United States
Environmental Protection
Agency
Office of Air Quality
Planning and Standards
Research Triangle Park NC 27711
EPA-450/5-83-006
November 1983
External Review Draft
Air
Review and
Evaluation of the
Evidence for
Cancer Associated
with Air Pollution
                  REVIEW
                  DRAFT
                  (Do Not
                  Cite or Quote)
              NOTICE


This document is a preliminary draft. It has not been formally
released by EPA and should not at this stage be construed to
represent Agency policy. It is being circulated for comment on its
technical accuracy and policy implications.

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                                                     r.
           REVIEW AND EVALUATION  OF
           THE EVIDENCE  FOR CANCER
        ASSOCIATED WITH  AIR POLLUTION
                Revised Report
                Prepared  for:

    U.S. Environmental Protection Agency
         Pollutant Assessment  Branch
Office of Air  Quality Planning and  Standards
                    Under:
           Contract No.  68-02-3396
                 Prepared by:

          Clement Associates, Inc.
            1515 Wilson  Boulevard
            Arlington,  VA  22209

            I.C.T.  Nisbet, Ph.D.
          M.A.  Schneiderman, Ph.D.
              N.J. Karch,  Ph.D.
             D.M.  Siegel, Ph.D.
              November 9,  1983


         U S  Environmental Prcteci'on Agency
         :  •  ••:•> x;. Library
              • •" L'--:,'..;;n Street
         L'.-i:j -,,-j, iiunois  60604    .>>''""

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                                                                            •"';.-.-. .. r
                                                                            !-M U'jj  j
                                DISCLAIMER
     This document is a preliminary draft, submitted by  a  contractor to
the Office of Air Quality Planning and Standards, U.S. Environmental
Protection Agency, that is being circulated  for  technical  review and
comment.  The contents should not be construed to reflect  the  views or
policies of EPA.
        U.S. Env1rcnrr.cr.ts!  TV,;: irv. A.

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                                 PREFACE

     This report has been prepared for  the  Office  of Air Quality Planning
and Standards (OAQPS),  U.S.  Environmental Protection Agency.  An earlier
version of this report  was prepared for OAQPS  in 1981.  The  report  dated
October 27, 1981 was revised to take account of criticisms and  suggestions
generated during an extensive peer review,  and to  incorporate new material
published during 1981  and 1982.  A draft  version of this report was
submitted to OAQPS on December 15, 1982.  The  December  1982  draft has
been further revised to take account of comments generated during an
internal EPA review, but no new material  has been  added.  This  revised
report is intended to be a comprehensive  review of scientific data
published through November 1982.   The Agency invites all readers of this
report to send any comments to Dr. Nancy  B. Pate,  Project Officer,
Pollutant Assessment Branch, (MD-12), Strategies and Air Standards  Division,
Environmental Protection Agency,  Research Triangle Park, N.  C.  27711.

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                                                                 f T'-f
                                                                 l\r i
                        TABLE OF CONTENTS


                                                          Page

EXECUTIVE SUMMARY

CHAPTER I.  INTRODUCTION

A.  Nature of Cancer                                      1-4

B.  Interaction Between Risk Factors                      1-5

C.  Nature of Air Pollution                               1-9

D.  Scope and Purpose of This Report                      1-11


CHAPTER II.  EPIDEMIOLOGICAL EVIDENCE

A.  Introduction                                          II-l

B.  Epidemiological Considerations                        II-2

    1.  Case Reports                                      II-4
    2.  Descriptive Studies                               II-4
    3.  Cohort Studies                                    II-6
    4.  Case Control Studies                              II-7
    5.  Issues Arising in Studies of Cancer               II-9
        and Air Pollution

C.  Source-Specific Studies                               11-25

    1.  Arsenic                                           11-27
    2.  Asbestos                                          11-36
    3.  Vinyl Chloride                                    11-40
    4.  Petrochemical and Other Chemical Emissions        11-42
    5.  Steel Manufacturing                               11-45

D.  Migrant Studies                                       11-46

E.  Urban-Rural and Other Geographical Studies            11-49

    1.  Introduction                                      11-49
    2.  Air Pollution as Factor in Geographical           11-54
        Variation in Cancer Rates

F.  Summary                                               11-91

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K"u
                              TABLE OF CONTENTS

                                                                Paqe
      CHAPTER III.  EXPERIMENTAL EVIDENCE AND MONITORING DATA

      A.  Introduction                                          III-l

      B.  Experimental Evidence                                 IIE-4

          1.  In Vivo Tests of Extracts of Air Pollution        III-5
              for Carcinogenicity
          2.  In Vivo Studies of Irritant Effects               111-12
              of Particulates
          3.  In Vivo Mutagenicity and Genotoxicity Testing     111-16
          4.  In Vitro Tests of Extracts of Air Pollution       111-20

      C.  Monitoring Data                                       111-30

      D.  Multimedia Exposure                                   111-33

      E.  Summary                                               111-35


      CHAPTER IV.  QUANTITATIVE ESTIMATES

      A.  Introduction                                          IV-l

      B.  General Estimates                                     IV-2

      C.  Estimates Based on Analysis of Epidemiological Data   IV-3

      D.  Summary                                               IV-19

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                            APPENDICES


A.  Table II-l:  Urban-Rural and Other Geographical
    Studies of Cancer

B.  Table III-l:  Concentrations of Carcinogenic
    Substances in the Air

C.  Calculation of the Risk of Lung Cancer to the
    General Population as a Proportion of the Risk
    to Males

E.  Derivation of an Estimate of the Proportion of
    Lung Cancer Associated with the Urban Environment

F.  Time Trends in Lung Cancer Rates

G.  Critique of Two Recent Reviews

H.  Data on Smoking Habits in Northern England

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                                                           DRAFT
                         LIST OF TABLES
Table 1-1:  Lung Cancer Death Rate by Smoking  History

Table 1-2:  Estimates of Percentage Reduction  in Lung
             Cancer Mortality in Asbestos Workers by
             Elimination of Exposure to Cigarettes and
             to Asbestos

Table II-l:   Urban/Rural and Other Geographic
             Studies of Cancer

Table II-2:   Urban/Rural County Ratios of U.S.  Age-
             Adjusted Cancer Mortality Rates,  White
             Population, 1950-1969

Table II-3:   The Urban Factor in Distribution  of Lung
             Cancer Mortality in the United  States

Table II-4:   Age-Adjusted Lung Cancer Rates  of
             Individuals Who Had Never Smoked  by Location
             of Lifetime Residence

Table II-5:   Urban/Rural Differences in Lung Cancer
             Mortality Rates in Nonsmokers

Table II-6   Estimates of the Percentage of  Current,
             Regular Cigarette Smokers, Adults Aged
             20 Years and Over, According to Family
             Income, Selected Occupation Groups, and
             Marital Stutus, United States,  1976

             Estimated Relative Risks of Lung  Cancer
             Mortality Expected from Differences in the
             Prevalence of Smoking in 1955 Between Urban
             and Rural Populations

             Cumulative Percentage of Persons  Becoming
             Regular Cigarette Smokers Prior to Age
             Specified, By Sex and Age, for  Urban,
             Rural Nonfarm, and Rural Farm Population

             Differences in Smoking Habits Between
             White Male Residents of Two Areas of
             Allegheny County, Pennsylvania

Table III-l: Concentrations of Carcinogenic  Substances
             in the Air

Table III-2: Estimated Human Exposure to PAH from
             Various Ambient Sources

Table IV-1:   Estimates of Lung Cancer Deaths Associated
             with Various BaP Levels
                                                          Page

                                                          1-7

                                                          1-7
                                                         Appendix A


                                                         11-49



                                                         11-51


                                                         11-57



                                                         11-58


                                                         11-62
Table II-7:
11-64
Table II-8:
11-67
Table II-9:
11-68



Appendix B


111-35


IV-8

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                                                           DRAFF
                        EXECUTIVE SUMMARY








     This report is a comprehensive summary and compilation



of scientific evidence related to the hypothesis that cancer



rates in human populations are associated with their exposure



to pollutants present in the ambient air.  Critical comments



on the strengths and weaknesses of the studies are presented,



and general methodological problems in the conduct and inter-



pretation of the studies are discussed.  However, no overall



judgments about the weight of the entire body of scientific



evidence are proffered.



     Section I of this report is an introduction, which defines



its purpose and scope.  Scientific evidence on the association



between air pollution and cancer is of three main types:  epidemi-



ological studies of factors associated with patterns and trends



in cancer rates; experimental studies of the carcinogenicity



and mutagenicity of substances and mixtures emitted into or



extracted from the ambient air; and monitoring studies of the



presence in the air of substances known to be carcinogenic.



The existence and strength of the hypothesized association



between air pollution and cancer have been subject to extensive



scientific debate.  One general problem is that a relatively



small effect of air pollution is difficult to establish conclu-



sively in the presence of larger (and variable) effects of



cigarette smoking and other factors (e.g., diet and alcohol).



Another is that most cancers have multiple causes, and there

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are conceptual and methodological difficulties in attributing



cancers to more than one causative agent in the presence of



interactions.  A third problem is that air pollution is complex



and variable in constitution, and is difficult to characterize



adequately from existing types of monitoring datai.



     Chapter II summarizes epidemiological studies of cancers



in the human population and their relation to air pollution



and other factors.  Section II.B introduces the four principal



types of epidemiological study and discusses issues that arise



in applying them to the cancer/air pollution problem.  Although



there is evidence that air pollutants may affect cancers at



a number of anatomic sites, only lung cancers have been studied



in sufficient detail for critical analysis.  Air pollution is



a complex mixture of agents, and most available measurements



are of conventional pollutants which are unlikely to be carcino-



genic in themselves; furthermore, the use of a single component,



such as benzo]a[pyrene, as a surrogate measure of the carcino-



genic potential of polluted air may not be entirely satisfactory.



Significant exposure to some air pollutants occurs in indoor



environments, where monitoring data are scanty.  The long latent



periods for human cancers mean that current cancers should be



associated with exposures in past decades, when some pollutants



were present at higher levels and others at lower levels.  The



most pervasive difficulty encountered in the conduct and inter-



pretation of epidemiological studies is the control of confound-



ing factors, especially cigarette smoking.  Other problems that
                                i1

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                                                            DRAFT
arise include the interpretation of sex and racial differences



in patterns of cancer mortality, the insensitivity of many



studies, and the selection of appropriate comparison populations.



     Section II.C summarizes source-specific or "neighborhood"



studies.  A number of studies have reported apparent elevations



in cancer rates in the vicinity of industrial facilities of



various types.  Some of these studies were of the large-scale



"ecologic" type, whose results are usually regarded as no more



than suggestive.  Most other studies in this category had sub-



stantial limitations, including problems in identifying appropriate



control populations, in controlling for smoking, occupation,



and demographic factors, and in verifying exposure.  The more



persuasive evidence of this kind is the finding of rare types



of cancer characteristic of exposure to vinyl chloride and



asbestos near putative sources of these materials, and the



statistical association in several studies between lung cancer



rates and proximity to smelters and other facilities handling



arsenic compounds.



     Section II.D summarizes several studies that suggest that



migrants from one country to another with higher  (or lower)



air pollution levels continue to experience cancer rates charac-



teristic of their native countries.  However, the rigor of



the statistical comparisons of cancer rates is questionable,



and the differences were not related to specific data on exposure



to air pollution.
                               111

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     Section II.E summarizes urban-rural and other geographical



studies.  Table II-l (Appendix A) tabulates 44 epidemiological



studies of cancers of the lung and other sites in human popu-



lations.  In 25 of these studies, a statistical association was



reported between cancer rates and one or more  (direct or indirect)



measures of air pollution, and most of the rest reported excess



frequencies of cancer in urban areas relative to rural areas.



Only five studies reported finding no association between cancer



rates and either urban location or measures of air pollution.



However, all the studies were subject to various limitations,



which complicate their interpretation.



     The most pervasive and difficult problem in these studies



is control for the confounding effects of cigarette smoking.



Ten studies of lung cancer rates in nonsmokers have shown rather



consistent urban-rural differentials in males, but not in females.



However, all but one of these studies were limited by small



sample size, and none was controlled for occupational exposures.



In a number of studies, urban/rural differentials, and statistical



associations between cancer rates and air pollution remained



significant after attempts were made to control for the effects



of smoking, using data on smoking habits in cancer victims



or population groups.  However, the completeness of the control



for smoking in these studies is disputed.  Some scientists



have argued that differences in aspects of smoking such as



age at starting to smoke and depth of inhalation cannot be



controlled for.  However, actual data on these aspects of smoking
                                IV

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do not confirm that they would contribute significantly to



urban/rural differentials.



     Only a few studies have been controlled for the effects



of occupational exposures.  One study that was so controlled



revealed significant urban/rural differentials in both occupation-



ally exposed and unexposed groups, after controlling for smoking.



Other studies have suggested interactions between effects of



occupation and air pollution.



     Chapter III compiles and summarizes experimental evidence



and monitoring data.  A substantial number of studies has shown



that extracts of airborne materials from polluted air and mate-



rials emitted from motor vehicle engines and stationary sources



are frequently carcinogenic and mutagenic when tested in experi-



mental bioassay systems.  Results of in vivo tests have included



the induction of skin cancers, lymphomas, fibrosarcomas, liver



tumors and lung tumors in mice, lung tumors in rats and hamsters,



and chromosome damage and sister chromatid exchange in hamsters.



Respiratory irritants present in polluted air may also enhance



the effects of other carcinogenic agents.  Results of in vitro



tests have included the induction of point mutations in bacteria



and Drosophila melanogaster, malignant transformation of mam-



malian cells in culture, and sister chromatid exchange and



DNA fractionation in cultured mammalian cells, including human



cells.  Positive results in these in vitro tests are generally



correlated with the potential for carcinogenicity.

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1RAFT
          Table III-l  (in Appendix B) lists more than 50 chemicals



     that have been detected in ambient air and that are known or



     suspected to be carcinogenic in humans or in experimental ani-



     mals.  Where comparative data are available, concentrations



     of these chemicals tend to be higher in urban areas than in



     rural areas, and  higher still in industrial emissions.  There



     is evidence of significant multimedia exposure to several pol-



     lutants after their release into ambient air.



          Chapter IV summarizes attempts to estimate the possible



     magnitude of the  association between lung cancer rates and air



     pollution levels.  For this purpose, the index of air pollution



     most commonly used is the average atmospheric concentration



     of benzo(a)pyrene  (BaP).  Use of this index, however, causes



     difficulties because average levels of BaP in the United States



     have declined considerably since 1958 and probably were higher



     still prior to 1958.  However,  it is not clear that overall



     hazards posed by  air pollution  would have declined, since levels



     of other potential carcinogens  have probably increased since



     1940.  BaP  is thus not a stable index of the carcinogenicity



     of polluted air,  and estimates  made at one time period cannot



     be applied directly to others;  for example, estimates based



     on study of lung  cancers in the past cannot be used directly



     to predict  future effects of current pollution.



          Recognizing  this problem,  Taole IV-1 tabulates 12 esti-



     mates of the quantitative relationship between lung cancer



     rates and air pollution levels  as indexed by BaP concentrations.
                                     VI

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                                                              Wj£-..
                                                              \r\]
Estimated slopes (regression coefficients) of this relation-



ship range from 0.1-5.0 x 10   lung cancer deaths/year per



ng/m  BaP.  Some of these figures should probably be adjusted



downwards by factors of 2 to 4 to take account of the likely



reduction in BaP levels since the 1930s and 1940s when most



effective exposures took place.  The estimates derived from



studies in the general population (0.8-5.0 x 10~5) are signifi-



cantly higher than those derived from studies of workers exposed



to products of incomplete combustion (0.11-0.8 x 10~5).  This



difference suggests that incomplete combustion products are



associated with only part of the excess lung cancer rates ob-



served in urban areas.  Most of the studies were based on lung



cancer mortality data from the 1960s, and the results are con-



sistent with the hypothesis that at that time factors responsible



for the urban excess in lung cancer were associated with about



11% of lung cancers in the United States.  In the one study



in which both cigarette smoking and potential industrial exposure



could be accounted for, this estimate was about 17%.  These



quantitative estimates can be derived without resolution of



the issue whether the unexplained urban excess of lung cancer



can or cannot be attributed confidently to air pollution, which



depends on interpretation of data summarized in Chapter II.



     Several Appendices to this report deal with technical



issues or tabulate information used in the text.  Appendix E



presents a calculation of the relationship between lung cancer



rates and location of residence, after controlling for age,
                               Vll

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DRAFT
     smoking, and occupational exposure.  Appendix F discusses time



     trends  in lung cancer incidence and mortality, including results



     from  three recent cohort analyses which support the hypothesis



     that  changes in smoking habits cannot account for all features



     or  trends in the U.S. and the U.K.  Appendix G presents a critique



     of  two  recent reviews of the subject that concluded that the



     association between air pollution and cancer rates was incon-



     clusive or weak.
                                    VII 1

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                         I.   INTRODUCTION



     The air contains a wide variety of hazardous substances,

exposure to which may be associated with a broad range of adverse

human health effects.  Relatively high-level short-term exposures

to some types of air pollution may result in acute sickness,

alteration of important physiological functions, or impairment

of performance.  Prolonged exposure to lower levels may result

in cancer or other chronic diseases, shortening of life, or

impairment of growth or development.

     During the past several years, the relationship between

air pollution and cancer has received considerable attention.

We have come to recognize a number of air pollutants as known

or suspected carcinogens.  Some of these are widespread and

derive from a variety of sources  (e.g., formaldehyde, benzene,

asbestos, and certain polycyclic aromatic hydrocarbons), while

others are limited to a few types of sources (e.g., certain

chlorinated solvents or arsenic and other smelter emissions).

The evidence for cancer risks associated with air pollution

or specific pollutants in air is of three main types:

     •  Data from epidemiological studies, which include descrip-
        tive studies of trends in cancer by time, place, or
        affected group (e.g., sex, age, race);  ecologic studies,
        which relate group differences in exposure to group
        differences in the frequency of cancers; and case-control
        or cohort studies, depending on whether the initial
        basis for study is a group of people with cancer (cases)
        or a group exposed to air pollution or  another risk
        factor  (cohort)
                               1-1

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HRAFT
         •  Data from laboratory  studies,  which  include  a  range
            of  in vitro studies  (e.g.,  studies of  the  mutagenicity
            in  cell  cultures  of substances identified  in ambient
            air), and long-term carcinogenesis bioassays in  animals
            of  specific pollutants,  complex mixtures of  pollutants,
            or  concentrates of air  samples

         •  Data from monitoring  studies,  which  involve  measurements
            of  individual  pollutants in air and  which  are  designed
            to  demonstrate the presence of specific substances
            or  mixtures, many of  which  may have  been found to be
            cancer-causing in epidemiological or laboratory  studies.

         Some have interpreted this evidence as  showing  that cancer

    risks are associated with air pollution, while others  have  argued

    that the evidence does not support  such an association.   Although

    several surveys  of the problem  have appeared in recent years,

    (see Appendix E), no comprehensive  review of the scientific

    evidence has yet been  published. This report  is intended to

    provide a compilation  and evaluation of this evidence.  Although

    we do not proffer an overall  judgment as to  the weight of evidence

    that air pollution (or specific pollutants)  is associated with

    increased cancer risk, we point out the strengths, weaknesses,

    and biases  of individual  studies, and discuss  a number of general

    problems in conducting and  interpeting studies of  this problem.

    At the request of EPA, this  review  covers  all  potential  airborne

    contaminants except radioactive substances.

         Much of the debate on  this question has focused on  urban-

    rural differences in cancer  incidence or mortality,  i.e., the

    observation of excess  mortality from cancer  at certain anatomic

    sites in urban compared to  rural counties  in the United  States.

    Elevated cancer risks  in urban  areas, whether  attributable

    to air pollution, cigarette  smoking, occupational  exposure,
                                   1-2

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                                                          DRAFT
or other factors, are cause for concern among public health



officials because over three-fourths of the population of the



United States now lives in areas defined by the U.S. Census



Bureau as urban.  Furthermore, rural air in certain parts of



the country may also contain carcinogenic pollutants, in which



case urban risks calculated from urban-rural differences would



tend to underestimate the role of air pollution, if carcinogenic



air pollutants are in fact a cause of these differences.



     In the debate on the relationship between air pollution



and cancer in the United States, urban-rural differences have



been interpreted by a number of scientists as evidence for



an association.  This has been supported by monitoring data



that demonstrate the presence in air of substances previously



shown in epidemiological studies (usually of workplace risks)



or animal studies to be carcinogenic.  Also, when controlled



for other risk factors, urban-rural differences have been used



to compute estimates of the magnitude of the risks posed by



urban air pollution.



     Other scientists have argued against the conclusion that



an association exists because:  (1) the evidence for increased



cancer risks from urban air pollution is not consistent, in



that some investigators have failed to final a correlation



between lung cancer and measured levels of pollution; (2) urban



lung cancer rates have not declined although air pollution,



as measured by the level of benzo(a)pyrene (BaP), has declined;



and (3)  urban-rural differences have in some studies been observed
                               1-3

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DRAFT
    only for men.   These scientists have cited differing patterns



    of cigarette smoking,  workers'  industrial exposure,  or both



    as alternative explanations for the urban-rural differences.



    Several scientists have argued  that, in the presence of large



    and variable effects of cigarette smoking, it is impractical



    or impossible to detect smaller effects of air pollution,  and



    that existing studies  that appear to indicate such effects



    are inconclusive.






    A.  Nature of Cancer



         Most experts now  recognize cancer as a multicausal,  multi-



    stage set of diseases  (OSHA 1980).   Cancer is a complex group



    of diseases that characteristically progress through a number



    of stages, each of which may be initiated or accelerated  by



    a number of different  intrinsic and extrinsic risk factors.



    Each factor may act at one or more stages, and different  factors



    may interact in an additive or  a synergistic (multiplicative)



    way.  Furthermore, because of the frequently long latency period



    between initial exposure and manifestation of cancer, typically



    20-30 years or more for many carcinogens, numerous opportunities



    exist for multiple exposures to potentially carcinogenic  agents.



    It follows from the complexity  of cancer causation and develop-



    ment that most cancers would have multiple "causes," and  it



    would be simplistic to assign to any cancer or type of cancer



    a single causative agent.



         The multistage, multicausal nature of cancer greatly compli-



    cates the task of identifying whether complex mixtures of sub-
                                   1-4

-------
stances, such as air pollution, cigarette smoke, and certain



workplace exposures are associated with increased cancer risks.



It offers, however, various opportunities for prevention, par-



ticularly when there is an interaction between risk factors.





B.  Interaction Between Risk Factors



     It is reasonable to expect that there will be interactions



among cigarette smoking, air pollution, and other complex risk



factors.  First, many of the substances identified as carcinogens



in cigarette smoke are also found often as pollutants in air



or as constituents of emissions in the workplace.  Second,



synergistic interactions lead to a combined risk that is greater



than the sum of the risks from each, in which case reduction



in exposure to either factor is likely to be accompanied by a



greater than proportionate reduction in risks.  When two factors



interact synergistically, each factor is not a confounding



factor of the other, but an effect modifier (Rothman 1975).



Synergism in the induction of lung cancer is known to occur



in humans with a number of agents, e.g., between cigarette



smoke and asbestos, and between cigarette smoke and radionuclides



(Selikoff and Hammond 1975).  In view of this, it is simplistic



to attribute all lung cancers in which smoking is involved



to cigarette smoking only.



     Walker (1981)  recently proposed a method for estimating



the proportion of disease attributable to the combined effect



of two factors.  This method first identifies the etiologic



fraction of disease due to the simultaneous action of both
                               1-5

-------
factors among exposed persons.  This fraction is an estimate
of the extent to which disease may depend on exposure to both
factors together.  An interaction index is then calculated,
which is the proportion of disease attributable specifically
to the interaction between two factors rather than to the disease
expected from each acting alone.
     As an illustration, if Walker's method is applied to the
smoking, asbestos, and lung cancer data of Enterline  (1979b)
(see Table 1-1), the etiologic fraction is 97%, i.e., the propor-
tion of lung cancer among smoking asbestos workers attributable
to smoking, asbestos, and their interaction, is 97%.  (The
remaining 3% is attributable to other, unidentified,  factors.)
Of the 97% attributable to smoking and asbestos, the  proportion
due specifically to interaction is 73%; the remaining 27% is
expected from the effect of smoking and asbestos acting alone.
     Another way of looking at interactions is to determine
the proportion of cancers that could be prevented by  eliminating
either factor.  This method attributes the interaction between
factors to the factor being eliminated.  This is illustrated  in
Table 1-2  (OTA 1981), based on the data of Lloyd (1979), which
are similar to those of Enterline  (1979b).
     The potential for interaction among cigarette smoking,,
air pollution, and other factors such as occupational expossure,
requires careful evaluation.  In such complex circumstances,
attributing all possible disease to cigarette smoking whenever
                               1-6

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                     TABLE 1-1

     LUNG CANCER DEATH RATE BY SMOKING HISTORY

            (Rates per 100,000 per Year)3
Cigarette
Smoking
Yes
No
Asbestos
Insulators
362.0
40.4
U.S.
Males
74.4
9.2
Relative
Risk
4.9
4.4
  alf the combined effect of smoking and asbestos
   changes with age, the age distribution in the popu-
   lation to which these data are standardized will
   affect the calculations of the etiologic fraction
   and the interaction index.

  SOURCE:  Table 2 in Enterline 1979b
                         TABLE 1-2

     ESTIMATES OF PERCENTAGE REDUCTION IN LUNG CANCER
       MORTALITY  IN  ASBESTOS  WORKERS BY ELIMINATION
         OF  EXPOSURE TO CIGARETTES  AND TO ASBESTOS
                                              Percentage
                                              Reduction
                                              from Current
Status                                        Rate
Current                                           0.0
Eliminate smoking only                           88.5
Eliminate asbestos only                          79.6
Eliminate smoking and asbestos                   97.8
SOURCE:  OTA (1981), Table 11, p. 68
                            1-7

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DRAFT
     cigarette smoking is a factor may lead to overe'Stimation o£
     the role of smoking and an underestimation of the importance
     of the other factors present.  The implication for cancer pre-
     vention is that interference with any (or all) identified risk
     factors is likely to reduce disease incidence.
          Synergistic effects between various substances, such as
     BaP and N-nitroso compounds, both of which are often present
     in ambient air, have also been demonstrated in animal experi-
     ments.  In one such experiment, Montesano et al.  (1974)  instilled
     intratracheally into hamsters BaP adsorbed on ferric oxide
     particles.  This was followed by repeated injections of  diethyl-
     nitrosamine.  BaP or diethylnitrosarnine alone produced few
     malignant tumors, but the two in combination produced a  35% inci-
     dence of. tumors, which appeared within a shortened latency
     period.  In a similar experiment, Kaufman and Madison (1974)
     found that either N-nitroso-N-methylurea or BaP plus ferric
     oxide induced tumors with a latency of about 50 weeks after
     intratracheal instillation.  When both substances were admin-
     istered together adsorbed on ferric oxide, they caused a higher
     tumor incidence with a latency of 20-35 weeks.  In another
     study, McGandy et al.  (1974) examined the interaction of BaP
     adsorbed on ferric oxide, and polonium-210, a carcinogenic
     radioisotope.  These substances were administered intratracheally
     in hamsters either simultaneously or sequentially.  In both
     cases, the number of lung tumors observed was more than twice
     the number expected from the effects of each substance acting
     alone.
                                    1-8

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                                                           DRAFT
C.  Nature of Air Pollution
     Polluted air is a complex and highly variable mixture



of substances.  In many studies reviewed in this report, the



term air pollution is considered synonymous with the air in



areas with concentrations of heavy industry.  Yet, since the



days of the dial-painters, carcinogenic hazards have been known



to exist in a number of light and service industries; because



substantial strides have been made in the last two decades



in reducing emissions from a variety of types of heavy industry,



some of the most hazardous emissions may be from small, older



operations that are not classified as heavy industry.



     Data have been collected on a number of common, widespread



pollutants, but the measurement of many pollutants is difficult



and expensive.  In many areas, only a fraction of the pollutant



mixtures may be measured or even known.  What is measured may



not easily be generalized to other areas.  Also, data that



have been collected rarely cover the extended periods of time



necessary for cancer to develop.  Current levels of pollutants,



often used as an indicator of past exposures, may not be represen-



tative of past exposures.



     Even when the definition of air pollution is tied more



closely to measured levels of specific pollutants, the results



of a study can be substantially affected by the location, fre-



quency, and extent of measurements.  Pollution levels tend



to drop off as distance from the source increases, and models



of dispersion and movement are sensitive to a number of assump-
                               1-9

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RAFT
  tions about such factors as meteorological conditions and trans-



  formations of pollutants.   If peak levels of a pollutant induce



  proportionately more damage than lower levels, the method of



  averaging over time as well as over distance can be important.



       Thus, because of the complexity of cancer induction and



  the difficulty in knowing with any accuracy the exposure levels



  of a pollutant, the task of assessing whether and under what



  circumstances pollutants in ambient air may be associated with



  increased cancer risk is a complicated one.  Aii: pollutants



  may act in several ways in the induction or promotion of cancer.



  First, substances emitted into ambient air may act alone to



  increase population cancer risks.  This appears to be the case,



  for example, with vinyl chloride.  Exposure to this substance



  in the workplace and perhaps in communities surrounding certain



  industrial plants increases the risk of developing angiosarcoma



  of the liver and possibly brain cancer.  Second, ambient air



  pollutants may interact synergistically with other factors.



  The interactions between smoking and asbestos or radionuclides



  are prime examples of this.  Third, substances present in the



  ambient air may also promote or otherwise enhance the carcino-



  genic effects of particular agents.  The phenomenon of promotion



  or cocarcinogenesis among chemical agents has been studied



  in experiments with animal tissues (Sivak 1979).  These exper-



  iments show that the effect of some carcinogens may be enhanced



  by other substances often present in polluted air  (i.e., fine



  particulates and such respiratory irritants as sulfur dioxide).
                                 1-10

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Chemical carcinogens present as pollutants in air at low concen-



trations might be expected to have only slight effect by themselves



but to have much greater effects when present in combination



with these promoters or cocarcinogens.   (There is also the



possibility that substances in the air may act antagonistically,



reducing the effectiveness of chemical carcinogens.  This might



be the case when carcinogenic pollutants are adsorbed to large,



nonrespirable particulates.)





D.  Purpose and Scope of this Report



     The purpose of this report is to review in a systematic



way the evidence for cancer risks associated with air pollution.



First, we review the epidemiological literature on cancer risks



associated with pollutants in ambient air, excluding radiation.



The evidence has been divided into four major categories:  source-



specific studies, urban-rural comparisons, migrant studies,



and time trend analyses.  In reviewing this evidence, special



emphasis has been placed on studies that were submitted to



the record during the recent rulemaking on EPA's proposed air-



borne carcinogen policy.  Second, we review the experimental



and analytical data which indicate that ambient air may contain



a wide variety of carcinogenic or mutagenic substances.  A third



section of this report reviews studies in which the possible



magnitude of the association between air pollution and cancer



rates has been estimated in quantitative terms.  Summaries



at the end of each section give an overall characterization



of the extent of each type of scientific evidence and of the
                               1-11

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strengths and weaknesses of this evidence.   However, no overall



judgments about the weight of the entire body of scientific



evidence are proffered.
                               1-12

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                                                           DRAFT
                  II.  EPIDEMIOLOGICAL EVIDENCE



A.  Introduction

     This chapter reviews the epidemic-logical evidence for the

proposition that ambient air pollutants contribute  (either alone

or in combination with other factors) to cancer rates observed

in human populations.  For purposes of this review, the chapter

has been divided into four major sections  (Sections B-E):

     •  Epidemiological considerations and issues

     •  Source-specific studies

     •  Migrant studies

     •  Urban-rural contrasts and other geographic studies,
        including attempts to correct or control for the con-
        tribution of other factors

Temporal trends in cancer rates are discussed in Appendix F,

with a review of attempts to interpret them in terms of temporal

changes in air pollution and in human exposure to other causative

factors.

     In the first section of this chapter  (Section B), four

major types of epidemiological studies that can be used to

investigate the association of air pollution with cancer fre-

quencies are described.  The strengths and weaknesses of each

type of study are described, and some specific problems that

arise when they are applied to the air pollution/cancer problem

are discussed.

     In the second section, source-specific studies, i.e.,

studies that examine the relationship between air pollution
                              II-l

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DRAF
    from a particular  industrial source and cancer  rates  in nearby



    communities) are reviewed.  These  include studies on  the  risks



    of cancer  in communities surrounding several typ€;s of  industrial



    facilities, such as smelters, asbestos factories, vinyl chlocide



    manufacturing plants, and petroleum refineries.  The  strengths



    and weaknesses of  each study are reviewed,  including  considera-



    tion of  inconsistent data.



        In  the third  section, studies of migrants  from areas of



    high pollution to  areas of low pollution  (or vice versa)  are



    reviewed.  In the  fourth section,  urban-rural and other geographic



    comparisons are reviewed.  In these studies cancer rates  in



    urban  (and/or industrial) areas are compared with those in



    rural  (and/or nonindustrial) areas.  The major  problems with



    these studies are  problems of confounding,  i.e., differences



    in such  factors as smoking and occupation that  often  exist



    between  urban and  rural areas.  In this section we review attempts



    to isolate or control for the confounding factors and thuss



    estimate the effects of air pollution, alone and in combination,



    in accounting for  the elevated rates of cancer  in urban areas.



        Recent trends in cancer mortality and  incidence  are  reviewed



    in Appendix F.






    B.  Epidemiological Considerations



        Properly designed and controlled epidemiological studies



    can provide direct evidence that human exposure to a  particular



    substance  or pollutant is associated with a risk of disease.



    Such studies, however, are unfortunately vulnerable to many
                                  II-2

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biases, leading to a wide range of limitations and uncertainties,



Because of these limitations, the findings of a single study are



rarely accepted as conclusive.  Epideroiologic findings carry



more weight when the results of- independent studies conducted



under different circumstances support each other.  The results



of epidemiologic studies may draw strength from, or may be



challenged by, the results of other epidemiologic studies,



as well as other types of scientific evidence.



     Epidemiologic studies have been classified into four main



types:



     •  Case reports



     •  Ecological or "descriptive" studies



     •  Cohort studies



     •  Case-control studies



The latter two types of study, which are also called "analytic"



studies, carry more weight than the first two types because



they are better controlled and usually reflect the consequences



of exposure to specific individuals.  Ecological and descriptive



studies usually generate evidence of the circumstantial type



and help to generate hypotheses about associations.  Where



the circumstantial evidence is very strong, they and certain



case reports can lead to relatively firm conclusions.  However,



in most cases it is necessary to test the hypotheses generated



by these studies, using the more rigorous methodology of cohort



or case-control studies.
                               II-3

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 CT
 r I
tl I
 1.   Case  Reports



      Case reports  take  the  form  of  reporting  illness  or  death



 in  one  or several  individuals—with the  illness  putatively



 associated with an exposure of an unusual  type or  a  set  of



 common  exposures.   Case reports  often serve as the starting



 point in  implicating  specific exposures  as possible  causative



 factors.   The  hypotheses generated  from  these reports generally



 need to be tested  systematically in controlled studies before



 they are  regarded  as  conclusive. In some  instances,  when the



 effect  is both pronounced and specific,  such  observations may



 provide strong evidence for an association between a  substance



 and the outcome observed.





 2.   Descriptive Studies



      Descriptive  ("ecological")  studies  relate group  differences



 in  exposure to group  differences in the  frequency  of  disease.



