&EPA
United States
Environmental Protection
Agency '
Office of Health and
Environmental Assessment
Washington DC 20460
EPA-600/6-82-003F
February 1984
Pinal Report
Research and Development
Carcinogen Final
Assessment of Report
Coke Oven Emissions
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EPA-600/6-82-003F
February 1984
Final Report
Carcinogen Assessment
of
Coke Oven Emissions
Final Report
Carcinogen Assessment Group
Reproductive Effects Assessment Group
Office of Health and Environmental Assessment
Office of Research and Development
U.S. Environmental Protection Agency
Washington, D.C. 20460
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DISCLAIMER
This document has been reviewed in accordance with U.S. Environmental
Protection Agency policy and approved for publication. Mention of trade names
or commercial products does not constitute endorsement or recommendation for
use.
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CONTENTS
Preface. . ...... ............. .-••< • . -. • ... • . • «v
Authors and Reviewers. ... ..... . . . . * .;....... . . . .vi
I. Summary and Conclusions .............. .... ^ ... .1
Summary ...... . ......... . ..... ....... 1
Conclusions .... .......... ...... ....... 5
II. Introduction .... ................... ..... 6
III. Metabolism ......................... ... 12
Polynuclear Organic Matter (Polynuclear Aromatic Hydrocarbons
and Polynuclear Aza-Heterocyclic Compounds. ......... 12
Aromatic Amines ....... . ...... . . . ; * ..... 22
Other Aromatic Compounds. .... .............. .23
Trace Elements. ., ........ . ..... ......... 24
Other Gases ......... . ......... . ...... 26
IV. Mutagenicity and Ceil Transformation . . ........ ..... 27
Studies Evaluating Sol vent-Extractable Organics of Coke Oven
Door Emissions. . . ..................... 27
Studies Evaluating the Complex Material from the Coke Oven
Collecting Main ...... . ....... .... ..... 31
Studies Evaluating Sol vent-Extractable Organics of Air
Particulates Collected on Top of Coke Ovens ....... . . 34
Studies Evaluating Urine Concentrates of Coke Plant
Workers ...... .......... ..... ....... 46
Mutagenicity of Individual Components Identified
in Coke Oven Emissions. .... ....... *..... . . 48
Summary ............................ 51
Cell Transformation . . .................... 52
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V. Toxicity . . .54
Acute Toxicity of Coal Tar. ; . . 54
Subchronic and Chronic Toxicity of Coal Tar Aerosols. ..... 54
VI. Carcinogenicity 64
Epidemiologic Studies .64
Animal Studies 116
Carcinogenicity of Coke Oven Emission Components 143
VII. Quantitative Estimation. .147
Introduction. ..... . . .147
Estimation of the Unit Risk - Considerations. ... . . . . . .149
Data Base Available for the Estimation of Unit Risk ..... .157
Age-Specific Esposure-Induced Respiratory Cancer Death
Rate Models . 177
Estimation of Lifetime Cancer Risk Due to a Constant
Lifetime Exposure ..............; 186
Composite Unit Risk Estimate 190
Factors That Have the Potential for Biasing the
Calculated Estimated Risks 191
Summary 193
VIII. References 196
TV
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PREFACE
The Carcinogen Assessment of Coke Oven Emissions was prepared to serve as
a source document for U.S. Environmental Protection Agency (EPA) use. This
document was developed primarily for use by the Office of Air Quality Planning
and Standards, to support decision-making regarding possible regulation of
coke oven emissions as a hazardous air pollutant.
In the development of the assessment document, the scientific literature
has been inventoried, key studies have been evaluated, and the summary and
conclusions have been prepared so that the carcinogenicity and related
characteristics of coke oven emmissions are qualitatively identified.
Measures of dose-response relationships relevant to ambient exposures are also
discussed so that the adverse health responses are placed in perspective with
observed environmental levels.
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AUTHORS AND REVIEWERS
The Carcinogen Assessment Grpup, Office of Health,and Environmental
Assessment, was responsible for preparing this document. Participating
members are as follows (principal authors are designated by asterisks):
Roy E. Albert, M.n. (Chairman)
Elizabeth L. Anderson, Ph.D.
*Larry D. Anderson, Ph.D.
Steven Bayard, Ph.D.
David L. Bayliss, M.S.
Chao W. Chen, Ph.D.
Maragaret M. L. Chu, Ph.D.
*Herman J. Gibb, B.S., M.P.H.
Bernard H. Haberman, D.V.M., M.S.
Charalingayya B. Hiremath, Ph.D.
Robert McGaughy, Ph.D. .
Oharm V. Singh, D.V.M., Ph.D.
Nancy A. Tanchel, B.A.
*Todd W. Thorslund, Sc.D.
The Reproductive Effects Assessment Group, Office of Health and
Environmental Assessment was responsible for preparing the section on
mutagenicity. Participating members are as follows (principal authors are
designated by asterisks):
John R. Fowle III, Ph.D,
Ernest Jackson, Ph.D.
K.S. Lavappa, Ph.D.
Sheila Rosenthal, Ph.D.
Carol Sakai, Ph.D.
*Vicki Vaughan-Oellarco,
Peter E. Voytek, Ph.D.
Ph.D.
The Carcinogen Assessment Group (CAG) also acknowledges the contributions
of the following in preparation of this document:
Dr. Robert Bruce
Environmental Criteria and
Assessment Office,
Research Triangle Park, North Carolina
Mr. Joseph Santodopato
Syracuse Research Corporation
Syracuse, New York
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The following individuals provided peer review of this draft or earlier
drafts of this document:
U.S. Environmental Protection Agency •
Dr. Robert Bruce . ,
Health Scientist, Environmental Criteria
and Assessment Office
Office of Research and Development
Research Triangle Park, North Carolina
Dr. Roger Cortesi •
Acting Director, Office of Health Research
Office of Research and Development
Washington, D.C.
Dr. Seymour Holtzmann
Biologist, Office of Environmental
Processes and Effects Research
Office of Research and Development
Washington, D.C. ;
Dr. Joellen Lewtas
Chief, Genetic Bioassay Branch
Health Effects Research Laboratory
Office of Research and Development - .
Research Triangle Park, North Carolina
Dr. Debdas Mukerjee
Oncologist, Environmental Criteria
and Assessment Office
Office of Research and Development
Cincinnati, Ohio
Dr. Stephen Nesnow
Chief, Carcinogenesis and
Metabolism Branch
Health Effects Research Laboratory
Office of Research and Development
Research Triangle Park, North Carolina
Mr. Joseph Padgett
Director, Strategies and
Air Standards Division
Office of Air, Noise, and Radiation
Durham, North Carolina
Mr. Gerald Rausa
Health Research Coordinator
Office of Health Research
Office of Research and Development
Washington, D.C.
vTi
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Dr. non Tang
Staff Engineer
Office of Environmental Engineering
and Technology
Office of Research and Development
Washington, n.C.
Dr. John Todhunter
Assistant Administrator
Office of Pesticides and
Toxic Substances
Washington, n.C.
Other Agencies
Dr. Charlie Rrown
Biology Branch
National Cancer Institute
Bethesda, Maryland
Dr. Michael Rowe
Biomedical and Environmental
Assessment Division
Brookhaven National Laboratory
Upton, New York
Dr. Joyce Salg
Epidemiologist
Division of Surveillance,
Hazard Evaluations, and Field Studies
National Institute for Occupational
Safety and Health
Cincinnati, Ohio
Consultants Outside of Government
Dr. Bernard Altschuller
Institute of Environmental Medicine
New York University Medical Center
Tuxedo, New York
Dr. Melvin Benarde
Professor of Epidemiology and
Community Medicine
Hahnemann Medical College and
Hospital
Philadelphia, Pennsylvania
Dr. Dietrich Hoffman
Naylor Dana Institute For
Disease Prevention
American Health Foundation
Valhalla, New York
viii
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Dr. Carol Redmond
Department of Biostatisties
Graduate School of Public Health
University of Pittsburgh
Pittsburgh, Pennsylvania
EPA_Science_Advi sory_Board
The substance of this document was independently peer-reviewed in public
sessions of the Environmental Health Committee of EPA's Science Advisory
Board.
The Carcinogen Assessment Group is appreciative of the public comments
received, especially those of Dr. Steven Lamm, Consultants in Epidemiology
and Occupational Health, whose comments were helpful in revising the document.
IX
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I. SUMMARY AND CONCLUSIONS
SUMMARY
Qual1tati ve As ses sment
The production of coke by the carbonization of bituminous coal leads to
the atmospheric release of chemically-complex emissions from coke ovens. The
toxic constituents include both gases and respirable particulate matter of
varying chemical composition. Greatest attention has been focused on the
toxic effects of the particulate phase of the coal tar pitch volatiles (CTPV)
emitted from coke ovens, principally because this fraction contains polycylic
organic matter (POM). In addition to POM, there is concern over the potential
carcinogenic and/or cocarcinogenic effects of aromatic compounds (e.g.,
beta-naphthylamine, benzene), trace metals (e.g., arsenic, beryllium, cadmium,
chromium, lead, nickel), and gases (e.g., nitric oxide, sulfur dioxide), which
are also emitted from coke ovens.
Extensive epidemiologic studies of coke oven workers by Lloyd (1971),
Redmond et al. (1972), Redmond et al. (1976), and Redmond et al. (1979) found
that workers exposed to coke oven emissions were at an increased risk of
cancer. A dose-response relationship was established in terms of both length
of employment and intensity of exposure according to work area at the top or
side of the coke oven. The relative risk of lung, trachea, and bronchus
cancer mortality in 1975 was 6.94 among Allegheny County, Pennsylvania coke
oven workers who had been employed 5 or more years through 1953 and worked
full-time topside at the coke ovens. By comparison, side oven workers
employed more than 5 years and followed through 1975 had a relative risk of
1.91, while nonoven workers employed more than 5 years had a relative risk of
1.11. Deaths from malignant neoplasms at all sites were also found to be
dose-related among the Allegheny County workers. Among non-Allegheny County
coke oven workers employed more than 5 years at time of entry to the study
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(1951-1955), the relative risk in 1975 of cancer of the lung, trachea, and
bronchus was 3.47 for full-time topside, 2.31 for mixed topside and side oven,
and 2.06 for side oven. Although adequate smoking data were not available for
either the Allegheny County or non-Allegheny County workers, it is not likely
that differences in smoking habits could be of sufficient magnitude to negate
the dose-response effect that was found. In addition to elevated mortality
from cancer at all sites and elevated mortality from cancer of the lung,
trachea, and bronchus, there was significant (P < 0.05) excess kidney cancer
mortality among white coke oven workers in Allegheny County (relative risk in
1975 of 8.50 for those employed 5 years or more through 1953 and 5.42 for
those ever employed through 1953). Prostate cancer mortality was found to be
significantly (P < 0.05) elevated for the nonwhite non-Allegheny County coke
oven workers ever employed or employed for 5 years or more (relative risks of
2.45 and 3.69 respectively in 1975) and for all workers at the coke ovens in
Allegheny County ever employed through 1953 (relative risk of 1.67 in 1975).
Sakabe et al. (1975) observed a significant (P < 0.05) excess of lung
cancer deaths (lung cancer mortality ratio of 2.37) among retired iron and
steel coke oven workers in Japan when compared to expected, which was derived
from general population statistics. The strength of the association is
weakened, however, by the lack of adequate smoking data, particularly when the
lung cancer mortality ratio is one that could be explained by differences in
smoking habits.
British studies of coke oven workers do not show the magnitude of risk
found in the American studies or the Sakabe et al. study. Davies (1977, 1978)
found no excess mortality for coke oven workers when compared to the general
population. However, a short observation period and a relatively small sample
size (number = 610) are shortcomings of this study. Reid and Buck (1956) did
not find an excess of respiratory cancer among British coke oven workers.
They did find an excess in mortality from cancer, other than respiratory
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cancer, however. The authors' failure to define the study population, to
adequately address latent effects, and to provide sufficient information on
how expected deaths were derived, make it difficult to draw conclusions from
this early study, however. Coll ings (1978) found an increase in lung cancer
deaths among British coke plant workers, but the increase was not
statistically significant. The period of observation was short (only 9
years), and Coll ings included nonoven as well as coke oven workers in his coke
oven plant cohort. Comparisons among occupational subgroups (non-oven,
part-oven, and coke oven) failed to show a statistically significant
difference, but the sample sizes of the "non-oven" and "part-oven" groups were
relatively small (392 and 742, respectively).
Extracts of a topside coke oven sample and a sample obtained from a coke
oven collecting main were found to have skin tumor initiating activity in
initiation-promotion studies in SENCAR mice (Nesnow et al. 1981). The coke
oven main extract sample also induced skin tumors when topically applied to
SENCAR mice as a complete carcinogen and as a promoter following initiation
with benzo[a]pyrene (Nesnow et a!. 1981). Nesnow (1980) reported no
initiating effect of topside coke oven sample extract in an initiation-
promotion study in C57BL6 mice; however, this mouse strain was resistant to
the positive control agent benzo[a]pyrene. The above studies on topside-coke
oven sample extract are weakened by contamination of the sample with
participates from ambient air. Coal tar, a condensate from coke oven
emissions, has been found to be a skin carcinogen in several animal studies.
Coal tar aerosols have been found to cause tumors of the lung in mice (Norton
et al. 1963, Tye and Stemmer.1967, Kinkead 1973, MacEwen and Vernot 1976).
Numerous other animal studies have found constituents of coke oven tar and
coke oven emissions to be carcinogenic.
Mutagenicity tests on the complex mixture of solvent-extracted organics of
coke oven emissions were positive in bacteria. A complex mixture from the
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coke oven collecting main was mutagenic in bacteria and mammalian cells in
vitro. In addition, a number of components identified in coke oven emissions
are recognized as mutagens and/or carcinogens. Cell transformation was found
in Balb/C 3T3 mouse embryo fibroblasts and Syrian hamster embryo cells treated
with solvent-extracted organics of air particulates collected topside of a
coke oven; however, these studies involve possibly significant contamination
of the sample with ambient air particulates.
Quant1tatlye Assessment
A number of approaches are used to estimate the human lifetime respiratory
cancer death rate due to a continuous exposure of 1 ug/m3 of the benzene
soluble organics (BSO) extracted from the particulate phase of CTPV from coke
ovens emissions.
Using a Weibull-type model it is estimated that the risk due to a 1
ug/m3 unit exposure ranges from 1.30 x 10~8 for the 95% lower-bound zero
lag-time assumption to 1.05 x 10~3 for the 95% upper-bound 15-year lag-time
assumption. Using a multistage-type model, the maximum likelihood estimates
for the risk due to unit exposure range from 1.76 x 10~6 for the zero
lag-time case to 6.29 x 10"4 for the 15-year lag-time case.
Since it is not known whether either of these models reflects the true
dose-response relationship at low doses, a range of estimates from zero to an
upper bound is a more appropriate indicator of potential risk. To obtain this
upper bound, a linearized modification of the multistage model is used, giving
a unit risk value of 1.26 x 1Q-3 as the highest potency amongst the four
lag-time data sets. The lower bound of the range approaches zero.
A composite unit risk estimate is obtained from the multistage 95%
upper-bound estimates for each of four lag-times by taking their geometric
mean. This results in a composite estimate of 6.17 x 10-4, which is
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regarded as the most plausible upper-bound estimate.
It should be noted that the ranges of these results do not reflect the
total uncertainty connected with these estimates. Other factors that could
change the results, such as cigarette smoking rates and sex-race sensitivity
differences, were not accounted for due to lack of sufficient information.
CONCLUSIONS
Coke oven workers have been found to be at an excess risk of mortality
from cancer at all sites, lung cancer, prostate cancer, and kidney cancer as a
result of exposure to coke oven emissions. These risks may possibly have been
enhanced by smoking but are not believed to have been confounded by smoking.
Both an extract from a coke oven main and coal tar, a condensate of coke oven
emissions, were found to be carcinogenic in animal skin painting studies. In
multiple experiments, mice exposed to coal tar aerosol developed lung tumors.
Sample extracts from a coke oven topside sample and a coke oven main initiated
tumor formation in initiation-promotion studies in mice. Coke oven door
emissions were found to be mutagenic in bacteria. Numerous constituents of
coke oven emissions are known or suspected carcinogens.
The preceding findings constitute sufficient evidence for carcinogenicity
in humans, and sufficient evidence for carcinogenicity in experimental animals
if the International Agency for Research on Cancer (IARC) criteria were used
for the classification of carcinogens. Therefore, coke oven emissions would
be classified in IARC category 1, meaning that this mixture is carcinogenic to
humans.
Using a linearized multistage model and averaging the upper-bound
estimates from multiple data sets, the most plausible upper-bound unit risk
estimate is approximately 6.2 x 10"4. This value is the estimated
individual lifetime risk associated with a continuous exposure of 1
of coke oven emissions in ambient air.
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II. INTRODUCTION
Coke is a porous, cellular carbon residue produced from the carbonization of
soft (bituminous) coal and used primarily in the steel industry's blast furnaces
to make iron that is subsequently refined into steel. As of October 1979, the
United States metallurgical coke industry was composed of 34 companies with 61
plants in 19 states. Of the industry's 61 plants, 46 are operated by iron and
steel companies that produce coke primarily for use in their own blast furnaces.
They are customarily referred to as "furnace" plants, in contrast to the
industry's 13 "merchant" plants that generally sell their coke on the open
market to foundries and other consumers. Throughout both of these industry
segments, the by-product, or slot-oven process, is employed to produce what is
termed "oven" coke. Currently, 93% of its output is accounted for by furnace
plants and 7% by merchant plants. An alternative coking method, the beehive
process, is employed by only two plants to produce relatively minor quantities
of "beehive" coke, most of which is marketed for blast furnace use. The basic
difference between the by-product coke oven and the beehive oven is that the
former recovers vapors and other by-products from the coking process, while the
latter does not. In 1979, the 59 by-product coke oven plants consisted of 199
batteries containing 11,413 ovens that produced 63,377,505 tons of coke (Hogan
and Koelble 1979).
A typical by-product oven is 10 to 22 feet high, 36 to 55 feet long, and
approximately 18 inches wide. A coking facility generally contains several
batteries and each battery consists of 20 to 100 ovens. The coking cycle begins
with the introduction of coal into the coke oven (charging) by means of a
mechanical larry car which operates on rails on top of the battery. During
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the charging process the lids on the charging holes are removed and the oven is
placed under steam aspiration. This operation limits the escape of gases from
the oven during charging so that they can be collected in the by-product gas
collector main for subsequent processing. Following the heating of the coal at
1046°C (1900°F) to 1100°C (2000°F) for 16 to 20 hours, the doors on each side of
the oven are removed, and the coke is pushed by a mechanically-operated ram
into a railroad car called the quench car. The quench car is then moved down
the battery to a quench tower where the hot coke is cooled with water.
The reactions taking place in the coke oven can be characterized in three
parts (OSHA 1976). In the first step, coal breaks down at temperatures below
700°C (1292°F) to primary products consisting of water, carbon monoxide, carbon
dioxide, hydrogen sulfide, olefins, paraffins, aromatic hydrocarbons, and
phenolic- and nitrogen-containing compounds. The second step occurs when the
primary products react as they pass through the hot coke and along the heated
oven walls at temperatures above 700°C (1292°F). This results in the formation
of aromatic hydrocarbons and methane; the evolution of hydrogen; and the
decomposition of nitrogen-containing compounds, hydrogen cyanide, pyridine
bases, ammonia, and nitrogen. The third step results in the formation of hard
coke by the progressive removal of hydrogen.
Gases evolved during coking leave the coke oven through the standpipes, pass
into goosenecks, and travel through a damper valve to the gas collection main
that directs them to the by-product plant. These gases account for 20 to 35
percent by weight of the initial coal charge and are composed of water vapor,
tar, light oils, heavy hydrocarbons, and other chemical compounds (Coy et al.
1980).
The raw coke oven gas exits at temperatures estimated at 760° to 870°C and
is shock cooled by spraying recycled "flushing liquor" into the collection
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main. This spray cools the gas to 80° to 100°C, precipitates tar, condenses
various vapors, and serves as the carrying medium for the condensed compounds.
These products are separated from the liquor in a decanter and are subsequently
processed to yield tar and tar derivatives, including pyridine, tar acids,
napthalene, creosote oil, and coal tar pitch. The gas is then passed either to
«
a final tar extractor or an electrostatic precipitator for additional tar
removal. On leaving the tar extractor, the gas carries three-fourths of the
ammonia and 95 percent of the light oil originally present when leaving the
oven.
The ammonia is recovered either as an aqueous solution by water absorption
or as ammonium sulfate salt. Ammonium sulfate is crystallized in a saturator
which contains a solution of 5 to 10 percent sulfuric acid and is removed by an
air injector or centrifugal pump. The salt is dried in a centrifuge and
packaged.
The gas leaving the saturator at about 60°C is taken to final coolers or
condensers, where it is typically cooled with water to approximately 24°C.
During this cooling, some naphthalene separates and is carried along with the
wastewater and recovered. The remaining gas is passed into a light oil or
benzol scrubber, over which is circulated a heavy petroleum fraction called wash
oil or a coal-tar oil which serves as the absorbent medium. The oil is sprayed
in the top of the packed absorption tower while the gas flows up through the
tower. The wash oil absorbs about 2 to 3 percent of its weight of light oil,
with a removal efficiency of about 95 percent of the light oil vapor in the gas.
The rich wash oil is passed to a countercurrent steam stripping column. The
steam and light oil vapors pass upward from the still through a heat exchange to
a condenser and water separator. The light oil may be sold as crude or
processed to recover benzene, toluene, xylene, and solvent naphtha.
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After tar, ammonia, and light oil removal, the gas undergoes a final
desulfurization process at some coke plants before being used as fuel. The coke
oven gas has a rather high heating value, on the order of 20 MJ/Nm3 (550
Btu/scf). Typically, 35 to 40 percent of the gas is returned to fuel the coke
oven combustion system, and the remainder is used for other heating needs.
Typically, one ton of coal will yield the following products:
Blast Furnace Coke
Large Coke Particulates
Coke Oven Gas
Tar
Ammonium Sulfate
Ammonium Liquor
Light Oil
545-635 kg
49-90 kg
285-345 m3
27.5-34 1
7-9 kg
5-135 1
3-12.5 1
Human exposure to coke oven emissions occurs as a result of emissions
released during the charging, coking (door, topside port, and offtake system
leaks), and pushing operations. During these operations large quantities of
sulfur dioxide, organic vapors, particulates, and coal tar pitch volatiles .
adsorbed to particulates, can be emitted to the atmosphere. A detailed list of
constituents found in coke oven emissions is given in Table II-l.
An OSHA standard for coke ovens emissions was issued in 1978 (29 CFR
1910.1029). This standard is a comprehensive standard which includes
requirements for exposure monitoring; medical surveillance; use of respirators,
protective clothing, and equipment; training and education; hygiene facilities
and practices; etc. The permissible exposure limit (PEL) as defined by the
standard is an 8-hour time-weighted average of 150 ug/m3 of the benzene
soluble fraction of total particulate matter.
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TABLE II-l.
PARTIAL LIST OF CONSTITUENTS OF COKE OVEN EMISSIONS
(U.S. EPA I978a)
POLYNUCLEAR AROMATIC HYDROCARBONS
Anthanthrene
Anthracene
Benzindene
Benz[a]anthracene
Benz[b]f1uoranthene
Benzo[ghi]fluoranthene
Benzo[j]fluoranthene
Benzo[k]fl uoranthene ;
Benzofluorene
Benzo[a]fluorene
Benzo[b]fluorene
Benzo[c]fluorene
Benzo[c]phenanthrene
Benzo[ghi]perylene
Benzo[a]pyrene
Benzo[e]pyrene
Benzoquinoline
Chrysene
Coronene
Dibenz[a,h]anthracene
Dibenzo[a,h]pyrene
Dihydroanthracene
Dihydrobenzo[a]fluorene
Di hydrobenzo[b]fluorene
Dihydrobenzo[c]fluorene
Dihydrobenz[a]anthracene
Dihydrochrysene
Di hydrof1uoranthene
Dihydrofluorene
DihydromethylbenzCa]anthracene
DihydromethylbenzoCk and b]fluoranthenes
DihydromethylbenzoCa and e]pyrenes
Dihydromethylchrysene
Dihydromethyltriphenylene
Dihydrophehanthrene
Dihydropyrene
Dihydrotriphenylene
Dimethylbenzo[b]f1uoranthene
Dimethylbenzo[k]fluoranthene
Dimethylbenzo[a]pyrene
Dimethylchrysene
Dimethyltriphenylene
Ethyl anthracene
Ethylphenanthrene
Fluoranthene
Fluorene
Indeno[l,2,3-cd]pyrene
Methyl anthracene
Methylbenzo[a]anthracene
Methylbenzo[a]pyrene
Methylbenzo[ghi]perylene
Methylchrysene
Methylfluoranthene
Methy!fluorene
Methylphenanthrene
Methylpyrene
Methyltriphenylene
Octahydroanthracene
Octahydrofluoranthene
Octahydrophenanthrene
Octahydropyrene
Perylene
Phenanthrene
Indenb[l,2,3~cd]pyrene
Pyrene
Tri phenylene
POLYNUCLEAR AZA-HETEROCYCLIC COMPOUNDS
Acridine
Benz[c]acridine
Dibenz[a,h]acridine
Dibenz[a,j]acridine
AROMATIC AMINES
a-Naphthylamine
3-Naphthyl ami ne
TRACE ELEMENTS
Arsenic
Beryllium
Cadmi urn
Chromium
Cobalt
Iron
Lead
Nickel
Sel eni urn
(continued on the following page)
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TABLE II-l. (continued)
OTHER AROMATIC COMPOUNDS
Benzene
Phenol
To!uene
Xylene
.OTHER GASES
Ammonia
Carbon disulfide
Carbon monoxide
Hydrogen cyanide
Hydrogen sulfide
Methane
Nitric oxide
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, III. METABOLISM
A rather brief and general discussion of the metabolism of the classes of
coke oven emission components shown in Table II-l is presented in this
section. The basis of discussion, particularly for classes besides
polynuclear organic matter, are reviews on metabolism in the cited documents.
As shown in Table II-l, coke oven emissions can contain a wide array of
chemical components. Therefore, the toxicologic significance of any single
component or class of components to the carcinogenic potential of coke oven
emission samples is difficult to estimate without knowledge of the chemical
composition of the samples, as well as the amount of each component absorbed
and metabolized by humans. Additionally, the metabolic profile of a coke oven
emission sample with respect to its components considered together as a group
would appear to be quite difficult to determine. Nonetheless, evidence is
presented herein to indicate that chemicals or classes of chemicals described
in Table II-l can contribute to the carcinogenic potential of coke oven
emissions via metabolism to active carcinogenic agents.
POLYNUCLEAR ORGANIC MATTER (POLYNUCLEAR AROMATIC HYDROCARBONS AND POLYNUCLEAR
AZA-HETEROCYCLIC COMPOUNDS)
Polynuclear organic matter (POM) are metabolized via enzyme-mediated
oxidative mechanisms to form reactive electrophiles (Lehr et al. 1978). For
many of the POM, certain "bioactivated" metabolites are formed that have the
capability for covalent interaction with cellular constituents (i.e., RNA,
DNA, proteins) and ultimately lead to mutation and carcinogenesis.
The obligatory involvement of metabolic activation for the expression of
POM-induced carcinogenesis has prompted the investigation of POM metabolism in
numerous animal models and human tissues. From these studies has emerged an
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understanding of the general mechanisms involved in POM biotransformation. It
is now known that POM are metabolized by the cytochrome P-450-dependent
microsomal mixed-function oxidase (MFO) system, often designated aryl
hydrocarbon hydroxylase (Conney 1967, Marquardt 1976, Sims 1976, Gelboin et
al. 1972). The activity of this enzyme system is readily inducible by
exposure to various chemicals and is found in most mammalian tissues, although
primarily studied in the liver (Bast et al. 1976, Chuang et al. 1977, Andrews
et al. 1976, Cohn et al. 1977, Wiebel et al. 1975, Grundin et al. 1973,
Zampaglione and Mannering 1973). The MFO system is involved in the metabolism
of endogenous substrates (e.g., steroids) and the detoxification of many
xenobiotics. However, the MFO system also catalyzes the formation of reactive
epoxide metabolites from certain POM, possibly leading to carcinogenesis in
experimental mammals (Sims and Grover 1974; Selkirk et al. 1971, 1975; Sims
1976; Thakker et al. 1977; Levin et al. 1977; Lehr et al. 1978). A second
microsomal enzyme, epoxide hydrase, converts epoxide metabolites of POM to
vicinal glycols, a process which may also play a critical role in carcinogenic
bioactivation. Figure III-l presents a schematic representation of the
various enzymes involved in activation and detoxification pathways for B[a]P.
At present this also appears to be representative of the general mechanism for
POM metabolism.
A discussion of the metabolism of POM in mammalian species, including man,
is best approached by examining in detail the chemical fate of the most
representative and well-studied compound in the POM class, namely B[a]P. The
metabolism of B[a]P has been extensively studied in rodents (for a review, see
Yang et al; 1978) and the results of these investigations provide useful data
which can be directly compared to and contrasted with the results of more
limited studies employing human cells and tissues. Therefore, separate
13
-------
(ENDOPLASMIC
RETICULUM)
BaP-O-SG
(DETOXIFICATION
PRODUCTS)
GLUTATHIONE
« : .
TRANSFERASE
(CYTOSOL)
CYTOCHROME P-450
MIXED-FUNCTION OXIDASE (MFO)
MFO
BaP OXIDES
EPOXIDE
HYDRASE
(ENDOPLASMIC
RETICULUM)
BaP PHENOLS
MFO
BaP GUI NONES
MFO
BaP DIOL EPOXIDES
(PROPOSED ULTIMATE
CARCINOGENS)
BaP DIHYDRODIOLS (PROPOSED PROXIMATE CARCINOGENS)
UDP-GLUCURONOSYL TRANSFERASE
(ENDOPLASMIC RETICULUM)
H2O-SOLUBLE CONJUGATES
(DETOXIFICATION PRODUCTS)
Figure III-l. Enzymatic pathways involved in the activation and
detoxification of B[a]P (U.S. EPA 1979).
14
-------
discussions are based upon the available experimental evidence regarding
metabolism in general, and B[a]P metabolism in particular, in both animals and
man.
The metabolites of POM produced by microsomal enzymes in mammals can
arbitrarily be divided into two groups on the basis of solubility. In one
group are those metabolites that can be extracted from an aqueous incubation
mixture by an organic solvent. This group consists of ring-hydroxylated
products such as phenols and dihydrodiols (Selkirk et al. 1974, Sims 1970),
and hydroxymethyl derivatives of those POM having methyl groups, such as
7,12-dimethylbenz(a)anthracene (DMBA) (Boyland and Sims 1967) and
3-methylcholanthrene (3-MC) (Stoming et al. 1977, Thakker et al. 1978). In
addition to the hydroxylated metabolites, are quinones produced by oxidation
of phenols. Labile metabolic intermediates, such as epoxides, can also be
found in this fraction (Selkirk et al. 1971, Sims and Grover 1974, Selkirk et
al. 1975, Yang et al. 1978).
In the second group of POM metabolites are the water soluble products
remaining after extraction with an organic solvent. Many of these derivatives
are formed by reaction (conjugation) of hydroxylated POM metabolites with
glutathione, glucuronic acid, and sulfate. Enzyme systems involved in the
formation of water-soluble metabolites include glutathione S-transferase,
UDP-glucuronosyl transferase, and sulfotransferases (Bend et al. 1976, Jerina
and Daly 1974, Sims and Grover 1974). Conjugation reactions are believed to
represent detoxification mechanisms only, although this group of derivatives
has not ,been rigorously studied.