 The groups typically  comprise residents  of geographical  areas



 such as districts, cities,  or counties.  Data on geographical



 differences in cancer  frequencies among  these groups  are related



 statistically  to data  on differences in  exposure to  chemicals



 or  other  possible  causative factors.  Other descriptive  studies



 report  trends  in disease over time  or by demographic  character-



 istics  (sex, race, income,  etc.)  and attempt  to  associate these



 with specific  trends  or differences in exposure.  These  studies



 generally use  data that are readily available and  thus may



 serve for preliminary  examination of an  hypothesis or to generate



 other hypotheses.   Such studies  often provide a  basis for decisions
                               II-4

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                                                              "VO 'i T"-r
on whether to initiate more intensive studies, and, more rarely,
a basis for definitive conclusions about associations.
     Ecologic and other descriptive studies are sensitive to
misclassifications and the inappropriate handling of confounding
factors.  If sufficiently important, these may lead to under-
estimates, overestimates, or even reversals in the direction
of a relationship between exposure and outcome at the individual
level  (Robinson 1950, Greenberg 1979).  Results of these studies,
therefore, are usually considered tentative until confirmed
by other evidence.  In evaluating the descriptive and ecologic
studies bearing on the relationship between air pollution and
cancer, the degree and manner in which potential confounding
factors, such as age, sex, race, cigarette smoking and occupation,
are taken into account influences the outcome.
     Statistical sensitivity (the probability of detecting
a true association when it exists) is an important concern
in epidemiologic studies.  Ecological studies usually are insen-
sitive—or have a high noise-to-signal ratio.  For example,
sensitivity may be lost by considering all residents in a certain
geographic area as "exposed."  All residents are rarely equally
exposed.  If only a proportion of residents is actually exposed
and at risk, the risk estimated in such a study will be diluted
and may not even be detectable.  Migration between geographic
areas can also reduce sensitivity.  As people migrate between
areas, the distinction between exposed and unexposed is gradually
lost.  As a result, the ability of geographic studies to reveal
                              II-5

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DRAFT
      an effect is likely to be reduced substantially if migration
      is not taken into account.  The longer the cancer latency period,
      the larger this dilution effect is likely to be.  It has been
      estimated that when migration has taken place over a 30-year
      period (roughly the latent period of the disease of concern),
      40-50% of the actual excess risk will not be detected (Polifssar
      1980).

      3.  Cohort Studies
           Cohort studies (and the case-control studies discussed
      below) measure the association between the risk of diseasse
      in individuals and their individual exposures to etiological
      factors.   In cohort studies, a population of individuals is
      defined at the start of the study as being exposed, or "at
      risk", and is then followed over time in order to observe trie
      incidence and timing of disease.  A control population closely
      similar to the exposed population except for the exposure is
      established at the same time and followed in the same way.
      After a long enough time, incidence of disease in the two popula-
      tions is compared.
           The cohort approach is often used when the exposure under
      study is common.  For example, with such risk factors as smoking
      or air pollution, large cohorts can be readily identified.
      However, when the number of exposed individuals is small, the
      combination of a small cohort and a relatively uncommon outcome
      (i.e., some specific cancer) can considerably reduce the statis-
      tical power of a study, and small-to-moderate associations
                                     II-6

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generally will not be detectable.  Schlesselman  (1974) has



shown that the sample size necessary to detect a twofold increase



in lung cancer among exposed individuals  (with a statistical



confidence level of 95% that false positive results will not



be accepted, and a statistical power of 80% that true associa-



tions will be detected) would require over 24,000 persons in



both the study and comparison populations.  Such large sample



requirements often make it important that the power of a study,



particularly one with "negative" findings, be carefully eluci-



dated.  Cohort studies are also subject to biases and confounding



factors, unless detailed information about the characteristics



and exposures of the cohort and control group is collected.



These problems are especially important in retrospective cohort



studies, i.e., studies in which a cohort  is identified as it



existed at some prior time, and its subsequent disease history



is compiled.





4.  Case-Control Studies



     Case-control  (or case-referent) studies work in the opposite



direction from cohort studies (hence they are sometimes called



"trohoc" studies, which is cohort spelled backwards).  Cases



(and appropriate controls)  are identified, and an attempt is



made to discover the extent of prior exposure in both groups.



Case-control studies can usually be done much more quickly



(and much more cheaply) than cohort studies, particularly where



the disease (outcome) is rare.  For relatively rare conditions,



they are able to provide estimates of relative risk for exposed
                               II-7

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,FT
 vs.  unexposed  persons.   They  usually cannot  provide  estimates


 of  absolute  risk,  or  the magnitude  of risk that  follows  from


 a given  exposure,  although  methods  are being developed  for


 estimation of  exposure-specific  rates (Schlesselman  1982) .


 Case-control studies  suffer from recall bias--i.e0,  people


 are  asked to recollect  exposures after the fact,  and persons


 with a disease may probe their memories more deeply  or  more


 imaginatively  in order  to provide (for themselves) an explanation


 of  their illness.   These studies are also subject to distortion


 as  a result  of confounding, and  are very sensitive  (especially


 in  their risk  estimates)  to the  choice of appropriate controls.


      A schematic for  both case-control and cohort studies  is


 given below:
                               Disease
         Exposure      Present     Absent      Total
         Present          a          b         m.

         Absent           c          d         m2

         Total            h          n        ~~N
      In  the  cohort  study  one  defines  at  the  outset the  popula-


 tions m,  and m^.  After a suitable  period of time  an observation


 is  made  of a and  c  (b  and d  fall  out  automatically,  by  subtrac-


 tion) .   The  question  is then  asked:
                 is  __
                     m,
                               II-8

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i.e., is the proportion of cases among the exposed greater



than among the non-exposed?



     In a case-control study, the comparison is usually made



of ^ (the "odds" that disease occurred in previously exposed



persons) divided by °r (the "odds" that disease occurred in



previously unexposed persons).  The resulting "odds ratio",



B/3 = ^-, is an estimate of the relative risk to an exposed



person.  It does not matter that n-^ could be all persons  (in



a given hospital, say) with the disease and n_ a sample of



all persons without the disease.  If the n~ persons are appro-



priately chosen; the computation -a— yields an unbiased result
                                 DC


(Siemiatycki et al. 1981, Schlesselman 1982).





5.  Issues Arising in Studies of Cancer and Air Pollution



     In succeeding sections, we review a number of epidemiolo-



gical studies in which the association between cancer and air



pollution has been investigated.  The results of 46 of these



studies are summarized in tabular form in Appendix A (Table II-l),



Most of these studies have been of the descriptive or ecologic



type, but there have been several major prospective cohort



studies  (e.g. Hammond and Horn 1958, Hammond and Garfinkel 1980)



and several large case-control studies in which large samples



of lung cancer cases were compared to unmatched control popula-



tions (e.g., Haenszel et al. 1962, Dean et al. 1977, 1978).  Many



of the studies were not designed specifically (or exclusively)



to investigate air pollution, and some merely provide evidence



on urban/rural differences in cancer frequency.
                               II-9

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r-T
  I
      Seven general problems arise frequently in the interpre-


 tation of these studies, and will be discussed summarily at


 the outset.


      a.  Sites of action


      Although some of the descriptive studies analyze data


 on cancers at a number of sites, most of the detailed studies


 are limited to lung cancers.  The rationale for this focus


 (where stated) is that the lung is the primary site of contact


 with carcinogenic agents that may be inhaled from the ambient


 air, that lung cancer is the primary effect of cigarette smoking,


 that air pollution has components and characteristics in common


 with cigarette smoke, and that some evidence exists to suggest


 that air pollution may act to augment the effects of cigarette


 smoking  (see infra).  Although all of these points have some


 validity, there are several reasons to suspect that air pollution


 may also act at sites other than the lung.  First, air pollutants


 (like cigarette smoke and other airborne carcinogens) come


 into direct contact with other organs, including the upper


 respiratory tract, the gastrointestinal tract and the skin.


 Second, cigarette smoking is associated with elevated cancer


 rates at sites other than the lung, including the mouth, pharynx,


 larynx, esophagus, pancreas, kidney, and bladder; indeed, for


 every excess lung cancer in cigarette smokers there is between


 0.5 and 1.0 excess cancer at other sites  (Doll and Peto 1981,


 Wilson 1980).  Third, although the air pollutants that result
                               11-10

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                                                              DRAFT
from incomplete combustion include components that are found
in cigarette smoke, ambient air also contains many other inorganic
and organic carcinogens (see Chapter III below).  Some of these
are known to cause cancer in humans at sites other than the
lung, including the skin, pleura, peritoneum, hematopoietic
system, central nervous system, liver, and bladder (Althouse
et al. 1980).  Indeed, source-specific studies have yielded
some evidence for excess frequency of cancers in the central
nervous system, pleura, peritoneum, liver, lung, nasal cavity,
skin, and breast in residents living in the neighborhood of
industrial sources (for review see Section II-C below).  Fourth,
there is a marked urban excess of cancer at a number of anatomic
sites, including sites not known to be affected by cigarette
smoking or other identified urban factors  (see Section II-E
below).  Finally, if air pollution acts to enhance the effect
of cigarette smoking, it might well be conjectured that this
enhancement takes place at sites other than the lung.
     In principle, it would be desirable for these reasons
to review and analyze studies of cancer frequencies at all
sites where an association with air pollution might reasonably
be hypothesized.  In practice, data to support such an analysis
are scanty and inadequate.  Descriptive studies that suggest
excess cancers at other sites are rarely controlled for smoking,
and there is not enough quantitative information on the effects
of smoking at other sites to attempt to subtract out its effects.
                              11-11

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DRAFT
      Accordingly,  this  review  follows  others  in focusing  on lung



      cancer.



           Wilson  (1980)  suggested  that,  since cigarette smoking



      causes  about  one  cancer at  other  sites  for each  lung cancer,,  it



      would be  reasonable to assume that  the  same would  hold for  air



      pollution.  Hence,  he  estimated  the total number  of  cancers



      caused  by air pollution by  doubling his  estimate  for lung can-



      cers.  Although this assumption  is  probably more  reasonable



      than  ignoring other sites altogether,  it is questionable for



      at  least  three reasons.   First, more precise analysis of cancers



      attributable  to cigarette smokng  indicates that  the  ratio of



      excess  cancer at  other sites  to  excess  cancers in  the lung



      is  between  0.5:1  and 0.7:1  rather than  1:1 (Doll  and Peto 1981,



      Tables  10 and 11).   Second, the  dose-response relationships



      for airborne  carcinogens  at different  sites may  differ,  so



      that  the  ratio for  excess cancers at other sites  to  excess



      cancers of  the lung observed  in  cigarette smokers may be too



      high  (or  too  low)  for  persons exposed  to lower concentrations



      of  the  same carcinogens.  Third,  as pointed out  earlier, ambient



      air contains  a wider variety  of  carcinogens than  cigarette



      smoke,  many of which act  at sites other  than the  lung.  Hence,



      Wilson's  assumption may understate  the  likely risks  at other



      sites.  However,  epidemiological  data  to investigate this hypo-



      thesis  are  very scarce'.
                                    11-12

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                                                            DRAFT
     b.  Nature and measurement of air pollution
     "Air pollution" is a complex and variable mixture of agents
which exist in many chemical and physical forms, and no single
measure of "air pollution" can suffice to characterize fully
its potential to increase cancer risks.  Unfortunately, most
of the quantitative measures of "air pollution" levels that
are available, particularly for the periods in the past when
exposures are likely to have been most significant in causing
current cancers, have been conventional pollutants, such as
CO, S09, hydrocarbons, NO , ozone, etc., which are unlikely
      £•                  A
to be carcinogenic in themselves.  These measures serve at
best as indirect measures of fossil fuel combustion or industrial
activity, and may or may not be well correlated with ambient
levels of .carcinogens.  Other conventionally measured pollutants,
such as total suspended particulate matter or "smoke," include
products of incomplete combustion and are probably better corre-
lated with at least one class of airborne carcinogen.  However,
neither these nor other available measures of air pollution
have any direct relation to emissions or ambient concentrations
of many of the inorganic carcinogens or industrial organic
chemicals listed in Table III-l.
     Estimating air pollution exposure involves (1) the selec-
tion of an appropriate indicator of the carcinogenic potential
of air pollution, and (2)  estimating the levels of exposure to
that indicator.  Ideally,  one could then combine the contribu-
tions of each pollutant known or suspected to be related to
                              11-13

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DRAFT
     lung  cancer  (see  Table  III-l,  Appendix  B).   This  would  require
     a  detailed historical  inventory  of  the  substances present  in
     the urban atmosphere and  their relative carcinogenic  activity.
     Such  information  is not available.   In  its  place  several  indi-
     cators  of carcinogenic  potential have been  suggested.   For
     example, benzo[a]pyrene (BaP), a product of fossil fuel combus-
     tion, has been  used as  a  surrogate  by several  investigators.
          The early  choice of  benzo[a]pyrene appeared  to be  reason-
     able  in that BaP  has been found  to  be carcinogenic and  is  rela-
     tively  easy  to  measure.  However, similar levels  of BaP may
     occur with wide variations in  the levels of other carcinogenic
     air pollutants.  It has been shown  that polynuclear aromatic
     hydrocarbons (PAHs) emitted from different  sources are  not in
     a  constant relationship to each  other or to BaP (Friberg  and
     Cederlof 1978,  Wilson  et  al. 1980).  The use of BaP as  a  quan-
     titative predictor of  risk is  discussed further in Chapter IV.
          More recent  work  (Walker  1982)  suggests that it  may  be
     possible to  correlate  health effects (lung  cancer mortality)
     with  the presence of mutagenic airborne materials. The short
     term  mutagenesis  tests, such as  the  Ames test, could  be used
     to evaluate  the mutagenic potency of air samples.  This approach
     needs considerable development before  it will become  practical.
          There are  also problems associated with attempts to  monitor
     exposure of  the population to  air pollutants.   Monitoring is
     often done from a single  sampling station in a community  and
     measurements are  used  to  characterize  the levels  of various;
                                   11-14

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                                                           URAFT
pollutants in the surrounding census tract, city, or county.
Any extrapolation from monitoring data involves some error,
but when data from a few stations are used for a large area
involving a diffuse population, the likelihood of substantial
error is greater.
     To remedy this would require detailed data on environmental
release and behavior in relation to the size and characteristics
of the exposed populations.  The work of Greenberg (1979) indi-
cates that the use of more refined estimates of exposure increased
the strength of the association between industrial air pollution
and lung cancer mortality.  He found that total suspended particu-
late emissions, when corrected for land area and wind direction,
showed a much higher correlation with lung cancer mortality
than did the uncorrected emission figures.
     The lack of information on cumulative exposure of individ-
uals to air pollution is also a problem.  This is particularly
important with respect to cancer, in that incidence and mortality
are in general proportional to cumulative exposure for many
carcinogens (Schneiderman and Brown 1978).  Only in situations
where a single measurement of the indicator substance is propor-
tional to the cumulative exposure to that material will the
estimated relationship reflect the true effects of air pollution.
Over the last 10 years, levels of many air pollutants have
been declining (CEQ 1980).  If this decline has been uniform
throughout the country, then estimates based on current cancer
mortality (affected by past air pollution levels) would over-
                              11-15

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estimate the role of air pollution.  If, on the other hand,



air quality was improving in some areas while declining in



others  (or improving at different rates), the full effect of



air pollution would be underestimated.



     c.  Outdoor and indoor air pollution



     Although the term "air pollution" usually connotes pollu-



tion of outdoor air, it has recently been recognized that human



exposure to many airborne pollutants is often greater indoors,



even in nonoccupational settings.  Although systematic measure-



ments of indoor air pollution are scanty, it appears that ambient



concentrations are generally greater outdoors than indoors for



pollutants that are emitted into or produced in the ambient, air



(e.g., S02f photochemical oxidants, and industrial chemicals),



but are generally greater indoors for pollutants that are released



or concentrated indoors  (e.g., cigarette smoke, wood smoke,



radon, formaldehyde, asbestos, and components of consumer pro-



ducts)  (for a recent review, see NRC 1981).  Since most people



(other than outdoor workers) spend much more time indoors than



outoors (Szalai 1972), indoor exposures are potentially very



significant.  Two studies which indicated excess frequencies



of lung cancer in nonsmoking wives of smoking husbands  (Hirayania



1981, Trichopoulos et al. 1981; but see Garfinkel 1981b for



conflicting data) suggest that indoor exposure, at least to



components of cigarette smoke, may be sufficiently high to



lead to measurable increases in cancer risk.
                              11-16

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                                                           DRAFT
     In the absence of systematic monitoring or epidemiological



studies of indoor exposure, it is only possible to speculate



about its likely contribution to the results of the epidemiolo-



gical studies reviewed in this section.  For pollutants that



are generated outdoors, concentrations are frequently lower



indoors; for example, Wilson  (1980) estimated that average



BaP levels indoors would be only about 40% of those outdoors,



so that risks posed by BaP to the average person would only



be about 60% of those calculated on the basis of outdoor levels.



Hence, it seems reasonable to assure that for these pollutants



differences in exposure between polluted and unpolluted areas



would be reduced in magnitude, in proportion to the time spent



indoors.  For pollutants that are generated indoors, it seems



reasonable to assume that indoor concentrations would be rela-



tively independent of geographical location, degree of urbaniza-



tion, and degree of industrialization.  For both reasons, we



expect that indoor exposures would be more likely to dilute



than to enhance the effects of outdoor air pollution in leading



to geographical and urban/rural differences in air pollution.



However, direct study of this issue is needed to confirm this



expectation.  One limited exception to this generalization



is the indoor exposure of nonsmokers to cigarette smoke:  to



the extent that smoking is (or was) more prevalent in urban



areas, urban nonsmokers might be at correspondingly greater



risk.
                              11-17

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     d.  Latency period and trends in exposure



     A complicating factor in studies of the association between



air pollution and cancer--as in all epidemiological studies



of factors associated with cancer--is the long latency period



that usually elapses between exposure to carcinogenic agents



and the clinical manifestation of the resulting effect.



     For most carcinogenic agents the 'minimum latent period



before excess cancers can be observed is 20-30 years, and for



agents such as asbestos the effective latent period may be



45 years or more.  This means that associations have to be



estimated between present cancers and exposures far in the



past.  Unfortunately, systematic measurements of exposure to



air pollutants were limited in extent and reliability in the



period when they were likely to have been most significant



in causing current cancers—the 1930s, 1940s, and 1950s.



     A particular problem with air pollution is that its composi-



tion and distribution as well as its intensity has changed



since this critical period of interest.  One major recorded



change is the reduction in concentrations of particulates,



smoke, and SC>2 in cities, which has resulted from the reduction



in the use of coal for space heating and the location of fossil-



fuel-fired power plants in rural areas  (CEQ 1980) .



     While this has resulted in a reduction in measured levels



of BaP, the primary indicator of incomplete combustion, it



has also led to a general reduction in urban/rural differentials,



Since the 1940s there has also been a massive increase in produc-
                              11-18

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                                                             DRAFT
tion of synthetic organic chemicals, including volatile carcino-



genic compounds that can now be found in ambient air (Davis



and Magee 1979).  However, this has been accompanied by a general



improvement in industrial hygiene, housekeeping, and pollution



control, and by substantial efforts to reduce the emissions



of agents known to be carcinogenic, such as asbestos and vinyl



chloride.  The consequence of all these changes is that reduc-



tions in ambient levels of some carcinogenic agents have been



offset by increases in others, so that it is not possible to



determine even the direction of trends in the likely overall



risks posed by ambient air.  However, it appears likely that



the early control of combustion sources means that BaP is now



less useful as a surrogate measure of the potential carcinogeni-



city of ambient air, since its reduction has been accompanied



by the introduction of other  (and more uniformly distributed)



pollutants.



     e.  Sex and racial differences



     Most of the studies reviewed in this report have been



limited to (or focused upon) lung cancer in white males.  In



principle, useful information could be derived from sex and



racial differences in cancer frequencies and patterns.   For



example, lung cancer rates in black males are higher than those



in white males, although the former smoke less; this suggests



that black males are either inherently more susceptible or



are exposed more to other carcinogenic agents.  Also, urban/rural



differences in lung cancer rates are smaller in white females
                              11-19

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than in white males, even when crudely matched for smoking



habits; this has been used to argue that the unexplained differ-



ences must be due to occupational exposures in the males.



However, females also have substantial exposure to potential



carcinogens in the workplace, and it has not been shown that



the difference in their exposure is sufficient to explain the



differences in their patterns of lung cancer.  Another explana-



tion of this difference is that females spend more time indoors



in nonoccupational settings  (Szalai 1972), so that they would



be less exposed to urban/rural differentials in outdoor air



pollution.  A third possibility is that females are intrinsically



less susceptible than males  to carcinogens in the urban environ-



ment, because of hormonal or other factors.  Although we comment



on these and other features  of some of the studies under review,



in general the studies of blacks and females have not been



sufficiently rigorous to yield the precise information that



could be derived from them.



     f.  Confounding and effect modification



     The most pervasive difficulty encountered in the conduct



and interpretation of epidemiologic studies reviewed here is



the control of confounding (Rothman and Boice 1982, Schlesselman



1982).  In the present context, confounding is the influence



of an extraneous variable that may wholly or partially account



for an observed effect'of air pollution or may mask a true



association between air pollution and lung cancer.  A confounding
                              11-20

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                                                            DRAFT
variable is an extraneous variable that satisfies both of two

conditions  (Schlesselman 1982) :

     1.  it is a risk factor for lung cancer;

     2.  it is associated with exposure to air pollution, but
         it is not a consequence of that exposure.

     An obvious example of a confounding variable in epidemiologic

studies of lung cancer and exposure to air pollution is age.  The

risk of lung cancer increases with age, and sizeable differences

in the age distribution between "exposed" and "unexposed" groups

(or between cases and controls) could result in a spurious

association if the "exposed" group contained older individuals

than the "unexposed" group.  Similarly, if the "unexposed"

group contains older individuals than the "exposed" group,

an association may be masked.  For these reasons, epidemiologic

studies of air pollution and lung cancer generally control

for age differences, either by stratifying data according to

age or by standardizing to a reference population with a specific

age distribution.  Other risk factors for lung cancer that may

be confounding variables are cigarette smoking and occupational

exposures to certain chemical or physical agents.

     Confounding can be controlled by separating the effect

of air pollution from the effect of confounding factors (Rothman

and Boice 1982).  Three strategies can be used for this separation:

(1) strict matching of lvexposed" and "unexposed" individuals

or of cases and controls; (2)  stratification according to levels

or categories of the confounding factor, or (3)  multivariate

mathematical modeling.  Strict matching is rarely possible,
                              11-21

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DRAFT
      especially when large studies are undertaken, and it is employed



      only for certain case-control studies.  With stratification,



      the comparison of "exposed" with "unexposed" groups  (or of



      cases with controls) occurs within the various categories of



      the confounding factor.  In each stratum, the confounding factor



      is set within a limited range so that the comparison will not



      be significantly confounded.  When confounding is controlled



      by stratification, an overall measure of the effect of exposure



      can be obtained by taking a weighted average of the stratum-



      specific estimates.  There are two basic ways of combining



      such data  (Rothman and Boice 1982) :  pooling and standardization.



      An assumption in pooling is that differences among stratum-



      specific groups are due to sampling error.  Standardization



      does not require such an assumption.



           Stratification is often preferred to multivariate analysis



      because it permits closer examination of the data by the investi-



      gator and  it is easier to interpret by readers (Rothman arid



      Boice 1982).  Multivariate analysis, on the other hand, reduces



      the investigator's "feel" for the data, involves a set of mathe-



      matical assumptions about dose-response and related relationships



      that can rarely be tested and verified, and its results are



      often difficult to interpret in direct epidemiologic terms.



           A further complication in the control of confounding is



      the potential for interaction between a confounding variable



       (such as cigarette smoking) and a study variable  (such as a



      measure of air pollution).  If the effects of air pollution
                                    11-22

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                                                           UKAK
were enhanced in the presence of smoking, smoking would be



an effect modifier for air pollution (and vice versa).  Effect



modifiers are not true confounding variables, and treating



them as such could bias the estimate of effect and hence the



conclusion about the nature and strength of an association.



     In situations in which there may be several confounding



factors, stratification may not be practical and multivariate



analysis may be the preferred way to control several factors



simultaneously.  In addition, roultivariate analysis may include



various interaction terms in the event that some factors modify



the effects of the exposure under study.  The multivariate



model can give an estimate of the importance of the interaction.



Thus, multivariate analysis may constitute a more rigorous



tool than stratification in the presence of interactions, but



the results of such an analysis must be interpreted with care.



     Most of the studies reviewed below employed stratification



and standardization to control for confounding, but no study



fully considered all potential confounding factors.  Furthermore,



a general limitation in these studies was the failure to consider



interactions between study and confounding variables, or if



considered, the informal nature of the analysis.



     g.  Study sensitivity



     Several factors operate to reduce the sensitivity of many



studies.  Migration tends to blunt distinctions.  Small studies



are notoriously insensitive.  For example, Winklestein et al.



(1967), Dean (1966), and others, made computations on the basis
                              11-23

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DRAFT
     of a small number of cases  (often less than five).  Conclusions

     based on such small numbers must be viewed with  caution,  in

     that the variability can be large and a few cases can substanti-

     ally affect an apparent association.  As with the failure to

     control for potential confounding factors, this  could result

     in either an increase or a decrease in the observed associations.

     Dean (1966) reported that in inner Belfast the age-standardised

     lung cancer mortality rate for male non-smokers  was 36 per

     100,000 men.  This was based on six cases.  The  upper and lower

     95% confidence limits on this estimate  (Table A-5 in Lilienfeld

     et al. 1967) are 78.5 and 13.2, respectively.  For male non-

     smokers residing in the "Environs of Belfast," a lung cancer

     mortality rate of 16 per 100,000 men was calculated on the

     basis of one observed case.  Upper and lower 95% confidence

     limits on this estimate are 89.1 and 0.4.

          h.  Comparison populations

          Rural populations are often used as "control" or comparison

     populations.  Rural residents are not without exposure to environ-

     mental hazards such as farm chemicals, pesticides, etc.   Indeed,

     as pollution has become more widespread, the distinctions between

     exposed and unexposed populations have become blurred.  Higginson

     and Muir  (1979) noted this complicating factor:

              Often people assume that industrial and urban
         environments are more heavily contaminated by such
         agents as chemical'carcinogens, mutagens, and prom-
         oters, and that comparison with nonindustrial areas
         should provide measure of their effect.  However,
         these comparisons are complicated by widespread
         pollution by such chemicals as pesticides and herbi-
                                 11-24

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                                                             DRAFT
    cides occurring in modern agricultural societies
    as well as by behavioral and dietary variables.
                                                     (p. 1992)

Shabad (1980) recently made the same point, noting the many

sources of atmospheric benzo(a)pyrene and its ubiquitous nature

in the environment.  A recent analysis of cancer mortality

data led Greenberg et al.  (1980) to hypothesize that factors

leading to environmentally induced cancer are diffusing, and

are in turn leading to higher cancer mortality rates in parts

of the United States other than the historically high rate

areas of the Northeast and Great Lakes states.  Blot and Fraumeni

(1981) have reported on the recent great increase in lung cancer

rates in both rural and urban areas of the southeastern United

States.  The rates in the southeast now exceed those in the

northeast.  Whether this is due to the rapid industrialization

of the southeast following World War II  (and possible concomitant

increase in pollution) or to cigarette smoking differentials

(if there are any) is not at all clear.  It is thus unlikely

that present urban/rural ratios provide a full statement of

urban excess relative to a pristine environment.  Future urban-

rural differences may be even less.


C.  Source-Specific Studies

     The air in communities surrounding industrial point sources

has often been found to contain carcinogenic substances.  From

this it has been anticipated that residents of such communities

would be at increased risk of developing cancer.  The issue
                              11-25

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discussed in this section is whether this risk is sufficiently

large to be significant and measurable.

     This local type of pollution (point source, source-specific,

or neighborhood pollution)  has been distinguished from pollution

of the general ambient air  derived from diverse sources.  For

example, Hammond and Garfinkel (1980)  stated:

         General air pollution should be distinguished
    from "neighborhood pollution" of fumes or particulate
    matter from a factory or similar source.  The effects
    of this type of exposure may certainly increase
    the risk of cancer in people living across the street
    from a factory from which chemical or mineral conta-
    minations are discharged.  But the effects of such
    risks for people living within several miles of
    such factories has not  yet been clearly delineated.
                                                       (at p.207)

     Many carcinogenic substances have been identified through

studies of work-place exposure; of the 36 compounds or processes

that have been linked more  or less strongly to cancer  in humans,

23 are chemicals or processes identified in the workplace (Althouse

et al. 1980).  The impact of such substances may be restricted

entirely to the workplace or may extend to the surrounding

communities.  Community or  neighborhood studies are usually

undertaken to see if they give results that are consistent

with worker studies.  Attention has been drawn specifically

to studies of this kind that have reported associations of

excess cancer with community exposure to arsenic, asbestos,,

and vinyl chloride  (EDF/NRDC 1980).

     Ambient community exposure levels are likely to be consider-

ably lower than worker exposures, and the risks to individual

persons are expected to be  correspondingly lower.  However,,
                              11-26

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                                                            DRAM
the differences in ambient concentrations are offset by several



other factors.  Ambient exposure may occur over a longer period



of time  (i.e., be of greater duration) than workplace exposure.



The age at first neighborhood exposure may be considerably



lower than at first workplace exposure.  The population-at-



risk may be larger for ambient pollution than for workplace



exposure, and may include more highly susceptible individuals.



Therefore, exposure levels that may have resulted in only a



few cancers among a small worker population 7ould theoretically



lead to a substantial number of cancers among the larger (and



more diverse)  populations exposed to ambient pollution.  However,



any such effects would be more difficult to detect in the general



population because of their low expected frequency and the



difficulty in controlling for other factors.





1.  Arsenic



     Several studies have shown that workers exposed to high



levels of inorganic arsenic are at an increased risk of develop-



ing lung cancer (Lee and Fraumeni 1969, Pinto et al. 1977,



Ott et al. 1974).  Because of these findings, several investi-



gators have studied the risks to residents of communities in



which smelting and refining industries are located.  To date,



the evidence is mixed for an association between cancer and



community exposure to arsenic, some studies showing evidence



for increased cancer risks, others not.  Blot and Fraumeni



(1975) , Newman et al. (1976), and Pershagen et al. (1977) have



reported that residents in counties in which smelters are located
                              11-27

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are at increased risk of developing cancer.  Matanoski et al.
(1981) have reported that lung cancer rates are significantly
higher in areas near an arsenical insecticide plant.  Similar
increased risks were not found by Greaves et al.  (1980), Lyon
et al. (1977), and Perry et al.  (1978).
     Blot and Fraumeni  (1975) studied the distribution of lung
cancer mortality in 71 U.S. counties with primary smelting
and refining industries.  Using the data compiled by Mason
et al. (1975), cancer mortality rates  (for the period 1950-1969)
were calculated for the white population in each county.  Data
on the possible confounding factors of population density,
percentage urban, percentage nonwhite, percentage foreign born,
median number of years schooling, median income, and geographic
region were obtained from the 1960 census statistics.
     A general linear, multiple regression model with adjust-
ments for confounding was used to test for differences in cancer
mortality between the smelting/refining counties and the remain-
ing U.S.  counties.  It was found that lung cancer mortality,
corrected for demographic variables, was significantly higher
among both males (17%, p<0.01) and females (15%, p<0.05) residing
in the 36 counties with copper, lead, or zinc smelting or refin-
ing operations than in counties without these operations.
This excess was found in all counties independent of population
size, but the magnitude of the excess was lower in the more
populated, urban areas.  The authors concluded that these
                              11-28

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                                                             DRAFT
    ...findings suggest the influence of community air
    pollution from industrial emissions containing inorganic
    arsenic.

     This interpretation of these results was questioned by

ASARCO  (1980) , Air Products (1980) , and AIHC  (1981), who pointed

out that Blot and Fraumeni failed to distinguish between smelters

and refineries or between copper and other nonferrous smelters.

In response to this criticism, Blot and Fraumeni's data were

reanalyzed after eliminating the four counties containing only

refineries.  This recalculation did not substantially alter

the results  (EPA 1978).

     A second criterism of Blot and Fraumeni's study was that

most of the inhabitants in some of the counties did not live

in close proximity to a smelter.  However, this dispersion

of population would be expected to have reduced the reported

association by diluting the increased risks among those living

close to smelter emissions with the larger numbers of persons

residing far from the smelter  and thus unexposed, or exposed

to a lesser extent.  The finding that lung cancer rates were

only slightly elevated in the  more heavily populated counties

is consistent with this latter interpretation.

     ASARCO  (1980)  also argued that the failure to control

for smoking and occupational exposures could have resulted

in a serious distortion of the results.  However, as noted

by Blot and Fraumeni, occupation is unlikely to be responsible

for the elevated risks among females living in the counties;

nor is it likely that the small fraction of the total male
                              11-29

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population directly employed in the smelting industry  (less



than 1% in over half the counties) would account for a 12-17'fc



increase in total mortality from lung cancer.  Smoking data



collected by Newman et al. (1976)  suggested that smoking habits



among residents of smelting and refining counties were similar



to national patterns.  Thus, although rigorous control of these



confounding factors was not attempted, there is no evidence



that their effects would have been large.



     ASARCO (1980) also argued that there is no statistical



association between arsenic emissions from a given smelter



(expressed in kg/hr) and lung cancer rates in the county.



However, levels of human exposure to arsenic in a given county



are a function not only of the rate of emission from the nearby



plant, but also of the physical size  (area) of that county,



meteorological conditions, the location of the plant relative



to the human population, and other factors that influence the



level, duration, and nature of exposure.  For example, the



Tacoma, Washington smelter, which had the highest emission



rate, is located in the northwest corner of a rather large



county with much of the county population at some distance



from the smelter; therefore, it is reasonable to assume that



large numbers of residents were not exposed to arsenic or exposed



to low levels.  Also, the comparisons made by ASARCO  (1980)



did not take into account demographic differences between the



various counties.
                              11-30

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     Newman et al. (1976) studied the incidence and histologic



types of bronchogenic cancer occurring among residents of Butte



and Anaconda, two communities close to the Anaconda Copper



Company smelter in Montana.  Using data from the Montana State



Register and the U.S. Census, incidence rates for lung cancer



during 1969-1971 among men and women residing in Butte and



Anaconda were calculated.  These were compared to statewide



incidence rates for all of Montana.  It was found that the



incidence of cancer of the bronchus and lung was significantly



(p<0.01) elevated among men in both Anaconda and Butte, and



among Butte women (p<0.001).  Three respiratory cancer cases



were found among Anaconda women, which was greater than expec-



tation, but not statistically significant.  When Newman et



al. (1976) calculated the incidence of respiratory cancer among



Anaconda women for a 10-year period of observation, they found



that the Anaconda rate of 2.9 cases/10  persons was significantly



higher  (p<0.05) than the state rate of 1.4/10 .  However, this



study did not control for smoking habits or for occupation,



so it is not clear that the elevated rates were attributable



to exposure via the ambient air.



     Histological slides were available for 143 cases of lung



cancer diagnosed between 1959 and 1972.  These slides were



re-evaluated by a panel of pathologists, and information on



occupation, residence, and other factors was obtained for each



case.   Information on smoking habits was also obtained, but



for only 41% of cases.  The distribution of histologic types
                              11-31

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A ; \
 among four groups (copper-smelter workers, copper mine workers,



 "other" men,  and women of Butte)  was studied.  Newman et al. (1976)



 reported a high percentage of poorly differentiated epidermoid



 carcinomas among smelter workers.  This finding was consistent



 with similar  reports of excess lung cancer of this histologic



 type among smelter workers (Lee and Fraumeni 1969) and patients



 receiving arsenic medication (Weiss et al. 1972).  Poorly dif-



 ferentiated epidermoid carcinomas were also the predominant



 histologic type in female residents.  Newman et al. concluded



 that arsenic must be strongly suspected as the etiologic agent



 of excess cancer in both the smelter workers (males)  and in



 females in the general Butte and Anaconda populations.  However,



 well differentiated epidermoid carcinomas were the predominant



 type in male residents of Butte and in miners, and Newman et al.



 suggested that these might have resulted from exposure to a



 specific type of friable sanding material used on the city



 streets during the winter months.  Air Products and Chemicals



 (1980)  also drew attention to the lack of excess cancers among



 residents of  the counties surrounding Butte and Anaconda, but



 this does not conflict with the hypothesis of neighborhood



 effects.



      Pershagen et al. (1977)  studied the mortality from different



 causes  in an area surrounding the Ronnskarsverken smelter works



 in northern Sweden.  A reference population with a similar



 degree  of urbanization, occupational profile, fraction of popula-



 tion working, and geographic location was chosen.  For these
                               11-32

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two populations, causes of death over a 14-year period  (1961-1974)



were extracted from the National Registry on Causes of Death.



The age structure of each population was derived from the National



Censuses of 1960, 1965, and 1970.  The standard mortality ratio



(SMR) for lung cancer among males in the exposed population



surrounding the smelter works was significantly (p<0.01) elevated



when compared to that of the reference population.  The SMR



was not significantly elevated in contrast to national rates.



Closer examination by Pershagen et al. (1977) of the 28 male



cases with primary respiratory cancer revealed that 15 had



been employed at the Ronnskarsverken smelter.  Excluding these



individuals, a nonoccupational SMR of 173 was calculated, which,



although greater than 100, was reported to be not statistically



significantly greater than national rates (p<0.05).  Female lung



cancer rates in the Ronnskarsverken area (relative risk = 1.08)



were not significantly different from the national or comparison



population rates.



     There are, however, questions regarding the authors' statis-



tical handling of these data.  They calculated a (nonoccupational)



SMR of 173 (13 observed vs. 7.5 expected)  and reported that



this was not significantly greater than 100.  This difference



is statistically significant (Z = 2.01, p<0,05)  using a one-



tailed test, which appears appropriate because the hypothesis



under test is whether the SMR for males in the Ronnskarsverken



area is greater than in the comparison area.
                              11-33

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„ i
       This  study did  not  control  for  possible  differences in
  smoking  habits.  However,  large  differences  in smoking habits
  between  the  two local  populations  were  considered unlikely
  because  the  two populations  were similar  with regard to the
  several  socioeconomic  variables  to which  smoking habits are
  closely  related.
       Lyon  et al. (1977)  investigated the  incidence of lung
  cancer  in  communities  surrounding  a  copper  smelter near Salt
  Lake  City.   They identified  all  new  cases of  lung cancer during
  1969-1975;  all  new cases of  lymphoma were used as a control.
  Using addresses at the time  of death or diagnosis, cases and
  controls were grouped  according  to position  in relation to
  the  smelter. There  were no  significant differences in the
  frequency  of cancers between cases and  controls at any specific
  distances  from  the smelter.   The observed numbers of cases
  within  four  zones classified by  distance  from the smelter were
  all  close  to those expected. The  authors concluded that these
  findings were not consistent with  previous  reports of increased
  rates of lung cancer among persons living near smelters.
       Because of several  features of  this  study, however, the
  authors' conclusion  should be viewed with caution.  First,
  the  study  was apparently not controlled for  several potential
  confounding  factors  such as  smoking  and occupation.  Second,
  the  authors  failed to  consider migration in  and out of the
  study regions.   Third, the use of  lymphomas  as a control group
  appears  to have been an  inappropriate choice, since lymphomas
                                11-34

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                                                              DRAFT
have been associated with arsenic exposure  (Ott et al. 1974).



Finally, the study was conducted in a county in which the lung



cancer mortality rate was one of the lowest of the 36 counties



studied by Blot and Fraumeni (1975) , and hence did not provide



a sensitive test of their hypothesis.



     Greaves et al. (1980) studied the incidence of lung cancer



in ten communities surrounding nonferrous smelters.  For the



majority of these counties, the SMRs for lung cancer exceeded



100  (the range was 46-246).  The authors identified all lung



cancer cases (using as controls all cases of three other types



of cancer:  breast, prostate and colon) occurring between 1970-



1977 within a 20 km radius of each smelter.  Using addresses



for each reported case at the time of death or diagnosis, the



distance of the residence from each smelter was calculated



for each case.   The authors concluded there was no relationship



between distance from the smelter and the incidence of lung



cancer.  However, some of the problems of potential confounding,



interactions, and migration that were discussed earlier also



apply to this study.



     Matanoski et al. (1981) studied cancer mortality among



residents of an area surrounding an arsenical insecticide plant



in Baltimore.  A significant excess of lung cancers was observed



among males, relative to a comparison population matched for



race, sex, age, and socioeconomic status.  These comparisons



were based on 25 lung cancer deaths.  The excess in lung cancer



remained when two lung cancer deaths among plant employees
                              11-35

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were removed.  The remaining cases were distributed in an area



lying north and east of the plant.  This area had the highest



levels of arsenic in the soil, which tends to confirm the fact



of exposure.  No significant excess was found in females.



The interpretation of these results is complicated, however,



by the lack of information on interactions with smoking or



occupation.  The lack of an effect among women suggests that



other environmental or sex-specific factors  (either acting



alone or in conjunction with airborne arsenic) may be important.





2.  Asbestos



     A large number of investigators have demonstrated that



occupational exposure to asbestos results in an increased risk



of lung cancer, pleural and peritoneal mesotheliomas, and gastro-



intestinal cancers (IARC 1977).  The indestructibility of this



material, its wide use, and (at least in the past) large indus-



trial emissions make it a reasonable hypothesis that such risks



extended beyond the workplace.  This is a particularly suitable



example for study because two of the diseases associated with



asbestos exposure (pleural and peritoneal mesotheliomas) are



extremely rare in persons without exposure to asbestos, so



that they serve as markers for asbestos-induced disease.



     Several studies have reported apparent clusters or excesses



of mesotheliomas in the vinicity of asbestos factories, mills,



or mines.  Newhouse and Thompson  (1966) studied a series of



83 patients of the London Hospital with a diagnosis of mesothe-



lioma in order to determine the extent (if any) of asbestos
                              11-36

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                                                             IPS
exposure.  Full occupational and residential histories were



obtained for 76 of these patients.  Using 76 patients from



the same hospital suffering from other diseases as controls,



it was found that a significantly greater number of niesothelioma



patients (p<0.01) with no evidence of occupational or domestic



exposure were found to live within a half-mile of an asbestos



factory.



     This study has been criticized  (AIHC 1981) for the choice



of comparison groups.  The controls, although matched for date



of birth and sex, differed from the mesothelioma cases in that



all were admitted to the hospital during 1964 while the mesothe-



lioma cases were admitted between 1917 and 1964.  This could



be a source of bias because exposure conditions might have



changed considerably between 1917 and 1964.  Such biases would



be expected to have reduced rather than increased the reported



association, because the greatly increased use of asbestos



would have made general population exposure to asbestos more



common in 1964 than 1917, thus leading to greater potential



for exposure in the controls than in the cases.  The authors



stated that there was no evidence that the controls were less



likely than the study group to have worked in contact with



asbestos or to have lived in close proximity to asbestos fac-



tories.  However, the basis for this conclusion is not clear,



especially for the persons who had died long before the study



was conducted.
                              11-37

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rT
if \
       Wagner et al. (1960) reported on 33 cases of diffuse pleural


  mesothelioma that were observed in South Africa during the years


  1956-1960.  All but one of the cases had probable exposure to


  crocidolite asbestos as a result of occupational exposure (4 cases)


  or residence near the Cape asbestos mine fields (28  cases).


  The authors reported that during the same period of time, diffuse


  pleural mesothelioma was rarely diagnosed in other  (non-mining)


  areas of South Africa.


       Although this study had no concurrent controls, the occur-


  rence of diffuse pleural mesothelioma appears to be a sufficiently


  rare event that the results would undoubtedly be statistically


  significant if the population rates could be computed.  Air


  Products and Chemicals  (1980) , in a critical review, raised


  the question of whether natural outcroppings and weathering


  of ore bodies could have been the source of asbestos exposure


  rather than mining activities.  However, in either  case it


  seems likely that airborne asbestos was the causative factor.


       According to Bohlig et al. (1970), Dalquen et  al.  (1969)


  reported an increased incidence of mesothelioma in  the neighbor-


  hoods surrounding an asbestos processing factory in Hamburg,


  Germany.  Dalquen et al. (1969) reportedly found that while


  the total incidence of mesothelioma among the general population


  was 0.056% for the years 1959-1969, the incidence in the resi-


  dential area near the factory was 0.96%.  However,  no test


  of statistical significance was reported.  There are also several


  case reports  (Tayot et al. 1966, Bohlig et al. 1970, Stumphius
                                11-38

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                                                           DRAFT
1969, Wagner et al. 1971, and Tabershaw et al. 1970) of what
appear to be environmentally related cases of mesotheliomas
among residents in neighborhoods near shipbuilding areas.
     Hammond et al. (1979), in the largest of the neighborhood
studies, studied the mortality of residents in the vicinity
of an asbestos factory in Riverside, a district in Paterson,
New Jersey.  From city directories for 1942-1954, all male
residents of Riverside and Totowa, a second neighborhood which
served as the control, were identified.  These individuals
were traced until 1976.  During the period 1962 to 1976, no
significant differences were noted in total deaths:  780 (43.8%)
of Riverside subjects and 1735 (46%) of Totowa subjects had
died.  Specific causes were cancer at all sites:  163 (9.2%)
vs. 353 (9.4%), and lung cancers:  41 (2.3%) vs. 98  (2.6%).
One pleural mesothelioma in a Riverside male was reported in
1966.  Although this single case is not sufficient to support
the hypothesis generated by the case reports, the duration
of follow-up may not have been sufficient to have detected
environmentally-related mesotheliomas.  Newhouse and Thompson
(1965) found that the mean length of time between first exposure
and death for mesothelioma cases living in the neighborhood
of an asbestos factory to be 48.6 years (vs. 29.4 for factory
workers).
     Although the most extensive study was thus inconclusive,
the rarity of mesotheliomas in individuals not exposed to asbestos
gives considerable weight to the less well-controlled studies
                              11-39

-------
and case reports of mesotheliomas among residents in neighbor-
hoods surrounding asbestos mines and factories.  However, these
studies yielded no specific evidence for exposure other than
location of residence.  Environmental exposure to asbestos
also results from other activities  (e.g., wearing out of brake
linings in automobiles).  In one study of urban dwellers, nearly
all (96%)  had asbestos fibers in their lungs  (Churg and Warnock
1977).  This suggests that asbestos from diverse sources, parti-
cularly airborne asbestos, may be an important problem for
additional study.

3.  Vinyl Chloride
     Cases of the rare cancer, angiosarcoma of the liver (ASL),
have been reported among individuals living near vinyl chloride
fabrication, or polymerization, plants.  Brady et al.  (1977)
studied the cases of ASL reported to the Tumor Registry of
the Cancer Control Board of the New York State Department of
Health during the years 1958-1975.  For each of these cases
a matched control with an internal malignant tumor other than
primary liver cancer was selected from the registry.  Cases
and controls were matched on age  (same 5-year age group), race,
sex, county of residence, and vital status.  Relatives of both
the subjects and matched controls were interviewed in order
to obtain information on potential exposure to vinyl chloride
(VC), arsenic (As), or thorium oxide (Th02), as well as medical,
familial, residential, and occupational histories.  Of the
26 cases of ASL diagnosed during 1958-1957, 7 had direct exposure
                              11-40

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                                                            DRAFT
to VC, As, or Th02 (p<0.02).  Of the remaining 19, 5 lived
within one mile of a VC fabrication or polymerization plant.
Although this is suggestive of an association, no statistical
test of the possibility of this finding arising by chance was
reported.  Due to the small number of cases and the lack of
monitoring data directly demonstrating exposure, no firm con-
clusions are possible.
     Infante (1976)  studied the mortality patterns of residents
of four Ohio communities with polyvinyl chloride (PVC) production
facilities.  Using data for the Ohio white population as the
standard, SMRs were calculated for central nervous system (CNS)
cancer, leukemia and aleukemia, and lymphomas.  He found that
in these four communities the number of observed CNS cancers
for both sexes combined during 1958-1973 was significantly
greater than that expected (38 observed vs. 24.07 expected
p<0.001).  SMRs were also calculated for each of the counties
excluding the areas surrounding the PVC facilities, but no
significant excesses were found.
     This study was reviewed by Air Products and Chemicals
(1980), who commented that interpretation of this study is
complicated by the fact that (1) the increase in CNS tumors
was observed primarily in males, and (2) most of the excess
occurred in one part of the study area  (Painesville).  They
argued that these factors seriously challenge any conclusions
of association of vinyl chloride with community cancer risks.
                              11-41

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To these criticisms should be added the failure to control



for occupational exposure, race, and socioeconomic status.



     Infante (1976) has also been criticized by the Society



of the Plastics Industry  (1980) for including North Ridgeville



in the study group while not including other cities located



as close as North Ridgeville or closer to the PVC facilities



(e.g., Mentor,  Ohio).  If North Ridgeville is excluded from



the study group, the excess in CNS tumors remains significant



(p<0.05, one-sided test), however.





4.  Petrochemical and Other Chemical Emissions



     A number of studies have indicated that workers exposed



to a wide range of industrial chemicals are at increased risk



of developing cancer (Althouse et al. 1980).  An increased



risk of bladder cancer has been reported among workers exposed



to benzidine (Case et al. 1954) and paints  (Cole et al. 1972}.



Exposure to polycyclic aromatic hydrocarbons (found in crude



petroleum, catalytically cracked oils, soot, and other pyrolysis



products) has been associated with increased incidence of cutaneous



and pulmonary cancers in workers  (Doll et al. 1972, Lloyd 1971,



Hammond et al.   1976, Fraumeni 1975).



     Blot et al.  (1977) studied cancer mortality patterns for



1950-1969 in the U.S. counties where the petroleum and petro-



chemical industries are most heavily concentrated.  Using methods



similar to those of Blot and Fraumeni  (1975) described above,



it was found that male residents of these counties experienced



significantly higher rates for cancers of the lung, nasal cavity
                              11-42

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                                                              DRAFT
and sinuses, and skin compared to male residents of counties
with similar demographic characteristics but with no petroleum
industry.  Lung cancer rates for white females in petroleum
industry counties were also significantly elevated.  Due to
the lack of information on occupation and smoking, however,
the specific reasons for these associations are ambiguous and
somewhat debatable.  Similarly, the causes of increased mortality
rates for cancer of the bladder and liver among males and females
(increased lung cancer mortality for males only)  in U.S. counties
with chemical industries are not identifiable without additional
data.  However, the finding of increased rates for both males
and females suggests that factors other than occupational expo-
sures are likely to be involved.  Blot et al. (1977) noted
that if occupational exposures in males and females were solely
responsible for these increases, the worker risks would be
substantially above those of the general population, and should
be easily detectable.
     Capurro (1979) studied the mortality experience of a popu-
lation of 117 people exposed to solvent vapors from a chemical
plant for more than 5 years.  These individuals were followed
for a 6-year period (1968-1974).  During this time there were
14 deaths (vs.  6 expected), 7 of which were due to cancer.
In particular,  there were four cases of lymphoma (three reported
on death certificates).  The ratio of observed to expected
deaths (based on Maryland death rates) was 3.0/0.0187 = 160.
The incidence of new cases of cancer of the larynx was also
                              11-43

-------
f
\
elevated 61-fold  (2 observed vs. 0.033 expected on the basis


of incidence rates from the Connecticut Tumor Registry data).


These high relative risks are based on few cases, and the authors


noted that all four individuals with lymphoma were previously


employed at a paper mill that closed in 1948.  Questions also


remain on the nature of the study population and the suitability


of using state rates for comparison, particularly because two


different sets of rates, Connecticut (for incidence) and Maryland


 (for mortality), were used.


     Hearey et al. (1980) compared estimated age-adjusted cancer


incidence rates  (1971-1977) among Kaiser Foundation Health Plan


 (KFHP) members living near petroleum and chemical plants in the


Contra Costa area of the San Francisco Bay region, to incidence


rates among KFHP members living in the remainder of the bay


area.  Comparisons of rates for the two areas showed no evidence


of increased cancer risk in KPHF members in the area near the


plants.  However, questions remain on the composition of the


study population and whether the individuals enrolled in the


KFHP were representative of the Contra Costa study population.


It is unclear whether the controls were suitable for studying


the relationship between industrial emissions and cancer.


No adjustments were made to account for possible differences


in occupation, duration of residence, socioeconomic status,


and smoking, and it is not clear from the written report that


the study was controlled for race.  There is also some question


whether there were sufficient differences in potential exposure
                              11-44

-------
                                                              DRAFT
levels between study and comparison populations to produce



an effect large enough to detect.





5.  Steel Manufacturing



     Elevated rates of cancer have been reported in counties



where steel is manufactured.  Perry et al. (1978)  reported



that, among the female residents of Johnstown, Pennsylvania,



the age-adjusted mortality rates of several types of cancer



(oral, respiratory, breast, urinary, central nervous system,



and peritoneal and other digestive system cancers)  were signi-



ficantly elevated over those of residents of the county living



outside Johnstown.  Rates in men, with the exception of digestive



system cancers (and breast cancer), were also elevated in the



community.  Carnow (1978) , in examining data from Allegheny



County, Pennsylvania, and Lake County, Indiana, large steel



production areas, also found increased lung cancer mortality



rates among both males and females.  Cecilioni (1972, 1974)



analyzed the cancer mortality rates in Hamilton,  Ontario, a



steel manufacturing city, in 1966-1970.  He found the highest



rates in districts close to the steel mills.   Similarly, Lloyd



(1978) found significantly elevated lung cancer rates among



male residents living near and downwind of a Scottish steel



foundry in Scotland.   This clustering could not be wholly accounted



for by cigarette smoking or occupation.
                              11-45

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DRAFT
       D.  Migrant Studies
            This section summarizes several studies that have reported
       differences in site-specific cancer rates between native and
       foreign-born populations in South Africa, New Zealand, and
       the United States.
            Haenszel (1961) found that mortality from lung and bronchial
       cancer was higher for English and German immigrants to the
       United States than for native Americans, but lower than the
       rates in their countries of origin.  The results suggest that
       immigrants bring some of their greater liability to cancer
       with them, possibly because of living conditions experienced
       earlier.  Yet, by leaving their native countries, they lose
       some of the still greater risk existing among people remaining
       at home.  This might imply that migration involves reduction
       in exposure to some "native" carcinogens.  Dean  (1964) observed
       that the lung cancer rates for British subjects migrating to
       South Africa were intermediate between those of native-born
       South Africans and comparable to those of British subjects
       who remained in Great Britain.  Eastcott (1956) found that
       immigrants from the United Kingdom had a 35% higher risk of
       lung cancer than native New Zealanders if they came from the
       United Kingdom before the age of 30, and a 75% higher risk
       if they migrated after the age of 30.  The per capita consump-
       tion of cigarettes was higher in New Zealand and South Africa
       than in the United Kingdom.  Differences in smoking habits
       are, therefore, not likely to account for these findings.
                                     11-46

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                                                           DRAFT
     Among Norwegians living in Norway, where air pollution
levels are generally low, the lung cancer rate is also low.
Among the U.S. urban populations, where air pollution levels
are higher, the rate is twice as high.  For Norwegians who
have migrated to the United States, the rate is midway between
these (Reid et al. 1966).
     In a study of male residents of Cuyahoga County, Ohio,
the risk of lung cancer for Italian immigrants was found to
be lower than that for U.S.-born residents and similar to the
rate in their native country.  Immigrants from England and
Wales showed a lung cancer mortality that was similar to the
rate for natives of the United States but lower than the rate
for their peers in England and Wales  (Mancuso and Coulter 1958;
see also Mancuso and Sterling 1974).  Adjustments for smoking
were not made.
     These studies of migrants suggest that early environmental
exposure (in addition to smoking) is important in determining
the risk of lung cancer later in life.  In each of the studies
discussed, the frequency of lung cancer among migrants is interme-
diate between the rates in the original country and the adopted
country.  The epidemiological evidence that risk is higher in
migrants from countries with high pollution levels (and lower
in migrants from countries with low pollution levels) is con-
sistent with the hypothesis that polluted air is a contributing
factor in the etiology of lung cancer.
                              11-47

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     If it can be assumed that the exposure of emigrants from
a particular country is representative of the general population
exposure, these findings would indicate that long-term exposure
to ambient air pollutants increases an individual's risk of
lung cancer.  However, there are several problems with the
interpretation of these studies.  First, it is not clear that
the statistics on cancer rates in the different countries and
on persons of different national origins in the same country
were collected in the same way and were rigorously comparable.
For example, in most studies cancer rates for immigrant communi-
ties were compared with national rates in their native and
adopted countries.  Second, none of the studies was controlled
or even stratified for smoking habits, occupation, socioeconomic
status, of urbanization in the country of origin.  Migrants
constitute self-selected populations that have experienced
unsatisfactory conditions in their country of origin; it is
a matter of conjecture to what extent these conditions may
have involved occupational exposures, residence in polluted
areas, or other factors that may have increased their cancer
risks.  Third, none of the studies reported actual measures
of the air pollution levels to which the population groups
were exposed, either in their country of origin or their country
of adoption.  Although it is a reasonable hypothesis that air
pollution levels were generally low  (in the relevant period
prior to 1940) in New Zealand, South Africa, and Norway, inter-
mediate in the United States, and high in Great Britain, there
                              11-48

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                                                             DRAFT
were presumably overlooked variations in exposure within each



country.  Thus, although these studies are consistent in sug-



gesting that migrants from one country to another carry part



of their risk with them, the studies do not permit rigorous



tests of the hypothesis that early exposure to air pollution



was a critical factor contributing to this risk.





E.  Urban-Rural and Other Geographical Studies



1.  Introduction



     Geographical patterns of cancer have been studied more



extensively than specific industrial emissions.  Of particu-



lar relevance to the problem of air pollution and cancer is



the comparison between cancer rates in polluted and nonpolluted



areas.



     Many such comparisons have been made, both directly and



indirectly.  For nearly all monitored pollutants, urban areas



have higher levels of pollution than rural areas.  If common



constituents of air pollution increase the risk of developing



cancer, it would be expected that cancer rates in polluted



areas would be higher than those in areas with relatively little



pollution (all other factors being equal).  When rates in urban



areas are compared to rates in rural areas, this is observed.



A number of investigators (Table II-l, Appendix A) have reported



that for lung and other forms of cancer, incidence and mortality



rates are higher in urban areas than those in rural areas.



For example, Table II-2 summarizes data on age-adjusted cancer
                              11-49

-------
                            TABLE  II-2

         URBAN/RURAL  COUNTY RATIOS  OF  U.S.  AGE-ADJUSTED
       CANCER MORTALITY RATES, WHITE POPULATION, 1950-1969
Male
Site
Esophagus
Larynx
Mouth and Throat
Rectum
Nasopharynx
Bladder
Colon
Lung
All Malignant
Neoplasms

Urban/
Rural
3.08
2.96
2.88
2.71
2.17
2.10
1.97
1.89
1.56
Female
Site
Esophagus
Rectum
Larynx
Nasopharynx
Lung
Breast
Bladder
Other Endocrine
All Malignant
Neoplasms

Urban/
Rural
2.12
2.11
1.92
1.66
1.64
1.61
1.58
1.52
1.36
SOURCE:  Goldsmith (1980), Table 1, p. 206
                              11-50

-------
                                                              DRAFT
mortality rates in the United States between 1950 and 1969.
The ratios between overall rates in counties classified as
urban and rural were 1.56 for all malignant neoplasms in males,
and 1.36 for all malignant neoplasms in females; these ratios
exceeded 1.5 at 10 individual sites (Goldsmith 1980).  Table II-3
summarizes data from six studies of lung cancer mortality in
the U.S. in the period 1947-51.  Urban/rural ratios observed
in these studies varied between 1.2 and 2.8 (Shy and Struba
1982).  Table II-l (in Appendix A)  summarizes the results of
44 other studies, of which at least 39 reported higher rates
of cancer in urban and/or industrialized areas than in rural
and/or nonindustrialized areas.
     So consistent are the findings of an urban-rural difference
in cancer risk that no one seriously questions their validity,
and most researchers speak of an "urban.factor."  However,
when different researchers have tried to explain this urban
factor or other geographical differences disagreements have
arisen.  Explanations of differences in terms of potential
risk factors in addition to air pollution include smoking pat-
terns, occupational exposures, population density, life-style,
socioeconomic differences, and/or several other factors.  In
the following sections, we review the evidence for air pollution
as a factor associated with geographical variations in cancer
rates.
                              11-51

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2.   Air Pollution as Factor in Geographical Variation in Cancer Rates



     It is a plausible hypothesis that air pollution is respons-



ible for some fraction of the urban factor or other geographical



variations in cancer.  As discussed in Chapter III, the urban



atmosphere contains many chemical compounds, several of which



are known to increase the risks -of cancer among persons exposed



to them in the work place or via personal exposure.  Many other



chemicals found in ambient air are known to cause cancer in



experimental animals, and mixtures of pollutants extracted



from ambient air have been found to be carcinogenic and mutagenic



in experimental tests.  The issue to be addressed is whether



exposure of the general population is sufficient to lead to



significant increases in cancer risk.  This section of the



report reviews the epidemiologxcal evidence on this question—



i.e., whether the effects that may exist are large enough to



be detected against the variations in cancer rates imposed



by other factors.  Quantitative estimates of the possible mag-



nitude of the contribution of air pollution are discussed in



Chapter IV.



     Table II-l  (in Appendix A) summarizes the results of 44 studies



in which geographic patterns of rates of lung cancer and other



cancers have been compared to geographic differences in air



pollution and other risk factors.  The most significant of



these studies are also summarized and discussed in the text.



In a number of studies, various measures of air pollution have



been reported to be correlated with the geographic distribution
                              11-54

-------
                                                             DRAFT
of lung cancer, and these results are consistent with the hy-
pothesis that air pollution is a factor.  However, each indi-
vidual study has had limitations that preclude a definitive
test of this hypothesis.  These limitations are also noted
in Table II-l, and are discussed in the text.
     The most common problems with roost of these studies is
the inability to control fully for factors that may confound
or interact with ambient air pollution, such as industrial
air pollution, cigarette smoking, or other personal exposures.
As a result, the role of several factors known to be associated
with cancer cannot be fully separated out to account for the
"urban factor" in any individual study.  Accordingly, scientific
judgment on this issue has to be made on the basis of the weight
of the evidence provided by a number of different studies in
which separation of these factors can be made.  In this section,
we examine the potential differences in possible confounding
factors and their relationship to observed geographical patterns
of cancer incidence and mortality.
     a.  Smoking
     Many of the studies of geographical variations in cancer
summarized in Tables II-l and II-3 did not take into account
possible differences in smoking habits between the study and
comparison populations.  As a result, urban/rural differences
in smoking patterns cannot be ruled out in these studies as
a possible explanation of the urban factor.  As mentioned in
Chapter I and Chapter II.B, however, there are a number of
                              11-55

-------
ways in which smoking may interact with air pollution or other
factors.  When data on smoking habits were taken into account,
smoking has usually been treated as a confounding factor.  If
there are synergistic interactions between smoking and another
factor, controlling for the effect of smoking as a confounding
factor would tend to overestimate the role of smoking and under-
estimate the role of any factor with which it interacts.  Control-
ling for smoking tends to submerge the portion of cancers clue
to the interaction into the portion due to smoking acting alone
(Walker 1981).  Smoking was taken into account in several studies,
however, and the corrected residual urban lung cancer rates
were higher than those in rural areas (Dean 1966, Stocks and
Campbell 1955, Dean et al. 1977, 1978, Hammond and Garfinkel
1980, Haenszel et al. 1962, Haenszel and Taeuber 1964, Buell
and Dunn 1967).  The main scientific issue to be discussed
in reviewing these studies is whether the ways in which smoking
was taken into account were sufficiently complete and precise
to rule out smoking as a complete and sufficient explanation
of the urban/rural difference  (see Doll and Peto 1981).
     The simplest, and possibly best, way to control for the
effects of smoking is to limit the analysis to data on cancer
in nonsmokers.  One of the earliest available urban/rural com-
parisons of cancer rates has recently been presented by Logan
(1982), who summarized .and republished the results of a mortality
survey conducted in England in 1881.  A breakdown of comparative
mortality by occupational status and by large districts yielded
                              11-56

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                                                              DRAFT
the following data on cancer rates (standardized per 1,000

cancer deaths in the total population):

        All males                     47
        Occupied males                44
          in London                   59
          in industrial districts     48
          in agricultural districts   40

A similar survey conducted in 1901 led to similar results,

with a ratio of 1.69 between cancer rates in London and in

agricultural districts.  These data are important because they

refer to a period long before cigarette smoking became widespread;

hence, the urban/rural differential cannot have been signifi-

cantly affected even by passive smoking.  (However, there was

no control for occupation or other urban factors, and the reli-

ability and completeness of diagnosis and data collection is

not clear.)

     Haenszel et al. (1962) and Haenszel and Taeuber (1964)

obtained smoking and residence histories for a 10% sample of

all lung cancer deaths in white females in the United States

in 1958 and 1959, and for a 10% sample of all such deaths in

white males in 1958.  These data were compared to such informa-

tion from a very large sample of the general population.   Because

of the large sample sizes, these studies provide the best avail-

able information on lung cancer by location of residence in

nonsmokers (individuals who had never smoked).  Furthermore, it

is possible to control -for the effects of migration by restricting

attention to lifetime residents of either rural or urban areas.
                              11-57

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DRAFT
                                 TABLE II-4

               AGE-ADJUSTED LUNG CANCER RATES OF INDIVIDUALS
           WHO HAD NEVER SMOKED BY  LOCATION  OF LIFETIME RESIDENCE
Males
Location
of Lifetime
Residence
Urban
Rural
Lung Cancer
Mortality
Rate/100,000
12.5
3.9
Relative
Risk
3.2
1.0
Females
Lung Cancer
Mortality
Rate/100,000
8.4
5.0
Relative
Risk
1.7
1.0
     SOURCE:  Haenszel and Taueber 1964, retabulated by Pike and
              Henderson 1981
     The results of this comparison are presented in Table II-4.

     Pike and Henderson  (1981) suggested that the urban/rural ratio

     in men is spuriously high, because the lung cancer rate for

     rural men was actually lower than that in rural women.  However,

     even the ratio in women  is significantly higher than unity.

          Shy and Struba (1982) summarized the results of six other

     studies in which lung cancer rates in nonsmokers were stratified

     according to location of residence.  Another set of data is

     available from the study of Dean et al.  (1977, 1978).  These

     data are summarized in Table II-5.  Five of these studies  (Stocks

     and Campbell 1955, Dean  1966, Buell 1967, Hammond and Hova 1958,

     and Dean et al. 1977, 1978) showed a marked urban excess of

     lung cancers in nonsmokers, whereas two  (Hitosugi 1968, Cederlof

     et al. 1975) did not.  A general problem in interpreting these
                                   11-58

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                                                             DRAFT
                            TABLE II-5

              URBAN/RURAL DIFFERENCES IN LUNG CANCER
                  MORTALITY RATES  IN NONSMOKERS
Study, Data Years,
Age of Population
Areas of
Residence
Lung Cancer Mortality
Rates per 100,000
Nonsmokers
Stocks and Campbell  (1955)
1952-54
Ages 45-74
Dean  (1966)
1960-62
Ages  35+
Hitosugi  (1968)

Ages 35-74


Buell  (1967)

Age-standard!zed
Hammond and Horn  (1958)
1952-56
Age-standard!zed
Cederlof et al. (1975)
1963-73
Age-standardized
1. Urban Liverpool           131
2. Mixed                       0
3. Rural                      14
   Ratio 1:3                 9.3

1. Inner Belfast              36
2. Outer Belfast              40
3. Other Urban                21
4. Rural Districts            10
   Ratio 1:4                 3.6

1. High pollution            4.9
2. Intermediate pollution    3.8
3. Low pollution            11.5
   Ratio 1:3                 0.4

1. Los Angeles                28
2. San Francisco Bay area     44
3. All other counties         11
   Ratio (1+2):3             3.3

1. US cities 50,000+        14.7
2. US towns 10,000-50,000    9.3
3. US towns <10,000          4.7
4. Rural areas               0.0
   Ratio 1:4                  X

Males
1. Large cities                0
2. Other towns                10
3. Rural areas                ]L6_
   Ratio 1:3                   0

Females
1. Large cities                3
2. Other towns                10
3. Rural areas                16_
   Ratio 1:3                   0
                              11-59

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                     TABLE  II-5  (continued)
                                                Lung Cancer Mortality
Study, Data Years,           Areas of           Rates per 100,000
Age of Population            Residence          Nonsmokers


Dean et al. 1978             Males
                             1. Eston                      60
                             2. Stockton                   56
                             3. Rural areas                35
                                Ratio 1+2:3               1.7

                             Females
                             1. Eston                      15
                             2. Stockton                   19
                             3. Rural areas                20
                                Ratio 1+2:3               0.85
                              11-60

-------
                                                              DRAFT
data is the low frequency of lung cancer in nonsmokers, which
resulted in small numbers of cancer cases  (see discussion above),
and the wide variability in reported nonsmoker rates from study
to study.  Doll and Peto (1981:  Appendix E) have drawn attention
to variations in estimates of lung cancer rates in nonsmokers,
which they attributed to confusion in some studies between
ex-smokers and lifelong nonsmokers.  However, the study of
Haenszel and Taeuber  (1964) was not subject to these limitations,
because it was based on a large sample of lifelong nonsmokers.
Hence, this study (Table II-4) provides the most compelling
evidence for an urban/rural difference independent of smoking.
     In evaluating the studies of geographical patterns of
cancer rates in smokers, it is important to consider first
whether urban-rural differences in smoking patterns do indeed
exist and, if so, whether such differences have been of suffi-
cient magnitude to explain the observed excesses in urban cancer
mortality.  It is generally agreed that cigarette smoking first
became prevalent in cities (Doll 1978, Doll and Peto 1981,
Wilson et al. 1980).  There are very few quantitative data,
however, on differences in the proportions of individuals who
smoke or the number  of cigarettes smoked.  Doll (1978)  referred
to a survey done by  the Tobacco Research Council, which indicated
that in 1970 men and women residing in "conurbations" smoked
twice as many cigarettes as men in "truly" rural parts of Great.
Britain.  A 1955 national survey in the United States (Haenszel
et al.  1956)  also indicated that differences existed between
                              11-61

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DKAI-1
      urban and rural-farm residents  (see Figure II-l).  Doll and

      Peto  (1981:  footnote 37) cited without reference a survey

      conducted by Fortune magazine in 1935, which

          ...found the respective percentages of men and women
          who smoked any form of tobacco to be 61 and  31%
          in large cities, as against 44 and 9% in rural areas.
          Since many rural men smoked only pipes and/or cigars
          (which have relatively much less effect on lung
          cancer than cigarettes), the urban-rural differences
          between the percentages who smoked cigarettes between
          World Wars I and II were probably very marked among
          the young of both sexes.