The metabolite profile of B[a]P, which has -recently been expanded and
clarified by the use of high pressure liquid chromatography (HPLC), is
depicted in Figure III-2. This composite diagram shows three groups of
positional isomers, three dihydrodiols, three quinones, and several phenols.
15
-------
BENZO(a)PYRENE
/I
6-OH-Me
6-PHENOXY
RADICAL
7 8-epox
7, 8-diol
[7,8,9,10-tetroj]
7-OH
I
CONJUGATES
BOUND MACROMOLECULES
DNA
RNA
PROTEIN
Figure 111-2. Metabolites of benzo[a]pyrene (U.S. EPA 1979)
16
-------
The major B[a]P metabolites found in microsomal incubations are
3-hydroxy-B[a]P, l-hydroxy-B[a]P, and 9-hydroxy-B[a]P. The B[a]P-4,5-epoxide
has been isolated and identified as a precursor of the B[a]P-4,5-dihydrodiol.
Other studies indicate that epoxides are the precursors of the 7,8-dihydrodiol
and 9,10-dihydrodiol as well. Considerable evidence has recently become
available which implicates the stereospecific form of 7,8-dihydrodihydroxy-
9,10-epoxy-B[a]P as an ultimate carcinogen derived from B[a]P (Jerina-et al.
1976; Kapitulnik et al. 1977, 1978a, b; Levin et al. 1976; Yang et al. 1978).
Since the resonance properties of POM make ring openings difficult,
enzymatic attack in the microsomes functions to open double bonds and add an
oxygen-containing moiety, such as a hydroxyl group, to give it more solubility
in aqueous media (e.g., urine) and thus facilitate removal from the body. In
the formation of metabolic intermediates by oxidation mechanisms, relatively
stable POM are converted to reactive metabolites (i.e., epoxides). Thus,
nucleophilic attack of this reactive intermediate, through the formation of a
transient carbonium ion, would be greatly enhanced. Arylations of this type
are common to many classes of carcinogenic aromatic hydrocarbons. Therefore,
the microsomal cytochrome P-450-containing MFO system and epoxide hydrase play
a critical role in both the metabolic activation and detoxification of many
constituents of POM.
Various forms of liver microsomal cytochrome P-450 can be isolated from
anj,mals treated with different enzyme inducers (Wiebel et al. 1973, Nebert and
Felton 1976, Conney et al. 1977, Lu et al. 1978). Moreover, the metabolite
profiles of B[a]P can be qualitatively altered depending on the type of
cytochrome P-450 present in the incubation mixture (Wiebel et al. 1975). This
observation has important implications in considering the carcinogenic action
of certain POM toward tissues from animals of different species, sex, age,
17
-------
nutritional status, and exposure to enzyme-inducing chemicals. Limited
evidence is also available indicating that multiple forms of epox-ide hydrase
exist among animal species, which may also influence the pattern of POM
metabolism with respect to carcinogenic bioactivation (Lu et al. 1978).
An important consideration in evaluating the health hazards of POM is
whether metabolism in various animals tissues and species is indicative of the
pattern of POM metabolism in the target organs of humans. Moreover, it is
essential to determine whether differences occur in the metabolism of POM by:
(a) different tissues in the same animal; and (b) different animals of the
same species.
Numerous studies have shown that quantitative differences exist in the
metabolism of B[a]P by different tissues and animals species (Sims 1976, Leber
et al. 1976, Wang et al. 1976, Pelkonen 1976, Kimura et al. 1977, Selkirk et
al. 1976). For the most part, however, interspecies extrapolation of
qualitative patterns of POM metabolism appears to be a valid practice. On the
other hand, marked differences in patterns of tissue-specific metabolism may
prevent the reliable extrapolation of data from hepatic to extrahepatic (i.e.,
target organ) tissues. These differences may also exist in human tissues
(Conney et al. 1976).
Freudenthal and coworkers (1978) examined the metabolism of B[a]P by lung
microsomes isolated from the rat, rhesus monkey, and man. Their results
confirmed previous observations regarding the existence of considerable
species and intraspecies variation in B[a]P metabolism among samples from the
same species. In addition, it was apparent that qualitative and quantitative
f
interspecies variation also existed (Table III-l). Nevertheless, the
qualitative differences between man and other animal species were by no means
dramatic, and probably do not compromise the validity of extrapolations
18
-------
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19
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concerning POM metabolism.
Patterns of B[a]P metabolism in human lymphocytes and human liver
microsomes are similar (Booth et al. 1974, Selkirk et al. 1975). However, in
cultured human bronchus (24 hours) and pulmonary alveolar macrophages, an
absence of phenols (i.e., 3-hydroxy-B[a]P) and paucity of quinones were
observed (Autrup et al. 1978). Instead, a relative abundance of the
trans-7,8-diol metabolite of B[a]P was demonstrated. This result is
noteworthy in light of the possibility that the 7,8-diol is capable of further
oxidative metabolism to an ultimate carcinogenic form of B[a]P. It is not
known whether a longer incubation period would have changed the pattern of
metabolite formation.
In summary, metabolism of constituents of POM is very complex although it
is catalyzed by the enzyme systems involved in the metabolism of B[a]P and
produces transient epoxide metabolites which, as a group, are known to be
carcinogenic. Although interspecies and intraspecies variations exist in the
metabolic profiles of aromatic hydrocarbons, there is evidence that
similarities in the qualitative patterns of metabolism of these compounds
among species allow interspecies extrapolations for the purpose of hazard
assessment and risk estimation.
Several generalizations seem applicable to most unsubstituted polycyclic
hydrocarbons, including the polynuclear aza-heterocyclic compounds identified
in Table II-l (U.S. EPA 1980a). Metabolic transformation may occur at
saturated carbon atoms to form in sequence, alcohols, ketones, aldehydes, and
carboxylic acids. More commonly, metabolic conversion at one or more aromatic
double bonds (K-region and non-K-region) leads to formation of phenols or
isomeric dihydrodiols through epoxide intermediates. Dihydrodiols can be
further metabolized to diol epoxides. Active intermediates are removed by
conjugation with glutathione or glucuronic acid or by further metabolism to
20
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tetrahydrotetrols. Glutathlone conjugates can be excreted in urine as
mercapturic acid.
Jerina et al. (1977, 1980) have supported the "bay region" theory which
proposes that diol epoxides can impart high biological activity when located
on angular benzene rings of polycyclic (polynuclear) aromatic hydrocarbons
and, furthermore, that the epoxide group forms part of the bay region in
carcinogenic compounds of this class. The hindered region between the 10 and
11 positions in the benzo[a]pyrene molecule is an example of a bay region.
Experimental data presented by Jerina et al. (1977, 1980) show that predicted
chemical reactivity for positional isomers of benzene ring diol epoxides of
specific polycyclic (polynuclear) aromatic compounds commonly correspond to
their demonstrated mutagenic and tumorigenic activities. For example, Jerina
et al. (1977) presented results from mutagenicity tests with Salmonella
typhimurium TA 100 on diol epoxides derived from non-K-region dihydrodiols of
benzo[a]anthracene to indicate a substantially greater mutagenic effect with
benzo[a]anthracene 3,4-diol-l,2-epoxides (isomer 1 and 2) compared to
corresponding 8,9-diol-10,ll-epoxide isomers and 10,ll-diol-8,9-epoxide
isomers. Hence, it appears that, in aromatic hydrocarbons containing four or
more benzene rings, the metabolic transformation of polycyclic (polynuclear)
aromatic hydrocarbons to their ultimate carcinogenic (dihydrodihydroxyepoxy)
forms is explainable by the bay region concept.
It should be noted that, according to Santodonato and Howard (1981), the
metabolism of polynuclear aza-heterocyclic compounds per se largely remains to
be investigated; therefore, the above generalizations on the metabolism of
this class of compounds are mainly inferred from known metabolic
characteristics of their homocyclic analogs, the polynuclear aromatic
hydrocarbons.
21
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AROMATIC AMINES
A general discussion on the metabolism of aromatic amines, which include
a- and 3-naphthylamines, is presented in a National Research Council (1981)
assessment document on aromatic amines and is summarized herein. Aromatic
amines are primarily metabolized by oxidation, and oxidation at the nitrogen
atom or at carbon atoms in the aromatic ring may occur. Oxidation of primary
amines may occur according to the following scheme:
H
NOH
-N =
amine
hydroxylamine
nitroso
-N02
nitro
Little evidence is available to indicate that aromatic amines are oxidized
to nitro compounds. Secondary and tertiary amines are also oxidized at the
nitrogen atom. Dealkylation of tertiary to secondary amines may occur, and
hydroxylamines may be formed from partial N-dealkylation of secondary amines.
Hydroxylation of the aromatic ring results from activation of the free
amine group in aromatic amines. Primary hydroxylation occurs at the three
position of 1-naphthylamine and the one position of 2-naphthylamine.
Transformation of aromatic amines to metabolites that can react with
cellular macromolecules can occur by an initial oxidation at the nitrogen atom
followed by a second activation.
Probably the main detoxification route is conjugation of the hydroxyl
groups of metabolites of aromatic amines with glucuronic acid. Aromatic
amines can also be conjugated with sulfate, and primary amines can be
acetylated by several animal species.
22
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OTHER AROMATIC COMPOUNDS
Benzene metabolism is summarized in a U.S. EPA (1980b) water quality
criteria document. Benzene is metabolized to phenol as well as catechol and
hydroquinone. The major hydroxylation product is phenol, most of which is
found in urine conjugated with ethereal sulfate or glucuronic acid.
Phenylmercapturic acid and muconic acid also have been found as urinary
metabolites. The formation of phenol through an epoxide intermediate of
benzene has been proposed. Additional metabolic transformations for the
proposed epoxide intermediate of benzene include hydration and subsequent
oxidation to form catechol and conjugation to form premercapturic acid.
Hydroquinone production from mixed-function oxidase activity on phenol is also
possible. In humans, conjugation of phenol has been found to occur largely
with sulfate at low levels of benzene exposure and increasingly with
glucuronide with increasing benzene exposure.
The metabolism of phenol is summarized in a U.S. EPA (1980c) water quality
criteria document. Phenol is almost completely metabolized in humans with the
four main metabolites as sulfate and glucuronide conjugates of phenol and
hydroquinone. In rabbits, most phenol is oxidized to carbon dioxide and water
plus traces of 1,2-dihydroxybenzene and 1,4-dihydroxybenzene or is excreted in
urine as free or conjugated phenol.
As described in a Carcinogen Assessment Group (1980a) draft report on
toluene, the major pathway for toluene metabolism involves oxidation of the
methyl group to benzyl alcohol with further oxidation to benzaldehyde and
benzoic acid. Benzoic acid is mainly conjugated with glycine in the liver to
form hippuric acid. Small amounts of toluene may..be converted to phenols
(4-cresol, 2-cresol) via an epoxide intermediate.
Xylene metabolism is described in a U.S. EPA (1980d) hazard profile on
23
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xylene. Xylene isomers (m-, o-, p-) can be oxidized to the corresponding
methyl benzoic acid which is conjugated with glycine or glucuronic acid.
Xylene isomers can also undergo ring hydroxylation to corresponding xylenols
(dimethylphenols) which can also be conjugated to form glucuronides or
ethereal sulfates. Methyl hippuric acid, a glycine conjugate of methyl
benzoic acid, has been found as the main urinary metabolite in experiments on
m- and p- xylenes. Paratolualdehyde has been identified as a metabolite of
p-xylene.
TRACE ELEMENTS
Metabolic transformation generally does not appear to serve a major role
in toxification/detoxification of the trace elements (metals) identified in
Table II-l. Discussion of this issue is summarized from U.S. EPA (1980e-j)
water quality criteria documents on the specific elements and from Venugopal
and Luckey (1978).
Pentavalent and trivalent arsenic is metabolically transformed mainly to
dimethylarsinic acid. Methylation of inorganic arsenic can serve as a
detoxification mechanism. The nature of the conversion of the pentavalent
form to the trivalent form, which can occur in vivo, remains unclear.
Trivalent arsenic can readily bind to tissue macromolecules at, for example,
sulfhydryl and hydroxyl groups, whereas pentavalent arsenic is less readily
bound (U.S. EPA 1980e).
Beryllium can bind to inhibit several enzymes and it can be concentrated
in cell nuclei. The bulk of circulating beryllium is in the form of colloidal
phosphate probably absorbed on plasma a-globulin. Relatively minor amounts of
beryllium can be combined in a diffusible form with organic acids such as
citrate or phosphate (U.S EPA 1980f).
,24
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Circulating chromium is mainly bound in a nondiffusible form with
proteins. At low levels, trivalent chromium is mainly bound to the
iron-binding protein, siderophilin. Chromium can presumably penetrate cells
in a hexavalent state and subsequently react with cell components.
Tetravalent chromium is reduced to trivalent chromium in cells. The chemical
form of chromium influences its pattern of biodistribution (U.S. EPA 1980g).
Cadmium has no known function in metabolism. It can be bound to
metallothionein protein, especially in erythrocytes, liver, and kidney.
Cadmium in plasma is bound to high-molecular-weight proteins (U.S. EPA 1980h).
Cobalt can be retained in several tissues. Cobalt stored in intestinal
mucosa can be lost through epithelial desquamation. Cobalt can be eliminated
from the body as a cobalt-histamine complex (Venugopal and Luckey 1978).
Orally administered iron is absorbed across the gastrointestinal mucosal
epithelium by a mediated transfer mechanism. Most circulating iron is bound
to transferrin. Iron is primarily stored as ferritin or hemosiderin in liver,
bone marrow, and spleen (Venugopal and Luckey 1978).
Lead is mainly deposited in bone and smaller amounts are stored in soft
tissues (Venugopal and Luckey 1978).
Nickel is stored in body tissues and can be bound to metal!oprotein (U.S.
EPA 1980i).
Little is known about selenium biochemistry in mammalian systems. At
nutritional levels selenium is incorporated into specific functional proteins;
at higher levels selenium can bind to molecules normally combined with sulfur.
The main urinary metabolite of selenium is trimethylselenium ion. Inorganic
selenium usually does not combine with amino acids (U.S. EPA 1980J). Selenium
can also function as an inhibitor of tumor induction by chemical carcinogens.
25
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OTHER GASES
Ammonia can be converted to urea in the liver. Ammonia is also formed
endogenously by deamination of ami no acids and amides and by bacterial
conversion of urea in the gut (U.S. EPA 1980k).
Carbon disulfide is lipid soluble and binds to proteins. It can react
reversibly with amino acids to yield thiocarbamates. Sulfur released during
desulfuration of carbon disulfide can form covalent bonds with other sulfur
radicals. Carbon disulfide metabolites in human urine include mainly thiourea
and also mercaptothiazolinone and possibly 2-mercapto-thiazoline-4-carbamic
acid. It can be desulfurated in the liver to form carbonyl sulfide which is
further oxidized to form C02. Bivalent sulfur can also be formed which is
oxidized to sulfate (World Health Organization 1979).
Carbon monoxide combines with hemoglobin to form carboxyhemoglobin, and it
can also reversibly bind with cellular heme groups'(U.S. EPA 19801).
The main metabolic pathway for hydrogen cyanide is conversion to
thiocyanate via rhodanase. Minor pathways include conjugation of cyanide with
cysteine to form 2-iminothiazolidene-4-carboxylic acid, binding of cyanide
with hydroxocobalamin, and excretion of unchanged hydrogen cyanide through the
lungs. Cyanide can also be converted to formate and carbon dioxide (U.S. EPA
1980m).
Hydrogen sulfide can be detoxified by oxidation to inorganic sulfur on
interaction with oxyhemoglobin. Sulfide ions can be oxidized to sulfate or
thiosulfate ions (Roy and Trudinger 1970).
The nature of absorption and biodistribution of nitric oxide is presently
unknown; however, nitric oxide can react with hemoglobin to form methemoglobin
and nitrosylhemoglobin (Goldstein et al, 1980). Nitric acid is known to react
in vivo with amines to yield N-nitrosamines, many of which are known animal
carcinogens (Magee et al. 1976).
26
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IV. MUTAGENICITY* AND CELL TRANSFORMATION
The objective of this mutagenicity evaluation is to determine whether or
not coke oven emissions have the potential to cause somatic mutations in
humans. This evaluation is a qualitative assessment based on two kinds of
available information: (1) data concerning the mutagenic potential of the
complex mixture of coke oven door emissions and the complex mixture from the
coke oven collecting main, and (2) data concerning the mutagenic potential of
the individual components that have been identified in coke oven emissions.
To briefly summarize the findings, the complex mixture of organics extracted
from coke oven door emissions was detected as mutagenic in bacteria. The
solvent-extracted organics of the material sampled from the coke oven
collecting main caused mutations in bacteria and mammalian cells in culture.
Chemical analysis of coke oven emissions has revealed the presence of several
components (e.g., certain polynuclear aromatic hydrocarbons, aza-heterocyclic
compounds, aromatic amines, etc.) known to be genotoxic when evaluated
individually in various mutagenicity tests. In addition, there are studies
that show that air particulates collected topside of coke oven batteries are
mutagenic in bacteria and mammalian cells in vitro. The available data
concerning the mutagenicity of coke oven emissions and air particulates
collected topside of coke ovens are discussed below.
STUDIES EVALUATING SOLVENT-EXTRACTABLE ORGANICS OF COKE OVEN DOOR EMISSIONS
Data concerning the potential mutagenic hazard of coke oven emissions is
limited to one bacterial study sponsored by the U.S. Environmental Protection
Agency's Office of Research and Development (U.S.-EPA 1977b). In this study,
a sealed hood was fitted over the door of a coke oven, and emissions leaking
*Prepared by the Reproductive Effects Assessment Group.
27
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from the coke oven door were collected during an approximately 13-hour coking
cycle. Particulate emissions were collected on the filter of a high volume
sampler and volatile organics were collected on a Tenax-GC adsorbent column.
Several samples were collected representing different time segments of the
coking cycle (as shown below). Samples collected later in the coking cycle
represent longer time segments because emissions from the doors decreased as
time increased into the coking cycle.
Sample Extracts
Absorbent Filter
Length of Sampling Segments
Al
A3
A5
A6
A1F
ASF
ASF
(hr)
1 (represents the first hour of the coking cycle)
2 (represents the beginning of the third hour up
to the fifth hour)
5 (represents the beginning of the ninth hour
through the thirteenth hour)
— compressor air supply (blank)
The adsorbent column samples were soxhlet-extracted with the nonpolar
solvent pentane for 24 hours and the filter samples were soxhlet-extracted
sequentially with the more polar solvents methylene chloride and methanol
(approximately 3 days). The seven sample extracts were evaluated at seven
concentrations ranging from 5 ul to 10.0 ul of sample (in 50 ul of DMSO) in
the Salmonel1 a/mammalian microsome plate incorporation assay using the
standard tester strains TA 100, TA 98, TA 1535, TA 1537, and TA 1538.
Positive responses in TA 98 were observed without S-9 mix for the filter
extract samples A1F, ASF, and A5F (see Figure IV-1 A). A weak positive
response (twofold increase) was observed in TA 1538 (minus S-9 mix) for the
filter extract A1F. The addition of S-9 mix (prepared from rat livers)
28
-------
29
-------
greatly enhanced the mutagenic response for all filter extract samples in
strains TA 98, TA 100, TA 1538, and TA 1537. The filter extracts were not as
active in TA 100 as they were in the other tester strains. These responses
appeared as concentration-related increases in revertant colonies (see Figure
IV-1 B). "Toxic effects" were reported for sample A5F at 10 ul. A1F, ASF,
and ASF were not detected as mutagenic in the base-pair substitution sensitive
strain TA 1535 in the absence or presence of S-9 mix. .
The adsorbent column extracts Al, A3, A5, and A6 (compressor air supply)
were evaluated for mutagenicity in the same manner as the filter extracts. No
mutagenic activity was detected in the absence of S-9 mix. In the presence of
S-9 mix, the absorbent column extracts Al and A3 were detected as weakly
mutagenic in frameshift-sensitive strains. Sample Al was detected as positive
in the frameshift-sensitive strain TA 1537, whereas in the other strains (TA
1538, TA 98, and TA 100), the responses were similar to the spontaneous
revertant counts, or the positive responses that were reported either appeared
as nonreproducible or not concentration-related. Sample A3 was detected as
weakly positive in strains TA 1537 and TA 1538, but was not detected as
mutagenic in strains TA 98 and TA 100. The mutagenicity of sample A5 was
inconclusive because the positive responses reported were not reproducible.
"Toxic effects" were reported for A5 at the high concentrations. The
absorbent extracts were not detected as positive in TA 1535 with or without
S-9 mix. The compressor air supply sample (A6) was not detected as positive
under any of the treatment conditions. It should be emphasized that volatile
components were collected on the absorbent column and that highly volatile
components may not be effectively detected as mutagenic unless precautions are
taken to prevent excessive evaporation and thus ensure exposure to the
indicator organisms. Such measures were not reported to have been taken for
30
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the absorbent extracts.
The above study of solvent-extracted organics of filter and absorbent
samples demonstrated that coke oven door emissions caused frameshift mutations
in bacteria. The mutagenic responses required or were enhanced by a mammalian
microsomal activation system. This finding is consistent with mutagenicity
studies of several individual components identified in the complex mixture as
frameshift-acting mutagens requiring metabolic activation. Information on the
mutagenicity of individual constitutents will be summarized later in this
section.
STUDIES EVALUATING THE COMPLEX MATERIAL FROM THE COKE OVEN COLLECTING MAIN
In addition to the study on coke oven door emissions, a related complex
material was sampled by EPA (Huisingh et al. 1979) from a coke oven collecting
main (where the coke oven gas resulting from carbonization cools and
condenses). This sample was collected from a separator collector located
between the gas collector main and the primary coolers within the coke oven
battery (Huisingh 1981, unpublished) at the same coke plant (located in
Gadsden, Alabama) used by Huisingh et al. (1979) to sample air particulates
topside of a coke oven battery referred to later. The coke oven main sample
was dissolved in DMSO to test in a variety of in vitro mutagenicity assays.
It should be noted that although this complex mixture is derived from coke
oven emissions condensate and contains similar components, it is still
qualitatively and quantitatively different in composition from coke oven
emissions.
31
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The coke oven main sample was tested twice in the Salmonella/microsome
plate incorporation assay on separate days using tester strains TA 1535, TA
100, TA 98, TA 1538, and TA 1537 (Claxton and Huisingh 1981, unpublished).
This coke oven condensate was not detected as mutagenic in the base-pair
substitution-sensitive strain TA 1535 in the absence of S-9 mix up to a
concentration of 500 ug/plate of test material (precipitate formed at this
concentration) or in the presence of S-9 mix (livers were prepared from
Aroclor-induced rats) up to a concentration of 100 ug/plate of test material.
The frameshift-sensitive strains TA 1537, TA 1538, and TA 98 gave marginal
responses in the absence of S-9 mix (twofold or less increase in revertant
colonies above the spontaneous values) at the highest concentrations examined.
However, these responses were interpreted as inconclusive because they did not
appear as reproducible or concentration-related. Strain TA 100, a base-pair
substitution-sensitive strain that is also sensitive to frameshift mutagens
(McCann et al. 1975), was weakly reverted (approximately twofold increase in
revertants above the solvent control counts) without metabolic activation in
two different trials. When S-9 mix was incorporated in the assay, the number
of revertant colonies per plate was greatly increased above the spontaneous
values for strains TA 100, TA 1538, and TA 98. These positive responses
appeared as concentration-related increases in revertant colonies and were
reproducible. Therefore, from these studies, it appears that the coke oven
main sample was primarily detected as indirect-acting in frameshift-sensitive
strains.
Mitchell (1981, unpublished) evaluated the ability of the coke oven main
sample to induce gene mutations in L5178Y mouse lymphoma cells with and
without a, rat liver microsomal activation system (S-9 mix prepared from livers
of Aroclor-induced rats). The concentrations evaluated (in duplicate) in the
32
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absence of metabolic activation ranged from 0.5 ug/ml to 50 ug/ml in one
experiment, 30 ug/ml to 70 ug/ml in another, and 20 ug/ml to 150 ug/ml in a
third experiment. At 50 ug/ml, 70 ug/ml, and 150 ug/ml, total relative
growths* of 70%, 61%, and 21%, respectively, were reported. Concentrations
above 70 ug/ml were reported to form a precipitate. Concentrations ranging
from 0.5 ug/ml to 70 ug/ml did not increase the frequency of mutant colonies
over that of the solvent control by more than twofold. In an assay in which
the test material was evaluated up to 150 ug/ml, a fourfold increase in mutant
colonies over the solvent control frequency was reported at 150 ug/ml.
However, precipitates in samples from concentrations of 60 ug/ml to 150 ug/ml
were reported to be "overlooked" by the investigators during the exposure and
wash steps and not noticed until later. Because these precipitates may have
been present during the expression and selection periods of the test, the
interpretation of the dose-dependent response is difficult. Thus, based on
these data, it is inconclusive whether or not the test sample was mutagenic in
the absence of S-9 activation. In the presence of metabolic activation,
however, the test material was mutagenic in two separate trials. Because the
test material was more cytotoxic in the presence of metabolic activation than
in its absence, the retesting of the material for its ability to induce mutant
colonies was conducted over a narrow range of concentrations (0.5 ug/ml to 10-
ug/ml). At concentrations (5 ug/ml, 6 ug/ml, and 8 ug/ml) that did not
appreciably reduce total relative growth less than 30%, approximately twofold
to threefold increases in mutant colonies above the spontaneous frequencies
(solvent control) were reported.
The genetic effects of the coke oven main sample were also determined in a
*Percentage of relative total growth = (relative suspension growth/relative
cloning efficiency) x 100.
33
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Saccharomyces cerevlsiae D3 preincubation assay for mitotic recombination
(Mortelmans et al. 1980, unpublished). Prior to plating in agar, yeast cells
were preincubated with the test material at a concentration range of 50
ug/plate to 5,000 ug/plate for 2 hours in the absence or presence-of S-9 mix.
When tested twice under the above conditions, recombinogenic activity did not
differ from the solvent control and no toxic effects were reported. It should
be noted that the known mutagens benzo[a]pyrene and 2-nitrofluorene were also
detected as negative in this assay. The concurrent positive control
1,2,3,4-diepoxybutane, a direct-acting mutagen, greatly enhanced
recombinogenic frequency, thus indicating the system was working properly
without S-9 activation. Therefore, these negative results are most likely a
reflection of the sensitivity of the assay.
Even though the coke oven collecting main sample is not a true
representative sample of coke oven emissions, it does contain similar
components that may be emitted. Thus, the mutagenic responses observed in
bacteria and in mammalian cells in culture are considered as supportive
evidence for the mutagenicity of coke oven emissions.
STUDIES EVALUATING SOLVENT-EXTRACTABLE ORGANICS OF AIR PARTICULATES COLLECTED
ON TOP OF COKE OVENS
Although these are not studies of "pure" coke oven emissions per se, two
reports discussed below have bearing on the mutagenicity of coke oven
emissions. These studies show that air particulate samples collected topside
of coke ovens are mutagenic in in vitro bioassays.
In a study conducted in Japan, the relative mutagenic activity was
concurrently determined for air particulates from a coke mill and other
industrial areas and for ambient air particulates from various residential
areas (Tokiwa et al. 1977). Air particulates were collected on glass fiber
34
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filters for 24 hours or 48 hours from six different locations in industrial
areas of Ohmuta City and from six different locations in residential areas of
Fukuoka City using a high air-volume sampler.*
A high air-volume sampler would collect all particle sizes, i.e.,
respirable (< 1.7 urn in diameter), nonrespirable (> 5 urn), and noninhalable
(> 15 urn). Information concerning sample collection (e.g., wind-direction
during sampling) was not provided in the report. Although the position of the
samplers also was not described in the report, Tokiwa (1981, unpublished)
indicated in a letter to the Reproductive Effects Assessment Group (REAG)t
that the sampler at the coke mill (sample 123) was located on top of a coke
oven for 48 hours. For the other industrial samples, Tokiwa only indicated
that collection points were around "several factory [sic] in the city." The
residential samples were collected in heavily trafficked areas. The organics
bound to the air particulates were soxhlet-extracted with methanol for 8
hours. Because methanol is a polar solvent, it will preferentially extract
more polar types of organics from the air particles. It should be noted that
Jungers et al. (1980) have found methanol to be less effective at extracting
mutagens from air particulates than dichloromethane (the solvent used in a
study by Huisingh et al. 1979, which is discussed later). The methanol
extracts were evaporated to dryness and dissolved in DMSO for mutagenicity
testing in the Salmonella/microsome assay using tester strains TA 1535, TA
1536, TA 1537, TA 1538, TA 100, and TA 98 with and without a mammalian
activation system (S-9 mix prepared from livers of Aroclor-induced rats). The
authors stated in the report that in the absence or presence of S-9 mix, the
*0hmuta and Fukuoka are within approximately 80 miles of each other.
tA written request was made to Tokiwa to secure information concerning the
location of the samplers.
35
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solvent-extracted organics of air participates collected topside of a coke
oven were not detected as mutagenic in the base-pair substitution-sensitive
strains TA 1535 and the frameshift-sensitive strain TA 1536, but were
mutagenic for the frameshift-sensitive strains TA 1537, TA 1538, TA 98, and
the base-pair substitution-sensitive strain TA 100, which is also sensitive to
certain frameshift-acting mutagens. The data generated in the presence of S-9
mix are illustrated in Figure IV-2. The extracted organics were most active
in strain TA 98. Although the authors indicate in the report that the topside
coke oven sample was evaluated without S-9 mix, they do not report the
results. Towika (1981, unpublished) indicated that the positive responses
observed in the absence of S-9 activation "was very low." Thus, it appears
that the mutagenicity of this complex mixture was primarily detected as
indirect-acting. Chemical analysis (GC/MS analysis) of the topside coke oven
sample revealed the presence of several polycyclic aromatic hydrocarbons known
to be frameshift-acting mutagens requiring metabolic activation (e.g.,
chrysene, dibenzoanthracenes, benzoanthracenes, benzopyrenes,
benzofluoranthenes).
In the report by Tokiwa et al. (1977), it was found that air particulates
from industrial areas, particularly those collected topside of a coke oven,
were more mutagenic than air particulates from residential environments. As
shown in Table IV-1, the mutagenic activity in strain TA 98 (in the presence
of S-9 mix) of air particulates collected topside of a coke oven in Ohmuta and
other industrial sources is compared with the mutagenic activity of ambient
air particulates from residential areas.* This comparison was based on data
expressed as revertants per cubic meter (m3) of air. The authors do not
*It should be noted that the mutagenic activity of ambient air may vary
over time and with weather conditions.
36
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700 ..
600 _
0)
R
3400
'300 __
200 __
100 --
TA. 98
TA 1538
TA. 100
TA. 1537
TA. 1535
TA 1536
200
400 600 800
ug per plate
1000
Figure IV-2. Mutagenic activity of methanol extracts of air participates
collected topside of a coke oven. The extracted sample was evaporated and
diluted in DMSO for evaluation in the Salmonel1 a/mammalian microsome assay
in the presence of S-9 mix (taken from Tokiwa et al. 1977).