           More recent data (Table II-6) indicate that the percentage

      of farm workers who are current, regular cigarette smokers

      is similar to that of white-collar workers (DHEW 1979).  However,

      a higher percentage of blue-collar workers (craftsmen, opera-

      tives, and nonfarm laborers) is classified as current regular

      cigarette smokers.  Also, men smoke more than women, although

      this difference is not as great as it was 20 years ago  (USDHEW

      1979), and many of the cigarettes advertised specifically for

      women contain less tobacco than the average cigarettes and

      are often also relatively low in tar.  Current cigarettes; contain

      substantially less tobacco per cigarette than did earlier cig-

      arettes.

           To consider whether these differences in the prevalence

      of smoking are likely to account for observed urban/rural differ-

      ences in lung cancer mortality, we can follow the approach

      of Schlesselman  (1978).  To do this calculation, we assume

      that the relative risks of lung cancer mortality among males

      were 12 for current or occasional smokers and 6  for ex-smokers.
                                    11-62

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                                                              DRAFT
                            FIGURE II-l
   PERCENTAGE  OF  PERSONS 18 YEARS OF AGE AND CURRENTLY SMOKING
 CIGARETTES  REGULARLY,  BY SEX,  WITH ADDITIONAL DETAIL ON CURRENT
 DAILY RATE, FOR  URBAN, RURAL NONFARM, AND RURAL FARM POPULATION
                         IS
                               ylor ftm*k*f«
                               30    45
                                          6O
            Rural
            «**•"
            lural nM|.,m
SOURCE:  Haenszel et al.  (1956),  Figure 13,  p. 30
                               11-63

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                            TABLE  II-6

             ESTIMATES  OF  THE  PERCENTAGE OF CURRENT,
    REGULAR CIGARETTE SMOKERS, ADULTS AGED 20 YEARS AND OVER,
     ACCORDING TO FAMILY INCOME, SELECTED OCCUPATION GROUPS,
             AND MARITAL STATUS, UNITED STATES, 1976
Category
Male
Female
1.





2.











3.





Family income
Under $5,000
$5,000 to 9,999
$10,000 to 14,999
$15,000 to 24,999
$25,000 or more
Occupation groups
White collar
Professional, technical,
and kindred workers
Managers and administrative.
non-f arm
Sales workers
Clerical and kindred workers
Blue Collar
Farm
Currently unemployed
Not in labor force
Marital status
Never married
Currently married
Widowed
Separated
Divorced

42.5
42.5
42.5
40.4
34.7

36.6
30.0

41.0

39.9
40.4
50.4
36.9
56.8
32.9

40.1
41.1
32.6
63.3
59.9

33.5
32.5
32.5
33.0
35.1

34.3
29. ,1

41. ,6

38.1
34.8
39, .0
31.3
40.0
28.2

28.3
32.4
20.4
45.1
54.8
 Craftsmen and kindred workers, operatives including
 transport, non-farm laborers

SOURCE:  USDHEW 1979, p. A-16
                           11-64

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                                                             DRAFT
 (derived from data in USDHEW 1969, Chapter 5, Table 1).  These
assumptions are likely to overestimate the relative risks because
they are similar to the values reported for male veterans (Kahn
1966), whereas Haenszel et al. (1956) found that veterans smoked
more than males in the general population in all age categories.
For women, we assumed that the relative risks for current or
occasional smokers and for ex-smokers were 4.4 and 2.2, respec-
tively.  These too are probably an overestimate.  For the pro-
portions of smokers we used the data on whites of Haenszel
et al. (1956), broken down by urban, rural nonfarm, and farm
categories (Figure II-l).  We weighted the rural categories
according to their relative proportions in the U.S. population
in 1960  (U.S. Bureau of the Census 1980, Deare 1981).
     Using Schelesselman1s (1978) Table 1, we obtained estimates
of the urban/rural ratios in lung cancer rates that would be
expected to result from 1955 differences in the prevalence of
smoking, in the absence of any other urban/rural differences
in risk factors.  These estimates are presented in Table II-l,
and are much smaller than the observed ratios tabulated in
Table II-2.  (The comparison is not precise, because the observed
ratios are for the period 1950-69, whereas the smoking data
are for 1955.)
     There is a problem with the use of the Schlesselman approach,
however.   This formula for estimating spurious (confounding)
effects is derived from the assumption that the several effects
act independently.  As discussed earlier—and in view of the
                              11-65

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                            TABLE  II-7

        ESTIMATED RELATIVE RISKS OF LUNG CANCER MORTALITY
      EXPECTED  FROM  DIFFERENCES  IN THE  PREVALENCE  OF SMOKING
           IN 1955 BETWEEN URBAN AND RURAL POPULATIONS
Observed Urban/Rural Ratio
(adjusted for age but not
for smoking)
Expected Urban/Rural Ratio
(based on differences in
smoking between urban and
rural residents)
Men       1.89 (See Table II-2)

Women     1.64 (See Table II-2)
        1.06

        1.15
multistage theory of cancer causation—this is not likely to

be true.  In the presence of interactions, the Schelesselman

formula will tend to overestimate the contribution of the con-

founder (in this case, smoking), but the precise contribution

of the confounders to an apparent association cannot be calcu-

lated.

     In addition to differences in the proportion of smokers

and in the number of cigarettes smoked, Doll and Peto  (1981)

have drawn attention to the potential importance of other char-

acteristics of smoking behavior:

    The reasons for uncertainty deserve some detailed
    discussion, for if they are overlooked a misleading
    impression of the hazards of air pollution may be
    engendered.  The key observation is that lung cancer
    risks among cigarette smokers in middle and old
    age depend very strongly on the exact age at which
    cigarette smoking began.  For example, delay of
    the onset of cigarette smoking in the late teens
    or early twenties by just a couple of years may
    reduce the risk of lung cancer at age 60 or 70 by
    as much as 20% (see text-fig. El on page 1292).
    Therefore, lung cancer risks in cities and in rural
                            11-66

-------
                                                              DRAFT
    areas depend strongly not only on what old people
    now smoke, but also on what they smoked in early
    adult life half a century or so ago.  If cigarette
    smoking by young adults was somewhat more prevalent
    (in terms of percentages of serious cigarette smokers
    or numbers of cigarettes per smoker) in cities than
    in rural areas during the first half of this century,
    this alone would engender a substantial excess of
    lung cancer today when cigarette-smoking city dwellers
    are compared with cigarette-smoking country dwellers.
    The smoking of substantial numbers of cigarettes
    was an extremely uncommon habit in all countries
    in about 1900, while by 1950 it had become common
    throughout the developed world.

    While any new habit is in the process of becoming
    adopted by society (e.g., the use of various drugs
    today), it is likely that its prevalence among young
    adults will be greater in cities than in rural areas.
    In appendix E we discuss in detail the effects of
    differences in cigarette usage in early adult life
    on the lung cancer risks many decades later among
    men who would all, in later life, describe themselves
    as "long-term regular cigarette smokers of one pack
    of cigarettes per day." Because of such effects,
    one must anticipate, even if air pollution were
    completely irrelevant to the carcinogenicity of
    cigarettes, to find that urban smokers now have
    greater lung cancer risks than do apparently similar
    rural smokers, at least in studies of populations
    who still live in the type of area (urban or rural)
    where they grew up.  This should, of course, also
    hold in countries other than the United States,
    and it is noteworthy that urban-rural differences
    in countries such as Finland and Norway where the
    cities have not been heavily polluted are of a similar
    size to the urban-rural differences in Britain and
    the United States.
                                            (pp. 1246-1247)

     Doll and Peto also drew attention to effects of the amount

of each cigarette that is smoked and the depth of inhalation

(Appendix E).  However, few data are available to test their

hypothesis that urban/rural differences in age at starting

smoking may have contributed substantially to urban/rural differ-

ences  in lung cancer mortality.
                              11-67

-------
     Haenszel et al. (1956) concluded that no important differ-
ences existed between urban and rural populations in age at
starting smoking.  The data of Haenszel et al., collected in
1955, are presented in Table II-8, and show no important dif-
ferences between urban, rural nonfarm, and rural farm residents
in the age distribution of starting smoking in any cohort of
either sex.
     In contrast to this, Weinberg et al.  (1982) surveyed smoking
habits in two areas of Allegheny County, Pennsylvania, and
found substantial differences in this and other characteristics
of smoking (Table II-9).  These data support Doll and Peto's
hypothesis that these characteristics of smoking vary in parallel
with the prevalence of smoking.  However, the two areas in
Weinberg et al. were not urban and rural, but urban and inner
suburban, and they were not an unbiased measure of geographical
differences in patterns of smoking, because they were selected
on the basis of having the highest and lowest rates of lung
cancer in the county.  Thus, data of Weinberg et al. appear
to reflect socioeconomic differences in patterns of smoking
and do not necessarily conflict with those of Haenszel et al.
Dean et al. (1977, 1978) investigated patterns of smoking in
urban and rural areas of northeastern England, obtaining data
for lung cancer cases and controls on age of starting smoking,
number of cigarettes smoked, types of cigarette, and inhaling
habits.  The results, reproduced in Appendix H, show no important
differences between urban and rural areas in any of these aspects
                              11-68

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                                                              UKAM
of smoking behavior except the number of cigarettes smoked.
Correspondingly, Dean et al. found that the urban/rural risk
ratios did not change greatly when these factors were controlled
for (independently or together).  The data of Haenszel et al.
(1956) and Dean et al. (1977, 1978) thus provide strong evidence
against Doll and Peto's suggestion that these factors signifi-
cantly distort urban/rural ratios in cancer rates.
     Nevertheless, it would be desirable to calculate the likely
contribution of urban/rural differences in age at starting to
smoke on the urban/rural differential in lung cancer mortality.
However, to do so would necessitate combining data that are
not strictly comparable.  For a rough theoretical calculation,
we use the generalization of Peto  (1977) that the incidence
of lung cancer is proportional to the 4th power of the duration
of exposure to cigarette smoke.  Then, for two groups of men
who started smoking at ages 17 and 21, and whose smoking habits
were otherwise similar, the incidences of lung cancer at age
65 would be in the ratio (65-17)4/(65-21)4, or 1.416.  This
figure is consistent with data on U.S. Veterans, summarized
by Doll and Peto (1981:  Figure El).  Incorporating this ratio
into the calculation summarized in Table II-7, we obtain an
estimate of 1.48 for the urban/rural ratio that would be expected
on the basis of the observed differences in prevalence of smoking
in 1955, combined with an assumption that the mean age of starting
to smoke was 21 in rural areas and 17 in urban areas, in the
absence of urban/rural differences in other risk factors.
                              11-71

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Although this calculation involves a number of more or less
doubtful assumptions, it suggests that the hypothesized differ-
ence in mean age at starting would have to have been much greater
than 4 years to account for the observed urban/rural differences
in cancer frequency.  Although Table II-9 indicates a difference
of about 4 years between residents of two districts in one
county, Table II-8 does not indicate a systematic difference
of even 1 year between urban and rural areas.
     The most detailed and comprehensive attempt to control
for urban/rural differences in cigarette smoking habits is
that of Dean et al.  (1977, 1978), already referred to above.
The primary objective of the study was to "determine the changes
that had occurred in mortality from lung cancer and bronchitis
since 1963 and to see how far these were related to changes...
in the smoking habits of the population and in air pollution
levels."  Dean et al. compared data on a sample of 616 males
and 150 females who had died from lung cancer in Cleveland
County, England, between 1963 and 1972, with data on 2,666 living
males and 3,039 living females aged over 35 and interviewed
in 1973.  Data on the smoking habits and other characteristics
of the lung cancer victims were obtained from relatives and
from hospital records; data on the living samples were obtained
directly by interview.  In addition to a number of characteris-
tics of smoking habits,^ data were obtained on social class,
occupation, exposure to dust or fumes, location of residence,
and a number of other variables.  Data on air pollution were
                              11-72

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                                                              DRAFT
used to classify locations of residence as areas of high, medium,

or low pollution even within the areas classified as urban.  For

analysis, data were stratified by age and various combinations

of other variables, and age-adjusted relative risks were calculated

by maximum likelihood methods.

     The major conclusions of Dean et al. were:

    ...after standardizing for age and smoking habits,
    and after adjusting for differential population
    movements in the three pollution zones, male residents
    living at addresses within Stockton classified as
    having high smoke and sulphur dioxide pollution
    had over twice the relative risk of dying of lung
    cancer as had residents at other addresses.  An
    excess mortality, based on far smaller numbers of
    deaths, was also found for females.

         Secondly, ... only a small part of the marked
    excess lung cancer mortality rates [among residents
    of urban areas] would be explained by [smoking pat-
    terns] or because they tended to be of lower social
    class.

Dean et al. attempted to standardize for amount smoked, age

at starting smoking, type of cigarettes smoked (plain or filter),

and inhalation patterns.  They noted some anomalies  in relation

to age at starting smoking, which they believed may be due

to errors in estimating the age at starting smoking by relatives

of deceased lung cancer patients who supplied the information.

However, they added:

    ...it seems unlikely that, had age of starting to
    smoke been perfectly accurately assessed in the
    decedents, it could have explained the urban/rural
    mortality difference.

The third observation was that:

    ...between 1952/62 and 1963/72, the lung cancer
    rates of men aged over 55 who were reported never
    to have smoked increased significantly.   This dif-
                            11-73

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ference, about three-fold, could not plausibly be
attributed to changes in standards of diagnosis.
Equally, it could not be explained in terms of current
exposure to pollutants as there has been a downward
trend in levels of all the pollutants studied between
these two periods.  However this difference might
be explicable, at least in part, in terms of air
pollution if lifetime exposure to pollutants is
of importance, as due to the fact that some of the
sources of pollution in the area have existed only
for 50 years or less, older people in 1963/72 may
have had a greater life-time exposure than people
of similar age in 1952/62.

...we feel that, taking the facts together in combina-
tion it seems reasonable to conclude that air pollution
makes a significant contribution towards lung cancer
mortality.  This conclusion is consistent with the
results from Dean's study which showed that, after
standardising for age and smoking habits, male inhabi-
tants of Inner Belfast had 3.3 times the lung cancer
mortality, and 4.4 times the chronic bronchitis
mortality of inhabitants of truly rural areas of
Northern Ireland  (Wicken 1966) .

...smokers of filter cigarettes have a markedly
lower relative risk of lung cancer and chronic bron-
chitis mortality than smokers of plain cigarettes.
In view of the national switch towards smoking filter
cigarettes, and in view of the reductions in air
pollution that have followed the Cle'an Air Act of
1956, it was to be expected that, in due course,
overall mortality from both these causes would de-
crease if trends  in lung cancer mortality rates
are studied separately by age-group, the improvements
expected from the switch to filters and reduced
air pollution can be seen.  In 35-39 year old males,
for example, national lung cancer rates have dropped
38% between 1956-60 and 1971-75, and increases can
now only be seen  in men over 70.  Male bronchitis
rates show an even more marked improvement, with
a 30% reduction in overall death rate between 1968
and 1975 and rates declining at all ages except
in men 70 or over where they have levelled off  (Todd
et al. 1976).  Lee  (1977) has calculated, using
Peto's formula...  that even in the age groups at
which mortality rates are still rising, the rises
are markedly less than would have been expected
based only on knowledge of distribution of duration
of smoking habits, and ignoring the switch to filters
and the reduction in air pollution levels.  Of course,
if standards of diagnosis of lung cancer are still
                        11-74

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                                                              DRAFT
    improving ...then the benefits of the switch to
    filters and the reduction in air pollution are even
    greater than the data suggest.

     The major conclusions of the study by Dean et al. (1978)

are summarized in Table 11-10.  After standardizing for age,

smoking classification, and age at starting to smoke, urban/rural

ratios in lung cancer mortality were 1.50-2.02 for males and

1.46-1.77 for females.  Other analyses in the paper by Dean

et al. (1978) show that these urban/rural ratios were not strongly

affected by differences in the type of cigarette smoked (filter

or nonfilter) or by the depth of inhalation, and were not strongly

affected by differences in social class.  Moreover, there were

significant correlations of lung cancer frequency with measured

air pollution levels within the urban area.

     This study is of particular importance because it controlled

simultaneously for so many aspects of cigarette smoking behavior.

It has two major limitations.  First, although data were col-

lected on occupation and on occupational exposure to dusts

and fumes, these factors were not controlled for in the analysis.

Standardization for social class probably controlled indirectly

for some of the effects of occupational exposure, at least

within the urban areas, but a rigorous analysis would be needed

to establish this.  Second, the data on smoking habits and

other characteristics of decedents were collected primarily

from surviving relatives, and hence are subject to bias in

relation to those collected directly from the living controls.

The authors discussed this source of bias and presented evidence
                              11-75

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DRAFT
                                  TABLE 11-10

                 RELATIVE RISK OF MORTALITY  FROM LUNG CANCER,
                 STANDARDIZED FOR AGE,  SMOKING CLASSIFICATION,
                    AND AGE  AT STARTING TO SMOKE,  1963-1972
       Area                        Males               Females


       Eston                       2.02                  1.77

       Stockton                    1.50                  1.46

       Rural districts             1.00                  1.00


       SOURCE:   Dean et al.  (1978)


       that it  was not great.   In addition,  the bias is likely to

       have existed in both  urban and rural  areas,  so that the urban/

       rural ratios may not  have been seriously affected.

            One study of two geographic areas in Allegheny County,

       Pennsylvania, which were selected for study  on the  basis of

       substantially different lung cancer incidence rates in white

       males, found that the high risk area  had more men who smoked

       and that these men started smoking at an earlier age (Weinberg

       et al. 1982; see Table II-8).   The authors calculated that

       the combination of these factors accounted for almost of all

       of the difference observed between the two areas.  Their com-

       putations led to the  conclusions that 90% of male lung cancers

       in the "high" area were to be  attributed to  cigarette smoking.

       However, they used an unusually high  figure  for the risks of

       heavy smokers, which  may have  inflated this  estimate, and they

       did not  take interactions into account.   Moreover,  several
                                     11-76

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                                                              DRAFT
other factors, such as the proportion of industrial workers,
and at least one pollution measure—particulate dustfall—showed
equally large differences in the same direction as did the
cigarette smoking.  No correlation was shown with SO  measures.
                                                    X
No comparisons of smoking habits and lung cancer rates were
made in women.  The smoking data were gathered in a sample
survey and did not specifically apply to the men reported to
have developed lung cancer in the two areas.  As pointed out
earlier, the study areas were selected specifically on the
basis of an observed large difference in lung cancer rates,
so the results cannot be generalized to make inferences about
the contribution of smoking to urban/rural or other regional
differences in lung cancer rates.
     A related study was conducted in Denmark by Broch-Johnsen
(1982)  in which the author came to the conclusion that "the
risk of lung cancer [in Copenhagen]  is by 10-40% and 50-140%
higher than would be anticipated on account of smoking habits
in the youngest (1914-23) and oldest (1894-1903)  generations,
respectively."  While finding that smoking did not account
for the urban-rural differences, the author came to the conclu-
sion that "occupational factors are believed to have a greater
contribution to the urban factor than diffuse environmental
factors... after elimination of smoking".  This study is avail-
able in English only in abstract form, and a critical review
is not possible at this time.
                              11-77

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DRAFT
            Doll  and  Peto  (1981:   footnote  39) briefly  reported  unpub-
       lished  data  from  their earlier  study of mortality  in male British
       doctors (Doll  and Peto 1976).   Their results  are summarized
       in  Table 11-11 and  show  a much  smaller urban/rural  ratio  than
       other studies  that  have  controlled for smoking habits.  However,
       as  Doll and  Peto  pointed out, all the doctors had  been  educated
       in  big  cities  and may have  lived as  children  in  areas different
       from  those they inhabited in  1951.   The method of  standardization
       for smoking  was not stated.

                                  TABLE 11-11
                LUNG CANCER MORTALITY IN MALE BRITISH DOCTORS,
                      STANDARDIZED  FOR SMOKING AND  AGE,
                      STRATIFIED BY  LOCATION OF RESIDENCE
Location of
Residence in 1951
Conurbations
Large towns
(50,000-100,000)
Small towns (<50,000)
Rural areas
Expected
Deaths*
153.65
88.04
109.46
78.85
Observed
Deaths*
152
94
108
76
Ratio
0/E
0.99
1.07
0.99
0.96
       *Period  of  observation  unspecified
       SOURCE:   Doll  and  Peto  1981:   footnote  39
            In  each study in which  the  confounding  effects  of  smoking
       were  controlled, except for  that of  Doll  and Peto (1981),  urban
       residents were found to be  at  increased risk of  cancer  even
                                     11-78

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                                                             DRAFT
when differences in smoking habits were taken into account.

Summarizing these findings and pointing out the interaction

effects, Wilson et al. (1980) stated that most of the data

    ...agree that there may be a small increase in lung
    cancer among [urban]  nonsmokers due to air pollution;
    this is at most half the total incidence among non-
    smokers which is already small.  The increase of
    lung cancer among [urban] smokers due to air pollution
    is 4 times greater than the increase among nonsmokers
    and is statistically significant.

However, Wilson et al. (1980) did not present a statistical

analysis to support the last statement.

     The last point made by Wilson et al. (1980), about the

greater association with air pollution in smokers, is of par-

ticular importance.  The results of Haenszel et al.  (1962),

Dean (1966), Dean et al.  (1978)  and Cederlof et al.  (1975)

indicate that cigarette smoking and air pollution probably

interact synergistically.  A possible mechanism for this apparent

synergism was demonstrated by Cohen et al. (1979), who found

that smoking inhibits the action of cilia in long-term dust

clearance from the lungs.

     Interactions between smoking and air pollution would account

for some of the differences between men and women in patterns

of lung cancer.  If interactions of this nature did occur,

then we should expect that larger urban/rural differences would

be seen for males,  who smoke more than women and who generally

started smoking earlier.   This has been observed in several

studies (see Tables II-2, II-3,  II-4, II-5,  and 11-10).  Similarly,
                              11-79

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DRAFT
        if such interactions did occur, urban/rural differences for
        female smokers should be larger than those for female nonsmokers.
             The increase in the urban/rural difference among women
        smokers (relative to nonsmokers)  expected on the basis of an
        assumption of interaction, however, has not been consistently
        observed.   Haenszel and Taeuber (1964)  reasoned that this may
        be due to  the relatively small proportion of female smokers
        before the 1950's (this leads to large  sampling variation in
        estimated  risks and slopes of the smoking class gradient).
        They also  noted that the problem of small numbers of women
        smokers is compounded by the smaller "effective" exposures
        among women smokers relative to their male counterparts  (i.e.,
        women don't inhale as deeply as men and tend to smoke low-tar
        cigarettes and cigarettes with with less tobacco).   The other
        studies in which women's smoking habits were recorded (Dean
        1966, Dean et al. 1978, Hitosugi 1968,  and Cederlof et al. 1975)
        suffer from similar problems.  Of these studies, only the results
        of Cederlof et al. (1975) are consistent with an interaction
        effect among women.
             b. Occupational exposure
             Several investigators have also postulated that much of
        the urban  excess of lung cancer can be  accounted for by exposure
        to carcinogens in the work place.  In some situations, studies
        have provided support for this hypothesis.  For example, an
        excess of  lung cancer deaths was observed among white males
        in south central Los Angeles County during the years 1968-1972
                                      11-80

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                                                              DRAFT
 (Menck et al. 1974).  Lack of a clear basis for smoking or
occupational factors to explain the excess led the authors
to conclude that ambient air pollution was the causative factor.
A later case-control study was undertaken  (Pike et al. 1979)
and it was concluded that increased risks associated with occupa-
tion could account completely for the observed excess.
     However, Pike et al. (1979) in fact found associations
between lung cancer and both smoking and occupational categories;
on the basis of these associations, they calculated that the
differences in smoking habits and occupations between the areas
of Los Angeles County originally studied by Menck et al. (1974)
would account for a relative risk of 1.26.  This is smaller
than the relative risk of 1.40 originally observed by Menck
et al. (1974).  Hence, there is still a portion of this differ-
ence that is unexplained by smoking and occupation.  The sen-
sitivity of both studies was limited by the observation of
Pike et al. (1979) that most of the cases had migrated into
the area during the preceding 20-40 years.
     The data of Hammond and Garfinkel (1980)  also suggested
that occupational exposure may account for part of the urban
excess.  The excess of lung cancer deaths in urban and rural
areas in their study was reduced when occupational exposure
 (defined in the study questionnaire as exposure to dust, fumes,
gases, or X-rays)  was taken into account.  This reduction was
evident in almost every residence category.  This definition
of occupational exposure is not precise,  of course.  The study
                              11-81

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DRAFT
       population was composed  of  a larger  proportion of whites,  white-



       collar  workers,  and better  educated  individuals than the U.S.



       population as  a  whole, which could  lead  to an underestimate of



       the effects of both air  pollution and occupational exposure.



       When lung cancer mortality  versus location of residence is



       plotted separately for occupationally exposed and nonoccupation-



       ally exposed men, separate  effects  of both occupation and  residence



       are apparent (see Figure II-2).   Hammond and Garfinkel reported



       that these data  were corrected  for  cigarette smoking.



            Doll and  Peto (1981) provided  a quantitative interpretation



       of these data, noting that  after  standardizing for smoking,



       the mortality  from lung  cancer  was  only  14% greater in men



       who gave a history of exposure  to dust,  fumes or mists (including



       asbestos) than in men who did not.   Since only 38% of lung



       cancer  deaths  occurred  in men who gave a positive history  of



       occupational exposures,  Doll and  Peto calculated that the  total



       contribution of  these factors to  the production of lung cancer



       in the  ACS population appears to  have been 4.6%.  However,



       Doll and Peto  pointed out three ways in  which an estimate  of



       this kind could  be too low:  the  diluting effect of random



       errors, the possibility  that the  ACS population was biased



       by the  inclusion of proportionately few  blue-collar workers,



       and the possibility that undiscovered carcinogenic risks may



       occur in industries in which there are no recognized dust,



       mists,  or fumes.  Doll and  Peto proposed (on the basis of  admit-



       tedly subjective and "stop-gap" methods  of estimation) that
                                     11-82

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                                                                      DRAFT
                                FIGURE II-2

            RATIO OF OBSERVED/EXPECTED  LUNG CANCER DEATHS IN
        MEN BY RESIDENCE AND OCCUPATIONAL EXPOSURE,  1959-19653
   Ratio of
Observed/Expected
    Deaths

         1.4 	1
          1.3 —
          1.2 —
          1.1
          1.0
          0.9 —
          0.8 —
Occupationally
  Exposed
                          Rural
                          Areas
                                           Not Occupationally
                                               Exposed
        Smaller Non-
        Rural Places
Large City
   Areas
(1,000,000 +)
   aAdjusted for  age and  smoKing

   SOURCE:  Hammond and GarfinKel  (1980),  Goldsmith (1980)
                                   11-83

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the fraction of lung cancer deaths ascribable to occupational
hazards in the U.S. in 1978 was about 15% in males and 5% in
females.  At least in males, this fraction included some cases
also ascribed to cigarette smoking.  However, Doll and Peto
did not discuss possible interactions with air pollution, and
did not discuss or estimate the contribution of occupational
factors to the urban/rural ratio, except to quote the opinion
of Hammond and Garfinkel (p. 1247).
     The difficulty in separating occupational and air pollution
factors was also recognized by Greenberg (1979).  He attempted
to determine the relative importance of different risk factors
for male lung cancer.  He found that by adjusting air pollu-
tion indices to take into account wind direction and distance
from the air monitoring site, the relative contributions of air
pollution compared to occupation increased.  He later concluded,
however, that the high degree of intercorrelation between high-
risk lung cancer indicators  (smoking, air pollution, occupation,
etc.)  makes it infeasible to pull apart the separate contribu-
tions made by personal, occupational, and local environmental
risk factors.  Greenberg considered it likely that there are
interactions between air pollution, occupation, and smoking.
     In a case-control study of white male lung cancer patients
from Erie County, New York, from 1957 to 1965, Vena  (1982)
was able to study the effects of age, smoking, occupation,
and air pollution and their combinations.  Air pollution was
stratified into pollution zones by means of air sampling data
                              11-84

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                                                             DRAFT
for particulates collected from 1961 to 1963 and by an historical
review of point sources.  Exposure to air pollution was indexed
by the number of years of residence in a zone of high or medium
air pollution.  Occupational exposure was defined as the number
of years in a job category with potential exposure to respiratory
carcinogens or with documented elevations in risk for lung
cancer.  Smoking was defined in terms of years smoked, weighted
by four categories for amount smoked (less than 0.5 pack/day;
0.5-1 pack per day; 1-2 packs/day; and 2 or more packs per
day).  Data on age at starting, type of cigarettes and degree
of inhalation were not available.  Although misclassification
may have occurred and smoking may still be a confounding factor,
this study by Vena (1982) is among the most detailed available,
especially in that the simultaneous influences of smoking,
occupation, and smoking were assessed.
     When exposure to air pollution was defined as exposure
to high or medium pollution for 50 or more years, occupation
as exposure in high risk jobs for 20 or more years, and smoking
as exposure for 40 or more pack years, it was evident that
occupation and probably air pollution interact with cigarette
smoking to modify its effect.  Significant (p<0.05) age-adjusted
relative risks were observed for smoking (RR=3.30)  air pollution
and smoking (RR=4.73), occupation and smoking (RR=6.37), and
all three combined (RR=5.71).  When the data were stratified
by age to separate those born after the turn of the century
from those born before, the under 60 years of age category
                              11-85

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WFT
       showed significant  associations between cancer risk and each
       of  the three  individual  variables (smoking,  occupation and
       air pollution)  and  each  of  the  combinations  between variables.
       The over  60 years of  age category paralleled the associations
       observed  for  the overall, age-adjusted relative risks.
            When Vena  (1982)  adjusted  the relative  risks for age,
       occupation, and smoking, he observed a small (cind nonsignificant)
       unexplained lung cancer  risk for the medium  or high air pollution
       areas (compared to  the low  pollution areas)  of 1.03 for residence
       of  30 to  49 years and 1.26  for  residence of  more than 50 years.
       Vena (1982) cautiously interpreted this study as indicating
       that air  pollution  should not be dismissed as a. risk factor
       in  lung cancer  because of the apparent synergism of air pollution
       with smoking  and with the combination of smoking and occupation.
       He  concluded,  however, that his findings do  not support the
       hypothesis that air pollution alone significantly increases
       the risk  for  lung cancer.
            Other investigators have reported their belief that occupa-
       tion is not a  major factor  contributing to the urban excess.
       Doll (1978) stated  that  occupational hazards were "...unlikely
       to  be a major  factor  as  the known and suspected hazards...affect
       only a small  proportion  of  the  total urban population."  As
       mentioned earlier,  Blot  et  al.  (1977) made much the same point,
       noting that,  if the higher  cancer rates in petroleum counties
       were the  result of  occupational exposure, the relative risk
                                     11-86

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                                                            DRAFT
to these workers would have to be substantially higher than
the general population, but this has not generally been observed.
     c.  Migration
     Concerns have been raised that migration can have the
effect of increasing the apparent geographic variability because:
(1) it may produce areas in which the age distribution of the
population differs considerably from the U.S. average, and
(2) persons who migrate are likely to have a different health
status from that of those who remain behind.
     Mancuso  (1976) reported that much of the differences in
lung cancer mortality rates that he found in Ohio came about
as a result of the very high rates observed in migrants to
Ohio from the rural areas of the southeast United States.
Blot and Fraumeni  (1981) have recently reported that the lung
cancer mortality rates in the southeast now exceed those of
the northeast and Great Lakes states.  Mancuso interpreted
his findings to imply that a prior initiating exposure was
more likely to have occurred to the migrants (in contrast to
sedents)  and that later, promoting exposure then had a greater
effect on migrants than on life-long residents.
     The first problem can be avoided when enough data are
available to calculate age-specific and age-adjusted mortality
rates.  In the studies based on the mortality data for U.S. counties
compiled by the National Cancer Institute (e.g., Blot and Fraumeni
1976), appropriate standardization has already been performed.
                              11-87

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r-T
f" I
      The second problem,  the possibility of selective migration


 into or  out of an area,  might be corrected for if detailed


 statistics were available on duration of residence.  By studying


 only those individuals who have remained in an area for 20-30 years


 a more accurate assessment of environmental effects could be


 obtained.   In most studies of urban/rural differences, such


 data are generally not available.   It is possible that a small



 percentage of the urban/rural difference might be due to the


 migration of chronically ill persons to areas (generally urban)


 with better medical facilities, or migration of healthy individ-


 uals out of these urban  areas.  Migration between geographic


 areas, however, generally is expected to reduce the sensitivity


 of geographical studies  as the distinction between exposed


 and unexposed is gradually lost.  As such, the statistical


 power of such studies might be grossly overestimated if migration


 were not taken into account.  The  longer the latency period


 of disease, the larger this dampening effect of migration is


 likely to be.


      As  noted earlier, Polissar (1980)  has estimated that 40-50%


 of the relative excess risk is not reflected in the estimated


 risk for most cancers when rates are compared between exposed


 and unexposed counties and migration has taken place during



 a 30-year  latency period.  This finding is consistent with


 the results reported by, Haenszel et al. (1962), who found that


 the urban/rural gradient  for the standardized lung cancer mor-


 tality ratios (adjusted  for age and smoking) increased with
                               11-88

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                                                             DRAFT
the duration of residence.  The role of urban air pollution
in explaining this trend, however, is unclear because the SMR
for urban residents declined with duration of residence, possibly
reflecting improved survival patterns of the less exposed persons,
or the initiation—promotion phenomenon suggested by Mancuso.
     d.  Population density and other factors
     Demopoulos and Gutman  (1980) labeled a series of cities
as "clean" and "dirty," based on a qualitative characterization
of the nature of the local  industries but not on direct measures
of the nature or intensity of ambient air pollution.  They
concluded that when areas with comparable population densities
were compared, general air pollution (i.e., in "dirty" cities)
and workplace exposure (in regions of heavy industry) were
not associated with cancer risks.  This conclusion led them
to the speculation that much of the urban excess might be due
to higher population density.  However, their designations
of "clean" and "dirty" cities were not related to any measured
distinctions between areas of low and high air pollution.
Their presumption that heavy industries should be more likely
to be associated with cancer risks than light industries may
not be true.  Major carcinogenic hazards have been recognized
in a number of light and service industries.  Thus their char-
acterization of "clean" and "dirty" cities is unsatisfactory
even as a surrogate measure of either air pollution or of occupa-
tional exposure.  Among other problems with this study, no
                              11-89

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DRAFT
      attempt was made to standardize for smoking  or other risk factors,
      and the basis for selecting  the sample of  cities was unclear.
           Population density is strongly correlated with a number
      of other factors and may represent a proxy measure of air pollu-
      tion and a variety of other  variables.  In studying the relation-
      ships between population density,  vehicle  density (as an indi-
      cator of motor vehicle emissions), and total cancer mortality,
      Robertson (1980) concluded that vehicle density rather than
      some other correlate of population density is associated most
      strongly with cancer mortality. Vehicle density, of course,
      implies air pollution from burning fossil  fuels in mobile sources.
      Robertson found that the number of motor vehicles per square
      mile does not increase linearly with population density, but
      levels off in the more densely populated cities where puiDlic
      transportation is often more readily available.  He reported
      that cancer rates do not increase  linearly with city size but
      do appear to be linearly correlated with motor vehicle density.
      Robertson (1980) concluded that "motor vehicles appear to be
      a substantial part of the 'urban factor' in  cancer."  However,
      he failed to control for potential differences in several other
      important factors (such as smoking, occupation, and migration).
      Currently available data are insufficient  to estimate the rel-
      ative contributions of mobile sources and  stationary sources
      of air pollution.  It is likely that in some areas the largest
      source of conventional air pollutants is the automobile  (e.g.,
      Los Angeles) while in others, industrial sources are more
                                    11-90

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                                                              DRAM
portant  (e.g., Charleston, West Virginia).  In their recent
review, Wilson et al. (1980) came to much the same conclusion.
However, the relative contribution of mobile and stationary
sources to atmospheric concentrations of carcinogenic air pol-
lutants is not known.
     In studies where attempts have been made to control for
population density and other confounding factors, the correlation
between such variables as air pollution and population density
may seriously distort the estimated effects of air pollution.
There is some evidence that the onset of population-wide cigar-
ette smoking paralleled industrialization.  If that were the
case, regression analyses that attempt to estimate effects
of air pollution may be distorted by controlling for factors
that are correlated with air pollution.  Air pollution has
also been found to be inversely related to socioeconomic status
(SES) (Bozzo et al. 1979, Lave and Seskin 1977).  Since low
SES groups (who are usually heavier smokers) are exposed to
higher pollution levels than high SES groups, the true effects
of air pollution are likely to be underestimated by controlling
for effects of SES and/or smoking.