37
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TABLE IV-1. SUMMARY OF THE MUTA6ENIC ACTIVITY IN SALMONELLA TYPHIMURIUM
OF ORGAN ICS EXTRACTED FROM AIR PARTICULARS UOLLECTtU
IN INDUSTRIAL AND RESIDENTIAL AREAS OF JAPAN*
Sample Number
Revertants per n)3 air
Industrial Areast
123 (coke mill)
160
161
162
163
164
445.0
288.0
94.0
22.2
138.0
103.0
Residential Areas§
86
152
21
150
64
126
12.4
77.6
12.3
52.4
13.2
7.1
^Samples were collected in the industrial areas of Ohmuta and residential
areas of Fukuoka. The mutagenicity of samples was evaluated with Salmonella
typhimurium TA 98 in the presence of S-9 mix (taken from Towika et al. 1977).
tSample numbers 161, 163, and 164 were not identified except as
industrial areas. Sample 160 was identified as ambient air collected in the
middle of factory districts. Sample 162 was identified as a sample collected
far from the factory districts.
§Samples were identified only as residential areas at heavily trafficked
locations.
38
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discuss how the values for revertants/m3 were derived. It appears from the
report that the number of revertants per m3 of air was determined only from
the highest concentrations tested for each sample and that the mutagenic
activities were not.expressed as the slope of the dose-response curves (i.e.,
number of revertants per ug increase in concentration). Determination of the
slopes of the dose-response curve provides a better reflection of the
mutagenic potency rather than simple selection of one dose point from the
dose-response curve. However, from examination of the dose-response curves
illustrated in the report and reproduced in Figure IV-3, all of the samples
from residential areas and the topside coke oven sample (123) caused linear
dose-responses in strain TA 98. Thus, the mutagenic activity (i.e.,
revertants/m3) determined from the highest concentration tested should be
very similar to the mutagenic activity expressed as the slope of the linear
dose-response curve. However, because some of the industrial samples follow a
nonlinear response* at the high concentrations tested, regression analyses are
necessary to determine if the topside coke oven sample is significantly
different than some of the other industrial sources. Therefore, this study
shows that, the mutagenic activity (expressed as revertants per m3 of air)t
of solvent-extracted organics of air particulates collected topside of a coke
oven is 6- to 63-fold higher than the mutagenic activity of organics extracted
from ambient air collected at trafficked locations in residential areas.
Air particulates also have been collected topside of a coke oven battery
*0ne major problem with evaluating complex environmental mixtures in the
Ames test (or other short-term tests) is high toxicity. Many times the
dose-response follows a nonlinear pattern at higher concentrations (Stead et
al. 1981).
tThe topside coke oven sample also appeared more mutagenic than
residential samples (but not for the other industrial sources) when the data
were expressed as revertants/ug.
39
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40
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located in Gadsden, Alabama (Huisingh et al. 1979). Huisingh (1981,
unpublished) described this coke oven battery as "a newer generation of coke
ovens designed to reduce fugative coke oven emissions." Air particulates
(size < 1.7 urn) were collected for approximately 2100 hours on electrostatic
precipitator plates of two massive air volume samplers (collection rate 17.3
m3/min each) positioned side by side at one end of a coke oven battery. The
organics bound to the particulate matter were soxhlet-extracted with
dichloromethane (DCM) and tested for their mutagenic potential in several jni.
vitro bioassays by different investigators. This topside coke oven sample was
found to cause point mutations in Salmonella typhimurium and gene mutations,
sister chromatid exchange formation, and DMA strand breaks in mammalian cells
in culture. These results are briefly described below.
Concentration-related increases in revertant counts were reported with the
frameshift-sensitive strain TA 98 when the topside coke oven extract was
tested at 25, 75, 125, 250, 750, and 1250 ug/plate (Claxton 1979 and
unpublished data). A positive response was also reported for strain TA 100.
The addition of S-9 mix (prepared from livers of Aroclor-induced rats)
slightly increased the mutagenic response (an approximately twofold increase
in revertant colonies above those induced in the absence of S-9 mix) in TA 98
but not in TA 100. Negative results were reported for the base-pair
substitution-sensitive strain TA 1535 in either the presence or absence of S-9
mix.
Mitchell et al. (1979) examined the ability of the topside coke oven
extract to cause gene mutations using L5178Y mouse lymphoma cells. Following
a fixed treatment time (4 hours), a concentration-related increase in
trifluorothymidine-resistant colonies was observed in three separate trials
in the absence of in vitro metabolic activation. For example, at
41
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concentrations that did not reduce the relative total growth* below 40% (50
ug/ml to 100 ug/ml), induced mutant frequencies up to approximately three
times the spontaneous mutant frequencies were reported. The addition of S-9
Aroclor-induced rat liver enzyme activation caused an increase in
cytotoxicity. Based on the results of a single experiment conducted at
concentrations up to 25 ug/ml, the addition of S-9 metabolic activation
appeared to enhance the response in a concentration-dependent manner; for
example, at 17.5 ug/ml (45% relative total growth), a fourfold increase in
mutant colonies above the spontaneous values was observed.
In a second gene mutation assay using mammalian cells in culture, Curren
et al. (1979) reported that several different concentrations of the topside
coke oven extract sample enhanced the frequency of ouabain-resistant colonies
above the spontaneous frequency in mouse BALB/c 3T3 cells in the absence of in
vitro metabolic activation; but for this response, there was no
concentration-dependent increase. In the presence of metabolic activation
(Aroclor-induced rat liver S-9 mix), an increase in the number of
ouabain-resistant clones was also reported. However, the authors indicated
that the spontaneous mutation frequency was significantly higher than the
historical values observed for that cell line, thus making interpretation of
the results difficult. Because of the problems described above and because
neither the toxicities nor mutation frequencies of the concentrations examined
were reported, the positive results of this study are considered questionable.
The ability of the topside coke oven extract to cause gene mutations in
mammalian cells was also evaluated by a third laboratory using the CHO/HGPRT
assay (Casto et al. 1979, 1980). Increases in v arrant colonies were only
observed at high cell killings. For example, at 200 ug/ml (82% cell killing)
^Percentage of relative total growth = (relative suspension growth/relative
cloning efficiency) x 100.
42
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a threefold Increase In 6-thioguanlne (6T6) resistant colonies above the
negative control was reported. It should be noted that concurrent positive
controls were not included in the study design. Also, S-9 liver enzyme
activation was not incorporated in the study design.
Mitchell et al. (1979) evaluated the ability of the coke oven sample to
cause sister chromatid exchange (SCE) formation in Chinese hamster ovary cells
with and without S-9 activation. The results of a single experiment indicated
that the coke oven sample caused an increase in DNA damage in a
concentration-dependent manner as measured by SCE formation. At the highest
concentrations tested, an approximately twofold increase in SCE formation
above the solvent control was reported for experiments in the presence and
absence of S-9 mix. The percentage^ cell survival or effect on mitotic
induction of the concentrations tested (up to 250 ug/ml for 2 hours in the
presence of S-9 mix, and up to 31 ug/ml for 21.5 hours in the absence S-9 mix)
was not reported; however, the authors indicated that the highest
concentration yielded a sufficient number of M2 metaphases (i.e., cells that
had divided twice) for analysis. When Casto et al. (1979) treated a culture
of Syrian hamster embryo cells with 250 ug/ml or 125 ug/ml of the coke oven
extract for 18 hours in the absence of exogenous metabolic activation, DNA
strand breakage was detected as determined by sedimentation profiles in
alkaline sucrose gradients.
Mitchell et al. (1979) reported that, in the absence of S-9 mix,
recombinogenic activity in Saccharomyces cerevisiae D3 was not detected after
a 4-hour fixed treatment time at concentrations of the coke sample ranging
from 10 ug/ml (100% survival) to 1000 ug/ml (61% survival) or when re-tested
at 100 ug/ml survival) to 1000 ug/ml (100% survival). Although a slight
43
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increase was observed in the presence of in vitro metabolic activation, the
results were not concentration-related or reproducible and thus are considered
negative.
In the Gadsden study it should be noted that the samplers were positioned
at the end of the coke oven battery with the prevailing wind direction upwind
from the coke oven (Kew 1981, Huisingh 1979). Thus, the 2100-hour sample
collected was diluted with ambient air. The exact extent of the dilution is
not known, but it is thought to be significant (Workshop on Diesel Engine
Exhaust 1981). Although dilution with ambient air occurred, chemical analysis
showed that the polynuclear aromatic hydrocarbon content is not typical of
ambient air (Huisingh 1981, Strup and Bjorseth 1979). (The sampler position
and wind conditions during collection are not available for the 48-hour sample
of the Ohmuta study.) Nevertheless, because the Gadsden sample was from a
single source and was apparently diluted significantly with ambient air
particulates, the mutagenic potency of this sample may not be represent!ve of
air particulates found topside of "controlled" coke ovens. Also, the Gadsden
(and the Ohmuta) study did not involve a concurrent collection of samples from
a moderate distance upwind and downwind from the coke oven battery to enable a
determination of background mutagenic activity for the immediate vicinity.
Both the Ohmuta study by Towika et al. (1977) and the Gadsden study by
Huisingh et al. (1979) show that air particulates collected topside of coke
ovens are mutagenic in Salmonella. The Gadsden sample was also mutagenic in
mammalian cells in vitro. These studies have bearing on the mutagenicity of
coke oven emissions because the samples were collected on the top of coke
ovens. Although the mutagenic activity cannot be exclusively attributed to
coke oven emissions because of the ambient air contamination (particularly in
44
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the Gadsden study), these emissions are a likely source of mutagenic air
parti culates.
In the aforementioned discussions on data concerning complex mixtures, it
should be cautioned that there are problems associated with using short-term
tests to ascertain the mutagenic potency of complex environmental mixtures
which are usually comprised of hundreds of components. For example, potential
mutagenic components present at low concentrations in the complex material may
not be detected because their activity is overridden by the high toxicity of
other components (Epler et al. 1979, 1980). Highly volatile components will
not be detected as mutagenic unless precautions are incorporated into the
study design to prevent excessive evaporation and thus ensure exposure of the
indicator organisms. Such measures were not reported to have been taken in
the studies mentioned above on coke oven-derived products and thus the results
may not reflect the magnitude of the mutagenic potential of these materials.
In addition, the organics screened for coke oven emissions were
solvent-extracted and only those organics extracted with those particular
solvents would have been evaluated for their mutagenic activity. Moreover,
the activation system employed (in the cases above, the S-9 fraction was
derived from livers of Aroclor-induced rats) may not effectively metabolize
some potential promutagen components in the mixture (Dent 1979, Rao et al.
1978). Based on these considerations, it must be stressed that the tests to
assess the mutagenicity of coke oven emissions, coke oven main sample, and air
particulates collected topside of coke ovens were conducted using standard
protocols and the concern is raised that the results obtained may
underestimate the actual mutagenic potential of the material.
45
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STUDIES EVALUATING URINE CONCENTRATES OF COKE PLANT WORKERS
Within a coke plant, coke oven battery workers have a high exposure to
coke oven emissions, which are comprised of known mutagens and are a source of
polycyclic organic matter. A method to demonstrate human exposure to mutagens
is bacterial mutagenicity testing of body fluids (e.g., urine, blood, feces).
In a study conducted by Moller and Dybing (1980), urine concentrates from
coke plant workers were evaluated for their mutagenic effects in the
Salmonel1 a/mammalian microsome assay. Urine was collected before and after
work from 10 workers who smoked 10 to 20 cigarettes per day (workers rolled
their own cigarettes) and from 10 workers who did not smoke. The personal
exposure to polycyclic organic matter (POM) varied greatly among the workers
within each group (i.e., smokers versus nonsmokers). As shown below, three
job types were sampled: foremen, truck drivers, and coke oven battery workers.
Job Types
Smokers
Nonsmokers
coke oven battery workers
truck drivers
shift foreman
5
4
1
2
6
2
Within the job type "coke oven battery workers," there are different
levels of exposure to POM or coke oven emissions. However, this general class
(which includes larry car operators, door cleaners, push car operators, etc.)
«
would have a higher exposure to POM than would the other two job types, "truck
drivers" and "shift foreman." Ten nonplant workers who smoked and four
nonplant workers who were nonsmokers served as control groups. The chemicals
and/or their metabolites in urine samples were absorbed on a nonpolar resin
46
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column (XAD-2) and diluted with acetone. It should be noted that the
extraction and concentration methods can influence the ability to detect
mutagenic metabolites in the urine. After the urine samples were evaporated
to dryness, they were dissolved in DMSO for mutagenicity testing in the plate
incorporation assay using the Salmonella tester strains TA 100 and TA 98. The
authors stated that preliminary results showed that very little or no
mutagenic activity was detected with strain TA 100 (data not reported) and
thus they used strain TA 98 for further studies. The authors concluded that
the mutagenic activity of urine from POM-exposed nonsmokers was not
significantly different at the 95% level when compared to the mutagenic
activity of nonexposed nonsmokers or to the spontaneous revertant counts. It
is difficult to interpret these results because of the following deficiencies
in the reporting of the data or in the study design: (1) it is not clear from
the report if the authors' conclusions are based on experiments conducted in
the presence or absence of S-9 mix, (2) individual revertant counts (data are
illustrated in histogram) and positive control data are not reported, (3) it
appears that the authors tested only one concentration of urine instead of a
range of concentrations, (4) the authors used a Student's t-test to compare
the POM-exposed group to the nonexposed group and did not compare individuals
of a certain job type (i.e., exposure level) to the control population (The
authors refer to each test person by number and do not identify the job type
or exposure level of each number.), and (5) only two workers with high POM
exposure job types (coke oven battery workers) are included in this
nonsmoker-POM-exposed group.
The urine of the smoker-POM-exposed group was reported as mutagenic only
in the presence of S-9 mix (prepared from livers of Aroclor-induced rats). It
was reported that the addition of g-glucuronidase (which hydrolyzes possible
47
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conjugates) to the urine concentrates did not enhance the mutagenic effects
observed in tester strain TA 98. The authors concluded that the ROM-exposed
smokers did not differ at the 95% level from nonexposed smokers. Again, the
authors are comparing one group with another and not individuals with certain
exposure levels to the control population. They do state in the report that a
suggestion of higher mutagenic activity of urine extracts was found when high
POM exposure workers were compared with lower POM exposure workers. However,
they indicated that a larger number of workers are needed to establish a
significant difference from the control population. The results of the study
by Holler and Dybing (1980) are considered inconclusive because of the
problems described above.
MUTAGENICITY OF INDIVIDUAL COMPONENTS IDENTIFIED IN COKE OVEN EMISSIONS
Several polycyclic components identified in coke oven emissions have been
shown to be potentially mutagenic in a variety of tests. It is not the intent
of this evaluation to provide an exhaustive survey of all the mutagenicity
tests that have been done with these components or with polycyclic organic
matter. References concerning the mutagenicity of polycyclic compounds can be
found in the Environmental Mutagen Information Center's Files, and reviews by
Brookes (1977), Bruce and Berry (1980), and Kimball and Munro (1981) summarize
much of this literature. Briefly, the mutagenicity of some of these
components is well-established, while the mutagenicity of others is
suggestive. In addition, of those components of the complex mixture known to
be mutagenic, the possibility exists that mutagenic chemical substances whose
activity has not been characterized may be present or that some constituents,
which may act as promoters or modifers of carcinogenesis, are present. Table
IV-2 is a selected list of organic components that have been reported positive
48
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TABLE IV-2. MUTAGENIC ACTIVITY IN SALMONELLA TYPHIMURIUM OF SELECTED OR6ANICS
IDENTIFIED IN
Chemical S-9
Acenapthylene
Acridine
Aniline
Anthracene
Benz[a]anthracene
Benzo[a]pyrene
Benzo[b]f1uorene
Benzo[e]pyrene
Benzo[g,h,i]perylene
Carbazole
Coronene
Chrysene
Dibenz[a,j]acridine
Dibenz[a,c]anthracene
Dibenz[a,h]anthracene
Dibenzo[a,i]pyrene
COKE
OVEN EMISSIONS*
Activationt
A,
N.
A
A,
A,
A
A
A,
A,
A,
A,
A,
A
A,
A
A
PB
A.
PB
PB
PB
PB
PB
PB
PB
PB
Reported
Response§
+b
+c
-a,+c
_a,b,c
+a,b,c
+a,b,c
+a,b,c
+a,b
+a,b
_b,c
_b
+a,b,c
+a
+a,b
+a,b
+a,b
*Content orcoke oven emissions extracted from reports by Bjorseth
et al. (1978) and U.S. EPA (1977b).
tA, Aroclor-induced; PB, phenobarbital-induced; N.A., not available.
§Data were interpreted in the reference:
a, reported by McCann et al. (1975)
b, reported by Kaden et al. (1979)
c, reported by Epler et al. (1979)
(continued on the following page)
49
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TABLE IV-2. (continued)
Chemical
Fluoranthene
Fl uorene
Indole
Isoquinoline
Naphthalene
Naphthylamine
Peryl ene
Phenanthrene
Pyrene
Pyridine
Quinoline
Triphenylene
S-9 Activationt
A
A, PB
A, PB
A, PB
A, PB
A
A
A, PB
N.A.
A, PB
A
A
Reported
Response§
+b,c
_a,b
_b
_b,c
_a,b,c
+a,c
+b
_a,b,+c
+c
+b
+b,c
+b,c
§Data were interpreted in the reference:
a, reported by McCann et al. (1975)
b, reported by Kaden et al. (1979)
c, reported by Epler et al. (1979)
50
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or negative in the Salmonel1 a/microsome assay. [A positive response in this
test appears to he highly correlated with the carcinogenic potential of
chemical substances (McCann et al. 1975)]. The chemicals listed in Table IV-2
may or may not be major constituents of coke oven emissions and may or may not
significantly contribute to the mutagenic potential associated with
simultaneous exposure to the complex mixture itself. Some of the possible
organic constituents identified in coke oven emissions, which may be
responsible for the potential mutagenic hazards in the complex mixture, are
the polycyclic aromatic hydrocarbons (such as benzopyrenes and chrysene), the
heterocyclic nitrogen compounds (such as pyridines, quinoline and substituted
quinolines, acridine), or aromatic amines (such as -naphthylamine) (Epler et
al. 1977, McCann et al. 1975, Hollstein et al. 1979, U.S. EPA 1980a, Brooks
1977, Kimball and Munro 1981).
The listing above is ,by no means inclusive. Although several individual
coke oven components have been shown to induce mutagenic responses in certain
tests (e.g., bacteria, yeast, mammalian cells jn vitro, animals), interactions
(e.g., synergisms and antagonisms) may occur among the other components in
the complex mixture to alter their mutagenic potential (Rao et al. 1979, Hass
et al. 1981, Pelroy and Peterson 1979).
SUMMARY
The complex mixture, coke oven emissions, has been tested for its
mutagenic potential only in the Salmonel1 a/mammalian microsome assay. The
solvent-extracted organics caused mutations in a dose-dependent manner in
frameshift-sensitive strains. The incorporation of an exogenous mammalian
microsomal activation system greatly enhanced the mutagenic activity of this
complex mixture. To confirm the positive responses reported in Salmonella,
51
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further testing in other organisms (e.g., mammalian cells in culture) is
necessary. It is important to point out that several known mutagens,
identified as positive in various genetic test systems, have been identified
in coke oven emissions and could contribute to the mutagenicity of the whole
mixture. Like coke oven emissions, many of these components are primarily
detected in Salmonella as frameshift-acting mutagens after metabolic
activation. Also in support of coke oven mutagenicity, a related complex
mixture, sampled from the coke oven collecting main, has been shown to be
positive in two different organisms (namely, bacteria and mammalian cells in
culture). This complex material was also detected in bacteria as
frameshift-acting after metabolic activation.
In conclusion, the weight of evidence (i.e., in vitro data regarding th.e
mutagenic activity of coke oven emissions and a related complex mixture and
the data regarding the mutagenic activity of the individual components
identified in coke oven emissions) suggests that coke oven emissions may have
the potential to cause somatic mutations in humans. It should be emphasized,
however, that the complex mixture itself, coke oven emissions, was evaluated
only in an in vitro test; and when evaluating the risk posed by exposure to a
mutagenic agent, several factors (e.g., absorption, metabolism,
pharmacokinetics) may alter the mutagenic response in the whole mammal
compared to the mutagenic potential determined in an in vitro test.
CELL TRANSFORMATION
Currently available studies concerning the ability of topside coke oven
extract to cause cell transformation are derived from the EPA diesel research
program (Huisingh et al. 1979). The sample tested was collected on top of a
coke oven battery and was shown to cause cell transformation in BALB/c 3T3
52
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cells and In primary Syrian hamster embryo cells with viral enhancement by
Simian adenovirus (Curren et al. 1979, Casto et al. 1979). Negative results
were reported with one test conducted in primary Syrian hamster embryo cells
using the focus assay method. Because of the location of the topside air
sampler and local wind conditions, an unknown portion_of the topside coke oven
sample contained particulate matter from other ambient air sources, as
previously discussed in the mutagenicity section herein. Hence, the extent to
which the results of the above cell transformation studies are representative
of the topside coke oven alone appears uncertain.
53
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V. TOXICITY
Coke oven emissions consist of a complex mixture of organic and inorganic
gases and particulates (Table II-l). Only coal tar, which is produced by the
condensation of coke oven emissions, will be discussed in this section.
Constituents of emissions other than those producing coal tar are not
considered essential to the discussion of toxicity in this document.
ACUTE TOXICITY OF COAL TAR
Experimental toxicity data on the noncarcinogenic toxic effects of coal
tar are limited. In a review by Graham et al. (1940; cited in NIOSH 1978), an
early study was cited in which feeding of coal tar products to pigs (6 to 15
g/day for 5 days) produced extensive liver damage and 100% mortality in the
five treated animals. A second study involving the administration of liquid
coal tar in capsules to pigs (three pigs receiving 3 g/day for 5 days; two
pigs receiving 3 g/day for 2 days) produced similar results.
SUBCHRONIC AND CHRONIC TOXICITY OF COAL TAR AEROSOLS
In 1973, the National Institute for Occupational Safety and Health
published a criteria document concerning occupational exposure to coke oven
emissions. A major conclusion reached in that report was that dose-response
data were lacking on the toxicity of coke oven emissions. In response to this
need for more definitive information, several studies were subsequently
undertaken to determine the response of experimental animals to measured
concentrations of coal tar aerosols collected from coke ovens.
Kinkead (1973) prepared an aerosol of coal tar in which the solids
previously had been removed by centrifugation. He exposed 64 Sprague-Dawley
yearling rats (32 male and 32 female), 64 Sprague-Dawley weanling rats
54
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(32 male and 32 female), 50 male ICR mice, and 50 male CAF-1 mice continuously
for 90 days at concentrations of 0.2, 2.0, and 10 mg/m3. In addition, 80
yearling female Sprague-Dawley rats, 9 weanling rats of each sex, 25 male
CAF-1 mice, 25 male ICR mice, 24 female New Zealand white rabbits, and 100
male Syrian golden hamsters were exposed continuously for 90 days at 20
mg/m3. Greater than 95% of the aerosol droplets were 5 urn or less in
diameter. Nominal and measured exposure levels were comparable.
The author stated, without reporting his data, that considerable mortality
among exposed animals was encountered in this study. Mortality patterns were
attributed to debilitation from exposure leading to greater susceptibility to
infection, and a high incidence of chronic murine pneumonia was found in all
species under study. Cumulative mortality was reported to be proportional to
exposure concentration.
In all species tested, there was a remarkable effect of exposure on body
weight growth curves. Weight loss was evident in exposed mice during
exposure, and body weight gain was lower in treated mice compared to control
mice following exposure (Figures V-l and V-2). Trends in body weight
reduction in adult rats, hamsters, and rabbits were stated (data not reported)
to have been similar to those found in treated mice. Body weight loss was
also evident in exposed weanling rats (Figures V-3 and V-4). However, in
contrast to treated mice, decreased body weight gain rather than marked loss
occurred during treatment, and a dose-response in reduced body weight gain is
clearer for weanling rats. Even the lowest exposure concentration, 0.2
ug/m3, produced some adverse effects on body weight gain. Following the
termination of exposure, the inhibitory effect of coal tar aerosol on growth
was still evident for at least 7 months in most species.
Kinkead conducted a subsequent coal tar experiment in which the solid
55
-------
40
35
S
I
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o
CO
IU
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IT
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20
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•EXPOSURE-
-POST EXPOSURE-
23456789
DURATION (months)
Figure V-l. Growth of male CAF-1 mice exposed to coal tar aerosol
(Kinkead 1973)
56
-------
O
to
I
§
ui
C3
<
tr.
ui
45
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0.0 mg/m3
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-EXPOSURE-
-POST EXPOSURE-
234567
DURATION (months)
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Figure V-2. Growth of male ICR mice exposed to coal tar aerosol
(Kinkead 1973)
57
-------
Q
O
m
ill
0
<
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til
650
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-— EXPOSURE-
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01 23456789 10
DURATION (months)
Figure V-3. Growth of male weanling rats exposed to coal tar aerosol
(Kinkead 1973)
58
-------
380 r
340
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~ 260
I-
uu
Q
O
CD
UJ
s
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220
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60 '
0.0 mg/m3
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4567
DURATION (months)
10
Figure V-4. Growth of female weanling rats exposed to coal tar aerosol
(Kinkead 1973)
59
-------
particles and light oil fractions were retained in the experimental aerosol.
Sprague-Dawley rats, New Zealand white rabbits, JAX mice, and Syrian golden
hamsters (numbers not specified) were exposed continuously for 90 days to the
coal tar aerosol at a concentration of 10 mg/m3. In addition, 150 CF-1 mice
were exposed to the aerosol and serially sacrificed for histopathologic
analysis. Among exposed rats and hamsters, McDonnell and Specht (1973)
described three significant lesions occurring at the termination of exposure.
These were: 1) phagocytized coal tar pigment in alveolar macrophages and in
the peribronchial lymphoid tissue; 2) hepatic and renal hemosiderosis which
disappeared by 100 days post-exposure; and 3) mild central lobular necrosis in
the liver. Among mice sacrificed 99 days post-exposure, moderate pigmentation
of alveolar macrophages was observed in 14 of 15 CF-1 mice, but in only 1 of
13 exposed JAX mice.
In a follow-up study, MacEwen and coworkers (1976) prepared a composite
coal tar mixture collected from multiple coking ovens around the greater
Pittsburgh area. Coal tar samples were blended together with a 20% by volume
amount of the BTX (benzene, toluene, xylene) fraction of coke oven distillate.
This material was believed to be more representative of that inhaled by
workers on top of coke ovens. Female (75) ICR-CF-1 mice, female (50)
CAF-1-JAX mice, male (40) and female (40) weanling Sprague-Dawley rats, New
Zealand white rabbits (18), and male (5) and female (9) Macaca mullata monkeys
were exposed to a coal tar aerosol at 10 mg/m3, 6 hours daily, 5 days/week,
for 18 months. Animals were held for an additional 6-month observation period
following termination of exposure. A significant inhibition of body growth
rate was observed for both male and female rats after 4 months and for rabbits
by the end of the first month (Figures V-5 and V-6). Monkeys showed no
significant inhibition of growth rate from exposure to the coal tar aerosol
60
-------
too
to M a a 14 o «• IT
Figure V-5.
The effect of repeated exposure to 10 mg/m3 coal tar aerosol on
growth of rats.
(MacEwen et al . 1976)
61
-------
i.O
4.A
4.O
"
1.0
X.9
t.O
J '
Figure V-6.
The effect of repeated exposure to 10 mg/ra3 coal tar aerosol
on growth of rabbits and monkeys.
(MacEwen et al. 1976)
62
-------
(Figure V-6). In this study, 16 of 18 test rabbits and 6 control rabbits died
during the test period.
A description of toxic effects of compounds and classes of compounds
described in Table II-l can be found in Dreisbach (1977), U.S. EPA documents
(1977a, 1978a-c, 1979, 1980a-n), World Health Organization (1979), Venugopal
and Luckey (1978), Roy and Trudinger (1970), National Research Council (1981),
Goldstein et al. (1980), and Carcinogen Assessment Group (1980a).
63
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VI. CARCINOGENICITY
EPIDEMIOLOGIC STUDIES
The American long-term mortality study of coke oven workers by Lloyd,
Redmond, and coworkers (Lloyd and Ciocco 1969, Lloyd et al. 1970, Lloyd 1971,
Redmond et al. 1972, Redmond et al. 1976, Mazumdar et al. 1975, Redmond et al.
1979) found that workers exposed to coke oven emissions have an increased risk
of mortality from cancer at all sites; cancer of the lung, trachea, and
bronchus; cancer of the kidney; and cancer of the prostate. Sakabe et al.
(1975) found that coke oven workers who were retired from iron and steel plants
in Japan had an excess risk of lung cancer mortality when compared to the
Japanese male population. British studies by Reid and Buck (1956), Davies
(1977), and Ceilings (1978) have not demonstrated the cancer risk found in the
American studies or the Sakabe et al. study, but the British studies had some
design limitations which may have prevented the detection of any cancer risks.
Ame ri can Studi e s
In 1962 Lloyd and Ciocco began a long-term study of the mortality of
steelworkers in Allegheny County, Pennsylvania. Subsequent updates of this
study focused on the mortality of coke oven workers. In 1972 Redmond et al.
expanded the study to include coke plants at ten steel plants throughout the
United States and Canada. Because there are several updates of the study, a
summary table has been prepared and precedes the discussions of the studies
(Table VI-1).
64
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Lloyd and Ciocco (1969)--
In 1969 Lloyd and Ciocco reported on the mortality of approximately 59,000
steelworkers, including coke oven workers, employed in 1953 at seven steel
plants in Allegheny County, Pennsylvania. Mortality was reported by age, race,
and cause of death. Mortality was not divided by work area (e.g., coke oven
workers, etc.), however. Records of the workers were collected between July
1962 and December 1964 at the personnel offices of the plants by teams of four
people assigned to each plant. Information on workers who still worked at the
plant in 1962 included a complete work history from time of first employment
with the specific company through 1961, birthplace of employee and his parents,
race, marital status, and identifying information for follow-up. For men
leaving employment before January 1, 1962, the follow-up schema consisted of
references to death lists and city directories, as well as inquiries to local,
state, and federal agencies. When no determination could be made through these
sources, mail and telephone contacts were made to the next of kin. The average
annual mortality rates for the steelworkers were found to be lower than that of
the male population of the county in which the plants are situated. For the
steelworkers, the crude mortality rate among whites was 911.0 per 100,000
person-years at risk and among nonwhites was 994.2 per 100,000 person-years at
risk. In the county where the steel plants are located, the crude mortality
rate among whites was 1578.2 per 100,000 population and among nonwhites was
1880.6 per 100,000 population. Comparison by age category found that for both
whites and nonwhites, the mortality rates were higher in the county than among
the steelworkers.
69
-------
Lloyd et al. (1970) —
In a continuation of the Lloyd and Ciocco (1969) study, Lloyd et al. (1970)
calculated the expected deaths for each of 53 work areas by applying the death
rate of the total steel workers population to the number at risk in the work
area. A Standard Mortality Ratio (SMR)* was calculated for each area. The
overall SMR for coke plant workers was 104. Since disease response may be a
function of length of exposure, an SMR using person-years was calculated for
those who had attained 5 years of exposure. For each man who had attained 5
years in a work area, the time at risk was calculated as the time of completion
of the 5 years to the end of observation (date of death or December 1961). For
men attaining 5 years prior to 1953, the initial date at risk was January 1,
1953. The comparison group was all steel workers who had attained 5 years of
employment in the industry prior to or during the period 1953-1961. The number
of expected deaths in each work area for specified race, age, nativity (country
of origin), and residence was calculated by applying the specific rate of the
total steelworker population to the person-years at risk in the work area. For
coke plant workers, the SMR for white workers was 99 while the SMR for nonwhite
workers was 122, which was significant (96 observed, 78.7 expected, P < 0.05)
using a summary chi-square with one degree of freedom. When Lloyd et al. looked
at cause-specific mortality among workers exposed 5 years or more, the SMR for
malignant neoplasms among white coke plant workers was 102 while that among
nonwhite workers was 204 (40 observed, 19.6 expected, P < 0.05). The authors
reported that a more detailed analysis of the deaths from malignant neoplasms
revealed that the excess for nonwhite workers was due to malignant neoplasms of
the respiratory system (25 observed vs. 7.3 expected). SMRs for other causes
*CMD Observed Deaths iriri
SMR = Expected DeathT x 10°
70
-------
of death (vascular lesions affecting the central nervous system, heart disease,
accidents, all other causes) were not significant.
Lloyd (1971) —
Lloyd (1971) further delineated the source of the respiratory cancer excess
within the coke plant environment and clarified the apparent differential in
mortality for white and nonwhite workers. All of the coke oven workers in the
steel worker study worked at by-product coke ovens. Prior to World War I, the
main source of metallurgical coke in the United States was the beehive coke
oven. Since World War I, the by-product plant, which allows for recovery of
tar, oils, and chemicals from the volatiles, has increasingly predominated. The
by-product coke plant is divided into three rather distinct areas in terms of
function and potential exposure to environmental hazards. These are: 1) the
coal handling area where coal is received by rail or barge and where provision
is made for the handling, storage, and blending of several types of coal before
transfer to the coke ovens; 2) the coke ovens, grouped into batteries, with
equipment for charging and discharging the ovens and the quenching of coke; and
3) the by-product plants for recovery of gas and chemical products. Because of
the reports by Kawai et al. (1967) and Doll et al. (1965) of higher lung cancer
rates for men engaged primarily in the coal-carbonization process, Lloyd decided
to focus on the men employed at the coke ovens or in their immediate vicinity.
Occupational titles indicating employment some distance from the coke ovens were
assigned to a nonoven group. The coke oven group included all job titles
requiring that some part of the working day be spent at the topside of the ovens
or the side of the ovens, including the quenching station, the coke wharf, and
the coke screening station.
71
-------
Of the 58,828 steelworkers employed in 1953, 2,552 worked in the coke plant.
However, an additional 978 steelworkers employed in other work areas in 1953 had
previously been employed in the coke plant. The distribution of these workers
by race, work area, and period of employment (1953 or prior years) is given in
Table VI-2.
Expected mortality for the coke oven workers was derived from mortality for
the entire steelworker population. A significant excess of observed to expected
deaths from malignant neoplasms of the respiratory system was found (Table
VI-3). Although there was an increase in respiratory cancer deaths among white
workers, this increase was not significant. Respiratory cancer deaths among
nonwhite workers was significantly (P < 0.01) elevated. The author reported
that of the 25 deaths from malignant neoplasms of the respiratory system among
workers employed in 1953, 23 of them were attributed to neoplasm of the lung.
The author did not present any data on the specific site of the respiratory
neoplasm deaths among workers employed in years prior to 1953. Coke oven worker
mortality from diseases other than malignant neoplasm of the lung was little
different from expected.
The author next considered differential mortality within the several work
divisions of the coke ovens. To do this he divided the coke oven workers into
full-time topside (larry car operator, lidman, and standpipe man), part-time
topside (foreman, heater, and occassional maintenance men such as pipefitters),
and side oven, which was the remainder of the coke oven work force (including
workers at the quenching station, coke wharf, and the screening station).
Mortality for malignant neoplasms of the lung for each of these subdivisions is
reported by race in Table VI-4. As can be seen in Table VI-4, there is a
significant excess of total coke oven worker lung cancer mortality. Nonwhite
lung cancer mortality is significantly increased; white lung cancer mortality is
72
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TABLE VI-2. DISTRIBUTION OF COKE PLANT WORKERS EMPLOYED IN ALLEGHENY COUNTY,
PENNSYLVANIA IN 1953 BY WORK AREA AND RACE
(adapted from Lloyd 1971)
Coke Plant
Coke Oven
Number Per Cent
Nonoven
Number Per Cent
Total
White
Nonwhite
3,530
2,369
1,161
Employed in 1953 or
2,048
993
1,055
Prior Years
58.0
41.9
90.9
1,482
1,376
106
42.0
58.1
9.1
73
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TABLE VI-4. NUMBER EMPLOYED, OBSERVED AND EXPECTED LUNG CANCER DEATHS,
AND STANDARDIZED MORTALITY RATIOS (SMRs) OF MEN EMPLOYED IN SELECTED COKE OVEN
SUBDIVISIONS IN ALLEGHENY COUNTY, PENNSYLVANIA IN 1953 AND PRIOR YEARS BY RACE
(adapted from Lloyd 1971)
Total Coke Oven
White
Nonwhite
Side Oven
White
Nonwhite
Partial Topside
White
Nonwhite
Full Topside
White
Nonwhite
Number
Employed
2048
993
1055
1431
606
825
315
307
8
302
80
222
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8
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19
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170
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125
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*Significant at P < 0.01.
tLess than five deaths in both observed and expected; SMR and statistical
significance not calculated.
75
-------
in excess but not significant. The excess mortality is associated primarily
with employment at the full-time topside occupations. The total mortality
experience of men employed only at the side ovens does not differ significantly
(P < 0.05) from that expected. The observed deaths from malignant neoplasms of
the lung are seven times that'expected (19 observed, 2.6 expected, P < 0.01) for
full-time topside workers; the risk for nonwhite topside workers is eight times
that expected (18 observed, 2.2 expected, P < 0.01). The limitation of small
numbers precludes the calculation of significance of the lung cancer excess for
white workers. Causes of death other than malignant neoplasm of the lung were
not significantly (P < 0.05) greater than expected.
Lloyd also looked at observed and expected lung cancer deaths by length of
employment (Table VI-5). Lung cancer mortality among coke oven workers having
worked 5 or more years was significantly (P < 0.01) increased. Although an
excess was found for both white and nonwhite workers, only the excess among the
nonwhite workers having worked 5 or more years was significant. Deaths from
causes other than lung cancer were not significantly (P < 0.05) increased above
that expected.
When the lung cancer mortality of men employed 5 years or more at coke
ovens was analyzed by work area, it was found that full-time topside workers had
ten times the expected number of lung cancer deaths (Table VI-6). The
combination of work area and length of exposure to produce a higher SMR than
that found by either work area or length of exposure alone suggests that both
length of exposure and intensity of exposure are important respiratory cancer
risk factors.
Other causes of death among the coke oven workers were found to be similar
to expected except for a significant (P < 0.05) excess of "nonrespiratory
tumors" among workers employed only at the same side of the oven or with less
than 5 years employment at fulltime topside jobs.
76
-------
TABLE VI-5. NUMBER EMPLOYED, OBSERVED AND EXPECTED LUNG CANCER DEATHS,
AND STANDARDIZED MORTALITY RATIOS (SMRs) OF MEN EMPLOYED AT COKE OVENS
IN ALLEGHENY COUNTY, PENNSYLVANIA IN 1953 AND PRIOR YEARS BY LENGTH
OF EMPLOYMENT (AS OF JANUARY 'l, 1953)
(adapted from Lloyd 1971)
Less Than 5 Years
White
Nonwhite
5 or More Years
White
Nonwhite
Number
Employed
1144
593
551
904
400
504
Observed
Lung Cancer
Deaths
4
3
1
27
5
22
Expected
Lung Cancer
Deaths
4.7
2.2
2.6
7.6
2.6
5.1
SMR
— t
— t
— t
355*
192
431*
tLess than five deaths in both observed and expected; SMR and statistical
significance not calculated.
77
-------
TABLE VI-6. NUMBER EMPLOYED, OBSERVED AND EXPECTED LUNG CANCER DEATHS, AND
STANDARDIZED MORTALITY RATIOS (SMRs) OF MEN EMPLOYED AT COKE OVEN
SUBDIVISIONS IN ALLEGHENY COUNTY, PENNSYLVANIA FOR MORE THAN
5 YEARS (AS OF JANUARY 1, 1953) BY WORK AREA AND RACE
(adapted from Lloyd 1971)
Side Oven Only
White
Nonwhite
Number
Employed
496
171
325
Observed
Lung Cancer
Deaths
6
2
4
Expected
Lung Cancer
Deaths
4.1
1.1
3.0
SMR
146
— t
— t
Side and Topside
(less than 5 years
full-time topside)
White
Nonwhite
Full-time Topside
White
Nonwhite
276
202
74
132
27
105
6 •
2
4
15
1
14
2.1
1.3
0.8
1.5
0.2
1.3
286*
— t
-j-
1000*
___ +
1077*
*Significant at P < 0.01.
tLess than five deaths in both observed and expected; SMR and statistical
significance not calculated.
78
-------
vs. 4.3 expected and a SMR of 209), and a significant excess (P < 0.05) of "all
other causes" (11 observed vs. 6.1 expected and a SMR of 180) among nonwhite
full-time topside workers. Most of the excess in "other causes" is accounted
for by deaths from vascular lesions of the central nervous system and
tuberculosis.
A primary criticism of the Lloyd (1971) study is the fact that smoking, a
potential confounding variable in any study of lung cancer, was not adequately
addressed. However, the dose-response is so pronounced in this study,
particularly for nonwhite workers, that it is improbable that the significant
excess seen in lung cancer mortality could have been caused by smoking alone.
Certainly, however, the possibility of a synergistic effect of smoking and coke
oven emissions cannot be ruled out.
It should also be noted that any confounding due to smoking would tend to be
reduced by the use of an internal comparison group such as was done in this
study. Smoking habits are known to vary by the nature of the occupation. A
comparison of coke oven workers to other steel workers, such as was done in this
study, would tend to minimize differences that might be present were another
comparison group, such as the general population, to be used. Naturally,
however, such a comparison cannot eliminate individual differences in smoking
habits that might be present between the coke oven workers and the other
steelworkers.
Lloyd (1974) compared age-specific lung cancer mortality rates of the
steelworkers including the coke oven workers with lung cancer rates for smokers
and nonsmokers (Table VI-7). While the total steelworker population showed a
lung cancer mortality somewhat like that observed for all cigarette smokers, and
coke oven workers who never worked topside showed rates not too different from
those for heavy cigarette smokers, the rates for topside workers and for those
employed more than 5 years topside are far beyond what would have been predicted
79
-------
TABLE VI-7. ESTIMATES OF AVERAGE ANNUAL LUNG CANCER MORTALITY RATES
(PER 100,000) PERSON-YEARS) FOR SELECTED U.S. SMOKING GROUPS, 1954-1962,
AND STEELWORKER GROUPS, 1953-1961
(Lloyd 1974)
U.S. Smokers
A
G
E Steel workers
Never smoked or occasional only
Current cigarette smokers - total
Current cigarette smokers, 1-9/day
Current cigarette smokers, over 39/day
35.44 45.54 55-64
<45 45-54 >55
12
5 39 158
69
104 321
65-74
29
258
119
559
Steel workers
Coke oven, never topside
Coke oven, topside
Coke oven, > 5 years topside
12
-
228
265
126
130
1,058
1,587
160
387
1,307
1,961
80
-------
by differential cigarette smoking experience. Again, a synergistic effect of
coke oven emissions and smoking cannot be ruled out.
Redmond et al. (1972) —
Redmond et al. (1972) expanded the investigation of coke oven workers to
include ten selected steel plants in diverse parts of the United States and
Canada. Study subjects included men who had worked at the coke ovens at these
plants at any time in the 5-year period 1951 through 1955. Criteria used to
determine eligibility for inclusion in the study as a coke oven employee were as
follows: 1) the man must have had at least 30 consecutive days of employment at
the coke ovens, and 2) individuals listed strictly as vacation replacements were
not eligible. The comparison group of men was chosen in one of two ways.
First, at plants where permanent numbers were assigned sequentially at time of
first employment, the nonoven workers were selected by examining the records of
the men closest in number to the coke oven workers. The first two men who were
employed at the same plant during the period 1951 through 1955 and who were of
the same race and of similar date of initial employment as the coke oven workers
were chosen for the comparison group (i.e., two nonoven workers for each oven
worker). At four plants no sequential number was assigned on the basis of
starting date; therefore, a seco'nd method for selecting the comparison group
was devised. A systematic sampling of one out of every five records was made
and two nonoven workers were selected for each oven worker on the basis of
closest starting date, race, and other study criteria which included the
following: 1) the man must have been actively employed sometime in the period
1951 through 1955; 2) the man must never have held a job at the coke ovens, but
could have worked in the coal, coke handling, or by-products areas; 3) the man
must have had at least 30 days consecutive employment; and 4) vacation
replacements were excluded.
81
-------
Since occupational terminology varied from plant to plant, personnel at the
plant were consulted to clarify whether the job in question was at the coke
ovens. Follow-up of the workers was through December 31, 1966. For workers who
had left employment prior to December 31, 1966, the method of ascertaining vital
status was similar to that of Lloyd and Ciocco (1969). Among all coke plant
(oven and nonoven) workers there was a loss to follow-up of only 18 of 2,888
(0.6%) for white employees and 62 workers out of 3,587 (1.7%) for nonwhite
employees. In addition to the investigation of the ten non-Allegheny County
steel plants, follow-up of all workers who had worked during 1953 at the two
Allegheny County steel plants that had coke plants (reported by Lloyd 1971) was
updated to 1966. The comparison group for the Allegheny County steel plants
consisted of all men who had never worked at the coke ovens.
Expected mortality and relative risk for the coke oven workers were derived
in the following manner:
Tables have been constructed for the coke oven workers and controls by
first classifying each plant's cohort by race, age at entry to the study,
and the calendar years of follow-up: 1951-1957, 1958-1962, 1963-1966. An
expected number of deaths for the coke oven workers was calculated for
each of these subgroups with the underlying assumption that both coke oven
workers and controls have the same rate within each subgroup. The total
expected number of deaths for each plant is the sum of the specific rates
for each subgroup multiplied by the number of coke oven workers at risk in
the subgroup, while the expected number of deaths for coke oven workers at
all plants is the sum of the expected number of deaths for the individual
plants. The relative risk is a weighted average of the observed and
expected number of deaths for each subgroup, where the weights used are
approximately proportional to the precision within each subgroup. The
reader should note that, because the relative risk is a weighted average,
it cannot be obtained directly by dividing the total observed deaths by the
total expected deaths.
Comparison of observed and expected deaths for all workers revealed an
excess of malignant neoplasms of the lung, trachea, and bronchus and of the
genitourinary organs (Table VI-8). Among the non-Allegheny County workers, a •
significant excess in lung, trachea, and bronchus cancer deaths occurred in both
white and nonwhite workers. In addition, a significant (P < 0.05) excess in
82
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genitourinary cancer was found among nonwhite workers. As Lloyd (1971) had
found, mortality from cancer of the lung, trachea, and bronchus among Allegheny
County workers was significant (P < 0.01) for nonwhites only. Genitourinary
cancer mortality among Allegheny County .workers was significant (P < 0.01) for
whites only. All other causes of death (other malignant neoplasms, tuberculosis
of the respiratory system, other diseases of the respiratory system,
cardiovascular-renal diseases, accidents, and all other causes) for both
Allegheny and non-Allegheny County workers, were not significantly (P < 0.05)
different from that expected.
As in the Lloyd (1971) study, the authors delineated the mortality
experience by work area and length of exposure. When the cancer mortality for
all plants combined (Allegheny County and non-Allegheny County) was analyzed by
work area, a significant (P < 0.05) excess of malignant neoplasms of the lung,
trachea, and bronchus was evident in full-time topside workers with most of this
excess occurring among nonwhite workers. Additionally, there was a significant
(P < 0.05) excess of genitourinary cancer in side oven workers. Mortality from
other causes was not significantly (P < 0.05) different from expected except
for cardiovascular renal disease which was significantly less than expected
among white topside workers and total (white and nonwhite) side oven workers.
Hhen deaths were analyzed by time spent at the coke ovens, a significant
(P < 0.01) increase in malignant neoplasms of the lung, trachea, and bronchus
for workers having worked 5 years or more was found, with most of this excess
among nonwhite workers. A significant (P < 0.05) excess of genitourinary cancer
deaths occurred among workers having worked 5 or more years with most of the
excess occurring among white workers (6 observed, 2.2 expected, P < 0.01 for
white workers; 11 observed, 8.4 expected, P > 0.05 for nonwhite workers).
Mortality from other causes was not significantly different from expected except
84
-------
for "other malignant neoplasms," which was significantly (P < 0.01) less than
expected among workers having worked less than 5 years.
As Lloyd (1971) had done, Redmond et al. analyzed the combined effect of
length of employment and work area. Similar to Lloyd's (1971) findings,
malignant neoplasms of the lung, trachea, and bronchus were found to be elevated
for all oven workers having worked 5 years or more, and this excess was found to
follow a dose-response relationship (Table VI-9). Men employed at full-time
topside jobs (subjecting the employee to the greatest exposure) 5 years or more
have a relative risk of cancer of the lung, trachea, and bronchus of 6.87
(P < 0.01), compared with a lesser risk of 3.22 (P < 0.01) for men with 5 years
or more of mixed topside,and side oven experience, and 2.10 (P < 0.05) for men
with more than 5 years of side oven experience.
A significant excess (8 observed, 2.6 expected, P < 0.01) of kidney cancer
was found for total oven workers. Lloyd (1971) had found an excess of kidney
cancer, but this excess had not been statistically significant.
Mazumdar et al. (1975)—
Mazumdar et al. (1975) used the mortality data from the Lloyd and Redmond et
al. studies and data compiled by the Pennsylvania Department of Health on
ambient levels of benzene soluble organic (BSO) material for the topside and
side oven areas of the coke oven to analyze cancer mortality dose-response among
the coke oven workers. The authors determined an exposure level in
mg/m3-month of BSO material for the workers by multiplying the exposure for
the area where the person worked (mg/m3) times the length of time in months
that the person worked there. Cumulative exposure (mg/m3-months) was divided
into four categories: _< 199, 200-499, 500-699, and >^ 700 mg/m3-months.
Age-adjusted data for the total number of nonwhite workers showed a clear
85
-------
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dose-response relationship for lung cancer mortality and cancer at all sites
mortality above 200 mg/m3-month. A dose-response was not seen for white
workers (Table VI-10). Fewer white workers than nonwhite workers worked at the
topside of the coke ovens, however, which would have reduced the probability of
detecting a cancer risk for whites in the high exposure group and thus would
have reduced the probability of detecting a cancer mortality dose-response.
Also, the authors stated that "since time, as well as level of concentration, is
necessary to achieve a high-value exposure index, any oven worker dying from
lung cancer within a moderate or small period of time from first exposure can,
obviously, no longer accumulate additional exposure. Consequently, if the total
exposure doses required to increase the risk of lung cancer in a white
individual are less than in the nonwhite individual and/or the average latent
period is shorter than that of the nonwhite worker, the same strong association
between total exposure and increasing risk of lung cancer will not be
demonstrated by a time dependent index such as the one employed here." A
further discussion of the difference in the white/nonwhite dose-response is
contained in the Quantitative Estimation Section of this document.
Mazumdar et al. found that lung cancer mortality was less than expected for
workers exposed to _< 200 mg/m3-month benzene-soluble material. This should
not be construed as a no effect level, however, because as the authors
themselves stated, a diluting effect may result from inclusion in the study
group of coke oven workers with too few years of observation to allow for the
appearance of a latent effect. The workers in this study were followed for a
period of only 14 years and, as the authors themselves indicate, the average
latent period for occupational lung cancers may range from 15.,to 25 years.
87
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Redmond et al. (1976)--
Redmond et al., in an update of the historical prospective cohort study
begun by Lloyd, confirmed earlier findings of a statistically significant excess
of lung cancer in coke oven workers. Follow-up was extended through December
31, 1970, on 58,828 men employed at seven Allegheny County steel plants in 1953
and was more than 99.9% complete with some 12,818 men reported deceased.
Expected deaths and relative risk were calculated in the same manner as in the
Redmond (1972) study.
The excess of respiratory cancer found in the Redmond et al. (1972) study
continued. With the longer period of follow-up and the aging of the cohort, the
greater number of deaths made it possible to consider 10+ and 15+ years of
exposure as-well as 5+ years. Observed deaths from cancer of the respiratory
system and the relative risks for coke oven workers are shown in Table VI-11.
As can be seen from the table there was a pronounced dose-response both by
length of exposure and by work site. A strong dose-response for cancer
mortality, all sites, was also found by length of exposure and by work site
(Table VI-12).
89
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Redmond et al. (1979)--
The most recent update of mortality data on the coke plant workers cohort
(Lloyd and Ciocco 1969, Lloyd et al. 1970, Lloyd 1971, Redmond et al. 1972,
Redmond et al. 1976, and Mazumdar et al. 1975) extends the analysis through 1975
(Redmond et al. 1979). The vital status of the approximately 59,000
steelworkers in the Allegheny County study and the vital status of the
steelworkers in the ten non-Allegheny County steel plants were updated in order
to determine the expected cause-specific deaths. Work histories were not
updated because of lack of funding. Expected deaths and relative risks were
derived in the same manner as in the Redmond et al. (1972) study.
Among the coke oven workers in Allegheny County, excess mortality from
malignant neoplasms of the lung, trachea, and bronchus continued (Table VI-13).
As in earlier studies, this excess was significant (P < 0.01) among nonwhite
workers. Excess mortality of cancer of the kidney became significant (P < 0.05)
for white workers. Also, excess mortality from prostate cancer among total oven
workers became significant for the first time (20 observed, 12.74 expected, P <
0.05). For workers ever having been employed at the coke ovens through 1953,
excess mortality from all cancers; cancer of the lung, trachea, and bronchus;
kidney; and prostate is reported in Table VI-13. In addition to the tumor sites
listed in Table VI-13, the relative risk of mortality for "all other cancers"
for full-time topside workers was significantly (P < 0.05) elevated (relative
risk = 2.50). "All other cancers" include neoplasms other than of the respir-
atory system, digestive organs and peritoneum, genitourinary organs, buccal and
pharyngeal organs, lymph and hematopoietic tissues, and skin. Among coke oven
workers employed for "five or more years through 1953," observed and expected
mortality and relative risk of mortality from all cancers and from cancer of the
lung, trachea, and bronchus; kidney; and prostate is reported in,Table VI-14.
92
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For coke oven workers employed for "five or more years through 1953," the
relative risks of mortality from neoplasms of the lung, trachea, and bronchus,
as well as from kidney cancer, were higher than that for workers "ever employed
through 1953."
Among non-Allegheny County coke oven workers ever employed during 1951-55,
significant (P < 0.05) excess mortality from cancer of the lung, trachea, and
bronchus continued for both white and nonwhite workers. In addition, total
deaths from cancer at all sites was significantly in excess (194 observed,
162.56 expected, P < 0.01). Among nonwhites, a significant excess of prostate
cancer mortality (15 observed, 9.44 expected, P < 0.05) was found (Tables VI-15
and VI-16). These risks increased among workers employed for 5 years or more.
As in the Redmond et al. (1972) update, a dose-response was also evident by work
area. For workers employed for more than 5 years during 1951-55, the relative
risk of cancer of the lung, trachea, and bronchus was 3.47 (P < 0.01) for
full-time topside, 2.31 (P < 0.05) for mixed topside and side oven, and 2.06
(P < 0.05) for side oven experience. Kidney cancer mortality, which was
significantly (P < 0.05) elevated among the white Allegheny County workers, was
not significantly elevated among the non-Allegheny County workers. Cancer of
sites other than lung, trachea, and bronchus and prostate was not significantly
(P < 0.05) in excess; neither were causes of death other than cancer.
Among the 10 non-Allegheny County plants there was a considerable variation
from plant to plant in the relative risks for all causes, and one plant had
excessive risks for nearly every major cause of death. Although the amount of
risk for lung cancer varied among plants, there was a consistent pattern of the
number of observed deaths exceeding the number of expected deaths.
95
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British Studies
Reid and Buck (1956) —
Reid and Buck (1956) studied the causes of death of men dying while "on the
books" of the British National Coal Board coking plants during the period
1949-54. This included both retired and actively employed workers. Causes of
death were ascertained through the funeral fund of the National Union of
Mineworkers or through a vital statistics search of the General Register Office.
The authors analyzed mortality for the currently employed and retired workers
separately.
For the actively employed, information on age and job distribution was
obtained from a special census taken in 1952. Additional information on the
nature and duration of different jobs held in the plants was obtained from a
sample of 10% of the workers. Total man-years of exposure over the period
1949-54 were divided proportionally according to the age and job distributions
found in the 1952 special census. Expected deaths were derived by multiplying
the accumulated man-years in each age and job category by the comparable cause
and age-specific death rates derived from a "large industrial organization"
during the period 1950-54. Although the authors did not disclose the identity
of this large industrial organization, they do state that the derived death
rates for this industry were similar to those of civil servants of the General
Post Office, 60 years of age or younger, during the same period. Data on civil
servants were not available beyond the usual retiring age of 60.
The coking plant workers generally fell into four main groups. The first
group consisted of men involved in operating the coking ovens, driving the ram,
filling the oven, clearing the hydraulic main, etc. The second group was
involved in the recovery of by-products such as tar, ammonia, and benzole. The
third group was composed of laborers whose duties and contacts with the
98
-------
processes varied greatly. The fourth group included maintenance men and
craftsmen who occasionally were in contact with the processes. The number of
workers falling into each of these four job groups was not reported. Mortality
by cause and occupational exposure is reported in Table VI-17.
There was a significant difference between observed and expected mortality
for all other cancer combined (minus respiratory cancer) for oven workers (24
observed vs. 16 expected; P < 0.05, two-tailed test). For respiratory cancer,
however, there was no increase in observed mortality over that expected. If the
occupational classifications are divided* according to whether the men were ever
employed at any time as oven workers or never employed as oven workers, oven
workers would have a significantly elevated risk from cancers at all sites (40
observed vs. 32 expected; P < 0.05, one-tailed test) and an elevated risk (14
observed vs. 10 expected) of respiratory cancer, which is not statistically
significant (P <0.05). A significant excess risk of death (except respiratory
cancer) is apparent in men who never worked at the coke oven (205 observed vs.
162 expected; P < 0.01, one-tailed test). Men employed at any time as
by-product workers do not appear to be subject to an excess risk of respiratory
cancer, "cancer all sites combined" or "deaths all causes combined except
respiratory cancer." By contrast, men who were never by-product workers have a
significantly elevated risk of death excluding respiratory cancer (254 observed
vs. 218 expected; P < 0.01, one-tailed test).
Twenty workers who died from lung cancer while still on the company payroll,
and for whom detailed occupational histories were available, spent an average of
23.0 years in the coking plants and 16.3 as coke oven workers. These figures
are not appreciably different from the average duration of employment for men of
*This division was proportionally distributed according to the work
histories of the 10% random sample (800 workers).
99
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the same age included in the random sample of 800 (25.3 years in the coking
plants and 16.7 years as oven workers). Comparison of "average" employment
duration may not reflect differences in length of employment between the lung
cancer cases and the total random group, however. It is possible that a number
of recently exposed workers in either group may have worked for only a short
period of time, which might bias any comparison of averages.
The number of retired workers was not known; only the number of retirees who
died was known. Therefore, for retired workers, the proportion of respiratory
cancer deaths to all cancer deaths and the proportion of all cancer deaths to
total deaths were compared among occupational groups (oven workers, by-product
workers, laborers, maintenance workers, and foremen) by last job worked. They
were also compared by whether or not they had ever worked as oven workers and
whether or not they had ever worked as by-product workers. No differences were
found by either comparison. Since the ages of death of the retired workers were
not known, mortality was not compared by age.
The authors reported a significant (P < 0.05, one-tailed test) excess in
other than respiratory cancer mortality for workers whose last job was at the
coke ovens. No excess in respiratory cancer was seen however. For workers who
had ever worked at the coke ovens, there was no significant (P > 0.05) increase
in either respiratory or other cancer. For retired workers, no difference was
seen in the proportions of cancer deaths. The amount of confidence that can be
placed in the validity of the results of this study is in question, however,
because of the lack of details in the description given by the author regarding
the methodology and conduct of the study. The authors fail to adequately define
the basic study population. It is unclear whether the study population includes
all men who ever had a record of employment in the coke plant during the period
1949-54, since the author refers to an "average" of 8,000 men employed in
101
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National Coke Board (NCB) coking plants or just those found through the special
1952 census. If the cohort consisted of workers employed in 1952, and since
there was little or no follow-up of any of these members, it appears that this
study is little more than a cross-sectional study of mortality in a conglomerate
of several different coke plants. As much as can be determined, the observed
deaths are only those deaths of members of the study group who were employed in
the period 1949-54. Also, it should be noted that the number of lung cancer
deaths observed may have been deficient since only men dying while "on the
books" of the coking plants during the period 1949 to 1954 were included.
Lloyd (1971) reported (apparently from communication with Reid and Buck) that
men were removed from the books after prolonged absence from work.
Since follow-up after 1954 was nonexistent, latent effects were not
adequately considered. Furthermore, the death rates utilized in calculating
expected deaths were those prevailing in an unknown "large industrial
organization." It is not known how they were derived or defined. Therefore, it
cannot be said with any certainty that they are compatible with whatever
definition the authors utilized to derive the study population. Regarding the
retired workers, comparison of proportionate mortality without any
age-adjustment must be viewed with some skepticism. In short, this study leaves
many unanswered questions and is so ambivalent that it is difficult to place any
confidence in the study results.
navies (1977, 1978) —
navies (1977, 1978) reported on the mortality experience from May 1954 until
June 1965 of 610 coke oven workers at two South Wales coke works (Works A and
B). The 610 workers employed at the two plants had 6261.5 man-years of
follow-up; 88 had died during the follow-up period. Male mortality rates for
102
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England and Wales (average for 4 years, 1958-61) were multiplied times the
person-years of follow-up in each age category to obtain the expected deaths for
the coke workers. Observed and expected deaths were for total mortality from
malignant neoplasms of different sites, cardiovascular mortality, respiratory
disease mortality, and mortality from other causes. The Standard Mortality
Ratio for the two coke works was 92. There was no significant
(P < 0.05) excess in mortality for any of the diseases evaluated including
cancer of the lung (8 observed vs. 8.94 expected), cancer of the bladder and
kidney (3 observed vs. 1.9 expected), and respiratory disease (14 observed vs.
12.6 expected). There was a significant (P < 0.05, one-tailed test) negative
difference between the observed and expected deaths from cardiovascular disease
(29 observed vs. 41.36 expected).
The follow-up period as reported in this study was 11 years (1954-1965).
The follow-up period would have been longer, of course, for those workers who
started work before 1954. Without further information, however, the follow-up
period in the Davies study, particularly given the small sample size (Number =
610), may not be adequate to detect differences in lung cancer mortality since
the latency period from exposure to the start of lung cancer may be as long as
20 to 30, years.
Ceilings (1978)--
Collings (1978) conducted a follow-up study of 2,854 male coke workers
employed in 14 coke plants scattered throughout Great Britain. To be included
in the study, these workers had to have attained a minimum of 1.5 years
continuous employment at the plant ending in July 1967. They were subsequently
followed 9 years from August 1, 1967 to August 1976, and their mortality
experience was tabulated. The cohort was derived from lists provided by the
103
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coke plants. For each person in the cohort, a questionnaire was submitted to
the respective coke plants asking personal information, work since joining the
coke industry, and work prior to date of entry; completion of the questionnaire
was arranged by a senior medical officer familiar with the works. Three
distinct occupational groups (nonovens, part-ovens, and ovens) were designated.
The "non-ovens" category included 392 men who had no contact with the ovens.
"Part-ovens" included 742 men with some occasional contact with oven work.