F.  Summary
     This chapter summarizes epidemiological studies of cancers
in the human population and their relation to air pollution
and other factors.  Section II.B introduces the four principal
types of epidemiological study and discusses issues that arise
in applying them to the cancer/air pollution problem.  Although
                              11-91

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there is evidence that air pollutants may affect cancers at
a number of anatomic sites, only lung cancers have been studied
in sufficient detail for critical analysis.  Air pollution
is a complex mixture of agents, and most available measurements
are of conventional pollutants which are unlikely to be carcino-
genic in themselves; furthermore, the use of a single component,
such as benzo[a]pyrene, as a surrogate measure of the carcinogenic
potential of polluted air may not be entirely satisfactory.
Significant exposure to some air pollutants occurs in indoor
environments, where monitoring data are scanty.  The long latent
periods for human cancers mean that current cancers should be
associated with exposures in past decades, when some pollutants
were present at higher levels and others at lower levels.
The most pervasive difficulty encountered in the conduct and
interpretation of epidemiological studies is the control of
confounding factors, especially cigarette smoking.  Other prob-
lems that arise include the interpretation of sex and racial
differences in patterns of cancer mortality, the insensitivity
of many studies, and the selection of appropriate comparison
populations.
     Section II.C summarizes source-specific or "neighborhood"
studies.  A number of studies have reported apparent elevations
in cancer rates in the vicinity of industrial facilities of
various types.  Some of these studies were of the large-scale
"ecologic" type, whose results are usually regarded as no more
than suggestive.  Most other studies in this category had sub-
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                                                              DRAFT
stantial limitations, including problems in identifying appro-
priate control populations, in controlling for smoking, occu-
pation, and demographic factors, and in verifying exposure.
The more persuasive evidence of this kind is the finding of
rare types of cancer characteristic of exposure to vinyl chloride
and asbestos near putative sources of these materials, and
the statistical association in several studies between lung
cancer rates and proximity to smelters and other facilities
handling arsenic compounds.
     Section II.D summarizes several studies that suggest.that
migrants from one country to another with higher (or lower)
air pollution levels continue to experience cancer rates charac-
teristic of their native countries.  However, the rigor of
the statistical comparisons of cancer rates is questionable,
and the differences were not related to specific data on exposure
to air pollution.
     Section II.E summarizes urban-rural and other geographical
studies.  Table II-l (Appendix A)  tabulates 44 epidemiological
studies of cancers of the lung and other sites in human popu-
lations.  In 25 of these studies,  a statistical association
was reported between cancer rates  and one or more (direct or
indirect)  measures of air pollution, and most of the rest reported
excess frequencies of cancer in urban areas relative to rural
areas.  Only five studies reported finding no association between
cancer rates and either  urban location or measures of air pol-
                              11-93

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lution.  However, all the studies were subject to various lim-



itations, which complicate their interpretation..



     The most pervasive and difficult problem in these studies



is control for the confounding effects of cigarette smoking.



Ten studies of lung cancer rates in nonsmokers have shown rather



consistent urban-rural differentials in males, but not in females.



However, all but one of these studies were limited by small



sample size, and none was controlled for occupational exposures.



In a number of studies, urban/rural differentials and statistical



associations between cancer rates and air pollution remained



significant after attempts were made to control for the effects



of smoking, using data on smoking habits in cancer victims



or population groups.  However, the completeness of the control



for smoking in these studies is disputed.  Some scientists



have argued that differences in aspects of smoking such as



age at starting to smoke and depth of inhalation cannot be



controlled for.  However, actual data on these aspects of smoking



do not confirm that they would contribute significantly to



urban/rural differentials.



     Only a few studies have been controlled for the effects



of occupational exposures.  One study that was so controlled



revealed significant urban/rural differentials in both occupation-



ally exposed and unexposed groups, after controlling for smoking.



Other studies have suggested interactions between effects of



occupation and air pollution.
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                                                             UKAH
         III.  EXPERIMENTAL EVIDENCE AND MONITORING DATA







A.  Introduction



     This chapter reviews and summarizes the evidence that



air contains substances capable of causing or contributing



to the incidence of cancer in humans.  Monitoring studies have



shown that air contains substances known on the basis of human



and animal studies to cause cancer.  In addition, extracts



of air pollution particulates have been shown to be both muta-



genic and carcinogenic in laboratory studies.



     Air pollutants arise from both anthropogenic and natural



sources, such as vegetation, weathering, and fires.  Air pollu-



tants of anthropogenic origin can be placed in three broad



categories:  vapor-phase organic chemicals, such as volatile



emissions from industrial processes; particulate organic matter,



which includes products of fossil fuel combustion and vehicle



emissions; and inorganic substances, such as compounds of the



metals lead, nickel, and arsenic, and the mineral asbestos.



The amount of vapor-phase organics emitted in the United States



has been estimated to be 1.9 x 10   g/yr, with particulate



organics being one-fiftieth to one-tenth of this amount (Hughes



et al. 1980, citing Duce 1978).  Estimates of the amount of



anthropogenic inorganic pollutants are difficult to make, because



of the wide variety of possible sources and the large contribu-



tion of natural sources to the levels found in ambient air.



Of the three categories of pollutants, however, the particulate
                              III-l

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OftAtf
     fraction of air pollution has been subjected to the most investi-
     gation and is of most concern for long-term human health effects.
     This concern stems from the known biological activity of many
     of the constituents of particulate matter, such as the polycylic
     aromatic hydrocarbons (PAHs), and because particulate matter
     occurs at high local concentrations around sources in populated
     areas.
          A sample of polluted air is a complex and dynamic mixture
     that can contain over 300 compounds.  It can consist of chemicals
     in the vapor or gaseous phase, relatively pure aerosols or
     particulates of specific substances, or heterogenous particular
     aggregates of many substances.  The relative distribution of
     chemicals between the vapor and particulate phases is highly
     dependent upon their source,  their vapor pressure and polarity,
     and the ambient air temperature.  Although particulate matter
     may be thought of as a collection of solid or liquid particles,
     vapor-phase organics may be adsorbed under a range of conditions
     into the particulate content  of polluted air, changing their
     chemical composition (Hughes  et al. 1980).  In addition, air
     pollutants, especially reactive species such as NOX and ozone,
     itself derived from precursor pollutants, can undergo photo-
     chemical or spontaneous reactions to produce new compounds that
     may have more or less biological activity than their precursors.
     All these factors complicate  the identification of the components
     of polluted air and their relation to the biological activity
     that is measured by in vivo or in vitro studies.
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                                                            DRAFT
     An additional consideration in reviewing the experimental



evidence associating air pollution and cancer is the difficulty



in determining the substances and the levels to which people are



actually exposed.  This difficulty stems, first, from problems



in sampling air for pollutants, and second, from the complicated



and largely uninvestigated processes through which inhaled



materials affect humans.  One of the problems in sampling is



that, although some monitoring stations can sample air contin-



uously over long periods of time, most samples are limited



in the period of time over which they are obtained and therefore



may not represent all the pollutants in an area that result



from changing weather conditions and pollution sources.  Also,



sampling is usually performed at roof level or close to a known



source of emissions; neither accurately reflects the air quality



at street level that most people experience.  Although advances



have been made in the design of personal sampling devices to



provide more accurate samples of the air that people breathe,



most of the studies of the biological activity of air pollution



and its chemical characterization have used samples that were



limited in both time and location and therefore may not be



representative of the actual toxicity and content of ambient



air.  In addition, determination of the effect of airborne



substances on human health must consider the physiological



processes that take place between the inhalation of a substance



and the ultimate site of its toxic effect.  The effect of an



inhaled carcinogen depends on its distribution in the lungs,
                              III-3

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its retention and absorption, possible metabolism by lung tissue,



its distribution via the circulation, and the concurrent presence



of irritating substances.  Some studies have investigated these



factors and are discussed below.





B.  Experimental Evidence



     Experimental evidence for the presence of carcinogens



in ambient air has been provided by both in vivo and in vitro



testing of extracts of airborne material.  This testing, however,



has been limited to particulate material.  Because of the volati-



lity, relatively low concentrations, and rapid degradation



of vapor-phase organic substances, no methods are currently



available for collecting of these chemicals from ambient air



and testing them in vivo or in vitro.  The carcinogenicity



of these substances can be assessed by testing them in pure



form at high concentrations, and this type of evidence is dis-



cussed in the section on monitoring data.  The basic approach



to determining the biological activity of airborne particulate



matter is to collect on filters the particulates that are sus-



pended in the air or released from an emission source, extract



this material with organic solvents, and apply the extract



to the test system.



     The composition of these extracts depends on the chemical



and physical nature of the original particulates—specifically,



whether they were homogeneous, aggregates, or contained adsorbed



organic chemicals—and on the ability of the fractionation and



extraction system to solubilize the chemicals that are present.
                              III-4

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                                                           DRAFT
Because of this approach and the dilute nature of air pollution,



the quantity of material available for testing is usually limited.



Researchers have worked around this problem by either making



extracts of more readily available material, such as soot and



tar that condense from combustion emissions, or by using a



small number of animals in assay systems that are sensitive



to carcinogens.  These systems include the painting of test



material on the skin of mice, injection into neonatal mice,



and instillation into the lungs of hamsters and rats.  Alterna-



tively, researchers have tested extracts in cell cultures that



are capable of detecting chemicals that cause mutations or



cell transformation although they do not directly measure car-



cinogenic activity.  Both phenonomena are considered predictors



of carcinogenic potential.





1.  In Vivo Tests of Extracts of Air Pollution for Carcinogenicity



     As mentioned above, the dilute nature of air pollution



limits the amount of material available for in vivo testing.



In the earliest studies, investigators prepared extracts of



soot, coal tar (a condensate resulting from the combustion



of coal under low oxygen conditions), and particulate matter



and applied them repeatedly to the skin of mice.  In a review



of these studies, Shabad (1960)  cited several investigations



in which skin tumors and adenomas of the lung were induced



by extracts of coal tar.  Also,  when dichloroethane extracts



of soot were painted on mice three times weekly, papillomas



(benign skin tumors) appeared after 10 weeks, metastasizing
                              III-5

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'RAFT
   in 37% of the animals to sites in the lungs and lymph nodes
   (Shabad 1960).  Shabad also reported that extracts made from
   airborne participates induced malignant tumors in 8% of the
   test animals when the same protocol was used.
        In another dermal application study, Hoffman (1964) applied
   to the skin of female mice an acetone solution that contained
   12.5% organic matter from an extract of polluted air that was
   measured as having 20 yg of organic material per m .  After
   9 months, 23 of the 30 mice had developed multiple papillomas,
   and 10 had carcinomas; after 3 more months of treatment, a
   total of 19 of the mice had malignant tumors.  Animals in a
   group that were being concurrently treated with a solution
   of a mixture of PAHs at a concentration equal to that of the
   air extract had 4 tumors, half of which were malignant.  Another
   group painted with an equivalent amount of BaP did not develop
   any tumors.
        Gasoline engine condensate (GEC) and diesel exhaust conden-
   sate  (DEC) were examined for carcinogenicity in a skin-painting
   study with female CFLP-mice (Misfeld 1980).  In addition to these
   materials, BaP and a mixture of 15 PAHs at the same proportions
   as found in GEC were tested.  Each material was tested at three
   concentrations in 80 mice per concentration.  GEC, DEC, BaP,
   and the PAH mixtures all gave positive responses with positive
   dose-response relationships.  The largest response given by
   GEC was 83% in the high concentration group.  DEC gave a high
   response of 13%.  It was calculated that GEC was 42 times as
                                 III-6

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                                                            DRAFT
potent as DEC, and the PAH mixture only accounted for 41% of
the GEC activity.  Calculations indicated that BaP contributed
9.6% and 16.7% of the activity found in GEC and DEC, respectively.
     Most recently, Nesnow et al. (1982) investigated the tumor-
initiating and tumor-promoting abilities of extracts of emissions
from automobiles with gasoline and diesel engines, from a coke
oven, from roofing tar, and from a residential furnace that
burned diesel fuel.  The animals used were Sencar mice, which
have been bred for their sensitivity to dermally applied carcino-
gens and are widely used in studies of the mechanism of carcino-
genesis.  The collected emissions were extracted with dichloro-
methane, which was removed by evaporation, and the resulting
material was applied as a solution in acetone in one or more
of four protocols in doses ranging from 100 to 10,000 yg/mouse.
Under the tumor initiation protocol, each dose was applied
once topically, followed after 1 week by twice weekly applica-
tions of the tumor promoter, tetradecanoylphorbol-13-acetate
(TPA).  To determine the ability of the extracts to act as
complete carcinogens, samples were administered weekly for
50 weeks.  Under the tumor promotion protocol, the mice were
treated with one dose of BaP and then weekly for 34 weeks with
the sample.  To test for cocarcinogenic activity, both the
test material and BaP were applied initially, followed by TPA
twice weekly.
     These studies indicated that BaP and extracts from emissions
of coke ovens, roofing tar, and one type of diesel-powered
                              III-7

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automobile were potent initiating agents.  The emissions from
the other diesel automobiles and the gasoline engine automobile
showed some initiating activity.  BaP, coke oven emissions,
and roofing tar emissions were also shown to be complete car-
cinogens.  None of the diesel emissions from the automobiles
or furnace gave positive results in the complete carcinogenesis
assay; the authors hypothesized that this result may have been
due to the cytotoxic effect of these extracts when applied
chronically.  BaP and coke oven and roofing tar emissions also
showed tumor-promoting ability; none of the diesel extracts
was tested in this protocol.  Because of the positive results
for BaP in all the protocols, the authors considered that the
activity of the emissions extracts may have been due to their
BaP content.  However, analysis of the samples for BaP and
comparison of these values to tumor-initiating ability indicated
that the BaP content did not account for all the activity of
the extracts.
     Depass et al. (1982) have also recently reported results
of their skin-painting study.  In this study, the initiating,
promoting, and complete carcinogenic activity of diesel exhaust
particulate  (DP) and dichloromethane extracts of diesel exhaust
particulates  (DCM) were examined using C3H strain mice.  The
study was to end with the death of all mice, but the reported
interim results covered 714 days of treatment with mice still
living in most groups.  The mice were treated with two concen-
trations of DP and four concentrations of DCM for the complete
                              III-8

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                                                             DRAFT
carcinogenesis study, one concentration of DP and two concen-
trations of DCM for the promotion study, and one concentration
of each for the initiation study.  Along with the specific
control groups, there was a total of 18 different groups consist-
ing of 40 mice each.
     In the study on complete carcinogenesis of DP and DCM,
only one tumor was found in a treated mouse.  This mouse was
in the high-dose DCM group.  Slight response was also seen
in the promotion study; one animal in each DCM dose group had
a squamous cell carcinoma, and a second low-dose DCM animal
had a papilloma.  Three mice in the DP and DCM groups had tumors
in the initiation study.  Tumors, however, were found in one
acetone-initiated control group mouse and two phorbol 12-myristate
13-acetate (PMA) initiated control group mice.  PMA was used
as a promoting agent for the promotion study.  The difference
in response between the studies of Depass et al. (1982)  and
Nesnow et al.  (1982) may have resulted from a difference in
the source of test substances, a difference in mouse strain
or sex, or a difference in treatment regimen.
     Extracts of polluted air have also been administered to
test animals by subcutaneous injection.  Hueper et al. (1962)
prepared benzene extracts of city air, concentrated them by
evaporation, and injected 1% (w/v) solutions into C3H or C57
mice monthly for periods of up to 2 years.  This treatment
induced local tumors in 2-18% of the animals, the latency period
being from 9 to 24 months.  These results were, however, dis-
                              III-9

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DRAFT
      torted by substantial mortality in the test group because of



      the toxicity of the extracts.  Epstein et al.  (1966) developed



      a more sensitive assay, giving neonatal mice one to three injec-



      tions of the test material during the 1st week of life and



      sacrificing the animals up to 1 year later.  Extracts of air



      particulates still caused mortality in the test group, but



      the survivors developed hepatomas, lymphomas, and solitary



      and multiple pulmonary adenomas at rates significantly greater



      than those for the control group.



           In a later study, Rigdon and Neal (1971) collected air



      pollutants in the vicinity of petrochemical plants, made benzene



      extracts, and injected these once into 30- to 50-day-old CFW



      mice.  They observed the animals for up to 1 year, noting when



      tumors appeared.  The treatment induced as much as a 60% inci-



      dence of local, nonmetastatic fibrosarcomas.  This rate was



      greater than that resulting from the injection of mice with



      an amount of BaP equal to that in the extracts.  This suggested



      to the authors that multiple carcinogens or cocarcinogens were



      present in the extracts.



           Asahina et al.  (1972) used Epstein's neonatal mouse assay



      to test 10 fractions of an extract of New York City air.,  Sig-



      nificant increases in the number of tumors, including pulmonary



      adenomas and lymphomas, were found for four of the fractions.



      More recently, Epstein-et al.  (1979) reported a dose-response



      relationship between total tumor incidence and the cumulative



      total dosage of the extracts injected into mice.  The extracts,
                                    111-10

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                                                             DRAFT
which were found to contain PAHs, quinolines, and acridines,



induced solitary and multiple pulmonary adenomas and lymphomas



in both sexes and hepatocellular carcinomas in males.



     More recently, Pott et al.  (1980) collected airborne partic-



ulate matter from urban and rural locations, prepared organic



solvent extracts, and analyzed fractionated extracts for BaP



and other PAHs.  The extracts were then injected subcutaneously



and chronically into mice in a range of doses based on BaP



content.  Extracts with BaP contents of 0.37-1.1 yg induced



tumors at rates up to 30%, and a dose-response relationship



was seen with the fractions that predominantly contained PAHs.



Other fractions, containing primarily polar substances, had



some carcinogenic activity.



     A few investigations have been performed to test the capa-



city of fractions of polluted air to induce cancer in lung



tissue.  In these experiments, the test material was instilled



into the trachea of anesthetized animals from which it is easily



distributed into the lung.  Bogovski et al. (1970)  reported that



a benzene extract of oil shale soot containing 0.01% BaP induced



lung cancer in rats after this type of intratracheal instillation.



Mohr (1976) instilled a condensate of automobile exhaust into



the trachea of hamsters at 2-week intervals for 30 or 60 weeks.



The condensate, which contained a small amount of BaP (1.7 ug/ani-



mal), induced pulmonary adenomas in all the hamsters, a response



the author could not attribute to the BaP content alone.  In



a similar study, Kommineni and Coffin (1976) applied a gelatin
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DRAFT;
       suspension of air particulates, BaP, or participates and BaP



       to the trachea of hamsters once a week for 8 weeks.  All three



       groups showed progressive and severe inflammatory changes in



       the lungs; the third group, which was treated with the particu-



       lates and BaP, showed evidence of the formation of bronchial



       polyps.  In addition to these studies, researchers at the Health



       Effects Research Laboratory of the U.S. Environmental Protection



       Agency are completing studies of the effects of the long-term



       inhalation of diesel exhaust in mice and hamsters (Pepelko 1980).



            The studies of the biological activity of extracts of



       air pollution in animals do not provide data that are directly



       applicable to predicting health effects in humans.  Differences



       in the routes of exposure and the use of high concentrations



       limit the extent to which the results may be extrapolated to



       human exposures, while the toxic, noncarcinogenic, effects



       of the extracts limit the sensitivity of the tests to detect



       carcinogenesis.  In summary, however, they do indicate that



       ambient air, or materials released into air, contain compounds



       that by themselves or acting together have the ability to induce



       cancer in mammals.





       2.  In Vivo Studies of Irritant Effects of Particulates



            The ultimate effect of an inhaled carcinogen, which may



       be in the form of particles or adsorbed on particulate material,



       depends on several interrelated factors:  the distribution



       of the carcinogen in the lungs, its  retention and absorption,



       and the concurrent presence of respiratory irritants.









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                                                            DRAFT
     The size of a particle determines the extent to which



it penetrates the respiratory tract.  In nasal breathers, parti-



cles from 12.5 nm to 2.5 ym in diameter are capable of penetra-



tion of the alveolar region of the lungs.  Particles greater



than 2.5 ym in diameter are mostly removed in the nasal chambers,



and those less than 12.5 nm remain suspended in tidal air and



are exhaled (Kotin 1968, Shannon et al. 1974).  Studies have



also shown that retention of particulate matter in the lungs



is greatest at 1.0 ym in diameter and falls off sharply for



sizes greater than 2 ym or less than 0.25 ym  (Kotin and Falk



1963).  For mouth breathing the size of particles deposited



in the alveolar region of the respiratory tract can be up to



10 ym.  In addition, particles up to 15 ym may be deposited



in the tracheobronchial portion of the respiratory tract.



Clearance of very large particles in the alveolar region is



slower than for smaller particles (USEPA 1982).  Polluted urban



air contains particles in the range of 12.5 nm-2.5 ym; particles



of this size are also produced by the burning of solid fuels



and are present in the exhaust of gasoline and diesel engines.



Particle size may also influence the rate and extent of elution



of carcinogenic chemicals from the particles on which they



are adsorbed.   Falk and Kotin (1962) found that the lower size



limit for PAH release from particles in physiological conditions



in vitro was 100 nm in diameter.  Therefore, particles from



100 nm to 10 ym in diameter are probably of the greatest biolo-



gical significance, because they can readily penetrate and
                             111-13

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;FT
  be retained in the respiratory tract and adsorbed carcinogenic
  substances can be released.
       The role of the penetration and retention of particles
  in the lungs in inducing cancer has been investigated in a
  number of studies.  Inhaled ferric oxide (Fe2o3)  dust is an
  example of particulate material that, although not carcinogenic
  to laboratory animals by itself (Gilman 1962), enhances the
  effects of known carcinogens.  This observation was initially
  made by Saffiotti et al. (1968, 1972a,b) in studies in which
  ferric oxide particles and various carcinogens were concurrently
  instilled into the tracheas of hamsters.
       Feron et al. (1972) showed that the tumorigenic effect of
  diethylnitrosamine in the hamster respiratory tract was increased
  by a factor of 3 when instilled in hamsters with ferric oxide
  particles in solution.  This enhancing action of the ferric oxide
  particles has been attributed to their ability to increase the
  penetration and retention of carcinogenic substances that are
  bound to them.  This possibility was investigated by Sellakumar
  et al. (1973), who reported that adhesion of fine particles
  of BaP to equal-sized particles of ferric oxide was critical
  for tumor induction by intratracheal instillation.  Without
  the physical adhesion to the ferric oxide dust, much higher
  doses of BaP were needed to induce tumors in hamsters.
       Henry et al. (1975) confirmed these results and, by micro-
  scopic comparison of the lungs from the hamsters treated with
  ferric oxide particles coated with BaP to the lungs of those
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                                                           DRAFT
administered a mixture of the dust and the carcinogen, determined
that the particles of the mixture were removed from the lungs
more rapidly.  However, other studies have shown that the ability
of injections of the carcinogen diethylnitrosamine to induce
lung tumors in hamsters was increased by the tracheal instilla-
tion of ferric oxide particles  (Montesano et al. 1970, Nettesheim
et al. 1975).  These results suggest that the particles may
have a tumor-promoting effect in addition to enhancing carcinogen
penetration and retention.
     In addition to ferric oxide, other particulates have been
shown to enhance the action of carcinogens.  Studies have shown
this effect with BaP and particles of asbestos (Miller et al.
1965, Pylev and Shabad 1972), titanium oxide, aluminum oxide,
carbon (Stenback et al. 1976), and india ink (Pylev 1963).
The mechanism of these actions is unknown; Lakowicz and Hylden
(1978) demonstrated, however, that asbestos fibers increase
the lipid solubility of BaP, and hence could increase its cellular
uptake.
     Respiratory irritants present in polluted air also may
increase the carcinogenic effect of airborne substances by
changing the function and structure of the respiratory epithelium
and increasing their retention.   These irritants interfere
with ciliary activity and with the flow of the mucous stream.
Air pollutants that act as irritants to the lining of the respir-
atory tract include sulfur oxides, nitrogen oxides, ozone,
chlorine, ammonia, pollen, and allergens (Kotin 1968).  Laskin
                              111-15

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DRAFT
        et al.  (1970) demonstrated in rats that simultaneous inhalation
        of the  respiratory irritant sulfur dioxide and the carcinogen
        BaP resulted in the production of squamous cell carcinomas
        of the  lung.  Experiments performed by Richters et al. (1979)
        suggested that exposure to respiratory irritants also increased
        metastasis to the lung.  The authors injected melanoma cells,
        which readily metastasize to the lung, into mice that had been
        exposed for 10 weeks to an atmosphere containing nitrogen dioxide
        at 0.4  ppm.  At 10 and 21 days after infusion, the exposed
        animals showed significantly more melanoma nodules in the lungs
        than did the controls, which had breathed filtered air.

        3.  In Vivo Mutagenicity and Genotoxicity Testing
             The mutagenicity and genotoxicity of air pollutants, most
        notably diesel exhaust, have been studied in several animal
        models.  These in vivo tests are usually short term, and their
        use of  the whole animal is an obvious advantage over in vitro
        assay systems.  In addition, the test compound may be adminis-
        tered by appropriate routes.  These in vivo assays, however,
        usually are less sensitive and quantitative than in vitro assays
        where the cells come into direct contact with known amounts
        of test compound.
             In a series of genotoxicity studies on diesel and gasoline
        exhaust, as well as coke oven and roofing tar emission, several
        investigators used a variety of in vivo tests, which included
        the sex-linked recessive lethal test on Drosophila melanogaster,
        metaphase analysis, micronuclei assay, sperm morphology assay,


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                                                            DRAFT
sister chromatid exchange assay, chromosomal abnormalities



assay, and a liver foci assay.



     Schuler and Niemer (1980) examined the effect of exposure



to Nissan diesel engine exhaust gases in producing sex-linked



recessive mutatations in Drosophila melanogaster.   The flies were



exposed to a five-fold dilution of exhaust gases for 8 hours.



The exposed male Oregon-R strain flies were mated with Muller-5



strain females.  Two broods of the F- generation and one F^



generation brood were examined for sex-linked recessive muta-



tion.  No mutagenic activity was observed.  The authors pointed



out that a more thorough assessment would necessitate testing



at higher exposure doses.



     Pereira et al. (1980a) examined the genotoxicity of diesel



engine exhaust in female Swiss mice using metaphase analysis



and a micronuclei assay.  The mice were exposed for 8 hours



per day, 5 days per week, for 1, 3, and .7 weeks.  The exhaust was



diluted 18-fold and contained a final particulate concentration



of 6-7 mg/m .   Bone marrow cells were used for the metaphase



analysis, which involved examination of cells in metaphase.



This assay can identify compounds capable of breaking chromosomes



and chromatids.  Only the animals exposed for 7 weeks were



examined, and no effects were observed.  The micronuclei assay



was done on animals at all three exposure periods.  Polychromatic



erythrocytes in bone marrow were examined.  This assay can



also detect chromosome breakage and disruption of the spindle



apparatus.  At all three exposure periods, no significant increases
                             111-17

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in micronuclei were found.  BaP was used as a positive control



in these studies and was given at a dose approximating that



expected in the diesel exhaust.  In both assays BaP was also



negative, suggesting that the sensitivity of these assays was



too low for the exposure conditions.



     Pereira et al. (1980b)  also conducted a micronuclei assay



using Chinese hamsters exposed to diesel exhaust for 8 hours



per day for 6 months.   In this study they found a significant



increase in the percentage of polychromatic erythrocytes with



micronuclei.  The difference found between the mouse and hamster



study was not explained.  In the same study with hamsters,



chromosomal abnormalities in bone marrow cells were also examined.



As in the mouse metaphase analysis, no increase in chromosomal



abnormalities was observed.



     In addition to the other two assays, Pereira et al.  (1980b)



conducted a sister chromatid exchange (SCE) bioassay with the



bone marrow from the exposed hamsters.  SCE are produced because



of DNA lesions induced by mutagens and may be related to recombi-



national or postreplicative repair of DNA damage.  In this



study there was no significant change in the frequency of SCE.



There was, however, a decrease in the mitotic index.  Guerrero



et al. (1980) examined SCE in lung cells of Syrian hamsters



treated by either intratracheal instillation of one dose of



diesel exhaust particles at 0-20 mg/animal or by inhalation



exposure to diesel exhaust with a 6 mg/m  particle concentration



8 hours a day for 3 months.   Twenty-four hours after the intratra-
                              111-18

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                                                            DRAFT
cheal instillation or following the 3-month inhalation exposure,



the animals were killed, and primary lung cell cultures were



established.  When the cultures had colonies of 50 cells or



more, SCE analysis was performed.  A positive dose-response



relationship was found for intratracheal doses between 0 and



20 mg/animal.  Animals exposed by inhalation to diesel exhaust



had no increase in SCE.  When the total amount of particles



that were expected to be inhaled by the latter group of animals



was calculated and compared to the amount administered by intra-



tracheal instillation, it was found to be below the levels



that gave positive responses by intracheal instillation.



     It has been shown that exposure of mice to known mutagens



and carcinogens leads to an increase in the frequency of abnormal



sperm.  Pereira et al. (1980c) exposed male strain A mice to



18-fold diluted Nissan diesel exhaust with 6 mg/m  particle



concentration for 31 or 39 weeks; these time periods represent



approximately six and eight complete spermatogenic cycles.



No detectable changes in sperm morphology were found at either



time period.  Pereira et al.  (1980b) also examined sperm shape



abnormality in Chinese hamsters exposed to diesel exhaust for



6 months.  In this study there was a significant increase in



abnormal sperm.  The authors caution that this result was obtained



from a small group and should be viewed as preliminary.



     Pereira et al.  (198-Od) also used a rat liver foci assay



to examine the genotoxicity of diesel exhaust.  This assay



is similar to the two-stage mouse skin model for carcinogenesis.
                             111-19

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DRAFT
      Rats  were  given  a partial  hepatectomy  to enhance  the  rate of



      cell  proliferation  and  then were exposed to diesel exhaust



      emissions  for  3  or  6 months.  During exposure the rats were



      fed a choline-devoid diet, inducing a  dietary deficiency that



      acts  as  a  promoter.  At 3  or  6 months  the  rats were sacrificed,



      and their  livers were histologically examined for foci of hepa-



      tocytes  containing  gamma glutamyl  transpeptidase.  Gamma glutamyl



      transpeptidase is used  as  a marker for  cancerous  hepatocytes.



      No  increase  in foci was detected after  3 or 6 months  of exposure.





      4.  In Vitro Tests  of Extracts of  Air  Pollution



           Extracts  of polluted  air and  of air emissions have been



      tested for mutagenic and genotoxic activity in a  wide range



      of  in vitro  systems.  These tests  are  performed more  quickly



      and inexpensively than  whole  animal studies and can utilize



      effectively  the  small amounts of test  material usually available



      in  air pollution extracts.  In addition, a large  number of



      fractions  of the extracts  that have been separated on the basis



      of  chemical  structure or particle  size, can be tested concur-



      rently,  allowing for the identification and isolation of the



      substances responsible  for the mutagenic or genotoxic activity.



      Direct extrapolation of the results of in  vitro tests to poten-



      tial  human health effects  is  not yet possible, although several



      studies  have been performed that have  established a high degree



      of  correlation between  mutagenic and carcinogenic activity



      for some classes of chemicals.
                                   111-20

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                                                            DRAFT
     Of the wide range of in vitro tests, those that have been



used in testing air pollutants can be placed in four groups.



Gene mutational assays utilize bacterial or mammalian cell



cultures to detect single or multiple base changes (mutations)



in genes.  Larger scale damage to the DNA, in the form of DNA



strand breaks and exchanges between chromosomes, is detected



in assays using cultured hamster embryo cells, liver cells,



hamster ovary cells, and mammalian (human) lymphocytes.  The



ability of chemicals or extracts to cause aberrations in chromo-



somes, such as breaks, deletions, and translocations, is tested



in both hamster cells and human leukocytes.  Transformation



assays measure the degree to which substances can alter normal



cultured cells to states in which they more closely resemble



cancer cells.