"Ovens" was comprised of 1,615 men who had at least one specialized oven job
prior to August 1, 1967. Length of employment was tabulated for the "ovens"
group but not for the other groups.
For comparison, expected deaths were derived in two separate ways. In the
first method, the mortality experience of men in the study cohort was compared
to that of all men in Great Britain. Person-years at risk were accumulated in
the appropriate age, calendar-time period, cancer latency period, and
occupational groups. Standard population death rates were applied to the
comparable person-years categories to derive expected deaths and finally
Standard Mortality Ratios (SMRs). In the second method, the author derived a
"comparative mortality figure" (CMF) for each occupational category (ovens,
non-ovens, and part-ovens). The CMF was derived as the ratio of the sum of the
observed mortality across all age categories to that of the sum of the expected
mortality.
104
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Expected mortality for the CMF was derived In the following manner:
Number in age
group of
occupational
category
Number of deaths for the
particular cause in the
age group of the occupa-
tional category
Number in age
group for all
occupational
categories
Number of deaths for the
particular cause in the
age group of the occupa-
tional category
All deaths for the
x particular cause
in the age group
= Expected deaths for the occupational
category by age group.
With regard to latency and specific job within the coke works, only lung
cancer mortality appears to be somewhat excessive but not significant when the
coke plant worker rates are contrasted with rates in Great Britain (45.0
observed vs. 35.7 expected, P = 0.12). If only the coke plant workers in
England and Wales (not Scotland) are considered, and population mortality data
from those two countries are used to derive expected deaths, then lung cancer
mortality is significantly elevated (41 observed vs. 32.4 expected mortality,
P < 0.05). However, lung cancer mortality is not significant when
manually-skilled (40.8 expected), partly-skilled (39.5 expected), or unskilled
(44.5 expected) workers in England and Wales are used to derive expected lung
cancer deaths. The author notes that most workers in the study cohort would be
considered partly-skilled, and the lung cancer mortality in that group is almost
identical to that of the partly-skilled in England and Wales. However, overall
mortality is 17% lower (254 observed vs. 306.4 expected) compared to
partly-skilled workers. This observation led the author to comment that the
high proportion of lung cancers in the study cohort may be related to
occupational factors.
A smoking history questionnaire was submitted to a limited subgroup of
study members who were still employed at the plants during data collections
105
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(1973 to 1975), and who attended the works medical center at that time. This
represented only 41% of the workforce. Based on this data, the author concluded
that the 26.7% excess lung cancer mortality could not be due to excessive
tobacco consumption on the part of members of the study population. Cigarette
consumption in 4 of 14 coke plants was, according to the author, "above
average," while in the remainder it was below average.
With respect to the three occupational groups, i.e., ovens, part-ovens, and
non-ovens, the comparative mortality figure computed for each occupational group
for certain selected causes, including lung cancer, revealed no statistically
significant excesses. The author reports that when SMRs were calculated for the
same occupational groups (utilizing the male population of Great Britain), lung
cancer was excessive in all three groups, but he does not state whether these
excesses were statistically significant nor does he provide any data to support
this statement.
The risk of lung cancer as well as the risk of all malignant neoplasms
increased with increasing lengths of employment for the 1471 coke oven workers.
The population of employees who had worked on the ovens for more than 10 years
had an SMR of 127 and a CMF of 1.24 based on 17 observed lung cancers.
Additionally, the SMR and CMF for the cause "all malignant neoplasms" was 126
and 1.30, respectively, based upon 30 observed cancer deaths in the same
workers. None of these SMRs or CMFs were statistically significant, however.
The findings above, the author concludes, tend to support American studies that
show an excessive risk of lung cancer in coke workers despite the fact that none
of the findings were statistically significant.
Several comments should be made regarding the lack of statistical
significance. First, Col lings compared the observed lung cancer mortality in
coke plant workers, which included not only coke oven workers (Number = 1615)
106
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but "part-oven" workers (Number = 742) and "non-oven" workers (Number = 392) a's
well, with the mortality expected based on national lung cancer mortality rates.
In other words, persons not even exposed to coke oven emissions, the non-oven
workers, and persons only occasionally exposed, the "part-oven" workers were
included in the study cohort. The diluting effect caused by the inclusion of
persons not even exposed or seldom exposed may well be responsible for the lack
of a statistically significant excess of lung cancer mortality.
Second, it should be noted that the sample size of the "nonoven" (Number =
392) and "part-oven" groups (Number = 742) are too small for a meaningful lung
cancer mortality comparison by CMF across occupational subgroups (coke oven,
"part-oven" and "non-oven").
Third, the analysis by length of employment does not consider a
"survivorship effect" in regard to the analysis by SMR and is misleading in
regard to the analysis by CMF. A "survivorship effect" (Fox and Collier 1976)
means that workers who survive, for example, 10 years of employment, will have a
lower lung cancer SMR and a lower SMR for other diseases than workers who began
employment at the same time but had left the working population. Thus the
relative risk for coke oven workers who had worked ten or more years (SMR = 127)
would likely have been even higher had a similar working population, such as
other steelworkers as was used in the Redmond et al. studies, been used to
calculate the relative risk. The CMFs as presented are misleading because while
they may not indicate that coke oven workers employed 10 years or more have a
significant excess of lung cancer mortality in regard to the entire group of
coke plant workers, one should understand that the difference between the CMF
for workers employed less than 5 years and the CMF for workers employed ten or
more years is significantly (P < 0.05) different.
Fourth, the study by Collings followed workers for only 9 years. Such a
107
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follow-up period is usually not long enough to detect a significant excess of
cancer mortality if the mortality is associated with the suspected etiologic
agent being studied.
Sakabe et al. 1975 —
Sakabe et al. (1975) studied lung cancer mortality and cancer mortality (all
sites) for the years 1949-1973* among retired coke oven workers from 11
companies in Japan. At the time of the study there were 36 companies producing
coke in Japan. No explanation was provided as to why the other companies did
not participate in the study. Mortality was ascertained by a questionnaire to
the industrial physician or chief health inspector of each industry. The
expected mortality was calculated from the vital statistics for the general
Japanese male population for the corresponding peripd of time. Coke ovens in
Japan are categorized as those for blast furnace coke, those for casting coke,
and those for general coke, depending on the purpose for which the coke is
manufactured. The furnace temperature of coke ovens is about 1300°C for blast
furnace coke, 1000°C for casting coke, and 1200°C for general coke.
The 11 companies surveyed included four iron and steel plants, four city gas
companies, and three "coke manufacturing chemical companies and coke
manufacturing companies." Coke ovens in the iron and steel plants in Japan are
used solely for manufacturing blast furnace coke, and coke ovens of city gas
plants are used for manufacturing coke for blast furnaces, casting furnaces, and
general use. No description of the purpose of the coke production was given for
the three "coke manufacturing chemical companies and coke manufacturing
*Although 2,201 workers who retired between 1947 and 1973 were traced, only
the cancer deaths from 1949 to 1973 were included in the study. The authors
provided no explanation for the period 1947 to 1949.
108
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companies." There was no statistical difference between the observed and
expected cancer (all sites) mortality or lung cancer mortality when the study
population consisted of retired workers from all 11 companies combined.
Sakabe et al. then compared the observed cancer mortality for the 674
retired workers from the four iron and steel plants and the 1,261 retired
workers at the four city gas companies with the expected cancer mortality for
those companies. The number of retired workers among the "coke manufacturing
chemical companies and coke manufacturing specialized companies" was too small
for statistical comparison of observed and expected cancer mortality. Cancer
mortality (all sites) was not significantly (P < 0.05) different from that
expected for either the iron and steel plants (36 observed, 31.87 expected) or
the city gas companies (51 observed, 69.77 expected). Lung cancer mortality
among the iron and steel plants coking companies was significantly greater than
expected however (8 observed, 3.38 expected, P 5 0.022). No statistical
difference between the observed and expected lung cancer mortality was found for
the city gas companies.
When Sakabe et al. looked at proportionate cancer mortality, the proportion
of lung cancer cases to all cancers was significantly greater (P ^ 0.05)
than expected for the iron and steel plants but not for the city gas companies.
Sakabe et al. also studied the age of lung cancer onset and working period
at the coke ovens. For all coke oven (including both city gas and iron and
steel plants) workers, lung cancer was found to occur after 5 years of working
and at the age of 50 or over (except for one individual whose age was reported
as 44). Among coke oven workers of the iron and steel plants, lung cancer
occurred after 10 years of working and at the age of over 50 years.
Smoking data for the lung cancer cases was incomplete. Of the 18 coke oven
workers who died from lung cancer, 10 were smokers, 2 were nonsmokers, and no
109
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information was available for 6. Reliable information concerning the amount of
smoking for each smoker could not be obtained.
In conclusion, Sakabe et al. found a statistically significant
(P ^ 0.022) excess of lung cancer mortality among workers retired from
plants that produce coke for blast furnaces, but not among retired coke oven
workers from city gas companies. The difference of observed to expected,
however, is of a magnitude that could be explained by differences in smoking
habits, and thus, conclusions from the study, because of the inadequate smoking
data, are somewhat limited. An excess of lung cancer mortality among the coke
oven workers at the city gas companies was not found perhaps because the coke
ovens at the gas companies may be operated from 100°C to 300°C lower than the
coke ovens at the iron and steel plants. '
The authors also found that the proportion of lung cancer mortality to all
cancer mortality was significantly (P < 0.05) in excess among retired coke oven
workers of iron and steel plants, but not among retired coke oven workers of
city gas industries.
110
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Summary
Lloyd (1971) and Redmond et al. (1972, 1976, 1979) found an excess of total
cancer mortality and respiratory organ cancer mortality among workers employed
at coke works. Both were found to be dose-related. Workers exposed to low
(side oven), medium (side oven and topside), and high (topside only) exposure
had increasingly greater excesses of total cancer mortality rates and lung
cancer mortality rates. Not only was there an increase in excess lung cancer
mortality by occupation site, but there was an increase by length of exposure
as well. Workers exposed 5 years or more had a greater excess of lung cancer
than workers exposed less than 5 years.
As indicated earlier, one criticism of the Lloyd (1971) and Redmond et al.
(1972, 1976, 1979) studies is that smoking data were not taken. An analysis
of lung cancer mortality is generally not considered adequate without smoking
data. However, the dose-responses seen in the Lloyd and Redmond et al.
studies is so striking that it is improbable that the excess in lung cancer
mortality could be explained by differences in smoking habits.
An apparent discrepancy in the Lloyd and Redmond et al. studies is that
the excess lung cancer mortality among nonwhite workers in Allegheny County
was significant, while that among white workers was not significant. Several
explanations have been offered for this phenomenon. Perhaps the most obvious
explanation is that more nonwhites than whites were employed at the coke ovens
in Allegheny County, particularly as full-time topside workers, and the excess
among nonwhites may have been significant because of their larger sample size.
Redmond et al. (1979) suggested that the difference may be because, within the
respective subsites at the coke ovens, whites and nonwhites may have had
different jobs and consequently different exposure to volatile hydrocarbon
effluents. Redmond et al. (1979) also suggested that the difference may be
111
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because mortality rates for lung cancer have been shown in other studies to be
inversely correlated with educational qualifications and occupational
category. As Redmond et al. (1979) noted, however, the expanded studies of
non-Allegheny County coke oven workers found that the lung cancer risk was
significant for both whites and nonwhites. In addition, Mancuso (1977) has
suggested that the difference in cancer mortality risk between the nonwhites
and whites in the Allegheny County plants may have resulted because a majority
of the nonwhites were migrants from the South.* Since Mancuso did not report
how many of the total steelworker population (from which the expected
mortality data were derived) were also migrants from the South, it would be
premature to conclude that being a nonwhite worker from the South predisposes
one to cancer. Also, it would be difficult to separate the effects of place
of origin and race from the effects of industrial exposure. Impoverished
migrant workers may well take any job that is offered including those jobs
that place persons at an excess risk of cancer. Finally, as noted above, the
Redmond et al. studies of non-Allegheny County coke oven workers found that
excess risk of lung cancer was significant for both whites and nonwhites.
Prostate cancer mortality was significantly (P < 0.05) increased among all
Allegheny County coke oven workers ever employed in 1953. For workers having
worked 5 or more years, however, the excess was not significant. Similar to
the apparent discrepancy between whites and nonwhites above, an excess of
prostate cancer mortality did exist among workers employed 5 years or more,
but possibly because of small sample size, the excess was not significant.
Among the non-Allegheny County workers, the excess in prostate cancer
*In 1974, Mancuso and Sterling reported that migrants in Ohio,
particularly migrants from the South, had higher death rates for various
cancer sites than did persons born in Ohio.
112
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prostate cancer was significant for nonwhite workers only.
Kidney cancer mortality was significantly increased (P < 0.01) among white
workers in the Allegheny County study. Small excesses in kidney cancer were
seen for both whites and nonwhites in the non-Allegheny County plants, but
these excesses were not significant (P < 0.05).
Sakabe et al. (1975) found that there was a significant excess of lung
cancer mortality among retired Japanese coke oven workers at iron and steel
coking plants when compared to cancer mortality among the general population.
The excess found, however, is of a magnitude that could be explained by
differences in smoking habits. Thus, because smoking data for the study was
inadequate, conclusions from the study are somewhat limited.
Reid and Buck (1956) found a significant (P < 0.05, one-tailed test)
difference between the observed and expected mortality for cancer, other than
respiratory cancer, for coke plant workers whose last job was listed as "coke
ovens." No excess was found for respiratory cancer deaths. When mortality
was analyzed by whether the workers had ever worked at the coke ovens, no
significant excess in respiratory or other cancer mortality was found. The
Reid and Buck study had a number of deficiencies, however. The study
population was poorly defined and the "observed deaths" may not have included
deaths of workers not "on the books." Furthermore, the study did not
sufficiently address the issue of a cancer latency period since little or no
follow-up of vital status occurred. Analysis of mortality among retired
workers was not adequate since there was no adjustment for age.
navies (1977, 1978) did not find any significant difference between the
observed and expected cancer mortality of the coke oven workers at two coke
works in South Wales. Davies's study cohort was relatively small (Number =
610), however, and he followed his cohort for only 11 years.
113
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Ceilings (1978) found an excess of lung cancer among the coke plant
workers when compared to rates for Great Britain (45.0 observed vs. 35.7
expected); this excess was not significant (P > 0.05), however. Like the
Davies study, Col lings followed his cohort for a relatively short period of
time (9 years). Also, his coke plant study cohort included nonoven workers as,
well as coke oven workers which would have caused a diluting effect, possibly
resulting in the failure to detect a significant increase. An internal
comparison done by Collings did not find a significant difference between coke
oven workers and the entire cohort of coke plant workers, but the sizes of the
non-oven and part-oven subgroups were not large enough to have permitted a
meaningful analysis. It should also be noted that coke ovens are operated at
lower temperatures in Great Britain than they are in the United States
(Doherty and DeCarlo 1967), which may also contribute to the lack of positive
findings in the three British studies on coke workers (Reid and Buck 1956,
navies 1977, and Collings 1978).
The update by Redmond et al. of the study begun by Lloyd consistently
showed a significant excess of lung, trachea, and bronchus cancer mortality.
In the Redmond et al. studies, there was a dose-response both by working area
(topside, side oven and part-time topside, and side oven) and by length of
exposure. Prostate cancer and kidney cancer also appeared to be in excess in
the Redmond et al. (1979) update. Because the British studies had some design
deficiencies and did not follow the workers as long as the American studies
did, and because neither the British studies nor the Sakabe et al. study
considered occupational categories within the coke works, the positive results
of the American studies are considered a better evaluation of the cancer risk
to coke oven workers. Therefore, based on results of the American studies, it
is concluded that exposure to coke oven emissions increases the risk of cancer
114
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of the lung, trachea, and bronchus; kidney; and prostate, as well as cancer at
all sites combined.
115
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ANIMAL STUDIES
Topside Coke Oven and Coke Oven Main
Topside coke oven sample extract has been tested as a tumor initiator in
initiation-promotion skin treatment studies in two strains of mice (Nesnow et
al. 1981, Nesnow 1980). An extract of material from a coke oven collecting
main has also been evaluated for activities as a whole carcinogen, an
initiator, and a promoter [in skin treatment studies with one strain of mouse
(Nesnow et al. 1981)]. ;
Initiation-Promotion Studies—
Nesnow et al. (1981) have evaluated the effects of extracts of topside
coke oven emission and coke oven main samples in initiation-promotion and
complete carcinogenicity studies in mice. The methods for obtaining the test
samples from coke ovens has been described by Huisingh (1981) and Huisingh et
al. (1979). Topside coke oven samples were collected as particulate matter
with a Massive Air Volume Sampler, and coke oven main samples were obtained
from a separator located between the gas collector and the primary coolers
within the coke oven battery. The samples were soxhlet-extracted with
dichloromethane, which was subsequently removed by evaporation under dry
nitrogen gas. All test materials used in this study were prepared under
yellow light immediately before application, in 0.2 ml spectral grade acetone,
onto test sites.
Mice of the SENCAR strain, derived from mating female Charles River CD-I
mice with male skin tumor sensitive (STS) mice, were selected as the test
animals in this study.
Each control and treatment group consisted of 40 male and 40 female mice
which were 7 to 9 weeks old at the start of the study. Animals were caged in
116
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groups of 10 under yellow light. Test sites on the skin were shaved 2 days
before initial treatment, and only mice in the resting phase of the hair cycle
were used. In the initiation-promotion experiments, initiating agents were
applied as single doses except for the 10 mg (highest) dose which was given as
five daily doses of 2 mg each. At 1 week following application of initiator,
2 ug of the promoter 7,12-dimethylbenz[a]anthracene-12-0-tetradecanoylphorbol-
13-acetate (TPA) was topically applied twice per week. In tests for complete
carcinogenicity, test material was applied once weekly, or twice weekly at the
highest dose, for 50 to 52 weeks. Test substances evaluated as promoting
agents were applied to the skin once each week, or twice each week at the
highest dose, for 34 weeks following skin treatment with a 50.5 ug dose of the
initiator benzo[a]pyrene (B[a]P).
Animals were observed weekly for tumor formation, and papillomas over 2 mm
in diameter and carcinomas were included in cumulative totals if they
persisted for at least 1 week. Papillomas were scored at 6 months or, in the
test for promoting activity, 34 weeks, and carcinomas were totaled after 1
year. The authors indicate that examination of animals by necropsy and
tissues and tumors by histopathology was being done and that pathologic data
would be presented in a separate forthcoming report.
Results of initiation-promotion experiments on topside coke oven sample
extract, coke oven main sample extract, and B[a]P as initiating agents are
compared in Table VI-18. The stronger effect of the coke oven main sample
compared to the topside coke oven sample reflects the greater concentration of
ingredients contributing to the initiating activity of the former sample.
Responses to the coke oven main sample and B[a]P in the study for complete
carcinogenesis are shown in Table VI-19. Promoting activity was found with
the coke oven main sample and TPA following initiation with B[a]P
117
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TABLE VI-18.
SENCAR MOUSE SKIN TUMORIGENESIS
(Nesnow et al. 1981)
Dose
(ug/mouse)
0
0
2.52
2.52
12.6
12.6
50.5
50.5
101
101
100
100
500
500
1000
1000
2000
2000
10,000
10,000
100
100
500
500
1000
1000
2000
2000
10,000
10,000
Mice with
No. Mice ! Papillomas*
Surviving (%)
(M)
(F)
(M)
(F)
(M)
(F)
M
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
37
39
40
39
40
37
39
40
38
38
40
40
40
40
37
39
39
38
39
40
38
39
39
39
39
39
40
40
38
37
BENZO[A]PYRENE -
8
5
45
31
73
57
100
75
95
97
TOPSIDE COKE OVEN
13
10
73
70
95
72
95
90
100
100
COKE OVEN MAIN -
50
31
90
82
87
90
78
100
100
100
Mice with
Papillomas Carcinomast
per mouse* (%)
TUMOR INITIATION
0.08
0.05
0.50
0.44
1.8
1.1
5.8
2.8
10.2
7.9
- TUMOR INITIATION
0.13
0.20
1.6
1.8
2.6
2.0
4.0
3.5
7.1
7.7
TUMOR INITIATION
0.63
0.38
3.7
2.2
3.3
3.1
3.1
5.3
8.9
8.1
5
0
5
5
20
23
25
20
30
25
0
8
5
15
15
3
13
10
13
20
10
25
54
54
53
48
48
45
55
65
Carcinomas
per Mouset
0.05
0
0.07
0.05
0.20
0.23
0.25
0.20
0.33
0.25
0
0.08
0.05
0.15
0.15
0.03
0.13
0.10
0.15
0.23
0.10
0.25
0.59
0.54
0.53
0.48
0.48
0.45
0.55
0.65
*Scored at 6 months.
tCumulative score after one year.
118
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TABLE VI-19. SENCAR MOUSE SKIN TUMORIGENESIS
(adapted from Nesnow et al. 1981)
Dose Mice with Carcinomas*
(ug/mouse/week) (%)
12.6
12.6
25.2
25.2
50.5
50.5
101
101
202
202
0
0
100
100
500
500
1000
1000
2000
2000
4000
4000
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
.(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
(M)
(F)
BENZO[A]PYRENE - COMPLETE CARCINOGENESIS
10
8
63
43
93
98
80
90
80
93
0
0
COKE OVEN MAIN - COMPLETE CARCINOGENESIS
5
5
36
30
48
60
82
78
98
75
Carcinomas
per Mouse*
0.10
0.08
0.63
0.43
0.93
0.98
0.83
0.98
0.80
0.98
0
0
0.05
0.05
0.36
0.30
0.55
0.60
1.00
0.78
0.98
0.85
Cumulative score after one year.
119
-------
(Table VI-20). Spontaneous tumor formation in the control groups was not
evident in the studies for complete carcinogenesis and promoting activity
(Tables VI-19 and VI-20) and was below 10% incidence for papillomas and was 5%
(males) or 0% (females) incidence for carcinomas in the experiment for
initiating activity (Table VI-18).
Results of the study by Nesnow et al. (1981) show that coke oven main
sample extract contained ingredients capable of producing skin tumors in
SENCAR mice either as an initiator, a promoter, or a complete carcinogen.
Topside coke oven sample extract was also active as an initiating agent;
however, according to Nesnow et al. (1981), an unknown portion of the topside
sample was contaminated with particulate matter from ambient air due to the
location of the Massive Air Volume Sampler and local wind conditions (this
issue is further discussed on pages 39, 41, and 44 of the mutagenicity section
herein). Hence, the extent to which the topside coke oven sample extract used
in the initiation-promotion experiment is representative of topside coke oven
sample per se appears uncertain.
Data in Tables VI-18 and VI-19 show that the tumorigenic responses to the
coke oven sample extracts and B[a]P tended to be constant at all doses above
the lowest dose in the dose ranges used. The nature of these dose-responses
indicates that the doses used were in the range capable of producing maximal
effects in relation to the sensitivity of the SENCAR strain to the initiating
and complete carcinogenic properties of these test materials. The authors
proposed that a lack of a monotonic dose-response across a dose range may be
due to a toxic effect of the test material being tested which damages the
epidermis to yield a reduced tumorigenic response. Forthcoming results of the
histopathologic examination of skin test sites may provide evidence in favor
of this possibility. However, although not identified as an experimental
120
-------
TABLE VI-20. SENCAR MOUSE SKIN TUMORIGENESIS
COKE OVEN MAIN - TUMOR PROMOTION
(adapted from Nesnow et al. 1981)
TPA
TPA
Dose
(ug/mouse)
0 (M)t
0 (F)
100 (M)§
100 (F)
500 (M)
500 (F)
1000 (M)
1000 (F)
2000 (M)
2000 (F)
4000 (M)^l
4000 (F)
, 4 ug (M)#
, 4 ug (F)
Mice with Papillomas*
0
0
3
10
26
38
53
68
84
85
100
100
86
97
Papillomas per mouse*
0 -
0
0.02
0.10
0.44
0.83
1.2
1.2
2.5
3.1 .'
8.2
8.8
3.1
5.9
tMice initiated with 50.5 ug benzo[a]pyrene (B[a]P) and subsequently
treated weekly with acetone.
§Mice initiated with 50.5 ug (B[a]P) and subsequently treated weekly with
coke oven main.
UMice initiated with 50.5 ug (B[a]P) and subsequently treated twice weekly
with 2 mg coke oven main.
#Mice initiated with 50.5 ug (B[a]P) and subsequently treated twice weekly
with 2 ug TPA.
121
-------
problem in the study report, it is possible that the rather constant response
over the dose ranges used may be due to incomplete solubility of the test
samples in acetone, which in turn actually might have resulted in the
application of rather similar doses throughout the dose ranges. Nonetheless,
although the responses in Tables VI-18 and VI-19 were generally not monotonic
throughout the entire dose ranges used, the data clearly show positive
activity for the indicated test materials. As shown in Table VI-20, a clearer
indication of a dose-related effect was obtained in the evaluation of coke
oven main sample extract as a promoter.
In summary, coke oven main sample extract was positive as a complete
carcinogen, an initiator, and a promoter on the skin of SENCAR mice, and
topside coke oven sample extract was positive as an initiator on the skin of
SENCAR mice.
Nesnow (1980) reported results of an additional initiation-promotion
experiment with the topside coke oven extract on C57BL/6 mice done for
comparison with the experiment on SENCAR mice. Similar protocols were used
for the two studies except that the C57BL/6 mice were on study for 52 weeks.
Tumor-initiating activity at the application site was not observed with coke
oven emission sample extract at doses as high as 10 mg/mouse; however,
tumor-initiating activity was also not demonstrated with the positive control
chemical, benzo[a]pyrene, at doses as high as 403.68 ug/mouse. Thus, results
obtained in the experiment on C57BL/6 mice are considered inconclusive as
indicated by the resistance of this mouse strain to tumor-initiating activity
by the positive control agent.
122
-------
Coal Tar
Cardnogenicity studies on aerosols of coal tar and coal tar fractions in
laboratory animals were reported by Morton (1961), Morton et al. (1963), Tye
and Stemmer (1967), MacEwen and Vernot (1972-1976), Kinkead (1973), McConnell
and Specht (1973), and MacEwen et al. (1976). These studies provide evidence
for a carcinogenic effect of coal tar aerosol test samples as discussed
herein.
Numerous carcinogenicity studies on coal tar samples applied topically to
the skin of laboratory animals have been reported. Studies discussed herein,
which show an ability of coal tar samples to produce local tumors following
skin treatment, include those reported by Bonser and Manch (1932), Hueper and
Payne (1960), Morton (1961), and Wai leave et al. (1971). Morton (1961) and
Wallcave et al. (1971) tested coal tar samples from coking operations.
Inhalation Exposure Studies--
Morton et al. (1963) examined C3H mice (a strain that was reported to have
a low historical incidence of spontaneous pulmonary adenomas) for lung tumors
following inhalation exposure to coal tar aerosol, gaseous formaldehyde, or
gaseous formaldehyde followed by coal tar aerosol. In the first part of the
experiment, groups of 60, 60, and 42 mice were exposed to concentrations of
0.5, 0.10, or 0.20 mg/liter, respectively, of gaseous formaldehyde for three
1-hour periods per week. The control group consisted of 59 untreated mice.
After 35 weeks, none of the animals that were sectioned of those that died
(118 of 221) during the period had developed lung tumors. The surviving
animals were used to conduct further experiments with coal tar and
formaldehyde. The surviving 33 mice from the control group in the first part
of the experiment and the surviving 26 mice from the group that had been
123
-------
exposed to 0.10 mg/liter of gaseous formaldehyde in the first part of the
experiment were exposed to 0.30 mg/liter of coal tar aerosol for three 2-hour
periods per week for up to 36 weeks. The surviving 36 mice from the group
that had been exposed to 0.05 mg/liter of formaldehyde in the first part of
the experiment were exposed to 0.15 mg/liter of formaldehyde for three 1-hour
periods each week for up to 35 weeks. Also, the untreated control group* was
observed for 82 weeks.
The test animals were exposed to the test substances until death. The
first death occurred 1 to 11 weeks after exposure and the longest time until
death was 36 weeks. Serial sections of the trachea, large bronchi, and lung
Of the exposed animals and sections of the lung of 30 unexposed mice were
examined (Table VI-21).
Five mice inhaling coal tar aerosol and one mouse inhaling formaldehyde
followed by coal tar developed squamous cell tumors in the periphery of the
lung, involving one-third to one-half of the lobe. In two mice from the
former group, several lobes were involved. A sixth mouse in the former group
that died after 20 weeks of exposure had an invasive squamous cell carcinoma,
which was described as "unquestionably a squamous cell carcinoma, whereas,
those occurring in the other five animals probably represented an earlier
stage of development at the time of death." One mouse in each group had
adenoma of the lung. Tumors of the lung were not observed in mice breathing
formaldehyde only or in untreated controls.
There were other changes produced in the tracheobronchial epithelium as
the result of the inhalation of coal tar. The most striking was a necrotizing
tracheobronchitis in the majority of mice; the incidence was not reported. In
*Tne initial size of the untreated group was not reported. At the
termination of the experiment at 82 weeks, the group consisted of 30 mice.
124
-------
TABLE VI-21. TUMORS OF THE LUNG IN MICE INHALING FORMALDEHYDE
AND/OR AEROSOL OF COAL TAR
(adapted from Horton et al. 1963)
Treatment
Untreated
Controls
Coal Tar
Formaldehyde
and Coal Tar
Formaldehyde
Squamous Cell
Tumors
0/30
6/33*
1/26
0/36
(0%)
(18%)
(4%)
(0%)
Adenomas
0/30
1/33
1/26
0/36
(0%)
(3%)
(4%)
(0%)
Total
0/30
7/33
2/26
0/36
(0%)
(21%)
(8*)
(0%)
125
-------
addition, squamous cell metaplasia extended into the smaller bronchi.
Hyperplasia of the bronchial epithelium occurred frequently, sometimes with
papillary infolding. The epithelium of untreated mice was normal, showing
neither metaplasia nor hyperplasia.
Epithelial changes in mice inhaling formaldehyde involved mostly the
trachea; extension into the major bronchi was infrequent and did not occur at
all in the smaller bronchi. In general, the inhalation of formaldehyde
resulted in an acute tracheobronchitis ranging from slightly to severely
necrotizing, or developing into a chronic type with proliferation of fibrous
tissue. This was sometimes complicated by bronchopneumonia. In summary, mice
inhaling coal tar aerosol developed squamous cell carcinomas of the lung, as
well as hyperplastic and metaplastic epithelial changes.
Tye and Stemmer (1967) separated two different coal tars into phenolic
(P-tar) and nonphenolic (N-tar) fractions and exposed mice by inhalation to
various blends of the coal tar fractions and to one of the original tars. The
same coal tar (T-l) (specific gravity 1.17; 4.5% tar acid, 0.7%
benzo[a]pyrene, and 67% Diels-Adler compounds*) that was used in the
experiments by Horton, Tye, and Stemmer (1963) and a second, somewhat
different tar (T-2) (specific gravity 1.24; 1.4% tar acid, 1.1%
benzoCa]pyrene, and 2% Diels-Adler compounds*), were the two tars from which
the phenolic (P-tar) and nonphenolic (N-tar) fractions were separated.
Fifty male C3H/HeJ mice, 3 to 5 months old, were in each test group. The
tests groups consisted of untreated, Tar-1, N-Tar-1, N-Tar-1 plus P-Tar-1,
N-Tar-1 plus P-Tar-2, and N-Tar-2 plus P-Tar-1. Mice were exposed for 2 hours
*'As indicative oflmthracene and polycyclic aromatic hydrocarbons with
three linear aromatic rings with a free meso position.
126
-------
every 3 weeks. During the first 8 weeks, the exposure was at a concentration
of 0.20 mg/liter, but this was reduced to 0.12 mg/liter because so many mice
died.
Three mice from each group were killed after 4 weeks, and five mice were
killed after 31 weeks. Surviving mice were killed at the end of 55 weeks.
Mortality from exposure was high in all groups of treated mice. At the end of
the experiment, there were 31/50 (62%), 11/50 (22%), 11/50 (22%), 10/50 (20%),
21/50 (42%), and 21/50 (42%) mice alive in the control, Tar-1, N-Tar-1,
N-Tar-1 plus P-Tar-1, N-Tar-1 plus P-Tar-2, and N-Tar-2 plus P-Tar-1 groups,
respectively. Tumor response is recorded in Table VI-22.
The most prominent lesions were intrabronchial adenomas and
adenocarcinomas, occurring anywhere in the bronchial tree. Multiple tumors
were frequently seen. The intrabronchial adenomas were papillary. There also
were alveolar adenomas which were peripheral. Tumors of the lung were
diagnosed as adenocarcinomas only if there was invasion or if metastases were
observed.
Adenomas and adenocarcinomas of the lung were observed in 60% to 100% of
the mice inhaling aerosols of coal tars, whereas tumors were not seen in any
of the control mice. Incidences of squamous metaplasia varied from 10% to 38%
in treated mice and were absent in control mice. "Alveolar epithelization"
was also observed, but less often than squamous metaplasia. Areas of squamous
and alveolar metaplasia were not considered as tumors, even when they occupied
relatively large spaces.
MacEwen and Vernot (1972-1974), Kinkead (1973), and McConnell and Specht
(1973) reported on a study in which mice, rats, hamsters, and rabbits were
exposed to a coal tar aerosol from which the light oil and solid fraction was
127
-------
TABLE VI-22. INCIDENCE OF LUNG TUMORS IN MICE INHALING AEROSOLS OF COAL TARS*
(adapted from Tye and Stemmer 1967)
Treatment
Untreated
Controls
Tar-1
N-Tar-1
N-Tar-lt
P-Tar-1
N-Tar-lt
P-Tar-2
N-Tar-2t
P-Tar-1
Metaplasia
0/32
5/13
2/20
5/19
7/25
4/23
(0%)
(38%)
(10%)
(26%)
(28%)
(17%)
Adenomast
0/32
12/13
16/20
14/19
14/25
14/23
(0%)
(92%)
(80%)
(74%)
(56%)
(61%)
Adenocarcinomas
0/32
3/13
0/20
1/19
1/25
0/23
(0%)
(23%)
(0%)
(5%)
(4%)
(0%)
Adenomas and
Carcinomas
0/32
13/13
16/20
15/19
15/25
14/23
(0%)
(100%)
(80%)
(79%)
(60%)
(61%)
*Mice surviving for 46 weeks or longer.
tlncludes intrabronchial and alveolar adenomas.
128
-------
removed. Gross skin pathology for the mice was reported; any other tumor
response in the mice and in the other animals was not reported.*
Groups of 64 female yearling and 64 weanling (32 of each sex)
Sprague-Dawley rats, 50 male JAX-CAF1 mice, and 50 male ICR-CF1 mice were
exposed continuously for 90 days (except for 15 minutes a day to allow for
animal maintenance) to concentrations of 0.2, 2.0, and 10.0 mg/m3 of coal
tar aerosol. Ninety-two female yearling Sprague-Dawley rats, 82 weanling
Sprague-Dawley rats (73 female and 9 male), 75 male JAX-CAF1 mice, 75 male
ICR-CF1 mice, 100 male golden Syrian hamsters, and 24 New Zealand white
rabbits were exposed continuously, as above, for the same 90-day period to a
concentration of 20 mg/m3. The control animals consisted of 41 female and
41 male Sprague-Dawley weanling rats, 82 female Sprague-Dawley yearling rats,
75 male JAX-CAF1 mice, 75 male ICR-CF1 mice, 24 female New Zealand white
rabbits, and 100 male golden Syrian hamsters (MacEwen and Vernot 1972). Many
of the mice contracted a streptococcus infection and died before 93 days
postexposure. Skin tumor response for the mice is found in Table VI-23.
Tumor responses of 28% (10 of 36), 38% (3 of 8), and 8% (2 of 25) were
seen in the three highest dose groups of the ICR-CF1 mice; no tumors (0 of 62)
were found in the controls. A tumor response of 37% (10 of 27) was found in
the highest dose group JAX-CAF1 mice; no tumors (0 of 74) were found in the
JAX-CAF1 controls. McConnell and Specht (1973) examined some of the skin
tumors histologically and concluded that a whole spectrum of epithelial
tumors, from squamous cell papilloma to keratoacanthoma to "frankly
aggressive" appearing squamous cell carcinoma are stimulated by the coal tar
*Per contractual agreement, Sasmore performed internal and skin
histopathology for the study and reported his results (Sasmore 1976), but
because information in the Sasmore report is incomplete, no conclusions can be
made about the report.
129
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TABLE VI-23. TUMOR RESPONSE IN MALE ICR-CF1 AND JAX-CAF1 MICE
FOLLOWING EXPOSURE TO COAL TAR AEROSOL
(adapted from McConnell and Specht 1973)
Dose (rng/rn^)
20.0
10.0
2.0
0.2
0.0
ICR-CF1*
10/36
3/8
2/25
0/2
0/62
(28%)t
(38%)§
(8%)§
(o«)§
(0%)t
JAX-CAF1*
10/27
0/12
0/47
0/47
0/74
(37%)t
(0%)§
(0%)§
(0%)§
(0%)t
*The numerator is the number of animals with tumors at 415 days
postexposure. The denominator is the number of animals that were alive at 93
days postexposure.
tThis dose group began with 75 animals.
§This dose group began with 50 animals.
130
-------
aerosol, although the majority of these tumors fall in the squamous cell
category. McConnell and Specht also found a time-to-tumor dose-response for
the coal tar aerosol. This dose-response is shown in Table VI-24. As stated
above, tumor response was not reported for the rats, hamsters, or rabbits.
MacEwen and Vernot (1975 and 1976) and MacEwen et al. (1976) reported on
two studies of the tumor response of mice, rats, rabbits, and monkeys
following exposure to coal tar aerosol. In the first study, 80 female
Sprague-Dawley yearling rats, 80 Sprague-Dawley weanling rats (40 males and 40
females), 75 JAX-CAF1 male mice, 75 ICR-CF1 male mice, and 100 male Syrian
golden hamsters were exposed continuously for 90 days (except for 15 minutes a
day to allow for animal maintenance) to concentrations of 0.2, 2.0, and 10.0
o
mg/m-3 of coal tar aerosol. An equal number of each species were used for
controls. The coal tar used to generate the aerosol in this study was:
a composite mixture collected from multiple coking ovens around
the greater Pittsburgh area. The coking ovens were of several
different types and used different coal sources for their starting
materials. The coke oven effluents were collected in air collec-
tion devices using a chilled water spray to condense the higher
boiling distillate fractions. After settling and separation of the
liquid phase, the various coal tar samples were blended together
with a 20% by volume amount of the BTA (benzene, toluene, xylene)
fraction of the coke oven distillate.
An aerosol particle size determination in the exposure chambers was performed,
and it was found that a minimum of 97% of all droplets were in a respirable
range of 5 microns or less in diameter. Only skin tumor response for the mice
was reported (Table VI-25). Tumor response was not reported for the hamsters
or rats.
In the second study, 75 female and 100 male ICR-CF1 mice (described as
tumor susceptible), 50 female JAX-CAF1 mice (described as a tumor-resistant
hybrid strain), 40 male and 40 female CFN strain Sprague-Dawley weanling rats,
131
-------
TABLE VI-24. LATENT PERIOD OF FIRST TUMOR INDUCTION IN CTV-I EXPOSED
ICR-CF1 MICE
(McConnell and Specht 1973)
Dose (mg/m3)
Time of Tumor Appearance (Days)
20
10
2
< 93
128
142
TABLE VI-25. SKIN TUMOR RESPONSE IN ICR-CF1 AND JAX-CAF1 MICE FOLLOWING
EXPOSURE TO COAL TAR AEROSOL
(MacEwen and Vernot 1976)
Cumulative Number of Tumors*
Dose
(mg/m3)
10
2
0.2
Week of
Observationt
100
103
101
Exposed
44/75 (59%)
14/75 (19%)
1/75 (1%)
ICR-CF1
Control
3/75 (4%)
0/75 (0%)
0/75 (0%)
Exposed
18/75 (24%)
3/75 (4%)
1/75 (1%)
JAX-CAF1
Control
1/75 (1%)
0/75 (0%)
1/75 (1%)
*The numerator is the number of animals with tumors; the denominator is
the number of animals exposed.
tlncludes the 90-day exposure period.
132
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18 New Zealand albino rabbits, and 5 male and 9 female Macaca mulatta monkeys
were exposed to 10 mg/m^ of coal tar aerosol for 6 hours each day, 5 days
per week, for 18 months. The coal tar used to generate the aerosols in this
study was the same as that of the first study. Aerosol particle size was
determined monthly in the exposure chambers. A minimum of 99% of the total
droplets in both chambers were 5 microns or less in diameter and were thus
within a respirable size range for rodents.
Exposure to the coal tar at 10 mg/m^ significantly reduced the body
weight of rabbits and rats compared with the controls, whereas monkeys showed
no significant change in body weight. Sixteen of 18 rabbits and 6 control
mice died during the test period. These deaths were attributed to a chronic
respiratory infection which caused debilitation and dehydration. At the
conclusion of the exposure period, the test monkeys and the surviving test
rabbits along with the unexposed controls were delivered to the National
Institute for Occupational Safety and Health (NIOSH) Laboratories in
Cincinnati, Ohio. Since the number of surviving rabbits (2 of 18) was too few
for statistical comparison, and those animals were sacrificed (Gibb 1978a), no
tumor response was found in the sacrificed rabbits (Gibb 1978b). The monkeys
were kept for observation at the NIOSH Laboratories until 1979 when they were
moved to Gulf South Research in New Iberia, Louisiana, where they are
currently being maintained. One of the dosed monkeys died in 1981; results of
the autopsy are not yet available (Gibb 1981).
Alveolargenic [sic] carcinomas were produced in 26 of 61 (43%) ICR-CF1
mice and in 27 of 50 (54%) JAX-CAF1 mice. The number of tumors in the ICR-CF1
and the JAX-CAF1 control mice were 3 of 68 (4%) and 8 of 48 (17%),
respectively. The exposed and control groups did not differ in the incidence
of other types of tumors including squamous cell carcinomas, lymphosarcomas,
133
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subcutaneous sarcomas, alveolargenic adenomas, bronchiogenic carcinomas,
reticulum cell sarcomas, hemangiosarcomas, and hemopoietic tumors.
Skin tumors were produced in 5 of 75 (7%) of the ICR-CF1 mice and 2 of 50
(4%) of the JAX-CAF1 mice as compared to 3 of 75 (3%) and 1 of 50 (2%) in the
ICR-CF1 and JAX-CAF1 controls, respectively. The criterion for counting a
1'esion as a skin tumor was a growth greater than 1 mm in diameter and in
height. Each tumor was ultimately confirmed by histologic examination.
MacEwen et al. compared the lack of skin tumor response in the second study to
the tumor response of the 10 mg/m3 dose group of the first study. As stated
previously, the first study found a skin tumor incidence of 14 of 75 (59%) in
the treated ICR-CF1 controls and 18 of 75 (24%) in the treated JAX-CAF1 mice
as opposed to only 3 of 75 (4%) in the ICR-CF1 controls and 1 of 75 (1.3%) in
the JAX-CAF1 controls, respectively. A calculation of total exposure time
(MacEwen et al. 1976) revealed that the same amount of coal tar aerosol
reached the skin of mice in the second study as in the first study. MacEwen
et al. suggested that the 18-month intermittent exposure of the animals in
their study allowed the animals enough time each day to permit normal cleaning
of the fur.
The incidence of coal tar tumorigenesis in rats is reported in Table
VI-26. The incidence of squamous cell carcinomas in the lungs was 100%
(38/38) in exposed males and 82% (31/38) in exposed females as opposed to 0%
(0/36) in male controls and 0% (0/37) in female controls.
A dose-related tumor response was observed for both the ICR-CF1 and the
JAX-CF1 mice.
134
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TABLE VI-26. COAL TAR TUMORIGENESIS IN RATS
(MacEwen et al. 1976)
Controls
Males Females
Exposed
Males Females
Number Examined Histologically*
Number of Rats with Tumors:
Squamous Cell Carcinoma, Lung
Squamous Cell Carcinoma
Intra-abdominal Carcinoma
Mammary Fibroadenoma
Mammary Adenocarcinoma
Other Tumors
Overall Tumor Incidence (%)
30
0
0
0
0
0
0
0
37
0
1
1
1
1
1
13
38
38
0
o
0
0
8
100
38
31
0
n
\j
3
n
\J
2
82
-1 • ~ • •«~-' f'*- i ;jivv*t-' »*«a -J TU « i IWWG V C I $ UC*_aUoC Ul
autolysis and/or cannibalization, a few animals were unsuited for
histopathological examinations.
Topical Application Studies--
Bonser and Manch (1932) studied the tumor response from application to
mouse skin of three samples of Scottish blast-furnace tar, one sample of
English crude tar, and an ether extract of the latter. The three samples of
Scottish tar (I, n, in) were made from coke oven charges which contained in
addition to the coal, 15 to 17%, 25%, and 10% coke, respectively; the English
crude tar was made from a charge containing 75% coal and 25% coke. Sixty mice
were used for testing each sample of tar. There were no negative and positive
control groups. The hair was clipped away from a small area of skin in the
region between the shoulder blades. The tar was applied biweekly for the
first 14 weeks, and thereafter once weekly because of marked ulceration of the
skin of many mice. Tar samples were used without indication of further
preparation in solvent. The study was-continued for 56 weeks, by which time
all the mice had died. Fifty-seven tumors were grossly identified. Thirty-
one of the total 57 tumors that had developed were confirmed historically.
135
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Tumor findings are described in Table VI-27. In mice treated with the
three Scottish samples, the first tumors appeared at the 18th week. The
Scottish I, II, and III tar samples produced a tumor incidence of 7/60 (12%),;
10/60 (17%), and 8/60 (13%), respectively. The tumors were malignant in three
mice. The first tumor appeared at the 21st week when an English crude tar was
used. Eight mice (13%) treated with the English crude tar developed tumors as
did 24 mice (40%) treated with an ether extract of the English crude tar.
Nine tumors in mice given the ether extract were malignant.
The tumors were papillomas or squamous cell carcinomas of the skin. The
carcinomas invaded the muscle. One malignant tumor, seen after 47 weeks of
application of ether extract of English tar, consisted of a mass of
"mononuclear round cells" invading the adjacent muscle and fat and metas-
tasizing to the lymph nodes.
TABLE VI-27. INCIDENCE OF SKIN TUMORS IN MICE TREATED WITH BLAST FURNACE TARS
(adapted from Bonser and Manch 1932)
Number Of
Animals
with Tumors/
Tar Sample
Scottish I
Scottish II
Scottish III
English Crude
Number of
7/60
10/60
8/60
8/60
Animals
(12%)
(17%)
(13%)
(13%)
Appearance of
First Tumor
(weeks)
16
16
16
21
Malignant
Tumors
0/60 (0%)
2/60 (3%)
1/60 (2%)
0/60 (0%)
Ether Extract
of English Crude
24/60 (40%)
12
9/60 (15%)
136
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Hueper and Payne (1960) found that skin tumors were produced in mice
following the application of coal tar. Coal tar, four petroleum road asphalts
(Venezuelan, Mississippian, Oklahoman, and Californi.an), one petroleum roofing
tar, and paraffin oil were applied to the napes of the necks of groups of 50
black C57 mice (25 of each sex) for 2 years. An untreated control group
consisted of 200 mice. A positive control group was not used in this study.
So that the materials, could be applied as droplets, the coal tar and roofing
asphalt were heated to make them liquid, and the road asphalts were diluted
with a sufficient amount of acetone. The paraffin oil was painted on the
skin. Post-mortem examinations were performed on all mice, and histological
examinations were made of all tissues which exhibited gross abnormalities.
The results are found in Table VI-28.
Carcinomas of the skin were found in 22 of 50 (44%) and papillomas in four
of 50 (8%) mice receiving dermal applications of coal tar, whereas control
mice did not develop tumors of the skin.
Hueper and Payne also administered some of the substances via inhalation
and intramuscular injection. Daily volatilization of 10 to 30 g of coal tar
did not produce lung tumors in female Bethesda black rats or strain 13 guinea
pigs inhaling the fumes 5 hours daily*, 4 days per week, for periods up to 2
years. However, coal tar distillate produced muscle sarcomas in 50 of 100
mice given 6 biweekly intramuscular injections and observed for a duration of
2 years.
Horton (1961), in several experiments, tested a number of crude coal tars,
coal tar distillates, and fractions of coal tar for skin tumor response in C3M
mice. In the first part of the study, five coal tars (four from the coking of
bituminous coal and one from the coking of lignite coal), a mixture of one
137
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TABLE VI-28. SKIN TUMORS IN MICE GIVEN DERMAL APPLICATIONS OF COAL TAR,
PETROLEUM ROOFING TAR, PARRAFIN OIL, OR PETROLEUM ROAD ASPHALTS
(adapted from Heuper and Payne 1960)
Treatment
Skin
Carcinomas
Skin
Papillomas
Total
Control
Coal Tar
Petroleum
Paraffin
Roofing Tar
Oil
0/200
22/50
1/50
1/50
(0%)
(44%)
(2%)
(2%)
0/200
4/50
0/50
1/50
(0%)
(8%)
(0%)
(2%)
0/200
23/50
1/50
2/50
(0%)
(46%)
(2%)
(4%)
Petroleum Road Asphalt
Venezuelan 0/50 (0%)
Mississippian 1/50 (2%)
Oklahoman 0/50 (0%)
Californian 1/50 (2%)
0/50
1/50
1/50
0/50
(0%)
(2%)
(2%)
(0%)
0/50
2/50
1/50
1/50
(0%)
(4%)
(2%)
(2%)
138
-------
of the bituminous coal tars in 50% benzene, and a benzo[a]pyrene mixture were
tested. The authors did not report using a control group. No data were
provided on the number of mice tested nor on the length of time the animals
were treated; however, the time-to-tumor for each group was reported. The
incidence of tumors was reported to be greater than 75% (only a percentage was
reported) for each test group. Morton developed a numerical index designed to
grade the various tars and tar fractions for relative carcinogenic potency.
This index was referred to as the potency for a minimum concentration of
material (PMC). A high PMC value was meant to indicate a greater carcinogenic
potency. For tars D-l and 0-613, for which multiple doses were applied, a
dose-response was evident. The mean time-to-tumor (in weeks), the schedule of
application, and the PMC values for each of the tars, the tar solution, and
the benzo[a]pyrene solution are reported in Table VI-29.
Two tars from the previous group (D-l and D-8) were chosen to test the
effect of skin washing with a detergent in water 5 to 60 minutes after tar
application. Tars D-l and D-8 had the highest (0.8) and lowest (0.1)
benzene-insoluble content, respectively. Washing delayed tumor development,
but the final tumor incidence was not significantly changed. The delay was
greater in the animals washed 5 minutes after dermal application.
Norton also determined the relationship between the amount of
benzo[a]pyrene in distillates of coal tar and the carcinogenic potency of
those distillates. Tar D-l, a distillate oil of D-l (the first 9 to 13.5% of
the distillation), a proportionate reblend of nine distillate fractions of D-l
and two distillate fractions (a carbolic oil and a light creosote oil) of a
coal tar (D-9) not previously used in the experiments, were tested for BaP
content and carcinogenic potency (PMC) to the skin of mice. With the
exception of Tar D-l, all test materials were applied to mice (strain
139
-------
TABLE VI-29. MEAN TIME-TO-TUMOR AND PMC VALUES FOR FOUR BITUMINOUS TARS,
ONE LIGNITE TAR, AND ONE SOLUTION OF BENZO[A]PYRENE
(adapted from Morton 1961)
Schedule of
Application
Treatment (Doses/week - mg/Dose)
D-l
n-4
D-5
D-5A
D-8
D-12
D-613
- bituminous tar
- bituminous tar
- bituminous tar
- 50% dilution
by weight of
D-5 tar
- bituminous tar
- lignite tar
- benzo[a]pyrene
in 85% beta-
methyl naphthalene
and 15% benzene
solution
2-1
2-50
3-100
2-10
2-10
2-10
3-50
3-50
2-15
2-50
Mean Time-to- PMC*
Tumor (weeks)
15. 6t
12. 6t
7.0t
24.8
23.6
25.1
21.9
17.1
33. Ot
30. 6t
iT* i n -t-vio Dwr
0.27t
0.37t
0.63t
0.13
0.14
0.13
0.11
0.16
0.08t
O.lOt
•inrre3<;p<; as
carcinogenic potency increases.
tThe multiple doses for Tars D-l and D-613 demonstrated a mean
tumor and a PMC dose-response.
time-to-
140
-------
unspecified) in 10 mg doses. Tar D-l was applied in 20 mg doses. The number
of applications was described as "repeated," but neither the frequency nor the
duration was specified. The PMC values and benzo[a]pyrene content of the test
substances are reported in Table VI-30.
Comparison of the benzo[a]pyrene content with the carcinogenic potencies
of various fractions showed that no tumors were produced by those fractions in
which no benzo[a]pyrene could be detected, while the carcinogenic potency of
the test materials that contained benzo[a]pyrene was correlated with their
content by weight of this carcinogen. Despite this observation, the authors
did caution that these results do not imply that benzo[a]pyrene is the only
carcinogen in these substances.
TABLE VI-30. PMC VALUES AND BENZO[A]PYRENE CONTENT FOR TWO COAL TARS, SEVERAL
DISTILLATES OF THOSE COAL TARS, AND A PROPORTIONATE REBLEND OF THE DISTILLATES
FROM ONE OF THE TARS
(adapted from Horton 1961)
Test Material
Tar D-l
Distillate Oil of
Doses (mg)
20
10
Content of
Benzo[a]pyrene (%
0.74
0.01
Relative Carcinogeni
) Potency (PMC)
0.27
0.01
c
Tar D-l
Proportionate Reblend 10
the Nine Cuts of
Tar D-l
Carbolic Oil of Tar
D-9 10
Light Creosote Oil 10
of Tar D-9
0.08
0.00
0.00
0.11
0.00
0.00
141
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Wallcave et al. (1971) prepared benzene extracts of coal tar pitches
obtained from coke ovens and tested them for carcinogenic activity on mouse
skin. Equal numbers of male and female Swiss albino mice received twice
weekly applications of 1.7 mg of coal tar pitch in 25 ul of benzene. Exposed
animals survived for an average of 31 weeks. Among 58 treated mice, 53
developed skin tumors, of which 31 were carcinomas. Although tumors at other
sites were present, the incidence in the control and experimental groups were
similar. No carcinomas and only one papilloma on the skin were found in 26
control mice painted with benzene alone. Wallcave et al. (1971) identified
several polycyclic hydrocarbons, including benzo[a]pyrene (0.84 and 1.25% of
undiluted coal tar pitch in 2 samples), in the pitch samples and concluded
that they were responsible for the tumorigenic effects observed.
142
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CARCINOGENICITY OF COKE OVEN EMISSION COMPONENTS
Polycyclic Organic Matter (POM)
Numerous polycyclic aromatic compounds are distinctive in their ability to
produce tumors in skin and most1epithelial tissues of practically all species
tested. Malignancies are often induced by acute exposures to microgram
quantities of POM (for a review, see U.S. EPA 1979). Latency periods can be
short (4 to 8 weeks) and the tumors produced may resemble human carcinomas.
Carcinogenesis studies involving POM have historically involved primarily
effects on the skin or lungs. In addition, subcutaneous or intramuscular
injections are frequently employed to produce sarcomas at the injection site.
Ingestion has not been a preferred route of administration for the bioassay of
POM. A listing of POM found in coke oven emissions is presented in Table
VI-31 along with an indication of carcinogenic activity.
Other Carcinogens Identified in Coke Oven Emissions
The contribution of compounds other than POM to the carcinogenic activity
of coal combustion products has received little attention. Other constituents
of coke oven emissions that have been found to be carcinogenic include
arsenic, lead, beryllium, chromium, nickel, 2-naphthylamine, and benzene (U.S.
EPA 1977a; 1978b, c; 1980n; IARC 1973b; 1974; 1976; 1979).
j)ocarcinogens
Numerous compounds, which by themselves display no carcinogenic activity,
are known to enhance the tumorigenic activity of B[a]P when applied together
to the skin of mice (Hoffman et al. 1978, Van Duuren and Goldschmidt 1976).
These so-called cocarcinogens include certain PAH-containing fractions of
tobacco tar, and several structurally diverse compounds (catechol, pyrogallol,
143
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TABLE VI-31.
POLYCYCLIC ORGANIC MATTER (POM) IDENTIFIED IN
COKE OVEN EMISSIONS*
Compound
Animal Carcinogenicityt
IARC CAG
Anthracene
Benz[a]anthracene
Oi benz[a ,c]anthracene
Methylphenanthrene
Phenanthrene
BenzoCc]phenanthrene
Benzo[a]fluorene
Benzo[b]fl uorene
Dihydrobenzo[a]fl uorene
Dihydrobenzo[b]fluorene
Dihydrobenzo[c]fluorene §
Fluoranthene
Benzo[c]fluorene
Benzo[b]f1uoranthene
Benzo[j]f1uoranthene
Benzo[k]f1uoranthene
Benzo[ghi]f1uoranthene
Pyrene
Methylpyrene
Benzo[a]pyrene
Benzo[e]pyrene
Dibenzopyrenes
Chrysene §
Triphenylene §
Perylene
Benzo[ghi]perylene §
Anthanthrene §
Coronene
Acridine
Benzoquinoline
Octahydrophenanthrene
Octahyd roanth racene
Dihydrofluorene
Benzindene
Fluorene
Dihydrophenanthrene
Dihydroanthracene
Methylfluorenes
Fluorene Carbonitrile
Methyl anthracene
Ethylphenanthrene
Ethyl anthracene
(continued on the following page)
144
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TABLE VI-31. (continued)
Compound
Animal
I ARC
Carci nogeni ci tyt
CAG
Octahydrofluoranthene § ?
Octahydropyrene § ?
Indeno[l,2,3-cd]pyrene + +
Dibenz[a]anthracene +
Benz[c]acridine + +
Dibenz[a,h]acridine + +
Dibenz[a,j]acridine + +
Dihydrofluoranthene' ?
Dihydropyrene ?
Methylfluoranthene _+
Dihydrobenz[a]anthracene § 7
Dihydrochrysene § ?
Dihydrotriphenylene § ?
Dihydromethylbenz[a]anthracene § ?
Dihydromethylchrysene § ?
Dihydromethyltriphenyl ene § ?
Methyl benz[a]anthracene 4^
Methyltriphenylene T
Methyl chrysene . +_
Dihydromethylbenzo[k and b]- ~
fluoranthenes§ ?
Dihydromethylbenzo[a and e]pyrenes § ?
Dimethylbenz[a]anthracene § + +
Dimethyltriphenyl ene §
Dimethylchrysene § +
Methylbenzo[k]fluoranthene § ?
Methylbenzo[b]fluoranthene § ?
Methylbenzo[a]pyrene +
Dimethylbenzo[k and b]-
fluoranthenes ?
Dimethylbenzo[a]pyrene +
o-Phenylenepyrene ?
Methyldibenzanthracene +
Methylbenzo[ghi]peryl ene ?
*The POM's were identified in coke oven emissions by Lao et al. 1975 or
Bjorseth et al. 1978. The data on carcinogenicity is taken from CAG (1980b)
and IARC (U.S. EPA 1979).
tSymbols: + complete carcinogen or. tumor initiator
- negative
? activity not known
+_may be positive or negative depending on the isomer tested
Confirmation of chemical structure questionable in Lao et al. (1975).
145
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anthralin, decane, undecane, tetradecane). Since many of these compounds may
occur in coke oven emissions, the possibility arises that they may contribute
to carcinogenic risk. However, the mechanism of cocarcinogenesis is not
understood, and its relevance to tumor formation in tissues other than mouse
skin is not known. Thus, we can only conclude that the presence of
cocarcinogens in complex mixtures such as coke oven effluents may pose an
additional risk for humans beyond that attributable to recognized carcinogens
such as benzo[a]pyrene.
146
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VII. QUANTITATIVE ESTIMATION
INTRODUCTION
This quantitative section deals with the unit risk for coke oven emissions
in air and the potency of coke oven emissions relative to other carcinogens that
the CAG has evaluated. The unit risk estimate for an air pollutant is defined as
the lifetime cancer risk occurring in a population in which all individuals
are exposed continuously from birth throughout their lifetimes to a concentration
of 1 ug/m3 of the agent in the air they breathe. This calculation is done to
estimate in quantitative terms the impact of the agent as a carcinogen. Unit
risk estimates are used for two purposes: 1) to compare the carcinogenic
potencies of several agents with each other, and 2) to give a crude indication of
the population risk that might be associated with exposure to these agents, if
the actual exposures are known.
The data used for the quantitative estimate can be of two types: 1) life-
time animal studies, and 2) human studies where excess cancer risk has been
associated with exposure to the agent. It is assumed, unless evidence exists
to the contrary, that if a carcinogenic response occurs at the dose levels used
in a study, then responses will occur at all lower doses with an incidence
determined by the extrapolation model.
There is no solid scientific basis for any mathematical extrapolation
model that relates carcinogen exposure to cancer risks at the extremely low
concentrations which must be dealt with in evaluating environmental hazards.
For practical reasons, such low levels of risk cannot be measured directly
either by animal experiments or by epidemiologic studies. We must, therefore,
depend on our current understanding of the mechanisms of carcinogenesis for
guidance as to which risk model to use. At the present time, the dominant
147
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view of the carcinogenic process involves the concept that most agents that
cause cancer also cause irreversible damage to DNA. This position is reflected
by the fact that a very large proportion of agents that cause cancer are also
mutagenic. There is reason to expect that the quanta! type of biological
response, which is characteristic ,of mutagenesis, is associated with a linear
non-threshold dose-response relationship. Indeed, there is substantial evidence
from mutagenesis studies with both ionizing radiation and a wide variety of
chemicals that this type of dose-response model is the appropriate one to use.
This is particularly true at the lower end of the dose-response curve. At higher
doses, there can be an upward curvature probably reflecting the effects of
multistage processes on the mutagenic response. The linear non-threshold dose-
response relationship is also consistent with the relatively few epidemiologic
studies of cancer responses to specific agents that contain enough information
to make the evaluation possible (e.g., radiation-induced leukemia, breast and
thyroid cancer, skin cancer induced by arsenic in drinking water, liver cancer
induced by aflatoxins in the diet). There is also some evidence from animal
experiments that is consistent with the linear non-threshold model (e.g., liver
tumors induced in mice by 2-acetylaminofluorene in the large scale EDgi study
at the National Center for Toxicological Research and the initiation stage of
the two-stage carcinogenesis model in rat liver and mouse skin).
Because of these facts, the linear non-threshold model is considered to be
a viable model for any carcinogen, and unless there is direct evidence to the
contrary, it is used as the primary basis for risk extrapolation to low levels
of exposure.