     Transformation of cells in culture is considered analogous



to transformation of cells in vivo.  These transformed cells



in culture may have morphological and biochemical traits similar



to cancer cells.  Most important, when a cell that has been



transformed in culture is implanted in a syngeneic host, it will



form a tumor.  A variety of cells has been used in transformation



assays, including cells from established cell lines and cells



freshly isolated.  There are actually two types of cell transfor-



mation assays.  In one assay, the test compound produces the



transformation while in the other assay, the test compound



enhances a virally induced transformation of the cell.  This



latter assay is considered more sensitive than the first one.
                             111-21

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Both these assays give results that correlate well with the
results of other tests for carcinogenesis and rnutagenesis.
     Several studies of these types have been conducted with
extracts of air pollution and emission particulate.  Freeman
et al. (1971) tested benzene extracts of the city air particu-
lates for their capacity to transform rat and hamster embryo
cells in culture.  Transformation was considered complete if
the cells treated with extracts formed tumors when transplanted
into neonatal mice.  The authors found that the extracts did
not transform rat embryo cells but did transform cells that
had previously been infected with Rauscher leukemia virus.
In these cultures of virus-infected cells, the extracts were
600 times more effective in inducing transformation than an
equal amount of pure BaP.  In addition to the results seen
in rat embryo cells, the extracts transformed both infected
and uninfected hamster cells.  The infected hamster cells were
as sensitive as the virus-infected rat cells; the uninfected
cells were one-tenth as sensitive as the virus-infected rat
cell cultures.
     In another study, Gordon et al. (1973) first removed the
PAHs by benzene extraction from particulates collected from
Los Angeles air.  The residue was further extracted with methanol,
and this fraction was tested for transforming ability in cell
cultures of Fischer rat. embryos or Swiss albino mouse embryos.
(The mouse cells, but not the rat cells, had been infected
with leukemia virus.)  Results were positive in both systems,
                              111-22

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                                                         DRAFT
indicating to the authors that non-PAH carcinogens were present
in the extract.
     Curren et al. (1981) investigated the transforming activity
of dichloromethane extracts of participates from several types
of diesel engines, a gasoline engine, and coke oven and roofing
tar emissions.  They used the BALB/c 3T3 cells in their assay
systems, which included or excluded the metabolic-activating
system from rat liver.  Several of the extracts showed signifi-
cant transforming activity, but no clear dose-response relation-
ships were found.  The metabolic-activating system reduced
the transforming activity of some extracts and did not greatly
increase the activity of any extract; this suggested that there
were direct-acting agents in the extracts.  The most potent
extracts came from coke oven emissions and the gasoline engine.
These were followed by extracts from a Nissan light diesel
engine exhaust and then roofing tar emission.  Essentially
no activity was found in extracts of exhaust from an Oldsmobile
light diesel engine and a heavy diesel engine.
     Using the same extract material, Castro et al. (1981)
were unable to show any transforming activity in their assay
system using Syrian hamster embryo cells.  However, when the
cells were first infected with simian adenovirus SA7,  several
extracts were capable of enhancing the viral transformation
of the cells.  Ranking the extracts according to the lowest
effective concentration shows that extract of roofing  tar emis-
sion >coke oven emission >cigarette smoke condensate >Nissan
                             111-23

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light diesel engine >a gasoline engine and a VW diesel engine.
Extract from the Oldsmobile light diesel engine and the heavy
diesel engine had little or no activity.
     Many other assays have been developed to identify carcino-
genic compounds using mammalian cell cultures.  Several of
these assays have been used to examine the genotoxic or mutagenic
activity of diesel engine particulate exhaust extracts and
extracts of particulates from other emission sources.  Mitchell
et al. (1981) used L51784 mouse lymphoma cells to examine the
mutagenicity of these extracts.  The assay was done with and
without a metabolic-activating system.  All extracts tested
gave positive results in the presence and absence of the meta-
bolic-activating system, indicating the presence of direct-
acting mutagens in the extracts.  Extract of the gasoline engine
exhaust emission was the most potent extract tested.  Castro et
al.  (1981) examined the same extracts for mutagenicity using
Chinese hamster ovary cells.  In this system, extracts of emis-
sions from the Nissan and Volkswagen diesel engines, the gasoline
engine, and coke oven were positive.  Unlike the results of
Mitchell et al.  (1981) with mouse lymphoma cells, extracts
of emissions from a heavy diesel engine, the Oldsmobile light
diesel engine, roofing tar, and cigarette smoke were not found
to be mutagenic.  Curren et al.  (1981) used mouse BALB/c 3T3
cells in a mutagenicity assay and found extracts of emissions
from roofing tar, the Nissan light diesel engine, the gasoline
engine, and coke oven to be mutagenic, and the heavy diesel
                              111-24

-------
                                                        DRAFT
engine and the Oldsmobile light diesel engine not to be muta-
genic.
     Using Syrian hamster embryo cells, Castro et al. (1981)
examined whether the extracts would cause DNA fragmentation.
This type of damage induced by chemical agents correlates fairly
well with their carcinogenic potential.  Only coke oven and
gasoline engine emission extracts caused detectable breakage
of the cellular DNA.
     Mitchell et al. (1981) examined whether these extracts
would increase sister chromatid exchanges (SCE)  in Chinese
hamster ovary cells.  Without metabolic activation, all extracts
tested showed some activity.  Coke oven emission and Nissan
light diesel engine exhaust extracts were the most active.
     Lockard et al. (1981)  examined whether extracts from air-
borne particulates would increase SCE in human lymphocytes
or V79 fibroblasts from Chinese hamster lungs.  They used extracts
from samples of airborne particulates, collected over a 5-month
period on the campus of the University of Kentucky in Lexington.
There was a linear dose-related increase of SCE in human lymphocytes
with 60-80 yg of extract necessary to induce a doubling in
the number of SCE.  Several extracts that were positive with
human lymphocytes failed to induce an increase of SCE in V79
cells, however, other extracts did cause an increase.  BaP
was used as a positive control and increased SCE in both cell
types.  The increase of SCE in human lymphocytes by BaP did
not occur in the presence of a metabolic activating system,
                             111-25

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DRAFT
    although, BaP generally needs to be metabolically activated
    to be effective.  The amount of BaP, 8 ug,  needled to induce
    a doubling of the SCE in these cells was much more than was
    likely to be in the extracts.  Therefore, the extracts must
    have contained active compounds other than BaP.
         The most widely used gene mutational assay in testing
    extracts of air pollution is the Ames assay (Ames et al.  1973,
    1974) , which measures the rate at which special, strains of
    the bacteria, Salmonella typhimurium, mutate or revert to a
    less specialized form.  The assay uses either the test material
    directly or the test material in combination with a biochemical
    preparation of liver or lung tissue that metabolizes the test
    material, thereby testing for the possibility of in vivo genera-
    tion of mutagens.  The correlation of positive results in the
    Ames assay with positive results in long-term carcinogenicity
    assays has been found to be Detween 30% and 90% depending on
    the class of chemical being tested  (McCann et al. 1975, Commoner
    et al. 1976).  A recent international study with 42 chemicals
    found the false positive rate, i.e., the rate at which a positive
    result was obtained for a noncarcinogen for bacterial assays,
    to be 5-10% (Bridges et al. 1981).
         Gene mutational assays have been used to test air pollu-
    tion from a number of sites and sources.  Using the Ames assay,
    investigators have detected mutagenic activity in extracts
    of particulates from residential and urban air (Talcott and
    Wey 1977, Pitts et al. 1977, Tokina et al.  1977, Commoner et al.
                                  111-26

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                                                           DRAFI
1978, Teranishi et al. 1978, Salamone et al. 1979, Moller and
Alfheim 1980, Lockard et al. 1981, Tokiwa et al. 1980, and
Walker et al. 1982), in fly-ash from coal-fired power plants
(Fisher et al. 1979), in particulates collected from air in
tunnels (Ohnishi et al.  1980), and in exhaust from gasoline-
and diesel-powered automo biles (Ohnishi et al. 1980, Wang et
al. 1981, Huisingh 1981, and Lewtas 1982).  One study (Tokiwa
et al. 1977) reported higher mutagenic activity in samples
taken from an industrial area than in samples from a residential
area.  In most of the studies, a linear dose-response relation-
ship was observed between the amount of material tested and
mutagenic activity (Tokiwa et al.   1976, Tokiwa et al. 1977,
Pitts et al. 1977, Teranishi et al. 1978, Commoner et al. 1978,
Salamone et al. 1979, Moller and Alfheim 1980, Ohnishi et al.
1980, Walker et al. 1982).
     Because the extracts of air pollution are composed of
a heterogenous mixture of substances, it is unlikely that the
mutagenic activity can be attributed to a single chemical or
class of chemicals.  Most of the tests, however, have indicated
that the airborne mutagens cause the same type of mutation.
Tokiwa et al (1977),  Teranishi et al. (1978), Salamone et al.
(1979), Moller and Alfheim (1980), Ohnishi et al. (1980), Claxton
(1980), and Walker et al. (1982) have reported the highest
activity of their samples were in the Salmonella strains most
sensitive to frameshift mutations.
                              111-27

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DRAFT
           BaP and other  PAHs  have been identified  in extracts of
      air pollutants by Talcott and Wei (1977),  Tokiwa et al.  (1977),
      Commoner et al.   (1978),  Dehnen et al.  (1978),  Salamone  et al.
      (1979),  Moller and  Alfheim (1980), Ohniski et al.,  (1980),  and
      Tokiwa et al.   (1980).   Several studies  have  indicated that
      PAHs require metabolic  activation by the liver  tissue preparation
      to have  a mutagenic effect (Wislocki et  al.  1976,,  Wood et al.
      1976).  Talcott and Wei  (1977)  found that 75% of the mutagenicity
      of their urban air  samples was due to an enzyme-activated frac-
      tion; this activity was  substantially reduced when an inhibitor
      of the PAH-metabolizing  enzymes was added to  the culture.
      Moller and Alfheim  (1980), Lockard et al.  1981, and Salamone
      et al. (1979), however,  found extracts from their  air pollutant
      sample usually gave similar results with and  without a metabolic-
      activating system.
           Pitts et al. (1980)  recently demonstrated that BaP deposited
      on a glass fiber filter  in the presence of ambient levels of
      ozone is transformed to strong mutagens in the Ames test.
      This suggests that  airborne BaP may not always require metabolic
      activation to exert a carcinogenic effect, but that is chemically
      activated in the atmosphere by ozone.  On the other hand, the
      finding indicates that  some mutagens found in the particulate
      extracts may be artifacts of the method of collection and,
      as indicated below, direct-acting mutagens are found in the
      extracts.
                                    111-28

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                                                           DRAFT
     Analyzing air samples from residential areas, Talcott
and Wei (1977), Holier and Alfheim (1980), Salamone et al. (1979),
and Tokiwa et al. (1977)  observed mutagenic activity that did
not require enzyme activation.  In later research, Wang et al.
(1978) found that the lead content of extracts of non-industrial
airborne particulates correlated well with mutagenic activity,
suggesting to the authors that the source of the mutagens was
vehicular emissions.  Further, they detected direct-acting
mutagens in extracts of automobile exhaust, although they did
not isolate the compound or compounds responsible.  Wang et al.
(1980) found that extracts from diesel exhaust particulates
were mutagenic and that the mutagenicity of the extract was
not dependent on metabolic activation by liver homogenate.
They actually showed that this activity was reduced by addition
of the homogenate.  The reduced activity was found not to be
from enzymatic activity but from nonspecific binding of the
mutagens to the protein in the homogenates instead of the DNA
of the bacteria.  They showed that glutathione, a natural con-
stituent of the body that can bind to electrophilic compounds,
reduced the mutagenicity of the extract, thus suggesting that
the mutagens are direct alkylating agents.  Claxton (1980)
also found that the majority of the mutagenic activity in extracts
of diesel exhaust was direct acting.   Mutagens in gasoline
engine exhaust extracts were partially direct acting, but meta-
bolic activation did increase the mutagenic activity of the
extracts.  Whether any of the direct-acting mutagenic activity
                             111-29

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DRAFT
     discussed  here  is  artificial  because  of  the method  of  collection



     is  not  known  this  makes  assessments of the extracts more  diffi-



     cult.



          In a  study designed to determine the size  of the  particles



     associated with airborne mutagens, Talcott and  Harger  (1979)



     detected the  highest  activity in  particles less than 2 urn in



     diameter and  found that  this  fraction contained alkylating



     agents. Fisher et al.  (1979)  and Tokiwa (1980)  also compared



     particle size and  mutagenic activity. Fisher et al.  (1979)



     found that fly-ash particles  of  3.2 urn diameter had the greatest



     mutagenic  activity, and  Tokiwa et al. (1980) found  the highest



     mutagenic  activity and PAH content  in particles with diameter



     of  0.3-1.0 urn.   Particles of  these  sizes readily penetrate



     lung  airways  (Kotin 1968).





     C.  Monitoring  Data



          A number of substances known to  cause cancer in humans



     or  laboratory animals have been  detected in ambient air.   These



     substances include PAHs, aza-heterocyclic compounds, vinyl



     chloride,  asbestos, metals, pesticides,  N-nitroso compounds,



     carbon tetrachloride, and many other  industrial chemicals.



          Table III-l (in  Appendix B)  is a compilation of suspected



     and known  carcinogens found in air  pollution.   This list  contains



     PAHS,  pesticides,  and inorganic  compounds



          The presence  in  air"of some  of the  suspected or known



     carcinogens listed in Table III-l has not been  established



     by  monitoring,  but is highly  probable.   These compounds are









                                  111-30

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                                                            DRAFT
used in industry or are industrial by-products; because of



their volatility or association with fume-producing processes,



they are likely to enter the air.  Alkylating agents such as



bis(chloromethyl)ether and chloromethyl methyl ether are potent



carcinogens in rodents (Laskin et al. 1971, Leong et al. 1971)



and humans (Albert et al.  1975, Lemen et al. 1976, Pasternack



et al. 1977,  Sakabe 1973).  The presence of these substances



in ambient air has not been determined, but the stability of



bis(chloromethyl)ether in moist air is at least 18 hours (Collier



1972), a period of time long enough for human exposure to occur.



     The presence of carcinogenic substances in the ambient air



strongly suggests that humans are exposed.  However, monitoring



data alone are generally inadequate to determine the extent



of exposure of individuals.  Given that the average person



inhales from 10 to 20 m /day of air, one can estimate the quan-



tity of the inhaled material to be in the microgram to milligram



range.



     Particulate air pollution is an important contributing



source of known and suspected carcinogens in the air.  In addi-



tion to the organic compounds, particulate air pollution contains



arsenic, beryllium, cadmium, chromium, lead, nickel, and asbestos.



As discussed in a review of particulate air pollution by USEPA



(1982), there is a multimodal distribution in the size of the



particulates.  Particles less than 0.1 urn are in the nuclei



(Aitken) mode and typically originate from combustion sources.



These particles are short-lived because of coagulation of the
                              111-31

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;£•*. £T
T..MS !
    particles  into particulates  with  the size  of  0.1-2.5  ym;  the



    newly formed  particles  are considered to be  in the  accumulation



    mode.   Particles  making up these  two modes are termed fine



    particles.  The final category is of particles greater than



    2.5  ym,  making up the coarse mode.   These  particles are usually



    derived  from  mechanical processes or wind  erosion and are not



    usually  formed to any great  extent from fine  particles.  Fine



    particles,  because of their  long  residence time and atmospheric



    formation,  can build up far  from  their source while coarse



    particles  normally occur only near strong  source emissions.



         As  a  general historical perspective,  total suspended parti-



    culate in  New York City in the early 1960s contained  10%  or



    less benzene-soluble organic material.  Control programs  put



    into effect between the early 1960s and mid  1970s produced



    a substantial reduction in total  suspended particulates.   With



    the  reduction of  particulates there was a  marked decrease in



    the  concentration of benzene-soluble organics and trace elements



    (USEPA 1982).



         A large  number of  gaseous air pollutants are suspected



    or known carcinogens.   The concentrations  of  these  compounds



    are  usually harder to measure than those associated with particu-



    lates because of the difficulty in collecting sufficient amounts



    to quantify.   Singh et  al.   (1982) has recently reported the



    results of a  3-year study on gaseous air pollutants.   They



    measured 44 different  organic chemicals in 10 cities  throughout



    the  United States.  In  general they found  a  number  of known
                                  111-32

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                                                             DRAFT
bacterial mutagens and suspected carcinogens.  Most of the
compounds measured were in the subparts per billion concentra-
tion, although concentrations of aromatic hydrocarbons and
formaldehyde averaged 5-20 ppb.  The concentrations of anthro-
pogenic compounds were generally one or two orders of magnitude
higher in urban air than in rural or clean remote air.  Diurnal
variations were observed and depended on source strength and
prevailing meteorology.  Afternoon mixing led to sufficient
dilution to produce minimum concentrations of several primary
pollutants.  Photochemical pollutants showed maximum concentra-
tions in the afternoon.

D.  Multimedia Exposure
     In addition to exposure to airborne carcinogens by inhala-
tion, studies of the environmental distribution of air pollutants
indicate that human exposure can also occur through routes other
than inhalation.  There is evidence that some substances released
into the air, if unaltered chemically, ultimately end up in soil
and water or on plants, including edible plants.
     Arsenic and lead have been studied for their environmental
distribution.  Lindau  (1977) found arsenic in drinking water
(0.08-3.0 yg/liter), soil (5-15 mg/kg), and vegetables and
grains (0.1 yg/g).  Levels measured in the vicinity of a copper
smelter were 500 yg/liter (water), 30 mg/kg  (soil), and 0.06
yg/g (barley).  Levels were considerably lower in samples taken
40 km from the plant.  Studies in 32 areas of the United States
showed a correlation between the amount of lead in rainfall


                              111-33

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RA.FT
    in a given locality and the amount of gasoline used  in  theit
    locality  (Lazrus et al. 1970).  Numerous other studies  have
    demonstrated an inverse relationship between the lead content
    of grasses and soil and their distance from highways  (NAS  1972a).
    Studies of crop plants indicated that, although the  lead content
    of exposed parts was proportional to air lead concentreitions,
    the levels of lead in the seeds and roots  (the edible portions)
    were unaffected (Motto et al. 1970).  After review of this
    and other studies, the Committee on Lead in the Human Environment
    of the National Academy of Sciences concluded that most of
    the lead content of plants, possibly as much as 90-99%,, origin-
    ates from atmospheric pollution.  They added, however,  that
    this estimate cannot be applied yet to crop plants,  or  to  the
    edible portions of crop plants  (NAS 1980).
         Kotin and Falk  (1963) demonstrated that BaP is  stable
    in the atmosphere, both in its crystalline form and  when it
    is adsorbed on soot.  Lunde and Bjorseth (1977) showed  that
    BaP can be transported long distances in the eiir.  In the  United
    States, BaP was found in higher concentrations in soil  around
    petroleum and chemical plants  (Menck et al. 1974); in the  Soviet
    Union, it was found in higher concentrations in soil around
    airfields, coke ovens, and oil refineries  (Shabad 1980).   Accord-
    ing to Shabad (1980), levels of BaP in water in the  Soviet
    Union are also higher in industrial areas.  Santodonato et
    al.  (1981) summarized multimedia human exposure to polycyclic
    aromatic hydrocarbons  (PAH), Table III-2.
                                  111-34

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                                                       DRAFT
                           TABLE III-2

                 ESTIMATED HUMAN EXPOSURE TO PAH
                   FROM VARIOUS  AMBIENT SOURCES
                             (yg/day)
Source
Air
Water
Food
BaP
0.0095-0.0435
0.0011
0.16-1.6
Carcinogenic
PAHa
0.038
0.0042
b
Total
PAH
0.207
0.0270
1.6-16
aTotal of BaP, BjF, and indeno[1,2,3-cd]pyrene

 No data available

SOURCE:  Sandodonato et al. 1981


     Atmospheric deposition of PAH onto food and into water

cannot be considered the only source of PAH exposure via these

routes since food preparation and local effluent sources may

add to PAH levels.


E.  Summary

     This chapter compiles and summarizes experimental evidence

and monitoring data.  A substantial number of studies has shown

that extracts of airborne materials from polluted air and mate-

rials emitted from motor vehicle engines and stationary sources

are frequently carcinogenic and mutagenic when tested in experi-

mental bioassay systems.  Results of in vivo tests have included

the induction of skin cancers, lymphomas, fibrosarcomas, liver

tumors and lung tumors in mice,  lung tumors in rats and hamsters,
                             111-35

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DRAFT
   and  chromosome  damage  and  sister  chromatid exchange  in hamsters.



   Respiratory  irritants  present  in  polluted air may  also enhance



   the  effects  of  other carcinogenic agents.  Results of in vitro



   tests  have included the  induction of point mutations in bacteria



   and  Drosophila  melanogaster, malignant  transformation of mammalian



   cells  in  culture,  and  sister chromatid  exchange  and  DNA fractiona-



   tion in cultured mammalian cells, including human  cells.  Positive



   results in these in vitro  tests are generally correlated with



   the  potential  for  carcinogenicity.



       Table III-l  (in Appendix  B)  lists  more than 50  chemicals



   that have been  detected  in ambient air  and that  are  known or



   suspected to be carcinogenic in humans  or in experimental anL-



   mals.  Where comparative data  are available, concentrations



   of  these  chemicals tend  to be  higher in urban areas  than in



   rural  areas, and higher  still  in  industrial emissions.  There



   is  evidence  of  significant multimedia exposure  to  several pol-



   lutants after  their release into  ambient air.
                                111-36

-------
                                                            DRAFT
                   IV.  QUANTITATIVE ESTIMATES

A.  Introduction
     Chapters II and III have reviewed the qualitative evidence
for an association between air pollution and cancer rates.
This chapter reviews and summarizes estimates of the possible
magnitude of this association—i.e., the number of cancers
that might be "attributable" to exposure to air pollution.
It should be emphasized that quantitative estimates of this
kind can be made (with caution, of course) even if the qualita-
tive evidence for the association is not regarded as fully
conclusive.  The "softer" the evidence that is used the wider
is the possible range of resulting estimates.  The question
addressed in this chapter is the following:  If air pollution
is a causative factor in human cancer, what estimates can be
made of the fraction of human cancers to which it contributes?
     It should be emphasized that the word "contributes" in
this question does not imply that air pollution would operate
independently as a single causative factor.  As emphasized
earlier, most cancers have multiple causes, and there is evidence
that air pollution may act in conjunction with other factors
to increase the risk of cancer.  Some reviewers have recognized
this by assigning a certain fraction of cancers to more than
one causative factor.  One way that has been used to develop
estimates of the fraction of cancers "attributable" to air
pollution is to "subtract out" the effects of other factors.
                              IV-1

-------
DRAFT
    This is almost certain to lead to underestimation of the contri-
    bution of  air  pollution,  by subtracting out the cancers attributa-
    ble to the joint action of these other factors with air pollution
    and attributing them solely to the other factors.

    B.   General Estimates
         Because of the limitations inherent in the epidemiologic
    studies,  estimates of what percentage of human cancers may
    be  attributable to air pollution have been the subject of dis-
    agreement.  Several participants in the recent. EPA rulemaking
    cited estimates by Higginson and Muir (1979,  1976)  and Wynder
    and Gori  (1977) that no more than one percent of total cancer
    deaths are attributable to air pollution.   The data on which
    these estimates are based were not fully described, but these
    estimates  appear to be "subtracted out" estimates,  since in
    both reviews the fractions of human cancer rates attributed
    to  various factors add up to 100%.  Hence, these authors impli-
    citly excluded multiple causation.
         The  most extensive recent review of data providing evidence
    for associations between  cancer and environmental factors is
    that of Doll and Peto (1981).  In the conclusion of their review
    (Table 20), they proposed 2% as the "best estimate" of the
    percentage of all cancer  deaths attributable to pollution of
    all kinds, with a "range  of acceptable estimates"  extending
    from less  than 1% to 5%.   Although the basis for these figures
    is  not completely clear,  they appear to have been based on
    the estimates of Pike et  al. (1975) and Cederlof et al. (1978),
                                  IV-2

-------
                                                            DRAFT
both of which were cited for the conclusion that urban air
pollution (as characterized by BaP) might have contributed
to about 10% of lung cancer in big cities, i.e., about 1% of
all cancers in the country as a whole.  The effects of industrial
emissions were regarded as negligible, and cigarette smoking
was considered sufficient to account for most, if not all,
of the patterns of variation in lung cancer rates, including
urban/rural differences.  A critique of this secondary review
paper is presented in Appendix E.
     Shy and Struba (1982) presented another review of the
scientific evidence on air pollution and cancer.  While citing
some of the epidemiologic and experimental evidence reviewed
in this report, they concluded that "firm conclusions about
air pollution and lung cancer are simply not warranted by the
current state of knowledge."  Although they did not make quanti-
tative estimates of the possible magnitude of the association,
they discussed attempts to estimate the risks from exposure
to BaP by linear extrapolation from data on occupationally
exposed workers, and concluded that such extrapolation "would
support an extremely low risk (0.1 to 0.01 of a two to threefold
excess)  for ambient air."  A risk of this magnitude would consti-
tute between 1% and almost 20% (between 0.01(2-1)  and 0.1(3-1))
of all lung cancers, and thus would fall within the range of
other estimates discussed in this chapter.  Further comments
on Shy and Struba1s review are presented in Appendix E.
                              IV-3

-------
DRAFT
    C.   Estimates Based on Analysis of Epidemiologies! Data

         A number of investigators have attempted to derive estimates

    of  the quantitative relationship between lung cancer rates

    and air pollution, using BaP and other substances as indices.

    Although we believe that BaP has become less and less useful

    as  an indicator of generalized air pollution over time, we

    report 12 published estimates:

         •  NAS (1972b) based on the data of Carnow and Meier (1973)

         •  Pike et al. (1975)  based on the data of Doll et al.
            (1965, 1972)

         •  Pike et al. (1975)  based on the data of Stocks (1957)

         •  Wilson et al.  (1980)  reviewing estimates of Pike et
            al. 1975

         •  Pike and Henderson (1981)

         •  Lave and Seskin (1977)

         •  Doll  (1978)

         •  Cederlof et al. (1978)

         •  Wilson et al.  (1980)  based on the data of Hammond et al.
            (1976)

         •  Wilson et al.  (1980)  based on a review of several of
            the above estimates

         •  CAG (1978)

         •  CAG (1982)

         We also present an independent estimate, based on analysis

    of data of Hammond and Garfinkel  (1980), as reassemoled by

    Goldsmith  (1980), and not based on BaP levels.   (The data cited

    by Hamrtond and Garfinkel on ambient levels of pollutants were

    based on observations made after the mortality from lung cancer
                                   IV-4

-------
                                                             DRAFT
had occurred.  These after-the-fact data are not used in our

independent computation.)

     An earlier review by the National Academy of Sciences'

Committee on Biologic Effects of Atmospheric Pollutants  (NAS

1972b) laid out the argument for using BaP as an air pollution

indicator:

        It appears, then, that there is an "urban factor"
    in the pathogenesis of lung cancer in roan.  The poly-
    cyclic organic molecule mentioned most prominently
    in this report has been benzota]pyrene.  It was felt
    that benzota]pyrene could be used as an indicator
    molecule of urban pollution, implying the presence
    of a number of other polycyclic organic materials of
    similar structure that may also have some carcinogenic
    activity.  The standard measure of benzol a]pyrene con-
    centration in the air is the number of micrograms per
    1,000 m  of air.  On the basis of epidemiologic data
    set against information regarding the benzo[a]pyrene
    content of the urban atmosphere, one can develop a
    working hypothesis that there is a causal relation
    between air pollution and the lung cancer death rate
    in which there is a 5% increase in death rate for
    each increment of urban air pollution.  In this study,
    an increment of pollution corresponded to 1 ng of
    benzo[a]pyrene per 1,000 m  of air.  On the basis
    of this assumed relation, a reduction in urban air
    pollution equivalent to 4 benzo[a]pyrene units (i.e.,
    from 6 tig/1,000 m  to 2 ng/1,000 m )  might be ex-
    pected to reduce the lung cancer death rate by 20%.
    These data, however, are not to be interpreted as in-
    dicating that benzol a]pyrene is the causative agent
    for lung tumors.  There is much to support the idea
    of synergism or cocarcinogenesis, especially with
    respect to cigarette smoking.  In addition, the car-
    cinogenic significance of other polycyclic organic
    molecules in urban air pollution should be determined.

                                    (NAS 1972b, p.  246)

     However, BaP seems to have become less useful, with time,

as a general indicator of air pollution.   A recent review of

problems associated with air pollution (Karolinska Institute

Symposium on Biological Tests in the Evaluation of Mutagenicity
                              IV-5

-------
HRMT
      and Carcinogenicity of Air Pollutants, 1982) ,  scheduled for

      publication in Environmental Health Perspectives (major authors,

      Lars Freiberg and Norton Nelson)  came to the conclusion:

          At the present time there is no way to quantitate
          how changes in air pollution levels may have reduced
          mortality from lung cancer because there has been
          a lack of a completely reliable indicator  of air
          pollution carcinogenicity.

      The Karolinska 1982 review repeated the conclusions of an earlier

      review (Cederlof 1978)

          combustion products of fossil fuels in ambient air,
          probably acting together with cigarette smoke,  have
          been responsible for cases of lung cancer  in large
          urban areas, the numbers produced being of the order
          of five-ten cases per 100,000 per year

      and indicated no basis for any revision in the conclusions

      drawn by NAS (1972b) in view of current data.   Five to 10 cases

      per 100,000 per year is about 6 to 15% of all  lung cancer cases.

           There is evidence that BaP levels have decreased in the

      United States (CEQ 1980) in the past 20 years, without a propor-

      tional decrease in all other air pollutants—thus currently

      making BaP a poor index of trends in air pollution levels.

      In 1958-59, the median level of BaP measured in urban air was
                  •3                  O
      about 6 ng/mj (range, 1-60 ng/m ), and that in rural air was

      about 0.4 ng/m3 (Sawicki et al. 1960).  By the mid-1960s the

      median level at urban sites was reduced to 3.2 ng/m , and by

      the mid-1970s it was reduced to below 1.0 ng/m'1 (Wilson et

      al. 1980, CEQ 1980, Shy and Struba 1982).  Although earlier

      measurements are not available for the United  States, Shy and

      Struba (1982) suggested that levels in the 1930s and 1940s
                                    IV-6

-------
                                                              DRAFT
would have been several-fold higher.  Wilson et al. (1980)
cited data compiled by Ludwig et al. (1971), which showed that
dustfall rates declined by a factor of about 2 in Pittsburgh,
Cincinnati, and Chicago between 1935 and 1958, and by the same
factor in New York City between 1945 and 1958.  Since much
of the dustfall in these urban areas was associated with incom-
plete combustion of fossil fuels in these periods, dustfall
rates may provide a surrogate measure of likely changes in
BaP levels.  However, there was no marked change in dustfall
rates between 1958 and 1966, a period in which the data cited
above suggest a substantial decrease in BaP levels.  Levels
of BaP in the United Kingdom in the mid-1970s were several
times higher than in the United States, probably in the range
of 3-5 ng/m3 (Lawther 1980, Wilson et al. 1980).
     One consequence of the changes in BaP levels since the
1950s (or earlier) is that differences between regions (e.g.,
between urban and rural areas) have been reduced (CEQ 1980),
so that associations between air pollution (as measured by
BaP)  and cancer rates are more difficult to demonstrate.   Compar-
ison of cancer rates with contemporaneous BaP levels is likely
to overestimate the strength of the relationship between them,
because cancer rates are actually influenced by exposures 20
or more years earlier, when BaP levels (and differentials)
were higher.  Also, as discussed in Section II.B.S.d., levels
of other carcinogenic components of ambient air have probably
increased, while those of polynuclear aromatic hydrocarbons
                              IV-7

-------
(of which BaP serves as an index) have decreased.  Hence, apply-
ing the relationship of cancer rates to BaP levels at some
time in the past will overstate the BaP effect per unit dose
and will underestimate the hazards posed by present-day ambient
air, and hence will underestimate the contribution of present-day
exposures to future cancer risks.
     Recognizing these difficulties, we have summarized in
Table IV-1 the estimates made by others of the dependence of
lung cancer rates on BaP levels.  Most of these estimates were
obtained by linear regression techniques (i.e., calculation
of the linear relationship between differentials in lung cancer
rates and differentials in BaP levels).  Hence, the dependence
of lung cancer rates on air pollution levels is expressed in
units of incremental lung cancer rate per ng/m  of BaP.
     The 13 estimates reviewed above are listed in the second
column of Table IV-1.  In comparing these estimates, it. should
be recognized that they fall into two categories that are not
strictly comparable.  The estimates by GAG (1978, 1982), Pike
et al.  (1975) based on data of Doll et al. (1965, 1972), Pike
and Henderson (1981), and Wilson et al.  (1980) based on delta
of Hammond et al.  (1976) , were based on  studies of workers
occupationally exposed to products of incomplete combustion.
In these studies BaP was used as an index of exposure to these
products.  The remaining estimates were  based primarily  (or
entirely) on studies of the general population exposed to ambient
air, and used BaP as an index of exposure to a wider mixture
                               IV-8

-------
                          DRAFT








































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IV-9

-------
DRAFT
        of materials.  The fact that the worker studies yield lower



        estimates of dose-response coefficients (0.1-0.8 x 10   )  than



        the population studies  (0.8-5.0 x 10"^) (p<0.01, Mann-Whitney



        test) suggests that products of incomplete combustion may be



        associated with only a part of the excess of lung cancers in



        urban areas, thus making BaP a poor indicator of total  air



        pollution.



             The principal limitation in quantifying the population



        studies is that they all relate cancer deaths observed  in the



        period 1959-1975 to BaP levels measured or estimated for  the



        period 1958-1969.  If levels of BaP and related products of



        incomplete combustion were higher in the 1930s and 1940s  (more



        coal-burning emissions, but fewer automobiles), these studies



        would overestimate the dose-response coefficient between lung



        cancer rates and BaP levels.  As an illustration of the likely



        magnitude of this effect, we present in the third column of



        Table IV-1 adjusted estimates of the dose-response coefficient,



        derived by assuming that the effective population exposure to



        polluted air for cancers developing in the 1960s and later was



        in the period 1935-45, and that levels of BciP at that period



        (using dustfall rates as a surrogate index of likely BaP  levels,



        as discussed above) were about twice those measured in  the early



        1960s.  For the estimates based on European studies  (Lave and



        Seskin 1977, Doll 1978~, Cederlof et al. 1978), the figures in



        the second column were based on a value of 3.5 ng/m  for  the



        urban-rural differential in BaP levels, which was appropriate
                                      IV-10

-------
                                                               DRAFT
for the mid-1970s.  We have adjusted these European figures
by a factor of 4 to account for the assumed reduction in BaP
levels since the period 1935-45.  Estimates based on studies
and occupationally exposed workers have not been adjusted.
     To place these estimates of dose-response relationships
in quantitative perspective, the last two columns in Table IV-1
present calculations of the number of lung cancer deaths that
could be attributed to air pollution characterized by 6.4 ng/m
of BaP.  This is approximately twice the average level of BaP
to which the U.S. population was exposed in the mid-1960s,
and hence is the average level of BaP to which we have assumed
the U.S. population was exposed in the period 1935-45.  The
figures in the last two columns of Table IV-1 are derived by
multiplying the "adjusted" dose-response coefficients in the
third column by 6.4 ng/m3.  These figures give estimates of
the number of lung cancer deaths in the 1960s (per 100,000,
expressed as a percentage of total U.S. lung cancer deaths in
1975; this percentage is an understatement of the percentage
of deaths in the 1960s related to BaP exposure)  attributable
to air pollution levels in prior decades.  The estimates based
on studies of the general population fall into the range between
2 and 8 deaths/year per 100,000 people, or between 5% and 20%
of the lung cancer rates in the mid-1970s.  The estimated median
from these population studies is 4.5 deaths/year per 100,000,
or about 11% of the almost 90,000 lung cancer deaths in the
United States in 1975.
                              IV-11

-------
DRAFT5
             These estimates of the contribution of BaP-indexed air
        pollution to lung cancer rates in the 1960s are not sensitive
        to changes in our assumption about BaP levels in the period
        1935-45.  If we had assumed a higher figure for average BaP
        levels in that period, our estimates of adjusted dose-response
        coefficients in the third column of Table IV-1 would have been
        lower, but the multiplier used to derive the estimates in the
        last two columns would have been correspondingly higher.
               Despite the relative stability of these estimates, they
        unfortunately cannot be used to generate reliable estimates
        of the future effects of present air pollution, or even to
        make firm estimates of the contribution of past air pollution
        to current cancer rates.  This is because BaP is not a stable
        index of the carcinogenicity of polluted air.  Although the
        general population exposure to BaP and to other products of
        incomplete combustion has decreased considerably since the
        1950s, it appears unlikely that the carcinogenicity of polluted
        air has decreased in direct proportion.  The fact that BaP
        levels relative to other air pollutants have changed with time
        implies that all the estimates in Table IV-1 are time-dependent,
        and unfortunately cannot be used to predict the future conse-
        quences of present-day air pollution using BaP levels as a
        surrogate for all air pollution.
             Despite these limitations, each of the studies listed
        in Table IV-1 is considered in more detail below.
                                      IV-12

-------
                                                               DRAFT
     Carnow and Meier (1973) estimated the risk of lung cancer

mortality by relating 1960 deaths to 1968 levels of BaP.  Wilson

et al. (1980) reduced this estimate (NAS 1972D) by half to

1.0 death/10^ persons per ng/m^ of BaP.  Wilson cited monitoring

data from 28 sites in 1959, which seemed to indicate that levels

of BaP had declined.  There are few data on levels of BaP before

1966, and it is not possible to establish whether or not Wilson

et al.'s correction was appropriate.  The more complete monitoring

data available from 1966 to 1977 indicate that levels from

1966 to 1969 were steady or slightly increasing (CEQ 1980)

and then declined.  Thus, we do not know whether or not Wilson

et al.'s correction of Carnow and Meier's estimate is the same

as the adjustment we have applied in Table IV-1 to allow for

likely reduction in BaP levels prior to 1959.  For this reason,

either of the two adjusted estimates may be appropriate.

     Pike et al. (1975), assuming a linear relationship between

exposure and carcinogenic response, extrapolated the results

of a study of gas workers by Doll et al. (1965, 1972) to the

general population:

    The carbonization workers were exposed to an estimated
    2,000 ng/nr BP for about 22 percent of the year
    (assuming a 40-hour working week,  2 weeks paid leave,
    1 week sick leave);  very roughly,  the men were exposed
    to the equivalent of 440 (2000 x 0.22)  ng/nr BP
    general air pollution.  This exposure caused an
    extra 160/10  lung cancer cases, so that we may
    estimate, assuming a proportional effect, that each
    ng/nr BP causes 0.4/10b (160/105 divided by 440)
    extra lung cancer cases per year.   A city with 50
    ng/m  BP air pollution might, therefore, have an
    extra 18/10  lung cancer cases per year.  These
    numbers are not negligible, although they are small
    when compared, say, to smoking a pack of cigarettes

    every da*'              (Pike et al. 1975, p. 231)
                            IV-13

-------
DRAFT
         Thus,  based  on the  experience of carbonization workers,  Pike

         et al.  (1975)  estimated the risk of lung cancer mortality as
                      C                 -3
         0.4 deaths/10   persons  per  ng/m° of BaP.

             Wilson  et al.  (1980)  reexamined this estimate by Pike

         et al.  (1975)  and  included  a doubling factor  to correct  for

         the fact that  the  gas workers were not exposed for all of their

         lives,  leading to  an estimate of 0.8 deaths/10  persons  per

         ng/m  BaP.   However, neither Pike et al. (1975)  nor Wilson

         et al.  (1980)  made  any  further adjustment for the fact that

         the gas workers were not all followed up to their deaths.

         Because the  incidence of human lung cancers increases in propor-

         tion to the  4th or  5th  power of age (or duration of exposure)

         the possibility exists  that Pike et al. (1975)  and Wilson et al.

         (1980)  have  underestimated  the full lifetime  cancer risks,

         probably by  a  factor of 3 or more.  For example, comparing

         exposures beginning at  birth, and continuing  for a lifetime

         with industrial exposures beginning at age 20 and assuming

         a  73-year life span, implies a ratio of (73/53)4=3.6).  Thus

         Pike et al.'s  original  estimate may be as low as one-sixth

         or one-seventh of  the appropriate estimates.   However, we have

         not amended  either  estimate to take account of this factor.

             Pike et al.  (1975)  also used the data of Stocks (1957)

         to obtain a  second  estimate.

             Second,  there  should be an increased lung cancer
             rate in  high PAH-polluted areas [25]; the effect
             is magnified in most studies when we consider the
             joint effect of urbanization and cigarette smoking.
             Table 2  presents data [26]  comparing rates in Liver-
             pool to  those  in rural  North Wales.  This study
                                     IV-14

-------
                                                                DRAFT
    by Stocks was done in an area of "stable" air pollu-
    tion.  A fair summary of these data  is that the
    urban effect produces an excess of 28/10  lung cancer
    deaths in nonsmokers and 100/10  such deaths in
    smokers, the latter figure being independent of
    the actual amount smoked.  We might  refer to this
    increase as a modified additive effect.  The differ-
    ence in BP levels in the air between the two areas
    was estimated to be 70 ng/nr (77 ng/nr compared
    to 7 ng/mj); thus, we may very crudely estimate
    the air pollution effect in the presence of cigarette
    smoking at 1.4/105 per ng/m  BP or 0.4/10  per ng/m
    BP in nonsmokers (Table 3).

                                          (at pp. 231-232)

Based on the prevalence of smoking in the United States in

the recent past (i.e., approximately one-third of all adults

are smokers), this estimate leads to a risk of lung cancer

mortality of 0.8 deaths/10  persons per  ng/m3 of BaP.  (If

based on earlier smoking habits, this estimate would be higher;

Wilson et al. (1980) listed this estimate as 1 death/105 persons,

possibly because it was based on past smoking habits.)  This

estimate may be low, if, as appears likely, the estimated average

difference in BaP levels between urban and rural areas is great.

     Pike and Henderson (1981) estimated the quantitative rela-

tionship between lung cancer risks and exposure to cigarette

smoke (data from various sources),  coke  oven emissions (data

from Lloyd 1971 and Redmond et al.  1972), and hot pitch fumes

(data from Hammond et al.  1976).  They calculated that exposure

to about 15 ng/m3 BaP could be equated to smoking 1 cigarette/day,

and hence estimated the "single cause lifetime risk" of lung

cancer to age 70 resulting from ambient  air exposure to 1 ng/m

BaP as 73x10  .   This corresponds to an  age-standardized lung

cancer rate of about 0.8x10   deaths/year per ng/m  BaP.
                              IV-15

-------
     Carnow (1978) suggested a number of factors that may have

led Pike et al. (1975) to an underestimation of risk.  Albhough

Pike et al.'s estimates of the risk of lung cancer mortality

may be low, it is likely that the ratio of 3.5 in risk between

smokers and nonsmokers (1.4/0.4 = 3.5) is reliable, although,

3.5 is lower than the usual estimates of the relative risks

of smokers.  The difference (3.5) was reported by Wilson et

al. (1980) to be statistically significant.  This difference,

plus some reasonable assumptions, permits estimation of the

average risk to the general population from data on males alone

(see Appendix D).  The general population excess is about 82%

of the male excess.

     Based on extensive regression analyses of lung cancer

mortality and air pollution levels, Lave and Seskin  (1977)

suggested that

    ... if the quality of air of all boroughs  (England)
    were improved to that of the borough with  the best
    air, the rate of death from lung cancer would fall
    by between 11 and 44 percent.

This corresponds to 4.4-17.6 deaths/10  persons at British

levels of pollution (assumed to be 3.5 ng/m  of BaP) or 1..3-

5.0 deaths/10  persons per ng/m  of BaP.

     Doll  (1978) estimated that the risk of lung cancer mortality

attributable to urban air pollution in Europe  was no more than

10 deaths per 10^ smokers and no more than 5 deaths per 10  non-

smokers.  Based on current U.S. smoking habits, this estimate

corresponds to 6.7 deaths/10  persons or 1.9 deaths/10"' persons

per ng/m  taking average levels of BaP to be 3.5 ng/m   in Europe.
                              IV-16

-------
                                                              DRAFT
Doll (1978), however, provided data to indicate that levels

of BaP ranged much higher than 3.5 ng/m  in highly urban areas

of Britain.   Doll (1978) also estimated the attributable risk

in smokers to be twice the risk in nonsmokers, which is lower

than the 3.5-fold ratio derived by Pike et al. (1975).  However,

it is not possible to ascertain whether the former is too high

or the latter is too low since the ratio cited by Doll (1978)

was a personal estimate of the author and not based on any

specific calculation or data.  No data were cited to support

Doll's estimates of attributable risk.

     Cederlof et al.  (1978), summarizing the conclusions of a

conference on air pollution and long-term health effects, stated:

    Combustion products of fossil fuels in ambient air,
    probably acting together with cigarette smoke, have
    been responsible for cases of lung cancer in large
    urban areas, the numbers produced being of the order
    of 5-10 cases per 100,000 males per year [European
    standard population].  The actual rate will vary
    from place to place and from time to time, depending
    on local conditions over the previous few decades.  (at p.9)

This estimate was a synthesis of material presented at a con-

ference, and the basis for it was not provided in detail.

Taking the risk to the general population as 82% of the risk

to males (see Appendix D) and average European levels of BaP

as 3.5 ng/m-*, this estimate corresponds to 1.2-2.4 deaths/10

persons per ng/m  BaP.

     The Carcinogen Assessment Group  (CAG 1978) of the Environ-

mental Protection Agency reviewed a number of epidemiological

and animal studies in an attempt to estimate the "excess lung

cancer incidence" resulting from lifetime exposure to polycyclic
                              IV-17

-------
DRAFT
      organic compounds.  For their overall estimate, CAG  (1978)

      took the geometric mean of the estimates derived from four

      epidemiologic studies.  (Using the geometric mean produces

      lower estimates than using the arithmetic mean.  If  risk is

      linearly related to exposure, the arithmetic mean is more appro-

      priate.)  This overall estimate was expressed as 0.28% excess

      lung cancer "incidence" (a slight misnomer since all the studies

      were mortality studies) per ng/m  of BaP.  As a percentage,

      this estimate is a ratio of the estimated excess lung cancer

      mortality rate to the background rate.  This would correspond

      to about 0.11 deaths/10  persons per ng/m3 BaP.

           By expressing the estimate in this way, CAG (1978) assumed

      that the effect of exposure to each ng/m  of BaP is  dependent

      on the background rate of lung cancer mortality in the exposed

      population.  This means that if the background rate  is high,

      the effect would be large, but if the background rate were

      low, there would be little or no effect.  It is reasonable
                                      /
      to expect that the magnitude of the effect attributable to

      BaP will vary as a function of the presence or absence of sub-

      stances  (such as cigarette smoke or other carcinogenic air

      pollutants) that interact with BaP in the induction  of cancer.

      However, it is not clear why this variation should otherwise

      depend on the background mortality rate of lung cancer.

           In 1982, CAG  (1982) updated one of the 1978 estimates.

      Reviewing the results of epidemiological studies of  workers

      exposed to coke oven emissions, they estimated that  the unit
                                    IV-18

-------
                                                                DRAFT
risk (for males) of dying from lung cancer as a result of a
                                                _c         3
working lifetime of exposure to BaP is 9.25 x 10   per ng/m
                                                      «. t:
of BaP.  This corresponds to a rate of about 0.14 x 10 3 deaths/year
per ng/mg  of BaP.  However, this estimate is not comparable with
some others in Table IV-1, because it was calculated exclusively
for exposure to products of incomplete combustion (as indexed
by BaP), whereas others were calculated for air pollution (as
indexed by BaP) with other pollutants assumed to be present
in proportion to the BaP values.  The latter type of calculation
includes the effect of compounds of air pollution other than
products of incomplete combustion (such as asbestos and synthetic
organic chemicals), whereas CAG's 1982 estimate does not.
CAG's 1978 estimate appears to have included and averaged esti-
mates of both types.
     Wilson et al.  (1980) derived an estimate of lung cancer
mortality of 0.2 x 10  per ng/m  BaP using the data of Hammond
et al.  (1976)  on a group of roofers and waterproofers working
with pitch and asphalt.  The estimate appears to be too low,
primarily because the comparison group was made up of other
members of the workers' own trade union, and this would tend
to underestimate the risk if other members of the trade union
were already at increased risk of lung cancer, as seems likely
from other occupational studies.
     The estimates made by Carnow and Meier (1973) ,  Pike et
al. (1975), Hammond et al. (1976), CAG (1978), and some animal
studies of benzo[ajpyrene, assembled by Wilson et al. (1980)
                              IV-19

-------
DRAFT
         indicated that the effect of BaP in the animal studies is much
         less than the "enhanced" effect attributable to BaP from occupa-
         tional or urban epidemiological studies.  The arithmetic mean
         of the estimates from the epidemiological studies led Wilson
         et al. (1980) to what they called a "best estimate," of 0.5
         deaths/10  persons per ng/m  of BaP.  There are several problems
         with this "best" estimate, not least of which was that sevesral
         of the separate estimates (Carnow and Meier 1973, Pike et al. 1975,
         and Hammond et al. 1976) appear to have entered Wilson's calcula-
         tions more than once.
              The estimates derived by CAG (1978) differ from those made
         by Wilson et al.  (1980)  (in their Table 5-4) from the same
         studies.  For example, Wilson et al. (1980) estimated the Carnow
         and Meier (1973) respcr.je coefficient as 1.0 death/10  persons
         per ng/m  of benzo[a]pyrene.  CAG (1978) reduced this estimate
         to less than one-tenth of the figure estimated by Wilson et
         al. (1980).  Also, as indicated earlier, the estimate of Pike
         et al. (1975) based on the data of Doll et al. (1965, 1972)
         was modified by Wilson et al. (1980) to 0.8 deaths/10  persons
         per ng/m  of BaP.  In the CAG (1978) analysis, this figure
         was given as 0.57 deaths/10  persons per ng/m  of BaP (160/10
         divided by 283 ng/m  of BaP) and then converted to a percentage
         by dividing by an anomalously high background rate of lung
         cancer mortality  (0.57/1Q5 divided by 200/105=0.285%).  This
         final CAG estimate is close to CAG's overall figure of 0.28%
         and converted to 0.12 deaths/10  persons by Wilson et al.  (1980)
                                       IV-20

-------
                                                               DRAFT
(0.28% x 40 deaths/105 persons = 0.11/105).  (Note that Wilson

et al. used a background rate of 40/10  persons, while CAG

used a background rate of 200/10  persons—a five-fold differ-

ence.  The age-adjusted mortality rate in the United States

for all respiratory cancers—i.e., lung cancer plus others—

was 45.9/105 persons in 1979.)

     The last estimate listed in Table IV-1 was developed for

this report and takes account of criticisms and suggestions

made concerning earlier estimates (Clement 1981, Karch and

Schneiderman 1981).   The detailed derivation of this estimate

is given in Appendix E.  The estimate follows from the lung

cancer mortality data of Hammond and Garfinkel  (1980)  as reas-

sembled by Goldsmith (1980), standardized for age and smoking,

stratified by occupational exposure and location of residence.

These data show significant effects of urban residence and

occupational exposure independently,  and.we calculate an attrib-

utable risk of 13% for occupationally exposed and 12% for non-

exposed categories.   It is likely that these figures are biased

downwards (possibly by factors between 1.4 and 3.3, as discussed
 Both Hammond and Garfinkel (1980)  and Goldsmith (1980) expressed
 the opinion that these data did not show a convincing effect
 attributable to air pollution.  However, neither set of authors
 analyzed the data in the way presented here (in Appendix E)
 to test the effect of urban residence.  Hammond and Garfinkel
 (1980) reported no statistical association between lung cancer
 rates in the 1960s and measures of air pollution that were made
 in 1968.  They apparently assumed that no change in pollution
 (relative or absolute) had taken place between the 1940s—when
 the cancer cases that appeared in the 1960s were initiated—
 and 1968 when their two air pollution measures were made.
                              IV-21

-------
DRAFT
        on p. E-8) because of selection bias in the study population.
        The population studied by Hammond and Garfinkel was more suburban,
        higher percentage white, lower percentage blue collar, more
        educated than the U.S. population as a whole.  However, no
        attempt is made to correct for this bias here.,

        D.  Summary
             This chapter summarizes attempts to estimate the possible
        magnitude of the association between lung cancer mortality
        rates and air pollution levels.  The index of air pollution
        most commonly used has been the average atmospheric concentration
        of benzo(a)pyrene (BaP).  Using this index, however, creates
        problems because average levels of BaP in the United States
        have declined considerably since 1966 and probably were still
        higher prior to 1966.  However, it is not clear that overall
        hazards posed by air pollution should have declined proportion-
        ately, because there is evidence that levels of other potential
        carcinogens have increased since 1940.  BaP is thus no longer
        a stable index of the carcinogenicity of polluted air, and
        estimates made for one time period cannot be applied directly
        to others.  Thus, the estimates based on study of lung cancers
        in the past cannot be used directly to predict future effects
        of current pollution.
             Recognizing this problem, Table IV-1 tabulates 13 estimates
        (but not based on 13 independent studies) of the quantitative
        relationship between lung cancer rates and air pollution levels
        as indexed by BaP concentrations.  Estimated slopes (regression
                                      IV-22

-------
                                                              DRAFT
coefficients) of this relationship range from 0.1-5.0 x 10
lung cancer deaths/year per ng/m  BaP.  Some of these figures
should probably be adjusted downwards by factors of 2 to 4 to
take account of the likely reduction in BaP levels since the
1930s and 1940s when most effective exposures took place.
The estimates derived from studies in the general population
(0.8-5.0 x 10~5) are significantly higher than those derived
from studies of workers exposed to products of incomplete combus-
tion (0.11-0.8 x 10~5).  This difference suggests that incomplete
combustion products are associated with only part of the excess
lung cancer rates observed in urban areas.  Most of the studies
were based on lung cancer mortality data from the 1960s, and
the results are consistent with the hypothesis that at that
time factors responsible for the urban excess in lung cancer
were associated with about 11% of lung cancers in the United
States.  In the one study in which both cigarette smoking and
potential industrial exposure could be accounted for, this
estimate was about 17%.  These quantitative estimates can be
derived without resolution of the issue whether the unexplained
urban excess of lung cancer can or cannot be attributed confi-
dently to air pollution, which depends on interpretation of
data summarized in Chapter II.
                              IV-23

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                                                             OR/5
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DRAFT
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                                                              DRAFT
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                               37

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                                                               DRAFT
                           APPENDIX A

                           TABLE II-l.

            Urban-Rural and Other Geographic Studies
                  of Cancer:  Code to Comments
a.   Limited information on types,  duration,  and intensity
     of exposure

b.   SmoKing habits not taKen into account in design or  analysis

c.   Occupational exposures not taKen into account in design
     or analysis

d.   No information on socioeconomic variables

e.   Dilution effect occurs due to migration

f.   Dilution effect occurs due to labelling  all residents
     of certain geographic areas as "exposed" or "not exposed"

g.   Cause of death as recorded on death certificate may be
     inaccurate

h.   SMR may be biased when numerators (counts of death)  are
     based on death certificates and denominators (population
     counts) on census data
                               A-l

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-------
                                                                DRAFT
                            APPENDIX  C
        CALCULATION OF THE AGE-ADJUSTED LUNG CANCER RATES
              IN  MALES  AND IN  THE  GENERAL  POPULATION
     According to the U.S. Bureau of the Census  (1980), the

proportion of whites in the U.S. population in 1975 was 86.9%,

and for blacks the proportion was 11.5%, with 1.6% unclassified,

The proportion of males was 48.7%, and 51.3% of the population

was female.  Pollack and Horm (1980) provided sex-specific

rates of lung cancer mortality per 10  persons, age adjusted

to the 1970 U.S. population, which are:


                        Males          Females

         Whites         64.8             15.5

         Blacks         80.5             15.2


So for the male population, the rate of lung cancer mortality

per 10  persons is:


         (64.8) (.869) + (80.5) (.115)
                                       = 67
                    (.984)


For the general population, it is:


(.487)[(64.8)(.869)+(80.5)(.115)]+(.513)[(15.5)(.869)+(15.2)(.115)]


                                (.984)

= 40
                               C-l

-------
                                                              DRAFT
                            APPENDIX D
            CALCULATION OF THE RISK OF LUNG CANCER TO
   THE GENERAL POPULATION AS A PROPORTION OF THE RISK TO MALES
     The risk of lung cancer mortality per ng/m  of benzola]-
pyrene estimated by Pike et al.  (1975) based on the data of Stocks
(1958) is 1.4 deaths/10  persons among smokers and 0.4 deaths/10
persons among nonsmokers.  As discussed in Chapter II, the
magnitude of these risks per unit exposure are likely to be
underestimated, but the relative difference in risk of 3.5
(1.4/0.4) is probably reliable and is reported by Wilson et
al.  (1980) as statistically significant.  Because a number
of estimates were made for the risk of lung cancer mortality
among males .only, it was necessary to derive the risk to the
general population as a function of risk in males.
     DHEW (1979) provided data on smoking habits in men and
women in 1977:  40% of men and 30% of women are smokers.  (This
represents a decline in previous smoking habits.)   The recent
data of Hammond and Seidman (1980)  indicate that the relative
risk of lung cancer mortality among smokers is 8.53 in men
and 3.58 in women.   We assume that the excess risk from air
pollution is proportionately the same (8.53/3.58 = 2.4).  So
if the relative risk among male smokers is 3.5, the risk in
females will be 2.05 (1 * 1/2.4 x 2.5); we assume that the
risk among nonsmokers is the same in males and females (i.e.,
1.0).  From the census data (U.S. Bureau of the Census 1980),
                               D-l

-------
DRAFT
       the fraction of the population that is male is 0.487, and the



       fraction of the population that is female is 0.513.  Thus,







                (0.487)  1(3.5)  (0.4)  + (1) (0.6)]  +



                (0.513)  [(2.05)  (0.3)  + (1)  (0.7)]   =  1.65







       The relative risk among all males is 2.0, and the relative



       risk in the general population is 82.4% of the risk in males



       (1.65/2.0).
                                      D-2

-------
                            APPENDIX E
           DERIVATION OF AN ESTIMATE OF THE PROPORTION
      OF LUNG CANCERS ASSOCIATED WITH THE URBAN ENVIRONMENT
     In this Appendix, we derive an estimate of the proportion
of lung cancers associated with the urban environment.  Earlier
versions of this calculation were included in our previous
reports (Clement 1981, Karch and Schneiderman 1981), but these
have been modified to taKe into account criticisms of these
earlier versions and suggestions by CAG (1982) and other corn-
mentors.
     Our estimate is derived from a study by Hammond and GarfinKel
(1980), together with additional information from the same
study presented by Goldsmith (1980).  The data in these papers
were standardized for age and smoKing habits, and included
information on  (self-reported)  occupational exposure.  (The
authors, however, did not give details of how the "corrections"
were made, or of the age distribution and smoKing habits of
their standard population).  Although the data presented by
Hammond and GarfinKel (1980) were not fully described or given
in the 1980 paper, they were clearly derived from data obtained
in a survey sponsored by the American Cancer Society (ACS)
from 1959 to 1965 (Hammond 1972) .  (Table 1 in Hammond and
GarfinKel 1980 is identical to Table 5 in Hammond 1972.)
     We used these data as reassembled in another recent paper
by Goldsmith (1980).  One can compare lung cancer mortality
                               E-l

-------
DRAFT
       rates among  men between  urban  and  nonurban  areas  as Goldsmith
       did by combining some  groups to  form  three  categories:   "metropo-
       litan areas  of  greater than one  million," "other  non-rural
       places,"  and "non-metropolitan rural  areas."  The results of
       Goldsmith's  (1980)  reassembly  are  found  in  Table  E-l.  These
       data are  plotted in Figure II-2  (above,  p.  11-82)  and  show
       a trend for  increasing cancer  mortality  with  greater urbanization
       in both occupationally exposed and nonexposed persons, after
       correction for  smoxing.   The use of three residence or exposure
       categories in this  sort  of study has  been questioned,  but is
       apparently common practice.  See,  for example,  Hitosugi  (1968)
       and Vena  (1982)  who used similar categories.
            These results  provide a measure  of  the risK  of death from
       lung cancer  among males  that is  attributable  to an urban effect,
       by contrasting  the  urban and the rural areas  (i.e., by combining
       the first two categories in Table  E-l to compare  with  the third).
       These risK ratios derived for  the  ACS population  can be  weighted
       according to the proportion of the U.S.  population in  each
       category  in 1970 (U.S. Bureau  of the  Census 1980). The  attrib-
       utable risK  for an  urban effect  can then be computed.
            This computation  is illustrated  in  Tables  E-2 and E-3.
       The residual urban  effect, after correcting for smoKing, is
       about 13% for both  the occupationally exposed group of men
       and 12% for  the nonoccupationally  exposed group of men.  This
       corresponds  to a previously computed  risK of  8.2  lung  cancer
                                      E-2

-------
                                                             DRAFT
                            TABLE E-l
       LUNG CANCER DEATHS AMONG MEN BY PLACE OF RESIDENCE

     AND  OCCUPATIONAL EXPOSURES—SMOKING ADJUSTED—1959-1965*
              Occupationally Exposed       	Not Exposed	

             Observed  Expected  Ratio     Observed  Expected  Ratio


TOTAL             576   530.5    1.09        934      979.7    0.96

                                 Chi sq.=6.03, p<0.02

Metropolitan
 area city  .       92    69.1    1.33        168      158.3    1.06
(1,000,000+)

Other non-rural
 places           341   315.3    1.08        584      607      0.96

Nonmetropolitan
 rural areas      143   146.1    0.98        182      214.4    0.85

                     Chi sq. = 9.75, p<0.01    Chi sq. = 6.4, p<0.05

SOURCE:Goldsmith (1980), Table 7; Hammond (1972)

*The observed and expected number of lung cancer deaths listed
by place of residence and by occupational exposure (to dust,
fumes, gases, or X-rays),  and adjusted for age and smoKing
habits, is confined to men who had lived in the same neighbor-
hoods for more than 10 years.  The subjects were among a pop-
ulation of 1,064,004 men and women studied by the American
Cancer Society (Hammond 1972).
                               E-3

-------
DRAFT
                                   TABLE  E-2

                RELATIVE RISKS IN MEN OF LUNG CANCER MORTALITY
                         (ADJUSTED FOR AGE AND SMOKING)
                    BY RESIDENCE AND OCCUPATIONAL CATEGORY

            Derived by Comparing  Residents  of  Metropolitan Counties
         and Urban Sections of  Nonmetropolitan Counties  with  Residents
        of  Rural  Sections of Nonmetropolitan Counties (25-State Study,
       Confined to Men Residing in Same Neighborhood for Last 10 Years)
                                             Occupationally
                                                Exposed*
                 Not
            Occupationally
               Exposed*
       Metropolitan Counties

          Greater than 1 million residents
          Less than 1 million residents

       Nonmetropolitan Counties

          Urban
          Rural

       Weighted Relative RisK, Urban**
       (U.S. population 1970)

       Overall Weighted Relative RisK***
1.26
1.17
0.99
1.00
1.19
1.16
1.14
1.18
1.00
1.16
        1.17
       SOURCE:  Adapted from Hammond and GarfinKel (1980),  Table 1,  p.  208

         *To dust, fumes, gases, or X-rays

        **Relative risK of lung cancer mortality in metropolitan counties
       and urban sections of nonmetropolitan counties (weighted according
       to population data from U.S Bureau of the Census  1980)

       ***Weighted by the proportion of men in occupationally-exposed
       and nonexposed categories in study population of  Hammond and
       GarfinKel  (1980)
                                      E-4

-------
                                                              DRAFT
     Second, the aggregation of the data into three broad res-
idence categories by Goldsmith (1980) and subsequently into
two categories in Table E-2 may have obscured some differences.
Although Hammond and GarfinKel (1980) presented data for more
residence categories, these were aggregated by Goldsmith, and
it was not possible to use the disaggregated data because Hammond
and GarfinKel's residence categories cannot be matched to data
from the U.S. Census.  In the absence of specific reasons to
suspect bias, aggregation of data is generally expected to
result in the reduction or masKing of associations by pooling
individuals with greater and lesser exposure within each cat-
egory.
     Third, the study population in the ACS survey, although
it contained many residents of large urban areas, is not liKely
to have been representative of the entire U.S. population (cf.
Sterling 1975).  It had a different age distribution and included
more white-collar worKers, higher educational levels, and a
higher socioeconomic class on the average than did the general
U.S. population.  Thus, the proportion of occupationally exposed,
which was classified on the basis of self-reported exposure
to "dust, fumes, vapors, gases, or X-rays" (Hammond and GarfinKel
1980, p. 4) may be underestimated, and the proportion living
in urban areas with the highest air pollution levels (i.e.,
residents of inner cities)- may also be underestimated.
     Several attempts have been made to estimate the possible
magnitude and consequences of this selection bias.  Karch and
                               E-7

-------
Schneiderman (1981) suggested that the attributable risK from
urban residence (unexplained urban effect)  might have been
underestimated by a factor of about 2.1: this estimate was
based on a comparison of the data of Hammond and GarfinKel
(1980) with those of Haenszel and Taueber (1962).  Doll and
Peto  (1981) suggested that the selection bias in the ACS study
had led to underestimation of the effects of alcohol by a factor
of about 2 (footnote c to Table 11), and to underestimation
of the effects of occupation by a factor of about 3.3 (p. 1244).
CAG (1982) matched data on social stratification of the ACS
population to data on the relationship between exposure to
BaP and socioeconomic stratification, and suggested that the
ACS population would have been exposed to average levels of
BaP only 70% of the U.S. average.  Although all these estimates
are somewhat speculative, the consensus view is that selection
bias  in the ACS study is liKely to have reduced the apparent.
magnitude of these risK factors by factors between 1.44 and 3.3.
     Strictly, our estimates of attributable risK in Table E-3
are estimates of the "unexplained urban effect "—i.e., the
fraction of the excess urban lung cancer rate that is not ex-
plained by standardization for recorded differences in smoning
and occupation.  In principle, this "unexplained urban effect"
might include contributions from other factors  (such as unrecorded
aspects of smoKing behavior) as well as from air pollution.
However, in the remainder of this Appendix we will use our
estimates as a measure of the effects of air pollution.  In
                               E-8

-------
                                                              DRAF
the absence of reliable data on air pollution levels at the
appropriate period in the 1930s and 1940s, we will relate the
excess cancer mortality in the 1960s to the level of 3.5 ng/m3
BaP characteristic of U.S. population exposure in the early
1960s (see CEQ 1980, and discussion in the text).  (This pro-
cedure, although questionable, is similar to that used for
other estimates tabulated in Table IV-1, and its consequences
are discussed in the text.).  Using CAG's (1982) estimate that
the ACS population was exposed to an average level of BaP only
0.70 times the U.S. average, we estimate the average exposure
of the ACS population to be about 2.5 ng/m  BaP.
     Related to an average exposure to air pollution character-
ized by 2.5 mg/m  BaP, an estimate of 5.5 deaths/10^ persons/year
corresponds to a dose-response coefficient of 2.2 deaths/10
persons per ng/m  BaP.  This is the figure included in Table IV-1.
                               E-9

-------
                                                          DRAFi
                            APPENDIX F
                 TIME TRENDS IN LUNG CANCER RATES

     In principle, changes  in mortality and incidence rates
with time can provide clues as to the causes of disease.  Changes
in exposure to a causative  agent should, after appropriate
latent periods, be followed by changes in incidence and mortality
of the disease in the exposed cohorts.  Thus trends in age-
and sex-specific incidence  and mortality rates can provide
supporting evidence  for the existence of an association that
is hypothesized for  other reasons.  Likewise, observed trends
that are not consistent with an hypothesized association may
provide substantial  evidence against the hypothesis—or at
least indicate that  another causative factor is involved.
     To test the hypothesis that air pollution plays a role
in the etiology of cancer,  it would be desirable to compare
age- and sex-specific trends in cancer rates to earlier trends
in exposure to air pollution.  However, as explained in Section
II.D.2.d of this report, there is insufficient evidence in
trends in exposure to make specific predictions, since downward
trends in the ambient concentrations of some air pollutants
have been offset by upward trends in others.  However, data
on trends in cancer rates are of some importance in considering
one specific issue.  Doll and Peto  (1981)  presented arguments
that available data on trends in lung cancer rates could be
adequately explained by the available information on changes
                               F-l

-------
in smoking habits, without the necessity for invoking other
causative factors.  This conflicts with an earlier conclusion
by Schneiderman (1978).  In this appendix we review data bearing
on this dispute, including more recent analytical studies by
Manton (1982) and Janis (1982).  This review is necessarily
limited to lung cancer, because there are insufficient data
on the contribution of smoking to cancers at other sites.
     Examination of the data on cancer deaths in the United
States for the last 30 years reveals a steady increase in the
overall age-adjusted mortality rate  (USDHEW 1980).  Incidence
rates have also increased, although not as consistently.  Between
the First National Cancer Survey in 1937-39 and the Second
National Cancer Survey in 1947-48 (Dorn and Cutler 1959), the
overall age-adjusted incidence rate for cancers at all sites
rose by approximately 11%.  Subsequently, between the Second
National Cancer Survey and the Third National Cancer Survey
in 1969-71 (Cutler and Young 1975), the age-adjusted incidence
rate declined by 4%.  In analyzing data from the Third National
Cancer Survey and the NCI Surveillance, Epidemiology, and End
Results (SEER) program (Young et al. 1978), Pollack and Horm
(1980) concluded that, between 1970  (average of 1969-71) and
1976, the overall age-adjusted cancer incidence rate was again
rising.  They found an increase of approximately 10% during
that 5-year period.  Because age-specific trends in cancer
are not constant across all ages  (i.e., decline in youngest
                               F-2

-------
                                                           DRAFT
age groups and increase in older groups), it is important to
examine age-specific rates separately.
     There is evidence that the Third National Cancer Survey
produced inconsistent estimates for the 3 years 1969-1971;
1969 appears to have included some prevalence cases, i.e.,
cases diagnosed earlier than 1969, and 1971  (the last year
of the survey) may have been under-reported.  Pollack (1980)
has since reported incidence data derived completely from the
SEER program for 1973-1977, which should be free of these poss-
ible flaws.  The SEER data show increases in total  (age-adjusted)
cancer incidence of 6.8% in white males, 3.8% in white females,
3.4% in black males, and 2.4% in black females during the 4-year
period.
     A major portion of the increase in cancer mortality and
incidence rates is due to an increase in lung cancer.  This
increase in lung cancer is a general phenomenon in  industrial
countries.  Increases in cancer of the respiratory  tract are
appropriately attributed largely to cigarette smoking, and
secondarily to occupational exposure, environmental pollution,
or other sources.
     In England and Wales, for example, there was a 10-fold
increase in death rates from lung cancer from 1901  to 1930
and an additional 10-fold increase from 1930 to 1960 (Katz
1964).  In Canada, the male death rate from lung cancer increased
from 3.0 per 100,000 in 1930 to 24.6 per 100,000 in the 1960
population (Katz 1964).  In Switzerland, a 32-fold  increase
                               F-3

-------
DRAFT
     occurred between 1900 and 1952 (Cleary 1963).   From 1933 to
     1960, the annual lung cancer death rate in Australia increased
     from 3.15 per 100,000 to 28.9 per 100,000 for  males and from
     2.02 per 100,000 to 4.2 per 100,000 for females (Cleary 1963).
          In the United States, the lung cancer mortality rate for
     males has increased more than 25-fold in 45 years and is now
     increasing even more rapidly for women (NCHS 1980).  During
     the period between the Second National Cancer  Survey and the
     Third National Cancer Survey (1947-1970), the  incidence of
     lung cancer more than doubled in men and women, and in blacks
     and whites (Dorn and Cutler 1959, Cutler and Young 1975).
     Rates for black males have increased more rapidly than for
     white males.   Projections for 1981 are 122,000 new cases of
     lung cancer and 105,000 deaths (ACS 1980).
          A comprehensive study of lung cancer in Western Europe
     was made in 1969 by the World Health Organization (WHO) Working
     Party on Cancer Statistics.  The study revealed that over the
     previous 10 years, lung cancer mortality had increased by 8%
     for males and 3.1% for females.  The conclusion was that the
     observed increase in lung cancer death rates was real and not
     an artifact of better diagnosis or reporting or of longer life
     span.
          In West  Germany, lung cancer deaths increased from 6,296
     in 1952 to 15,000 in 1965.  According to Wagner (1971)  during
     this period there was no significant change in efficiency of
     diagnosis or  reporting.  To determine whether  increases in
                                    F-4