The quantitative aspect of carcinogen risk assessment is included here
because it may be of use in the regulatory decision-making process, e.g., in
setting regulatory priorities, evaluating the adequacy of technology-based
148
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controls, etc. However, it should be recognized that the estimation of cancer
•a
risks to humans at low levels of exposure is uncertain. At best, the linear
extrapolation model used here provides a rough but plausible estimate of the
upper limit of risk, i.e., it is not likely that the true risk would be much
more than the estimated risk, but it could very well be considerably lower.
The risk estimates presented below should not be regarded as accurate
representations of the true cancer risks even when the exposures are
accurately defined. The estimates presented may, however, be factored into
regulatory decisions to the extent that the concept of upper risk limits is
found to be useful.
ESTIMATION OF THE UNIT RISK—CONSIDERATIONS
The Need to Employ Mathematical Models, and the Errors They Introduce
To estimate a unit risk directly, one would need a cohort of individuals
exposed from birth to death to 1 ug/m3 of coke oven emissions. The estimate
of the unit risk would then be the observed number of respiratory cancer deaths
in the cohort minus the expected number of respiratory cancer deaths divided by
the number of individuals who were originally in the cohort. The expected
number of respiratory cancer deaths would be based upon an equivalent nonexposed
population. Obviously, no such ideal situation will ever exist for a human
population.
To estimate the unit risk from human data, we must make use of the information
contained in epidemiol ogic studies. Typically, epidemic! ogic studies involve
workers whose exposure started and stopped at different ages and fluctuated over
time due to changes in job classification and working conditions. Also, workers
enter the cohort under observation for cancer mortality at different ages and are
followed for different lengths of time (usually less than their full lifetimes).
149
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In order to use this type of fragmented information to predict lifetime
cancer mortality due to lifetime environmental exposures, it is necessary to
postulate a mathematical relationship between the future age-specific cancer
death rate and the past exposure pattern. Once this relationship is established,
it can then be used to estimate the unit risk by a well-known mathematical
technique.
The use of a mathematical relationship or model, although necessary, introduces
several major sources of potential error in the estimation of risk. All such
models contain unknown parameters that must be estimated from the data obtained
from epidemiologic studies. The parameter estimates are variables that may
differ from the true unknown parameter values by amounts that are large enough
to alter estimates of risk considerably for low levels of exposure. To express
the plausible range of risk associated with an assumed mathematical model, con-
fidence bounds on the risk are obtained. These bounds are values between which
we have a specified degree of confidence that the true unknown risk lies. However,
the accuracy of these derived confidence bounds depends upon how well the assumed
model corresponds to the true dose-response relationship.
The mechanisms by which a chemical induces cancer are not presently understood.
As a result, it is not possible to derive any mathematical model that relates
exposure to cancer rate with a high degree of plausibility.
The difference between the assumed dose-response relationship and the true
unknown response constitutes an additional source of error in estimating risk.
This source of error, however, is not very great if the levels of exposures on which
a risk estimate is desired are near the levels of exposure which existed in the
epidemiologic study from which the dose-response model is derived. In such a
case, the confidence bounds constitute a reasonable approximation of the total
uncertainty. However, as the difference between the two exposures increases, the
150
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uncertainty associated with the difference between the assumed and actual dose-
response model increases rapidly, and eventually exceeds all other sources
of uncertainty.
The next section discusses some of the general factors that should be
considered in selecting a form for the mathematical model to be used to
generate unit risk estimates.
Selecting a Form of a Model for the Age-Specific Exposure-Induced Respiratory
Cancer Death Rate" ~~~ ~~
A number of general principles, some of which stem from the logical
basis of scientific method, are relevant in deciding how to select a model to
describe the age-specific exposure-induced cancer death rate.
The Model Should Conform to the Observed Data Set--
For any set of data there exists an infinite number of mathematical models
that can give predictions which fall within the limits of the random error
associated with the data. Some of these models fit the data better than others.
Hence, there is a temptation to select the model that gives the "best fit" as
the one to use in making risk predictions. The trouble with this approach is
that the "best-fitting model" selected in this manner is itself a random variable.
A small change in the data could alter what was defined as the "best-fitting
model." If the predictions of risk relate to exposures that fall within the
range of the experimental data used to derive the model, it is of little practical
consequence which of the adequately fitting models is used. However, the choice
of model becomes critical when one attempts to extrapolate far beyond the range
of the experimental data. Two models that give an adequate fit to the data in
the experimental range can give answers that differ by many orders of magnitude
for environmental levels of exposure.
151
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To illustrate this point, consider the following hypothetical but typical
example. Assume that an experiment was run at three dose levels, plus a control
level, and that the results were as shown in Table VII-1.
TABLE VII-1. HYPOTHETICAL BIOASSAY DATA
Test Group
Number
(J)
1
2
3
4
Exposure Level
mg/kg
(Xj)
0
1.0
1.4591
2.0176
Number of Site-
specific Tumor Deaths
-------
where b1 is arbitrarily fixed at 0.01, and b* is the maximum likelihood estimated
O
value of the cubic term for b]^ = 0.01. The maximum likelihood solution for the
cubic term in this case is b* = 0.2188, so that
O
-(O.Olx, + 0.2188X,3)
PAJ = e .
The resulting risk obtained for the two models for the experimental exposure
levels and three low environmental exposure levels are compared in Table VII-2.
TABLE VII-2. PREDICTED RISK LEVELS USING MAXIMUM LIKELIHOOD MODEL AND
AN ALTERNATIVE MODEL
Exposure
X
2.0176
1.4591
1.0
0.1
0.01
0.001
PO
0.84000
0.50000
0.20000
2.23 x ID'4
2.23 x 10-7
2.23 x 10-10
PA
bj = 0.01
0.83752
0.50056
0.20451
1.22 x 10-3
1.00 x 10-4
1.00 x ID-5
Observed Result
r/n
0.84
0.50
0.20
The maximum likelihood fit is slightly better in the observed range, and
the estimates of risk in the environmental range are much smaller for the
maximum likelihood model. If the maximum likelihood model is used to predict .
risk, it should have some meaningful measure of superiority over the alternative
model. This measure of superiority is expressed as the relative likelihood or
odds ratio R. It is found that the odds ratio in this case is R = 1.0043. Thus
153
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the maximum likelihood is 0.43% more likely than the alternative model. This
slight superiority of the maximum likelihood model is of a lesser magnitude
than many other differences that are generally perceived as insignificant. For
example, assume that upon revaluation of the pathological data, one of the
positive tumors in the high-dose group is considered not to be a tumor after
all, and that there are thus 41 rather than 42 tumors in the high-dose group.
If our previous models were evaluated with the new data set, the results obtained
would be R = 0.9861.
Therefore, even a minimal and highly plausible change in the data set would
change the relative risk so that the alternative model would have a 1.42% greater
odds than the original maximum likelihood model. Alternatively, if the probability
is 0.232 or better that one or more of the originally diagnosed tumors in the
high-dose group is not a tumor, then the alternative model would be more likely
to be correct than the original maximum likelihood model.
As the foregoing examples have indicated, the maximum likelihood model cannot
be regarded as a very prudent method of estimating risk at low exposure levels,
especially when the experimental evidence indicates that it is almost as likely
that the risks are five orders of magnitude higher. We cannot simply use the
best-fitting model to obtain our risk estimates without having the potential for
seriously underestimating the true risk.
Nevertheless, it is still important that the model chosen be consistent
with the observed data. It is impossible to prove that a model is correct or
incorrect on the basis of observed data. All that can logically be said is
that if the model is correct, then a departure from the predicted .results as
large or larger than the observed results would occur with a probability of P
or less. As a matter of convention, a critical value a is chosen. If the
observed departure value P is less than «, the data are deemed inconsistent
154
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with the model, and the model is rejected from further consideration. The
value a is frequently set at 0.05. However, this is strictly arbitrary. If
the consequences of discarding a model when it is true are quite grave, a might
be set at 0.01 or even a smaller quantity. Also, P is often obtained from a
statistical test based on a number of approximations and/or assumptions. In
this case, it is important to evaluate whether the data set is of sufficient
size to assure the validity of the approximations upon which the test is based.
A large data set will have the ability to discriminate between a number of
models, rejecting some and accepting others. However, no matter how large a data
set is, there are still an infinite number of potential models that would be
consistent with the observed data. It is clear that other criteria for selecting
a model need to be considered in order to narrow the range of potential models.
The Model Should Be Based Upon an Acceptable Biological Theory that is Consistent
with Known Facts--
Ideal ly, one would use only models derived either from an underlying biological
theory that had wide acceptance or from a new theory constructed from a set of
logically acceptable principles. The problem is that of defining what constitutes
"wide acceptance" and "logically acceptable principles" in the area of the
mechanisms of cancer response.
The Model Should Be As Simple As Possible--
All other things being equal, a principle often used to decide among
theories is that of "Occam's Razor" (Cohen 1931). Occam's Razor expresses
the proposition that nothing extraneous should be part of a theory, or that a
model should be as simple as possible. Although it is not always clear what
is meant by "simple," the word may logically be interpreted to mean "requiring
as few parameters as possible to adequately describe the data."
155
-------
Special Considerations for Particular Applications of the Model
In selecting a model for practical use, the consequences of selecting the
wrong model must also be considered. In our case, the use of a model that
underestimates the true risk could result in a decision with a serious impact
on human life. To guard against that possibility, we tend to be conservative.
This means that unless there is specific, explicit information to the contrary,
we will use the model that gives the highest risk at environmental levels of
exposure, subject to the constraints that the model have an acceptable scientific
basis and be consistent with the observed data. Therefore, our estimates
should be viewed as plausible upper bounds of risk. It is possible that the
actual risk may be far lower than we predict. The true risks may be virtually
zero at low doses where different mechanisms controlling dose-response may come
into play. One could also obtain estimates of risk with a variety of other
models that fit the data in the observed range, and that have acceptable scienti-
fic bases. However, since such estimates would lie between zero and our upper
bound, they would not supply any additional information on the true risk, nor
would they have any other practical use.
Another practical consideration is that the unit risk numbers generated
will be used in a relative sense for comparison of different environmental
hazards. To assure meaningful comparisons, the techniques and assumptions used
to generate the models should be as consistent as possible. This consistency
should also be maintained between animal bioassays and human epidemiologic
studies.
A large number of mathematical models relating exposure to cancer risk may
be postulated. However, the models that can be applied to the coke oven data are
highly restricted by the form of the available data. In the next section, the
data base available for obtaining a unit risk estimate is discussed.
156
-------
DATA BASE AVAILABLE FOR THE ESTIMATION OF UNIT RISK
The best source of information available for estimating the unit risk due
to coal tar pitch volatiles is a series of epidemiologic studies that followed
the mortality experience of steelworkers who had worked or were working around
coke oven batteries. Lloyd et al. (1970), Lloyd (1971), Redmond et al. (1972)
and Redmond et al. (1976) obtained mortality data for a cohort of coke oven
emission-exposed steelworkers over a 15-year period. Mazumdar et al. (1975)
used monitoring information collected and reported by Fannick et al . (1972) on
worker exposure in Pennsylvania in the 1960s to estimate exposure levels for
various job classifications. Mazumdar et al. then used these job classification
exposure estimates in conjunction with the working histories of the cohort
followed by Redmond et al. to obtain an exposure profile for each individual in
the cohort.
Land (1976) sorted the data assembled by Mazumdar et al. into 12 age
groups at the beginning of the observation period* Each age group was stratified
into a number of exposure intervals where exposure was in units of mg/m^ x months.
The exposure units were obtained by multiplying the air concentrations of coal tar
pitch volatiles times duration of employment.
Land also calculated the same type of summary data under the condition that
any exposure that occurred within a specified "lag time" from a year of observa-
tion was not included in the cumulative exposure total for that year. The
exposure data compiled by Land is shown in Tables VII-3 and VII-4. Table VII-3
shows the data for the controls, and Table VII-4 shows the data for the cohorts
exposed to coke oven emissions.
The unit risk estimates in this document are based on the information gen-
erated by Land (1976). This choice was dictated by the circumstances. It would
have been preferable to use as our data base the Redmond et al. (1979) study,
157
-------
which updates the mortality experience of the coke oven-exposed population to
1976. This would give more person-years of observation for analysis of black
workers, and also would allow the use of the respiratory cancer mortality
experience of white workers, which had become statistically significant by this
time. Unfortunately, the exposure analysis has not been extended beyond 1966.
As a result, the decision was made to use the more limited mortality data, up
to 1966, with an extensive exposure analysis, rather than the more complete 1976
study which had, by comparison, very limited exposure information.
TABLE VII-3. LUNG CANCER MORTALITY EXPERIENCE OF NONWHITE COKE OVEN
WORKERS COMPARED TO CONTROLS
(Land 1976)
Age at
Entry
<20
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70+
Total
Popn*
343
779
869
700
601
560
458
409
301
148
48
11
5227
Controls
Casest
0
0
1
2
1
3
8
9
3
1
0
0
28
Person-years
/ of Observation
4633
11027
12387
10018
8487
7740
6187
5119
3651
1607
455
107
71418
*Number of individuals in the cohort at the start of the observation
period.
tNumber of respiratory cancer deaths over the observation period.
158
-------
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It would also have been preferable to use Mazumdar's original data set,
which contained the entire exposure pattern, length of follow-up period, and
vital status for each individual in the cohort. This would have made it possible
for various age-specific dose-response models to be fitted to the data in a way
that accounted for both the timing and the level of exposure in a mathematically
optimum manner. However, time and resource constraints precluded that option
for at least the short term.
As a result, our analysis had to be based upon the summary data generated
by Land (1976). This data set contains little information on the timing of
exposure and death. It also has a number of other limitations and problems
associated with it. These will be discussed in more detail later in this
document in conjunction with discussions of specific mathematical models.
However, the advantage of this data set is that it still contains far more
extensive information about the relationship between exposure and mortality
than is presently available for any other study on coke oven emissions.
In the next section, the methods used to obtain estimates of the parameters
for the age-specific exposure-induced respiratory cancer death rate models
from the Land data are outlined. Some of the problems associated with using
the data in the form given by Land are also discussed.
AGE-SPECIFIC EXPOSURE-INDUCED RESPIRATORY CANCER DEATH RATE MODELS
Detailed Discussion of the Exposure Parameter Compiled by Land (1976)
In order to have an appreciation of some of the problems associated with
using the data base assembled by Land (1976), it is necessary to understand exactly
how the exposure parameter was computed. The exposure variable calculated by
Land for each individual in the cohort is the I-year lag-time-adjusted cumulative
average exposure over the observation period. This variable can be obtained in
177
-------
the following manner. For a given year in the observation period, the total
mg/fa3 x months of exposure is calculated up to that point in time. The I-year
o
lag-time adjustment is made by subtracting from the total exposure the mg/m x
months of exposure that occurred within the last I years.
The I-year lag-time-adjusted exposure evaluated at the ttn year may be
expressed in mathematical terms by the relationship
t-I
x(s)ds
where x(s) is the instantaneous exposure rate at time s.
This calculation is done for each year the individual was under observation
in the mortality study. The average of these yearly values is the I-year lag-
time-adjusted average exposure for the individual. The actual value shown by
Land for each of the exposure-age cells in Table VI 1-4 is the average for all
individuals in the cell of their I-year lag-time-adjusted average exposure.
The rationale for the lag-time adjustment is clear. It is known for many
carcinogens that the initializing event which ultimately results in a tumor death
can occur many years prior to the death. This has been shown to hold in such
varied cases as:
(1) leukemia, respiratory, and other cancers due to atomic bomb radiation,
(2) respiratory cancer due to smoking cigarettes, and
(3) mesotheleomia due to asbestos exposure.
If the carcinogen's primary action is on early events in the carcinogenic process,
then the likelihood that a particular exposure causes the death diminishes as
the time of death approaches. In this case, to consider all exposures of the
same magnitude to have the same effect regardless of when they occurred would
give a distorted picture of the true dose-response relationship.
178
-------
To correct for this possibility, Land made the simplest possible type of
lag-time or latency period adjustment. He assumed that for an exposure to have
an effect, it must have occurred at least I years prior to the time of death.
If the exposure occurred I years prior to the time of observation, it was given
full weight; if it did not, it was given no weight. Since the length of the
lag time was unknown, various lag times were selected that were typical of the
observed latency periods in other known situations.
This simple approach would more closely approximate the true dose-response
relationship if the underlying assumption of a true latency period was valid.
It would be desirable to see which lag-time assumption gave the best fit
to the observed data. Unfortunately, due to Land's way of organizing the data,
it is not possible to make a valid comparison between lag-time assumptions.
For the comparison to be valid, the same individuals would have to remain in ,
the exposureage cells with their exposure variable changing due to lag time.
For the most part, as seen in Table VII-4, this was not done. The exposure
intervals were held constant and the number of cases in each exposure-age cell
varies as the lag time changes. These changes result in a change in the "infor-
mation content" of the data sets. As a result, it is impossible to determine
how much of the total information gain is due to reorganizing the data, and how
much is due to a better fit.
Therefore, one assumption of lag-time length cannot be chosen over another
on the basis of the available data. Other types of lag-time adjustments that
give different weights for exposures at different lengths of time from the
observation period might have been preferable, but data of that nature has yet
to be assembled.
Given these constraints, each lag-time assumption given in Table VII-4 '
will be used to estimate risks separately, and the varying results due to
179
-------
lag-time differences will be regarded as simply another source of potential
error.
Specific Mathematical Models
Two different general mathematical forms will be assumed for relating
exposure to induced cancer death rate. Each form is analogous to a mathematical
model commonly used to obtain risk estimates from animal bioassay data, and
each has various advantages.
"Weibull" Type Model--
The type of model with the fewest parameters that will adequately fit the
data in Table VI1-4 is "Weibull" in form.
It is assumed that the increase in the exposure-induced cancer death rate
is proportional to the lag-time-adjusted cumulative exposure raised to some
unspecified power. This may be expressed as
r(t) = AX(I,t)m
where r(t) is the exposure-induced cancer rate at time t; A and m are unknown
parameters to be estimated from the data; and X(I,t) is the lag-time-adjusted
cumulative exposure previously defined.
In order to estimate A and m from the available data, a number of simplify-
ing assumptions need to be made. It is assumed that the exposure-induced
cancer death rate is constant over the observation period for each of the
exposure-age cells. This increased constant rate is assumed to be predicted by
the Heibull relationship, where the exposure is the average I-year lag-time-
adjusted cumulative exposure for an exposure-age cell shown in Table VI1-4.
180
-------
The increased exposure-induced cancer death rate in each cell is estimated by
dividing the estimated increase in the number of respiratory cancer deaths by the
person-years of observation. This relationship may be expressed as
r = 0-E
where 0 is the observed number of respiratory cancer deaths, and W is the person-
years of observation, both of which are given in Table VI1-4 for each of the
exposure-age cells. The value E is the expected number of respiratory cancer
deaths in an exposure-age cell under the assumption that the exposure had no
effect on the respiratory cancer death rate.
The values of E are estimated by assuming that the same background res-
piratory cancer death rate exists for the exposed population as was observed in
the control population of comparable age. However, to obtain more stable
rates, the control populations for different age groupings were combined, and
this combined estimate applied to more than one age grouping. Table VII-5
shows how these combined estimates were obtained and the subgroups to which
they were applied. The expected number of respiratory cancer deaths in the
absence of an exposure effect is thus calculated by multiplying the person-years
of observation in the exposure-age cell by the corresponding estimated background
rate given in Table VII-5. Thus E = Wr0 for each cell, and the estimated
increased respiratory cancer rate is
0-Wr
r =
o.
This increased rate is then equated to the average I-year lag-time-adjusted
cumulative exposure given in Table VII-4, which we denote as X(I). Assuming a
Weibull-type relationship between the variables, we obtain the relationship
181
-------
0-Wr
o _
= AX(I)r
which may also be expressed as
0 = W[rQ + AX(I)m]
TABLE VI1-5. CALCULATION OF ASSUMED BACKGROUND RESPIRATORY CANCER
DEATH RATES FROM DATA IN TABLE VII-4
Age at
Entry
<30
30-39
40-49
50-59
>60
Observed
Cases
0
1
3
11
12
1
Person -years
VJ
28,047
18,505
13,927
8,770
2,169
Estimated
Background Rate
r = 0/W
3.5654 x ID'5
1.6212 x 10-4
7.8983 x 10-4
1.3683 x 10-3
4.6104 x 10-4
The assumption is made that the observed number of cases is a Poisson random
variable with a mean equivalent to the right side of the previous equation.
Under this assumption, the maximum likelihood estimators of A and m are obtained
for each of the four lag times. In addition, a 95% confidence interval is
obtained for the parameter m, which will be the critical variable in the estima-
tion of risk at low exposures. The results of these calculations are shown in
Table VII-6.
A wide variability is noted in the power parameter m, ranging from
slightly larger than a cubic model for the upper-bound zero lag, to slightly
larger than a linear model for the lower-bound 15-year lag. Also, within a
single lag time, the power parameter will vary by more than one full unit of
power.
182
-------
TABLE VI1-6. ESTIMATED PARAMETERS FOR "WEIBULL" TYPE
MODEL FOR EACH LAG-TIME ASSUMPTION WITH CONFIDENCE LIMITS
Lag Time
I
0
5
10
15
-— — •—— -~-- — —i———— ———— — -,
*u.b. - upper
estimate.
Function of
Parameter m*
95% u.b.
m. I.e.
95% l.b.
95% u.b.
m. I.e.
95% l.b.
95% u.b.
m. I.e.
95% l.b.
95 u.b.
m. I.e.
95% l.b.
bound; l.b. = lower
Value of
Function
3.03
2.37
1.80
2.62
2.07
1.60
2.29
1.66
1.15
1.80
1.39
1.03
bound; m. I.e.
A Value
Associated with
Corresponding
m Function
l.OOxlO-11
7.60x10-10
2.86xlO-8
2.55x10-10
8.54xlO-9
8.43x10-8
8.82x10-10
9.21x10-8
1.86xlO-5
1.28x10-7
1.39xlO-6
l.OOxlO-5
= maximum likely
This statistical variability in the power parameter will translate into wide
variability in risk estimates. In addition, there is a serious drawback in using
the Weibull model with its statistical limits of error to predict the probable
range of risks. That approach does not in any manner account for the potential
deviation of the Weibull model from the true but unknown dose-response relation-
ship.
Numerous factors indicate that the Wei bull model may not be .the true dose-
response model at low environmental levels of exposure. The observed Wei bull-type
relationship could possibly be an artifact of how the data was arranged rather
than the true shape of the dose-response curve. This would be the case if total
183
-------
exposure were positively correlated with length of exposure, and if exposures
in the past had more effect than exposures near the observation period.
Under the Wei bull model, where exposure is constant and continuous at
level x, i.e., x(s) = x o I
so that the exposure-induced cancer rate at time t is
r(t) = A [x(t-I)]m = Axm(t-I)m.
Thus, the Wei bull model predicts that exposure rate and length of exposure
corrected for a latency will have the same power m. This result is in direct
contradiction to most of the observed relationships for both experimental animal
bioassays and human epidemiologic studies.
The true shape of the dose-response relationship at high dose levels may
be different from the true shape at low dose levels due to different carcino-
genic mechanisms, absorption rates, etc. For example, the elimination of a car-
cinogen from the body may be much more efficient at low doses than at high doses,
resulting in a virtual threshold. On the other hand, low exposures may be
dose-additive with other carcinogens of much greater magnitude. In this case,
the added risk due to coke oven emissions at low doses would be linear regard-
less of the shape of the dose-response curve at high doses.
To allow for the possibility that the error limits placed upon the
Weibull model underestimate the true potential range of risk, a "multistage"
type model was also considered to be a viable alternative. This model is
discussed in the next section.
184
-------
"Multistage" Type Model--
It is assumed that the increase in the exposure-induced cancer death rate
may be expressed as a third degree polynomial in lag-time-adjusted cumulative
exposure. The results using the Weibull model indicate that a higher degree
polynomial would not be needed. Under this assumption, the exposure-induced
cancer death rate has the form
b2X(I,t)2 + b3X(I,t)3
where bj, b2, and b3 are unknown parameters greater than or equal to zero to be
estimated from the data. These parameters are estimated in the same manner
as in the "Weibull" case by equating the estimated increased exposure-induced
cancer rates to the right side of the previous equation.
The upper-bound risk associated with this model is obtained in a manner
analogous to the approach used by the Carcinogenic Assessment Group (CAG) to
obtain the upper bounds on risk using the multistage model and animal bioassay
data. The rationale for using that approach is given in the EPA Water Quality
Criteria Document (U.S. EPA 1980o), and the mathematical derivation is found in
Crump (1981).
One of the main advantages to finding the upper bound in this manner is
that it takes into account simultaneously both statistical variability in the
parameter estimates and variability resulting from the lack of knowledge of the
true functional form of the dose-response relationship. This approach assumes
that low-dose linearity is a viable possibility and that it is also a reasonable
upper bound on the dose-response in the unobservable range. Using this approach,
the polynomial with the largest linear term that is not statistically significantly
worse than the best-fitting polynomial is obtained.
185
-------
In Table VII-7, the best-fitting polynomial and the upper-bound polynomial
with the largest linear term are shown for each of the four lag-time adjustments.
TABLE VII-7. THE MAXIMUM LIKELIHOOD ESTIMATES OF THE PARAMETERS
IN THE MULTISTAGE MODEL AND THE 95% UPPER BOUND POLYNOMIAL
FOR EACH I-YEAR LAG-TIME ASSUMPTION
Lag-time
I
0
5
10
15
*m.l .e.
Model*
m.l .e.
95% u.b.
m.l .e.
95% u.b.
m.l .e.
95% u.b.
m.l .e.
95% u.b.
= maximum 1 i
bl
2.00xlO-6
0
3.25X10-6
3.00x10-6
7.04x10-6
6.46X10-6
1.30X10-5
kely estimate;
b2
. 4.90X10-9
0
1.22X10-8
0
l.OSxlO-8
0
1.83xlO-8
0
u.b. = upper
b3
4.96X10-12
7.33X10'12
l.SlxlO-12
l.llxlO-11
7.41X10-12
1.24X10-11
0
9.24xlO-12
bound.
The next section discusses the method by which the exposure-induced cancer
rate function r(t) is transformed into an expression relating the lifetime cancer
risk due to a lifetime constant exposure in ug/m3.
ESTIMATION OF LIFETIME CANCER RISK DUE TO A CONSTANT LIFETIME EXPOSURE
The exposure units used in the derivation of the induced cancer death rate
function r(t) were in mg/m3 x months over the working day. The first step in
deriving the lifetime rate is to transform ug/m3 of continuous exposure into
exposure units equivalent to those used in the epidemiologic study. This may
be done by multiplying exposure rate x in ug/m3 by a constant C where
186
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c =
= 10-3 x 12 x 24 x 365 = 0>Q5475
240
is the cumulative exposure in mg/m3 x months one would obtain in a year by
working 8 hours/day, 240 days/year in an area containing 1 ug/fa3 of the agent
in the air. This is equivalent to the same cumulative exposure that would be
experienced in an area containing 1 ug/m3 of the agent in the air continuously
for a year.
Under the assumption of a constant exposure at level x ug/m3, the exposure
rate function x(s) is
x(s) = Cx o< sO
and the I-year lag-time-adjusted exposure is
t-I
X(I,t) = / Cxds = Cx(t-I).
o
Thus the induced cancer death rate functions r(t) due to a continuous ex-
posure rate of x ug/m3 may be obtained by substituting the equivalent term for
X(I,t) into the cancer rate equations. This gives the results
r(t) =
0
A [Cx(t-I)]
m
for the Wei bull-type model, and
3°
p(t) = Z bj[Cx(t-I)]J t> I
for the multistage-type model.
187
-------
Given the exposure-induced cancer death rate function r(t), the lifetime
risk may be calculated directly using the methods described by Chiang (1968)
and Gail (1975). To do so, it is necessary to specify the total age-specific
death rate function in the absence of exposure. This function is denoted as
h(t).
The lifetime risk is calculated by obtaining the risks of dying of cancer
caused by the exposure at each instant in time and summing them over all possible
times. The probability of dying of exposure-induced cancer at time t is the
probability of living until time t times the exposure-induced cancer death rate
function at time t. The total death rate from all causes at time s is
r(s) + h(s). Thus, by definition the probability of surviving until
time t, S(t), is
S(t) = e o
[r(s)+h(s)]ds
The probability of death due to exposure-induced cancer at time t, P(t), is
P(t) = r(t)S(t)
and the lifetime probability of death due to exposure-induced cancer is
oo -f [r(s)+h(s)]ds
P = / P(t)dt = / r(t)e o
o o
The lifetime risk is calculated using this relationship for both the Wei bull
and the multistage models and their statistical bounds, assuming a constant
exposure of 1 ug/m^.
Two assumptions are used concerning the total age-specific death rate h(t).
The first is that the total age-specific death rate is the same as the total age-
188
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specific death rate for nonwhite males. The resulting risk is interpreted to
be for black males, and the assumption is made that it would be equivalent for
every other member of the population. The second assumption is that h(t) is
the same as for the total population. This implies that the exposure-induced
cancer death rate for black males is the same as for all other members of the
general population. The resulting risk under this assumption is the average
for a member of the general population. The data used to calculate these risks
are the 1978 vital statistics for the United States, which are the most recent
available. The results of these calculations are shown in Tables VII-8 and
VII-9.
TABLE VII-8. LIFETIME PROBABILITY OF RESPIRATORY CANCER DEATH
DUE TO A CONTINUOUS EXPOSURE TO 1 ug/m3 OF COKE OVEN EMISSIONS
UNDER VARIOUS FORMS OF THE WEIBULL-TYPE MODEL
WITH APPROXIMATE 95% CONFIDENCE INTERVAL
Lag Time Total Death Rate
I h(t)
NWM*
0
TOTAL
NWM
5
TOTAL
NWM
10
TOTAL
NWM
15
TOTAL
Risk Due
95% l.b.
1.30x10-8
1.64xlO-8
1.49X10-7
1.99X10-7
6.52x10-7
8.18x10-7
2.00xlO-5
2.65xlO-5
to l ug/m3
Exposure*
m.l ,e.
4.17x10-7
5.47x10-7
2.69x10-6
3.53xlO-6
1.59xlO-5
1.78x10-5
1.52x10-4
1.97xlO-4
Continuous
95% u.b.
8.21x10-6
1.05x10-5
1.63x10-5
2.09x10-5
6.31x10-4
8.41x10-4
8.28x10-4
1. 05xlO-3
.
= nonwhite male.
189
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TABLE VII-9 LIFETIME PROBABILITY OF RESPIRATORY CANCER DEATH
DUE TO A CONTINUOUS EXPOSURE TO 1 ug/m3 OF COKE OVEN EMISSIONS
UNDER VARIOUS FORMS OF THE MULTISTAGE TYPE MODEL
WITH APPROXIMATE 95% CONFIDENCE INTERVAL
Lag Time
I
0
5
10
15
Total Death Rate
h(t)
NWM+
TOTAL
NWM
TOTAL
NWM
TOTAL
NWM .
TOTAL
Risk Due to 1 ug/m3 Continuous
Exposure*
m.l.e. 95%
1.76xlO-6
2.28X10-6
3.57xlO-6
4.67xlO-6
2.81x10-4
3.54X10-4
4.89x10-4
6.29xlO-4
upper bound
2.57x10-4
3.14xlO-4
3.60x10-4
4.45x10-4
6.54x10-4
8.22x10-4
9.76x10-4
1.26xlO-3
1"NMW = nonwhite male.