-------
lung cancer  (in Denmark) were real or due to more  accurate
diagnosis, X-rays taken during the course of examinations for
detection of pulmonary tuberculosis were reexamined.  The X-rays
did not reveal many misdiagnosed cancers, and  it was concluded
that a true  increase in lung cancer incidence  had  occurred
(WHO 1969).
     There is considerable disagreement over the full set of
reasons for  these increasing rates.  Both direct industrial
exposure and air pollution levels have been suggested as contri-
buting to the increases—as well as cigarette  smoking (Davis
and Magee 1981).  Doll and Peto  (1981) compared age-specific
lung cancer mortality in England and Wales with lung cancer
mortality in the United States, relating each  to cigarette
smoking (their tables E5 and text Figure E4, summarized here
in Table F-l).  From about 1900 to 1920, British cigarette
sales were higher (per capita older than 15) than  U.S. sales
(per capita older than 18).  From 1920 to 1940, U.S. and British
sales were almost equivalent; from roughly 1942 on, U.S. sales
have been substantially higher than in Great Britain.  In the
youngest age groups (30-34 and 35-39), mortality per million
men in 1978 was almost identical in the two countries.  This
appears to be inconsistent with the substantially  greater number
of cigarettes consumed after 1940 by U.S. men  if cigarette
smoking were the sole cause.  For the age groups 40-44 and
45-49, U.S.  mortality in 1978 was 25-40% higher than in Great
Britain.   For men older than 55, the mortality rates in Great
                               F-5

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Britain in 1978 were substantially higher, despite the fact
that average numbers of cigarettes smoked were roughly equal
at the time these men started smoking.  The Doll and Peto tabu-
lation ends at age 69.  In the United States, the greatest
increases in lung cancer mortality between 1968 and 1978 were
in men aged 75-84 (Davis et al. 1982).
     Two possible explanations for these inconsistent results
suggest themselves:  (1) other characteristics of smoking,
such as the age at starting, are  (or were) substantially lower
in Great Britain than in the United States, and/or (2) other
things in the environment (e.g.,  industrial exposure, air pol-
lution) led to higher rates in Great Britain despite lower
smoking levels than in the United States.
     There is at least one other way of looking at the time-
trend  (cohort) data.  The U.S. Surgeon General, in his report
entitled Health Consequences of Smoking (1982, pp. 51, 53,
and p. 56-57), has reported smoking data by year of birth (in
10-year intervals—e.g., 1901-1910) and cancer mortality for
age-specific groups (e.g., 30-34, 35-39, etc.).  From these
data it is possible to find birth cohorts with similar cigarette
smoking patterns and then to compare their lung cancer mortal-
ities at specific ages.  (See Figures F-l, F-2, and F-3, derived
from Figures 12, 14, and 16 of that report.)  For example,
for men born between 1901 and 1910, 62% was the maximum that
ever smoked.  The next cohort with a similar maximum was the
group born between 1931 and 1940.  The median age of starting
                               F-7

-------
DRAFT
                                   FIGURE F-l

                CHANGES IN THE PREVALENCE OF CIGARETTE SMOKING
               AMONG SUCCESSIVE BIRTH COHORTS OF MEN, 1900-1978
                                    «2i-30
                           MEN
                                                         1941-50
                                                         1951-60
                     1900 1910  820  1930  1940 850  I960  870  i960

                                     YEAR
      Note:   Calculated from the results of over  13,000  interviews
              conducted during the last two quarters  of 1978,  provided
              by the Division of Health Interview  Statistics,  U.S.
              National Center for Health Statistics

      SOURCE:  USDHHS 1982
                                      F-8

-------
                                                               DRAFT
                            FIGURE F-2

          CHANGES IN THE PREVALENCE OP CIGARETTE  SMOKING
        AMONG SUCCESSIVE BIRTH COHORTS OF WOMEN,  1900-1978
                     WOMEN
                                       631-40
                800  eo  «ao  ex  1940  «o  eeo  STD  sao
                                                  1951-60
                                                1941-50
Note:  Calculated from  the  results  of  over 13,000 interviews
       conducted during the last  two quarters of 1978,  provided
       by the Division of Health  Interview Statistics,  U.S.
       National Center  for  Health Statistics

SOURCE:  USDHHS 1982
                               F-9

-------
DRAFT
                                     FIGURE F-3

                 MORTALITY RATES FOR MALIGNANT NEOPLASMS OF  THE
          TRACHEA, BRONCHUS, AND  LUNG, FOR WHITE MEN AND WHITE WOMEN,
                BY BIRTH COHORT AND AGE AT  DEATH,  UNITED STATES,
                         5-YEAR INTERVALS  DURING 1947-1977
       1*00

       •BO
       MOO
       •000

       MOO

       4000
        JOOO -
        1000
        too
        no
        TOO
        •00
        100
        JO.O
     •
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        10
        JO
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        OJ
           J	I	II	I
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                    OIHTMCOMMT
                                  loooo
                                   •ODD
                                   MOO
                                   MOO
                                   •000
                                   woo

                                   4000
                                   woo
                                   too
                                   no
                                   10.0
                                   •DO
                                   HO
                                   100
                                   IO
                                   •o
                                   7O
                                   •O
                                   to

                                   4O
                                                  10 -
                                                  M -
                                                  «4
                                                              •MITE WOMCN
                                                     I  I   I  I  I  I  I  I J  I  I  I	I
                                       S  S  i  S  I  §  I i i I I i I
                                       I  I  I  I  i  M i I i § M
                                                              •UtTHCOHMT
       Note
Calculated  from the results  of  over 13,000  interviews
conducted during the last two quarters of 1978,  provided
by the Division of Health Interview Statistics,  U.S.
National Center for Health Statistics
       SOURCE:   USDHHS 1982
                                       F-10

-------
                                                              DRAFT
to smoke was about 17 for the 1901-1910 men, and about 16 for



the 1931-1940 cohort.  The lung cancer mortality rates for



men aged 40-44 years born in 1931-1940 were almost double the



rates for men born 1901-1910, whose smoking patterns were similar,



For women the comparable smoking cohorts are 1921-1930 and



1931-1940, separated by only 10 years.  The second (more recent)



cohort of women has a 25-60% higher lung cancer mortality rate



at comparable ages (30-44);  a 25% increase in 10 years is equiva-



lent to a doubling in 30 years:  (1.25)3 = 1.95.



     Table F-2 gives the smoking data for men.  Similar data



for women can be derived from the Figures F-l, F-2, and F-3



from the Surgeon General's report.







                          TABLE F-2



                SMOKING HISTORY:  U.S. MALES

Decade of
Birth
(mid-year)
(1)
1891-1900 (1895)
1901-1910 (1905)
1911-1920 (1915)
1921-1930 (1925)
1931-1940 (1935)
1941-1950 (1945)
1951-1960 (1955)

Maximum
Percent
Smoking
(2)
47
62
72
70
61
58
Possibly


Year of
Maximum
(3)
1924
1938
1946
1952
1962
1968
not yet

Year of
50% of
Maximum*
(4)
1913
1922
1933
1942
1951
1961
reached
Median Age
Beginning
to Smoke
(4)-(l)
(5)
18
17
18
17
16
16
Inappropriate
*Year of median starting to smoke
                              F-ll

-------
DRAFT
             Calculations attributing increases in lung cancer to a
        single cause, such as smoking, ignore the multicausal nature
        of carcinogenesis and possible interactions with air pollution
        or other factors.  Although there is little doubt that cigarette
        smoking has played a major causative role in the increase in
        lung cancer, not all lung cancer, even among those who smoke,
        can be attributed solely to cigarettes.
             The discrepancy noted between the trends in lung cancer
        mortality rates for U.S males (rate of increase now decreasing)
        and U.S. females (rate of increase now increasing) has been
        suggested as being incompatible with the argument that air
        pollution has a major influence on lung cancer rates.  These
        trends are said to be more consistent with changes in cigarette
        consumption  (with a 20-year lag period) (Doll and Peto 1981).
        However, rates in black women, who smoke less and who in general
        started smoking at a later age, are almost identical with rates
        in white women—and have increased equally rapidly.
             Schneiderman (1978) attempted to account for the effects
        of smoking on trends in cancer rates by estimating the proportion
        of lung cancer, as well as several other types of cancer, that
        could be attributed to cigarette smoking at different time
        periods.  When this proportion was subtracted from the total,
        he found that there had been a substantial increase in the
        residual lung cancer rate, i.e., the fraction of lung cancers
        attributable to factors other than smoking, between 1947 and
        1969-1971.  More recently, Schneiderman (1979), using the data
                                       F-12

-------
                                                               DRAFT
of PollacK and Horm (1980), to calculate the increases between

the Third National Cancer Survey and the 1976 SEER survey in

lung cancers not related to smoKing, found that the fraction

of lung cancers not attributable to smoKing had risen substan-

tially during that period.  Schneiderman1s methodology is,

however, deficient in at least two respects:  (1) he attributed

all "interaction-with-smoKing" cancers to smoKing alone, and

(2) he neglected cohort effects.

     Several more sophisticated attempts have been made to

taKe cohort effects into account in looKing at the time trends

in lung cancer.  In one of these, Manton et al.  (1982) commented

on their own findings and those of two other published studies:

    These results suggest that, at most, we can attribute
    between 79 and 92 percent of the increase (from 1950
    to 1977) in U.S. white male lung cancer mortality
    to corresponding increases in cigarette consumption.
    For U.S. white females the pattern is less obvious
    with between 62 and 100 percent of the increase in
    lung cancer as the maximum attributable to smoKing.

Manton cited two cohprt studies of British data  (Townsend 1978,

Stevens 1979) that showed attributable risKS for males at 94%

and 89%, and for females at 71% and 94%, respectively.  It

was not clear if these attributions were percentages of total

lung cancers, or percentages of changes.

     Two additional cohort studies have been recently published

(Osmond 1982, Janis 1982).  The study by Osmond discussed lung

cancer in women (and bladder cancer in men)  and noted

    ...that women started smoKing later than men is
    reflected in the later position of the peaK cohort
    for lung cancer, 1925/6 rather than 1900/1.   Numbers
    of cigarettes smoKed by successive generations of
                            F-13

-------
DRAFT
             either sex (in the U.K.)  have not  declined  to any
             great extent,  raising the question as  to  what has
             caused lung cancer decreases  (in younger  persons).
             Reduction of tar  content  of cigarettes has  been
             suggested (Doll and Peto  1981),  but not unanimously
             accepted (Gerstein and Levison 1982).   Alternatively,
             reductions of  air pollution may  have been important.

         Janis noted that the  peaK cohort  for British  and U.S.  (white)

         males was the same (1900); this implies temporal similarities

         in cigarette-smoKing  patterns in  the two countries, which  in

         turn raises questions as to why age-standardized rates of  lung

         cancer have begun  to fall in  Great Britain, but not in the

         United States.  These several studies  raise doubts about the

         cohort effect (reflecting between-cohort differences in cigarette

         smoKing patterns)  as  the sole reason for the  continuing increase

         in lung cancer mortality in the United States.

              The Manton data, however, indicated a possible U.S. peaK

         cohort born later  than 1891-1900, although at the time of  the

         Manton review the  peaK rate had occurred in white men  born

         about 1900.  In contrast to Janis, Manton found that the highest

         "susceptibilities" were in the youngest cohort, but that the

         rates for these men,  in turn, were liKely to  be modified  (down-

         ward) by decreasing proportions of regular smoKers and by  caanged

         (lower tar) cigarettes.  No studies  of cohort effects  in blacK

         males, who currently have a 40%  higher lung cancer mortality

         rate than white males despite lower  (tar-weighted) cigarette

         consumption, have  come to our attention.

              Janis  (1982)  reported an independent "year" effect  (i.e.,

         a temporal effect  not associated  with  a specific cohort  effect)
                                       F-14

-------
                                                               DRAFT
with increasing risK year-by-year.  Manton's model has an opera-
tional counterpart in a measure of "susceptibility."  For each
succeeding cohort Manton found increasing "susceptibility"
over time in both men and women.  A possible explanation of the
findings of both Janis and Manton is an interaction among envi-
ronmental or industrial pollutants that may have increased
over time, giving an appearance of a "year" effect (or increased
susceptibilities of cohorts).  Janis also noted that British
lung cancer rates rose more rapidly than U.S. rates, and have
now begun to fall more rapidly.  This, too, suggests an inter-
action with general air pollution (higher in Great Britain),
which has sharply abated in Britain (since the 1950s-1960s).
As noted earlier, U.S. lung cancer rates have not been as high
as British rates, particularly at older ages.  Consistent with
the cigarette smoKing explanation is the rapid decline in lung
cancer mortality (relative to continuing smoKers) after cessation
of smoxing.  That conditions in Britain are not strictly compar-
able to those in the United States is suggested by the fact
that, among British physicians who have stopped smoKing, lung
cancer mortality rates appear to level off (after 15 or more
years cessation) to about twice those of nonsmoKers (Doll and
Peto 1977), whereas in the United States it has been reported
that the rates of stopped smoKers, after 15 years of not smoKing,
reach those of men who never smoKed (Wynder et al. 1970).
     A recent report of the National Academy of Sciences/National
Research Council (Gerstein and Levison 1982)  raised substantial
                              F-15

-------
DRAFT
        doubts about the positive health effects of reduced tar/nicotine

        cigarettes.   The report concluded

            ...while some large scale studies have suggested
            small gains in health due to using lower T/N  (or
            filter rather than non-filter)  cigarettes,  other
            population-wide studies do not  support this view.
            Thus, the evidence for switching to lower T/N  cig-
            arettes is doubtful."  (Emphasis original)

             Calculations based on the National Cancer  Institute data

        for 1973-1977 (SEER),  which did not include cohort effects,,

        suggested that less than 20% of the increased incidence in

        cancer in white males, and less than half the increased inci-

        dence in white females, were attributable to cigarette  smoKing

        (Schneiderman 1978).   These estimates did not tane into account

        interactions or the reduced proportion of all adults smoKirig

        cigarettes and the reduced tobacco  and tar content of the ciga-

        rettes sold since 1965 (USDHEW 1979).

             The increase in lung cancer incidence and mortality during

        the 1970s is of particular interest.  Such a change is  consistent

        with an increase in exposure to some environmental factor or

        factors other than smoKing during the 1940s or  early 1950s.

        As noted by Rail (1978), Epstein (1978), and Davis and  Magee

        (1979), this is the period of the initial rapid growth  in the

        synthetic organic chemical production, as well as  a period

        of increased activity  in other industries, including the use

        of asbestos.

             Evidence that there have been  increases in lung cancer

        independent of smoKing habits was given by Enstrom (1979),

        who studied lung cancer mortality rates for nonsmoKers  in the
                                      F-16

-------
                                                               DRAFT
United States.  He found that these rates had risen considerably
between 1914 and 1968 and appear to have doubled during the
period between 1958 and 1968.  This finding was questioned
by Doll and Peto (1981) on the grounds that Enstrom may have
included ex-smoKers in his nonsmoKer category.  Enstrom1s finding
is in contrast that of GarfinKel (1981b) who reported no such
increase in the population followed by the American Cancer
Society.
     GarfinKel also cited a similar result from the nonsmoKers
in the Dorn study of veterans (Rogot 1980).  On closer examina-
tion, however, both these sets of data exhibit peculiarities
(or fluctuations), due to small numbers or possibly to reporting
errors.  Following specific birth cohorts, three of GarfinKel's
groups of male nonsmoKers (persons born about 1916, 1901, and
1886) showed declines in age-specific rates in the third time
period—to levels in the 1916 and 1901 cohorts below those,
shown by any of the other cohorts at the same attained age.
(The 1886 cohort could not be used in this comparison because
other cohorts had not attained ages 85-89.)  This is contrary
to the general pattern of increase in cancer mortality rates
with increasing age (except for the very oldest persons).
Excluding these aberrant points, which suggest that recent
follow-up may have been incomplete, each succeeding cohort
of males shows a higher lung cancer rate (at the same attained
age)  than the preceding cohorts—with only one exception:
men born about 1896 had lower rates at ages 70-74 than did
                              F-17

-------
DRAFT
        men born about 1891 (26.4 vs.  32.3).   The data for the women
        in the ACS study show similar  patterns (with the 1916 cohort
        also showing an unexpected inversion  in the last follow-up
        period).  The rates for women  nonsmoKers, which are based on
        larger numbers, are otherwise  more consistent than those for
        men.  The Dorn data are also erratic.  The 1901 cohort has
        lower lung cancer rates reported for  ages 60-64 than for ages
        55-59.  Except for this and one other data point (men born
        about 1896, attained age 65-69), the  men reported in the Dorn
        data show somewhat higher rates for the same birth cohorts
        and for the same attained ages than the ACS study.  This is
        in Keeping with the nature of  the ACS sample—somewhat less;
        urban, somewhat less "blue-collar", somewhat higher education
        and social class than the United States as a whole.  The Dorn
        population, while derived only from men healthy enough to have
        been in the military, is liKely to be closer to the general.
        U.S. population.
             It is worth noting that Dean et  al. (1978) also reported
        substantial increases in rates among  nonsmoKers.  In contrast,
        Doll  (in Magnus 1982) apparently assumed no change over time
        in lung cancer mortality among nonsmoKers in the United States
        from 1933 to 1977.  This is rather surprising because in his
        Figure 1  (page 224) in which he plotted rates for nonsmoKers
        (age-adjusted) for 1960-1972 (from Hammond), the nonsmoKer
        rates for several of the early years  are higher than the rates
                                      F-18

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                                                              DRAF1
for the total populations, also age-standardized—considered
separately by sex.
     Attempts have been made to study the trends in cancer
mortality rates following apparent reductions in pollution.
Higgins (1974) was able to account for increases in lung cancer
in the United States and England up to about 1970 by changes
in smoKing habits.  He found more recent rates inconsistent
with cigarette smoxing.  He attributed the decline in lung
cancer rates in England, which began as early as 1960, to the
dramatic reduction in air pollution.  This relationship is
supported by the finding that the earliest (and greatest)  reduc-
tion in lung cancer rates occurred in London where there was
also the earliest and greatest reduction in measured air pollu-
tion.  A similar conclusion appears to have been reached by
Lawther and Waller (1978) , who found that the lung cancer  trends
from 1951 to 1973 in Greater London and the rural districts
of England and Wales were moving in opposite directions.  The
rates declined in London, where the Clean Air Acts had been
first put into effect, while they were increasing in the rural
areas.  Todd et al. (1976), in analyzing cancer mortality rates
and cigarette consumption in England, found additional evidence
supporting the hypothesis that atmospheric pollution interacted
with cigarette smoKing to increase the incidence of lung cancer.
They argued that the finding that the male cohorts with the
highest "cumulative consumption of constant tar cigarettes"
were 5 or 10 years younger than those that experienced the
                              F-19

-------
highest age-specific lung cancer mortality rates (at all ages
between 30 and 59 years)  implied the existence of etiological
agents (in addition to cigarette smoKing)  that influence the
development of lung cancer in humans.
                              F-20

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                                                            DRAFT
                            APPENDIX G
                  CRITIQUE OF TWO RECENT REVIEWS

     This Appendix discusses two recent reviews which have
concluded that the contribution of  air pollution to cancer
risks is small and/or indeterminable.  Doll and Peto  (1981)
presented a comprehensive review of data on cancer rates in
the U.S. population and their known or presumed association
with various environmental factors.  Their final conclusion
(Table 20) was that about 2% of all cancer deaths in the U.S.
(possible range, less than 1% to 5%) could be attributed to
pollution of all kinds.  This estimate appears to include about
1% attributed to the effect of urban air pollution on lung
cancer (p. 1248).  Although this estimate is consistent with
others reviewed in this report (see Table IV-1), Doll and Peto
expressed considerable reservation about the reliability of
these estimates and the methods used to derive them.
     The precise basis of Doll and Peto's conclusions is diffi-
cult to determine from their paper.  In their section on air
pollution (pp. 1246-1248)  they cited no specific epidemiological
studies of the association between cancer rates and any specific
pollutants,  and only two studies of urban/rural differentials.
One of these was their own unpublished study of British doctors,
presented in a footnote (see Section II.B of this report for
discussion).  The other was the paper by Hammond and Garfinkel
(1980):   they cited this paper as demonstrating an urban/rural
                               G-l

-------
differential after standardizing for age and six categories

of current smoking.  They then added:

    These differences do not allow for differences attri-
    butable to occupational hazards but even so are
    not large, and much or all of them might be due
    to the expected effects of early cigarette usage.
    The authors allowed for occupation by examining
    separately men exposed and not exposed to dust,
    fumes, etc. and concluded that their data offer
    "little or no support to the hypothesis that urban
    air pollution has an important effect on lung cancer."

It is evident from these statements that Doll and Peto had not

conducted an independent analysis of these data (cf. Appendix E)

     Doll and Peto expressed considerable skepticism about

the possibility of detecting effects of urban air pollution

(or other regional effects):

    Some investigators have attempted to estimate the
    effect of pollutants by comparing the lung cancer
    mortality rates in different areas and "making allow-
    ance" for differences in smoking habits by retrospec-
    tive inquiry of the amount smoked by representative
    residents.  We doubt, however, whether it is possible
    in this way to disentangle the effects of smoking
    and environmental pollution, especially in those
    studies that have examined cancer rates only within
    categories of men with such broadly similar smoking
    habits as nonsmokers (including ex-smokers), current
    smokers smoking 20 cigarettes a day or less, and
    current smokers smoking more.  Such broad classes
    are hardly likely to take account of differences
    in a habit which may affect the incidence of lung
    cancer by up to fortyfold sufficiently accurately
    for a twofold urban-rural difference to be estimated
    with certainty.

They continued by pointing out the difficulty of controlling

for other aspects of smoking, including age at starting, type

of cigarette, depth of inhalation, etc. (see Chapter II).

However, their discussion of urban/rural differences in  these

aspects of smoking was speculative, and they did not cite any
                               G-2

-------
                                                              DRAFT
specific data  (such as those of Haenszel et al. included in
this report as Table II-4) on urban/rural differentials in
these aspects of smoking.  They did not cite the study of Dean
et al.  (1977, 1978) in which these factors were measured,
reported, and controlled for.
     Much of Doll and Peto's skepticism about the role of air
pollution appears to stem from their conclusion that cigarette
smoking can account for most, if not all, of the geographical
and temporal patterns in lung cancer rates.  (They did not
discuss effects of air pollution at sites other than the lung.)
They estimated that as much as 91% of lung cancer in males
and 78% of lung cancer in females was attributable to cigarette
smoking.  These figures are higher than most other estimates,
and the method used for arriving at them is subject to upward
bias.  Specifically, Doll and Peto used the data from the ACS
survey  (Garfinkel 1980) to estimate lung cancer rates in non-
smokers, used these rates to estimate the number of lung cancers
that would have occurred in the United States without smoking,
and attributed all the rest to smoking.  However, as pointed out
earlier, the ACS survey was a biased sample of the U.S. popula-
tion.  Doll and Peto recognized this bias in their calculation
of risks due to alcohol (Table 11) and occupation (p. 1244),
for which they estimated that the ACS sample underestimated
national risks by factors of 2.0 and 3.3, respectively.  However,
they did not take any account of this bias in their estimate
                               G-3

-------
DRAFT
        of smoking risks.  Also, Doll and Peto's procedure would include
        all interactions in the category of cancers attributed to smoking.
             Doll and Peto's actual numerical estimate of the fraction
        of cancers attributable to air pollution appears to be derived
        from the study of Pike et al. (1975) and the more informal
        review by Cederlof et al. (1978), both of which led to
            the conclusion that atmospheric pollution, in conjunc-
            tion with cigarette smoke, might have contributed
            to some 10% of all cases of lung cancer in big cities
            (and so to a few percent of lung cancer in the country
            as a whole, i.e., about 1% of all cancer)....  These
            crude estimates provide the best basis for the forma-
            tion of policy.
        Doll and Peto did not review the other studies listed in Table IV-1
        in this report, and did not consider the point made in Chapter IV,
        that extrapolation from data on persons exposed to high concentra-
        tions of products of incomplete combustion, using BaP as an
        index, yields estimates only of the fraction of lung cancers
        associated with these components of air pollution, and not
        with other components.
             In summary, Doll and Peto's conclusions about air pollution
        were informal and do not appear to be based on a critical review
        of the limited literature which they cited.
             Shy and Struba (1982) presented another review of scientific
        evidence on the association between air pollution and cancer.
        They recognized the existence of four of the "converging lines
        of evidence" that have been reviewed in this report:  the unex-
        plained urban factor, the known carcinogenic effects of combustion
        products in workers occupationally exposed to high concentrations,
                                       G-4

-------
                                                               DRAFT
the geographic correlations between lung cancer rates and some

indices of air pollution, and the presence of carcinogenic sub-

stances in ambient air.  However, they concluded:

    In spite of these converging lines of evidence, we
    will argue in this section that firm conclusions
    about air pollution and lung cancer are simply not
    warranted by the current state of knowledge.  Serious
    deficiencies exist in making even qualitative esti-
    mates of persons exposed or not exposed to atmospheric
    carcinogens.  Analytic  (individual risk) studies of
    air pollution as a human carcinogen have not yet
    been reported, and none of the epidemiologic studies
    allows one to make a direct link between lung cancer
    incidence and exposure to air pollution.  The support-
    ing arguments for this judgment will be given as we
    review the epidemiologic evidence in the following
    parts of this section.

     Although Shy and Struba cited more studies of the associa-

tion between air pollution and cancer rates than Doll and Peto,

they nevertheless listed only a limited number of papers, and

did not cite the studies that we regard as individually most

persuasive (e.g.. Dean et al. 1978, Hammond and Garfinkel 1980).

They dismissed studies of urban/rural differentials with the

following incorrect statement:

    Thus far, none of the studies provide even qualitative
    estimates of personal exposure to ambient air pollution,
    and all lack any quantitative data whatsoever on carcin-
    ogenic levels in the ambient air.

As noted in the test, they dismissed as "extremely low" a calcu-

lated risk from ambient concentrations of BaP that actually

falls within the range of other estimates (see Table IV-1).

     Although Shy and Struba1s critical approach to the studies

they cited is appropriate, their standards of proof seem unreason-

ably high:
                               G-5

-------
DRAFT
            It would  seem  essential,  in  future epideraiologic
            studies,  to  identify  cohorts exposed  to  specific
            classes of suspected  atmospheric  carcinogens,  such
            as formaldehyde  in particle  board, plastic  vapors,
            indoor cigarette smoke, classes of solvents in closed
            environments,  motor vehicle  diesel exhaust, and
            so on.  Many of  these exposure situations may  be
            best  studied in  an occupational setting, but the
            characterization of chemical species  and dose  will
            be difficult in  any environment.  General population-
            based studies  do not  promise satisfactory results,
            owing to  the heterogeneity of exposure and  lack
            of individual  data on confounding factors in most
            such  studies.

            ...The proposed  approach  for advancing our  knowledge
            in this area is  to define individual  exposure  to
            specific  sources of atmospheric carcinogens,, to
            attempt to characterize this exposure in terms of
            specific  organic chemical classes of  compounds, and
            to use these exposure characterizations  as  a basis
            for well-designed analytic epidemiologic studies.  It
            is hoped  that  this approach  will  yield more testable
            and refutable  hypotheses  than have been  developed
            to date.

        Their  insistence on  rigorous, analytic  (apparently prospective

        and  long-term) studies reflects  a reluctance to consider the

        weight of evidence provided by the large  body of literature on

        this subject, much of which they did  not  cite.
                                       G-6

-------
                                                             DRAFT
                           APPENDIX H
         DATA ON SMOKING HABITS IN NORTHEASTERN ENGLAND

     Tables H-l to H-4 summarize  data  on three  characteristics
of smoking habits (age at  starting  to  smoke,  depth  of  inhalation,
and proportion of filter cigarettes),  stratified  by age,  sex,
and location of residence.   These data were  derived from  a
survey in northeastern England and  were originally  published
as Tables H17,  HIS,  H21, and H24  in Dean et  al.  (1978).
                              H-l

-------
DRAFT
                                        TABLE H-l

                         DISTRIBUTION OF AGE AT STARTING TO SMOKE  '
                      BY AREA AND SEX IN THE LIVING POPULATION, 1973
                             ZBton
                        Hale
Female
                Stockton
                                    Male
          Female
                                                         Rural Districts
Male
Female
Number 35+
                        7,230
7,570
         Age at starting to smoke
<15
15-19
20-24
25+
Smokers,
18.3
43.0
12.6
5.9
2.1
7.6
21.6
10.5
10.3
1.4
           unclassified
         Never smokers   18.1
 48.5
18,370    20,460
                                      19.0
            48.2
15,380    16,510
14.5
41.5
11.5
8.2
5.4
4.7
23.1
8.9
13.2
1.9
11.7
36.3
10.3
5.7
6.9
2.2
17.8
8.3
8.7
1.7
  29.1
  61.4
                                               H-2

-------
                                TABLE H-2

                 DISTRIBUTION OF AGE AT STARTING TO SMOKE
              BY AREA AND SEX IN THE LIVING  POPULATION, 1973
Baton

Number 35-44
Age at starting
<15
15-19
20-24
25+
Smokers,
unclassified
Never smokers
Male
2,270
to smoke
15.5
45.0
14.0
1.6
1.6
22.5
Number 45-54 2,070
Age at starting
<15
15-19
20-24
25+
Smokers,
to smoke
14.9
50.4
10.7
6.6
1.7
Female
1,980
11.7
37.9
15.2
4.1
0.7
30.3
2,080
12.4
25.5
11.7
8.8
2.9
Stockton
Male
4,950
9.4
47.2
11.0
4.7
8.7
18.9
5,680
11.8
45.7
9.4
7.1
5.5
Female
(1)
5,220
8.1
30.4
8.9
12.6
1.5
38.5
5,420
5.3
31.8
13.6
7.6
1.5
Rural Districts
Male
4,750
8.6
39.5
11.1
5.6
4.3
30.9
3,950
13.4
37.3
12.7
4.2
7.7
Female
4,460
1.2
27.2
10.1
8.9
1.2
51.5
3,920
5.4
25.9
10.9
6.1
2.7
unclassified

Never smokers   15.7
38.7
20.5
40.2
24.6
49.0
                                      H-3

-------
DRAFT
                               TABLE H-2 (continued)
Baton
Male
(%)
Number 55-64 1,910
Age at starting
<15
15-19
20-24
25+
Smokers,
unclassified
Never smokers
Number 65+
Age at starting
<15
15-19
20-24
25+
Smokers,
to smoke
18.6
43.3
15.5
8.2
3.1
11.3
980
to smoke
28.4
27.0
9.5
9.5
2.7
Female
(1)
1,720
2.3
11.5
13.8
19.5
2.3
50.6
1,790
0.9
4.3
0.9
12.9
0.0
Stockton
Male
(%)
4,150
20.0
30.0
11.1
12.2
3.3
23.3
3,590
20.5
38.6
15.7
10.8
2.4
Female
(%)
4,330
5.2
17.7
6.3
22.9
2.1
45.8
5,490
0.0
9.8
5.7
12.3
2.5
Rural Districts
Male
(%)
3,420
10.8
35.1
7.2
7.2
8.1
31.5
3,260
14.8
31.5
9.3
6.5
8.3
Female
(%)
3,770
1.6
12.6
8.7
10.2
1.6
65.4
4,360
0.6
4.4
3.8
9.5
1.3
       unclassified



       Never smokers   23.0
81.0
12.0
69.7
29.6
80.4
                                         H-4

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                                                                       DRAFT
                               TABLE H-3

         DISTRIBUTION OF DEPTH OF INHALATION BY DISTRICT AND SEX
                     IN THE  LIVING POPULATION, 1973
                   Baton
              Male
Female
               Stockton
Hale
Female
                     Rural Districts
Male
Female
Number 35+
Inhalation
A lot
7,230
category
36.8
A fair amount 17.6
A little
None
Smokers,
15.7
10.0
1.9
7,570

17.5
10.3
14.0
9.5
0.2
18,370

29.0
19.7
12.9
12.9
6.6
20,460

12.2
11.8
13.8
12.8
1.2
15,380

22.8
15.5
13.4
14.5
4.8
16,510

9.0
11.6
10.0
6.8
1.2
unclassified
Never smokers   18.1
 48.5
  19.0
  48.2
  29.1
  61.4
                                   H-5

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DRAFT
                                       TABLE H-4

                       PROPORTION OF MANUFACTURED-CIGARETTE SMOKERS
                   MHO SMOKE FILTER CIGARETTES—BY AREA, SEX AND PERIOD
                            FOR WHICH SMOKING HABITS REPORTED
                                 Baton
Stockton
Rural Districts

Filter Smokers
Current
3-5 years ago
6-10 years ago
>10 years ago
Male
(%)
60.5
52.4
33.3
9.9
Female
(%)
83.6
75.5
51.3
23.6
Male
(%)
68.6
61.9
38.4
18.2
Female
(%)
86.9
76.4
63.4
35.4
Male
(%)
74.8
69.4
52.7
30.8
Female
(%)
88.0
83.6
71.2
45.8
                                           H-6

-------
                                   TECHNICAL REPORT DATA
                            (Please read Instructions on the reverse before completing)
1. REPORT NO.
 EPA-450/5-83-006
                              2.
4. TITLE AND SUBTITLE
 Review and  Evaluation of the  Evidence for Cancer
  Associated with Air Pollution
                                           6. PERFORMING ORGANIZATION CODE
7 AUTHOR(S)
 I.C.T. Nisbet,
 D.M. Siege!
                                                            8. PERFORMING ORGANIZATION REPORT NO.
M.A. Schneiderman,  N.J. Karch,
                                                            3. RECIPIENT'S ACCESSION NO.
                                           5. REPORT DATE
                                            November  1983
9. PERFORMING ORGANIZATION NAME AND ADDRESS
                                                            10. PROGRAM ELEMENT NO.
 Clement Associates, Inc.
 1515 Wilson  Boulevard
 Arlington, Va.  22209
                                            11 CONTRACT/GRANT NO.
                                            EPA Contract No. 68-02-3396
12. SPONSORING AGENCY NAME AND ADDRESS
 Pollutant  Assessment Branch
 Office of  Air Quality Planning  and Standards
 U.S. Environmental  Protection Agency
 Research Triangle Park, N. C.   27711
                                            13. TYPE OF REPORT AND PERIOD COVERED
                                            Draft
                                            14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
16. ABSTRACT
     This draft report is a comprehensive summary  and  compilation of  the scientific
 evidence related to the hypothesis  that cancer rates  in human populations are
 associated with their exposure  to  pollutants present  in the ambient  air.   Critical
comments on  the  strength and weaknesses
 methodological  problems in the  conduct
 discussed.   No  overall judgments  about
 evidence are presented.  This draft is
 comment.
                         of the  studies are presented  and general
                         and  interpretation of the  studies are
                         the  weight  of the entire body of scientific
                         being circulated for technical  review and
17.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
 Air Pollution/Cancer:
  Scientific  Evidence
                                               b.IDENTIFIERS/OPEN ENCEDTERMS
                              Air  Pollution/Cancer
                                                         c.  COSATI 1'icld/Group
18. D'STRIBUl ION STATEMENT
                                              |19. SECURITY CLASS (This Report)
                                                          21. NO. OF ;a.GES
 Unlimited
                                               20 SECURITY CLASS (This page)
                                                                          22. PRICE
EPA Form 2220-1 (Rev. 4-77)   PREVIOUS EOITION is OBSOLETE

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                           DRAFT





















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