COMPOSITE UNIT RISK ESTIMATE
In Tables VII-8 and VII-9, a variety of unit risk estimates are presented
which have been obtained under different models and assumptions. If it is felt
necessary to obtain a single composite estimate of risk to represent the maximum
plausible upper bound, the CA6 recommends using the linear upper-bound estimates
of the multistage model. If low-dose linearity exists, which is plausible, the
other models would underestimate risk. The total background U.S. death rate
is used instead of the nonwhite male rate. The rationale for this is that the
nonwhite male rate gives lower estimates because individuals in this group do
not live as long on the average, and thus are not as likely to die of cancer.
190
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If it is not known which of the lag-times is most representative of reality,
it is assumed that they are all equally valid, and the geometric mean of the
four different lag-time estimates is used.
Using this approach, the composite estimate is calculated to be
P =sfj/(3.14 x 4~45 x~8.22 x 12.6) x 10~4 = 6.17 x 10"4.
An alternative approach would be to use the maximum unit risk estimate that
is consistent with the data. This can be obtained by means of the upper-bound
multistage model, with a 15-year lag-time calculated on the basis of the total
1978 U.S. death rate. The result would be slightly less than twice the previous
estimate, or 1.26 x 10-3.
FACTORS THAT HAVE THE POTENTIAL FOR BIASING THE CALCULATED ,ESTIMATED RISKS
The risk calculations in the previous section were made under the implicit
assumption that the results were not influenced by additional factors. However,
many factors undoubtedly did influence the results. Unfortunately, not enough
specific information is available about these factors to make it possible to
quantify their influence or even to predict the direction such influence.would
take. These factors were therefore ignored for the purpose of quantification.
The more important potentially biasing factors are, however, discussed in this
section in order to provide a subjective feeling for the uncertainties associated
with the calculated risks and their confidence bounds.
The reliability of the exposure estimates made for the members of the Lloyd-
Redmond cohort are unknown. These estimates were made in the 1960s in typical
but not identical steel mills not included in the study, and were extrapolated
into the past as far as 60 years.
191
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The LIoyd-Redmond cohort is cross-sectional in nature in that for an
individual to be a member, he or she had to be employed during the 1951 to
1953 period regardless of age or length of employment.
The effect of smoking has not been adjusted for due to the unavailability
of sufficiently detailed data.
The population used to estimate lifetime risk in this analysis consisted of
black males working in physically demanding jobs in which they were exposed to
coke oven emissions over part of their working lifetimes. The population at
risk due to environmental exposures contains individuals of all sex-race combina-
tions and levels of health, exposed from birth to death. This raises the
possibility of biases due to susceptible subgroups, such as infants or those
with respiratory diseases.
The data presented by Mazumdar et al. (1975) suggest that nonwhites and
whites differ in their lung cancer mortality responses for different coke oven
emissions exposures. At the lowest dose (199 mg/m^-months), the whites have a
significantly higher lung cancer mortality rate than do nonwhites. At the
highest dose (>700 mg/m3-months), the opposite is true, since nonwhites have a
significantly (P<0.05) greater lung cancer mortality rate than do whites. There
is no statistical difference between the white and nonwhite rates at the two
intermediate doses, 200-499 mg/m3-months and 500-699 mg/m3-months.
The difference in lung cancer mortality rates between whites and nonwhites
at the highest exposure category may be a reflection of the open-ended nature
of this category. Within the 700+ category, Mazumdar et al. (1975) reported
that 29 nonwhite and only 2 white workers were exposed to levels greater than
or equal to 1200 mg/m^-months of coal tar pitch volatiles, which is the
highest exposure level reported. Obviously, even if most of the nonwhite
lung cancer deaths had occurred in the 1200+ exposure category, it is
; 192
-------
unlikely that there would have been a significant difference between the white
and nonwhite lung cancer mortality rates, since there were only two whites in
this category. Unfortunately, data on the lung cancer mortality rate at the
1200+ mg/m3-months exposure was not reported by Mazumdar et al. Land (1976),
however, in Table VII-4, presents data on the nonwhite lung cancer mortality
at the exposure of > 750+ mg/m3-months, which is identical to Mazumdar's 900+
category. A comparison of the white and nonwhite rates at this exposure level
reveals 0/22 respiratory cancer deaths for whites and 18/144 for nonwhites.
The difference is not statistically significant at the P < 0.05 level, even
though exposure for nonwhites is greater than for whites within the 900+ group.
As a result, there is not much evidence at this time that convincingly argues
that a real sensitivity difference exists between whites and nonwhites.
The preferable way of evaluating whether a white/nonwhite sensitivity
difference exists would be to obtain the expected number of cases in the white
population based on the nonwhite model. Ideally, the best data to use for this
purpose would be data on the vital status and exposure of each individual in the
coke oven study. Unfortunately, this data is not currently available.
This analysis has been restricted to the case of cumulative exposure with
a step-function lag-time adjustment because of the nature of the data currently
available. If more data were available, other models using exposure rate or
intensity and accounting for lag time differently might have provided more
realistic results.
SUMMARY
Several models have been used to relate cumulative lag-time-adjusted
exposure from coke oven emissions to observed increases in the human respiratory
cancer death rate. The parameters in the models were estimated using approxi-
193
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mate exposure variables and mortality data generated by Lloyd, Redmond, and
Mazumdar, and reworked by Land. The resulting explicit models were in turn
used to estimate the lifetime respiratory cancer death risk from a continuous
exposure to 1 ug/m3 of coal tar pitch volatiles from coke oven emissions.
Using the Weibull model, these estimates ranged from 1.30 x 10"8 for the
95% lower-bound, zero lag-time, and the nonwhite male background death rate
assumption, to 1.05 x 10-3 for the 95% upper-bound, 15-year lag-time, and
total background death rate assumption. However, these limits do not allow
for the possibility that the Weibull model does not describe the true dose-
response relationship at low exposure levels. As a result, even this range of
5 orders of magnitude does not fully describe the uncertainty associated with
the point estimate.
To allow for possible model differences, the multistage model is also
employed to estimate risk. This model has the advantage of simultaneously taking
into account both parameter estimates and model difference variability. The 95%
upper limit of this model is based upon finding a polynomial with the largest
linear term that is still consistent with the observed data. Using this model,
point estimates were obtained for the lifetime risk due to a constant 1 ug/m3
exposure ranging from 1.76 x 10~6 for the zero lag-time case to 6.29 x 10~4
for the 15-year lag-time case. The 95% upper bounds corresponding to these
extremes range from 2.57 x 10-4 to 1.26 x 1Q-3. The geometric mean of the 95%
upper bounds for the four lag times is calculated to be 6.17 x 10~4, which is
taken to be the composite unit risk estimate.
It must also be kept in mind that a host of additional uncertainties exists
concerning these estimates. The effects of age, sex, race, general health, and
cigarette smoking on the sensitivity of responses to coke oven emissions are
194
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unknown. The way in which the data were collected and summarized by the
researchers could also introduce additional biases and uncertainties. However,
because of the unavailability of sufficient data to correct for these factors,
the impact of these factors cannot be addressed in this assessment.
195
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VIII. REFERENCES
Andrews, L.S., B.R. Sonawane, and S.J. Yaffe. 1976. Characterization and
induction of aryl hydrocarbon [benzo(a)pyrene] hydroxylase in rabbit bone
marrow. Res. Commun. Chem. Pathol. Pharmacol. 15(2):319-339.
Autrup, H., C.C. Harris, G.D. Stoner, J.K. Selkirk, P.W. Schaefer, and B.F.
Trump. 1978. Metabolism of [3H]benzo[a]pyrene by cultured human bronchus
and cultured human pulmonary alveolar macrophages. Lab. Invest. 38(3):
217-224.
Bast, R.C., Jr., T. Okuda, E. Poltkin, R. Tarone, H.J. Rapp, and H.V. Gelboin.
1976. Development of an assay for aryl hydrocarbon [benzo(a)pyrenej
hydroxylase in human peripheral blood monocytes. Cancer Res. 36:1967-1974.
Bend, J.R., Z. Ben-Zvi, J. Van Anda, P.M. Dansette, and D.M. Jerina. 1976.
Hepatic and extrahepatic glutathione S-transferase activity toward several
arene oxides and epoxides in the rat. In: Polynuclear aromatic
hydrocarbons: Chemistry, metabolism, and carcinogenesis, Vol. 1.
Freudenthal, R.I., and P.W. Jones, eds. New York: Raven Press, pp. 63-75.
Bjorseth, A., 0. Bjorseth, and P.E. Fjeldstad. 1978. Polycyclic aromatic
hydrocarbons in the work atmosphere. II. Determination in a coke plant.
Scand. J. Work Environ. Health 4:224-236.
Bonser, Georgiana M., and M.D. Manch. 1932. Tumors of the skin produced- by
blast-furnace tar. Lancet 1:775-776.
Booth, J., G.R. Keysall, K. Pal, and P. Sims. 1974. The metabolism of
polycyclic hydrocarbons by cultured human lymphocytes. FEBS Lett. 43:341.
Boyland, E., and P. Sims. 1967. The carcinogenic activities in mice of
compounds related to benz[a]anthracene. Int. J. Cancer 2:500-504.
Breslow, N. 1977. Some statistical models useful in the study of occupational
mortality. In: Environmental Health quantitative methods. Whittemore, A.S.,
ed. Philadelphia: Society for Industrial and Applied Mathematics,
pp. 88-103.
Brookes, P. 1977. Mutagenicity of polycyclic aromatic hydrocarbons. Mutat.
Res. 39:257-284.
Carcinogen Assessment Group (CAG). U.S. Environmental Protection Agency.
1980a. The Carcinogen Assessment Group's Carcinogenic Assessment of
Toluene. External Review copy. June 27, 1980. Unpublished.
Carcinogen Assessment Group (CAG). U.S. Environmental Protection Agency.
1980b. The Carcinogen Assessment Group's List of Carcinogens. July 14,
1980. Unpublished.
Casto, B.C., 6.6. Hatch, S.L. Huang, J.L. Huisingh, S. Nesnow, .and M.D. Waters.
1979. Mutagenic and carcinogenic potency of extracts of diesel and related
environmental emissions: jn vitro mutagenesis and oncogenic
transformation. EPA International Symposium on the Health Effects of
Diesel Engine Emissions. Cincinnati, Ohio. pp. 843-859.
196
-------
Casto, B.C., G.G. Hatch, and S.L. Huang. 1980. Confirmatory
mutagenesis/carcinogenesis in vitro bioassay of mobile source emissions and
comparative samples. Report prepared by Northrop Services Inc., Research
Triangle Park, NC for the U.S. Environmental Protection Agency's Health
Effects Research Laboratory, Research Triangle Park, NC. EPA Contract No.
68-02-2566.
Chiang, C.L. 1968. Introduction to stochastic processes in biostatistics.
New York: John Wiley.
Chuang, A.H.L., E.F. Howard, and E. Bresnick. 1977. Aryl hydrocarbon
hydroxylase in mouse mammary gland: jn vitro study using mammary cell
lines. Chem. Biol. Interact. 17:9-16.
Claxton, L.D. 1979a. Data sheets on "Coke oven (ambient)." Sample ID.
GTPX-79-0003 Lab NSNC, Strain TA 98. Unpublished. (April 19).
Claxton, L.D. 1979b. Mutagenic and carcinogenic potency of diesel and related
environmental emissions: Salmonella bioassay. Paper presented at the EPA
International Symposium on the Health Effects of Diesel Engine Emissions.
Cincinnati, Ohio. (December)i
Claxton, L., and J. Lewtas. 1981. Data supplied by Office of Research and
Development Health Effects Research Laboratory by Godlen Lewtas Huisingh.
Unpublished.
Cohen, M.R. 1931. Reason and nature: An essay on the meaning of scientific
method. London: The Free Press of Glencoe, Collier-Macmillan Ltd.
(paperback edition 1964).
Conn, J.A., A.P. Alvares, and A. Koppas. 1977. On the occurrence of cytochrome
P-450 and aryl hydrocarbon hydroxylase activity in rat brain. J. Exp.
Med. 145:1607-1611.
Ceilings, P.L. 1978. Coke workers' mortality: a nine year follow-up in the
British steel industry. Report prepared by the Statistics Branch, Institute
of Occupational Medicine, Edinburgh, Scotland, for the European Coal and
Steel Community and the British Steel Corporation. Report No. TM/78/1.
Unpublished.
Conney, A.H. 1967. Pharmacological implications of microsomal enzyme
induction. Pharmacol. Rev. 19:317.
Conney, A.H., J. Kapitulnik, W. Levin, P. Dansette, and D. Jerina. 1976. Use
of drugs in the evaluation of carcinogen metabolism in man. In: Screening
tests in chemical carcinogenesis. Montesano, R., and L. Tomatis, eds.
Lyon, France: IARC, IARC Publ. No. 12, pp. 319-336.
Conney, A.H., E.J. Pantuck, K.C. Hsiao, A.P. Alvares, and A. Kappas. 1977.
Regulation of drug metabolism in man by environmental chemicals and diet.
Fed. Proc. 36(5):1647-1652.
197
-------
Coy, D.W., C.C. Allen, and B.H. Carpenter. 1980. Preliminary environmental
assessment on formcoke cokemaking process. Prepared by Research Triangle
Institute, Research Triangle Park, N.C. for Industrial Environmental
Research Laboratory, U.S. Environmental Protection Agency. Contract No.
68-02-3170, Task 17, June 1980.
Crump, K.S. 1981. An improved procedure for low dose carcinogenic risk
assessment from animal data. J. Environ. Path. Toxicol. 5(2):675-684.
Curren, R.D., R.E. Kouri, C.M. Ki.m, and L.M. Schechtman. 1979. Mutagenic and
carcinogenic potency of extracts from diesel related environmental
emissions: Simultaneous morphological transformation and mutagenesis in
BALB/c 3T3 cells. Paper presented at the EPA International Symposium on the
Health Effects of Diesel Engine Emissions. Cincinnati, Ohio. December
1979. pp. 861-872.
navies, G.M. 1977. A mortality study of coke oven workers in two South Wales
integrated steelworks. Br. J. Ind. Med. 34:291-297.
navies, G.M. 1978. Erratum. Br. J. Ind. Med. 35:176.
Day, N.E., and C.C. Brown. 1980. Multistage models and primary prevention of
cancer. J. Natl. Cancer Inst. 64:977-989.
Dent, O.G. 1979. Choice of activating systems for in vitro mutagenesis assays.
In: Mammalian cell mutagenesis: the maturation of test systems. Hsie, A.W.,
J.P. O'Neill, V.K. McElheny, eds. Cold Spring Harbor Conference.
noherty, J.D., and J.A. Decarlo. 1967. Coking practice in the United States
compared with some western European practices. Blast Furnace and Steel
Plant. February 1967. pp. 141-152.
noil, R., R.E.W. Fisher, E.J. Gammon, W. Gunn, G.O. Hughes, F.H. Tyrer, and W.
Wilson. 1965. Mortality of gasworkers with special reference to cancers of
the lung and bladder, chronic bronchitis, and pneumoconiosis. Br. J. Ind.
Med. 22:1-12.
Driesbach, R.H. 1977. Handbook of poisoning. Ninth Edition. Los Altos,
CA: Lange Medical Publications.
Epler, J.L., W. Winton, T. Ho, F.W. Larimer, T.K. Rao, A.A. Hardigree. 1977.
Comparative mutagenesis of quinolines. Mutat. Res. 39:285-296.
Epler, J.L., T.K. Rao, and M.R. Guerin. 1979. Evaluation of feasibility of
mutagenic testing of shale oil products and effluents. Environ. Health
Perspect. 30:179-184.
Epler, J.L., W. Winton, A.A. Hardigree, and F.W. Larimer. 1980. The
appropriate use of genetic toxicology in industry. In: The scientific basis
of toxicity assessment. Witschi H., ed. Elsevier/North-Holland Biomedical
Press.
Fannick, N., L.T. Gonshor, and J. Shockley, Jr. 1972. Exposure to coal tar
pitch volatiles at coke ovens. Am. Ind. Hyg. Assoc. J. 33:461-468.
198
-------
Fox, A.J., and P.F. Collier. 1976. Low mortality rates in industrial cohort
studies due to selection for work and survival in the industry. Br. J.
Prev. Soc. Med. 30:225-230.
Freudenthal, R.I., S.G. Hundley, and S.M. Cottaneo. 1978. A comparison of the
metabolites of benzo[a]pyrene by lung mixed function oxidase from rat,
rhesus, and humans. In: Polynuclear aromatic hydrocarbons: Carcinogenesis,
Vol. 3. Freudenthal, R.I., and P.W. Jones, eds. New York: Raven Press.
Gail, M. 1975. Measuring the benefit of reduced exposure to environmental
carcinogens. J. Chronic Dis. 28:135-147.
Gelboin, H.V., N. Kinoshita, and F.J. Wiebel. 1972. Microsomal hydroxylase:
studies on the mechanism of induction and their role in polycyclic
hydrocarbon action. In: Collection of papers presented at the Annual
Symposium on Fundamental Cancer Research, Series 24. pp. 211-224.
Gibb, H. 1978a. Phone conversation of April 25, 1978 with J.D. MacEwen
(University of California) on test results of monkeys and rabbits in MacEwen
et al. study.
Gibb, H. 1978b. Phone conversation of May 8, 1978 with David Groth
(NIOSH-Cincinnati) on test results of rabbits and monkeys from MacEwen
(1976) study.
Gibb, H. 1981. Phone conversation of July 28, 1981 with William Wagoner
(NIOSH-Cincinnati) on disposition of monkeys from MacEwen et al. (1976)
study.
Goldstein, E., F. Goldstein, N.F. Peek, and N.J. Parker. 1980. Absorption and
transport of nitrogen oxides. In: Nitrogen oxides and their effects on
health. S.D. Lee, ed. Ann Arbor: Ann Arbor Science Publishers, Inc.
Grundin, R., S. Jakobsson, and D.L. Cinti. 1973. Induction of microsomal aryl
hydrocarbon (3,4-benzo[a]pyrene) hydroxylase and cytochrome P-450K in rat
cortex. I. Characteristics of the hydroxylase system. Arch. Biochem.
Biophys. 158(2):544-555.
Hass, B.S., E.E. Brooks, K.E. Schumann, and S.S. Dornfeld. 1981. Synergistic,
additive, and antagonistic mutagenic responses to binary mixtures of
benzo[a]pyrene and benzo[e]pyrene as detected by strains TA98 and TA100 in
the Salmonella/microsome assay. Environ. Mut. 3:159-166.
Hoffman, D., I. Schmeltz, S.S. Hecht, and E.L. Wynder. 1978. Tobacco
carcinogenesis. In: Polycyclic hydrocarbons and cancer. Gelboin, H.V.,
and P. Ts'o, eds. New York: Academic Press, pp. 85-114.
Hogan, W.T., and F.T. Koelble, Industrial Economics Research Institute, Fordham
Univ. 1979. Analysis of the U.S. metallurgical coke industry. Prepared
for U.S. Dept. of Commerce, Economic Development Administration, and Lehigh
Univ. EDA Project No. 99-26-09886-10.
Hollstein, M., J. McCann, F.A. Angelosanto, and W.W. Nichols. 1979. Short-term
tests for carcinogens and mutagens. Mutat. Res. 65(3):133.
199
-------
Morton, W.A. 1961. An investigation of the carcinogenic properties of various
coal tars of commercial fractions thereof. Report of the Kettering
Laboratory, Department of Preventive Medicine and Industrial Health.
Cincinnati: University of Cincinnati, 32 pp.
Morton, A.W., R. Tye, and K.L. Stemmer. 1963. Experimental carcinogenesis of
the lung. Inhalation of gaseous formaldehyde or an aerosol of coal tar by
C3H mice. J. Nat!. Cancer Inst. 30(l):31-43.
Hueper, W., and W.W. Payne. 1960. Carcinogenic studies on petroleum asphalt,
cooling oil, and tar. Archives of Pathology 70:372-384.
Huisingh, J. (Lewtas). 1981. Memo of October 27, 1981 to Mr. Herman Gibb,
Carcingen Assessment Group, entitled "Review of the Carcinogen Assessment of
Coke Ovens Draft Document." Unpublished.
Huisingh, J.L., R.L. Bradow, R.H. Jungers, B.D. Harris, R.B. Zweidinger, K.M.
Cushing, D.E. Gill, and R.E. Albert. 1979. Mutagenic and carcinogenic
potency of extracts of diesel and related environmental emissions: Study
design, sample generation, collection, and preparation. Paper presented at
the EPA International Symposium on the Health Effects of Diesel Engine
Emissions. Cincinnati, Ohio. December 1979.
IARC (International Agency for Research on Cancer). 1973. IARC Monographs on
the Evaluation of the Carcinogenic Risk of Chemicals to Humans. Vol. 2.
Some inorganic and organometallic compounds. Lyon, France.
IARC (International Agency for Research on Cancer). 1974. IARC Monographs on
the Evaluation of the Carcinogenic Risk of Chemicals to Humans. Vol. 4.
Some aromatic amines, hydrazine, and related substances, n-nitroso
compounds, and miscellaneous alkylating agents. Lyon, France.
IARC (International Agency for Research on Cancer). 1976. IARC Monographs on
the Evaluation of the Carcinogenic Risk of Chemicals to Humans. Vol.
11. Cadmium, nickel, some epoxides, miscellaneous industrial chemicals, and
general considerations on volatile anaesthetics. Lyon, France.
IARC (International Agency for Research on Cancer). 1979. IARC Monographs on
tne Evaluation of the Carcinogenic Risk of Chemicals to Humans. Chemicals
and industrial processes associated with cancer in humans. IARC Monographs
Supplement 1, 1979. Lyon, France.
Oerina, D.M., and J.W. Daly. 1974. Arene oxides: A new aspect of drug
metabolism. Science 185(4151):573-582.
Jerina, D.M., R.E. Lehr, H. Yani, 0. Hernandez, P.M. Dansette, P.G. Wislocki,
A.W. Wood, R.L. Change, W. Levin, and A.H. Conney. 1976. Mutagenicity of
benzo[a]pyrene derivatives and the description of a quantum mechanical model
which predicts the ease, of carbonium ion formation from diol epoxides. jn
vitro metabolic activation in mutagenesis testing, de Serres, F.J.,
J.R. Fouts, J.R. Bend, and R.M. Philpot, eds. Amsterdam:
Elsevier/North-Holland Biomedical Press, pp. 159-177.
200
-------
Jerina, D.M., R. Lehr, M. Schaefer-Ridder, H. Yagi, J.M. Karle, D.R. Thakker,
A.M. Wood, A.Y.H. Leu, D. Ryan, S. West, W. Levin, and A.H. Conney. 1977.
Bay-region epoxides of dihydrodiols: A concept explaining the mutagenic and
carcinogenic activity of benzo[a]pyrene and benzo[a]anthracene. In:
Origins of human cancer. Book B. Mechanisms of carcinogenesis. Volume 4.
Hiatt, H.H., J.n. Watson, and J.A. Winsten, eds. Cold Spring Harbor
Laboratory, pp. 639-658.
Jerina, D.M., J.M. Sayer, D.R. Thakker, H. Yagi, W. Levin, A.W. Wood, and A.H.
Conney. 1980. Carcinogenicity of polycyclic aromatic hydrocarbons: The
bay-region theory. In: Carcinogenesis: Fundamental mechanisms and
environmental effects. B. Pullman, P.O.P. Ts'o, and H. Gelboin, eds.
Boston: D. Reidel Publishing Company, pp. 1-12.
Jungers, R., R. Burton, L. Claxton, and J. Lewtas Huising. 1980. Evaluation of
collection and extraction methods for mutagenesis studies on ambient air
particulate. In: Short-term bioassays in analysis of complex
environmental mixtures. Waters, M.D., S.S. Sandhu, J. Lewtas Huisingh, L.
Claxton, and S. Newnow. New York: Plenum Press.
Kaden, D.A., R.A. Hites, and W.6. Thelly. 1979. Mutagenicity of soot and
associated polycyclic aromatic hydrocarbons of Salmonella typhimurium.
Cancer Res. 39:4152-4159.
Kapitulnik, J., W. Levin, A.H. Conney, H. Yagi, and D.M. Jerina. 1977.
Benzo[a]pyrene 7,8-dihydrodiol is more carcinogenic than benzo[a]pyrene in
newborn mice. Nature 266:378-380.
Kapitulnik, J., P.G. Wislocki, W. Levin, H. Yagi, D.R. Thakker, H. Akagi, M.
Koreeda, D.M. Jerina, and A.H. Conney. 1978a. Marked differences in the
carcinogenic activity of optically pure (+)- and (-)-trans-7,8-dihydroxy-
7,8-dihydrobenzo[a]pyrene in newborn mice. Cancer Res. 38:2661-2665.
Kapitulnik, J., P.G. Wislocki, W. Levin, H. Yagi, D.M. Jerina, and A.H. Conney.
1978b. Tumorigenicity studies with diol-epoxides of benzo[a]pyrene which
indicate that (+)-trans-7b-8a-dihydroxy-9alOa-epoxy-7,8,9,10-tetrahydro-
benzo[a]pyrene is an ultimate carcinogen in newborn mice. Cancer Res.
38:354-358.
Kawai, M., H. Amamoto, and K. Harada. 1967. Epidemiologic study of
occupational lung cancer. Arch. Environ. Health 14:859-864.
Kew, Gregory, EPA. 1981. Memo of August 12, 1981 to Vicki Vaughan-Dellarco,
EPA on a report entitled "Support of a study to evaluate the effect of
ozone generated by a masssive volume sampler on the mutagenic activity to
samples collected for bioassay." Unpublished.
Kimball, R.F., and N.B. Munro. 1981. A critical review of the mutagenic and
other genotoxic effects of direct coal liquefaction. Oak Ridge National
Laboratory, Oak Ridge, Tennessee. Contract No. W-7405-eng-26. July 1981.
Kimura, T., M. Kodama, and C. Nagata. 1977. Difference in benzo[a]pyrene
metabolism between lung and liver homogenates. Biochem. Pharmacol.
26:671-674.
201
-------
Kinkead, E.R. 1973. Toxicity of coal tar aerosol. In: Proceedings of the
Fourth Annual Conference of Environmental Toxicology, October 16-18,
Fairburn, pp. 177-188.
Land, C.E. 1976. Presentation at OSHA hearings on coke oven standards.
Lao, R.C., R.S. Thomas, and J.L. Minkima. 1975. Computerized gas
chromatography mass spectrometric analysis of polycyclic samples. J.
Chromatogr. 112:681-700.
Leber, P., G. Kerchner, and R.I. Freudenthal. 1976. A comparison of
benzo[a]pyrene metabolism by primates, rats, and miniature swine.
In: Carcinogenesis, Vol. 1: Polynuclear aromatic hydrocarbons: Chemistry,
metabolism, and carcinogenesis. Freudenthal, R.I., and P.W. Jones, eds.
New York: Raven Press, pp. 35-43.
Lehr, R.E., H. Yagi, D.R. Thakker, W. Levin, A.W. Wood, A.H. Conney, and D.M.
Jerina. 1978. The bay region theory of polycyclic aromatic
hydrocarbon-induced carcinogenicity. In: Carcinogenesis, Vol. 3:
Polynuclear aromatic hydrocarbons. Freudenthal, R.I., and P.W. Jones,
eds. New York: Raven Press, pp. 231-241.
Levin, W., A.W. Wood, H. Yagi, P.L.M. Dansette, D.M. Jerina, and A.H. Conney.
1976. Carcinogenicity of benzo[a]pyrene 4,5-, 7,8-, snf 9,10-oxides on
mouse skin. Proc. Natl. Acad. Sci. USA 73(l):243-247.
Levin, W., A.W. Wood, P.6. Wislocki, J. Kapitulnik, H. Yagi, D.M. Jerina, and
A.H. Conney. 1977. Carcinogenicity of benzo-ring derivatives of
benzo[a]pyrene on mouse skin. Cancer Res. 37:3356-3361.
Lloyd, J.W. 1971. Long-term mortality study of steelworkers.
V. Respiratory cancer in coke plant workers. J. Occup. Med. 13(2):53-68.
Lloyd, J.W. 1974. Study of long-latent disease in industrial populations.
Journal of the Washington Academy of Science 64(2):135-144.
Lloyd, J.W., and A. Ciocco. 1969. Long-term mortality study of
steelworkers. I. Methodology. J. Occup. Med. 11(6):299-310.
Lloyd, J.W., F.E. Lundin, Jr., C.K. Redmond, and P.B. Geiser. 1970.
Long-term mortality study of steelworkers. IV. Mortality by work area.
J. Occup. Med. 12(5):151-157.
Lu, A.Y.H., W. Levin, P.E. Thomas, D.M. Jerina, and A.H. Conney. 1978.
Enzymological properties of purified liver microsomal cytochrome P-450
system and epoxide hydrase. In: Carcinogenesis, Vol. 3: Polynuclear
aromatic hydrocarbons. Freudenthal, R.I., and P.W. Jones, eds. New York:
Raven Press, pp. 243-252.
MacEwen, J.D., and E.H. Vernot. Toxic Hazards Research Unit Annual
Technical Report: 1972, 1973, 1974, 1975, 1976. Aerospace Medical
Research Laboratory, Wright-Patterson Air Force Base, OH.
202
-------
MacEwen, J.D., A. Hall III, and L.D. Scheel. 1976. Experimental oncogenesis in
rats and mice exposed to coal tar aerosols. Presented before the Seventh
Annual Conference on Environmental Toxicology, Dayton, OH. AMRL Technical
Report No. 76-125. October. 16 pp.
Magee, P.N., R. Montesano, and R. Preussmann. 1976. N-nitroso compounds and
related carcinogens. In: Chemical carcinogens, Monograph 173, Searle, C.E.,
ed. New York: American Society, p. 491.
Mancuso, T.F. 1977. Lung cancer among black migrants. J. Occup. Med.
19(8):531-532.
Mancuso, T.F., and T.D. Sterling. 1974. Relation of place of birth and
migration in cancer mortality in the U.S.—a study of Ohio residents
(1959-1967). J. Chronic Dis. 27:459-474.
Marquardt, H. 1976. Microsomal metabolism of chemical carcinogenesis in
animals and man. In: Screening tests in chemical carcinogenesis.
Montesano, R., and L. Tomatis, eds. International Agency for Research on
Cancer, Lyon, France, IARC Publication No. 12, pp. 309-328.
Mazumdar, S., C. Redmond, W. Sollecito, and N. Sussman. 1975. An
epidemiological study of exposure to coal-tar-pitch volatiles among coke
oven workers. APCA J. 25(4):382-389.
McCann, J., N.E. Spingarn, J. Kabori, and B.N. Ames. 1975a. Detection of
carcinogens as mutagens: Bacterial tester strains within R factor plasmids.
Proc. Nat. Acad. Sci. USA 72:979-983.
McCann, J., E. Choi, E. Yamasaki, and B.N. Ames. 1975b. Detection of
carcinogens as mutagens in the Salmonella/microsome test: Assay of 300
chemicals. Proc. Nat. Acad. Sci. USA 72:5135-5139.
McConnell, E.E., and H.D. Specht. 1973. Lesions found in animals exposed to
coal tar aerosols. In: Proceedings of the Fourth Annual Conference on
Environmental Toxicology, October 16-18, Fairburn, OH., paper No. 14, pp.
189-198.
Mitchell, A.D. 1981. Data supplied by Jo Ellen Lewtas, Office of Research and
Development, Health Effects Research Laboratory, Research Triangle Park,
NC. Unpublished.
Mitchell, A.D., E.L. Evans, M.M. Jotz, E.S. Riccio, K.E. Mortelmans, and V.F.
Simmon. 1979. Mutagenic and carcinogenic potency of extracts of diesel and
related environmental emissions: In vitro mutagenesis and DNA damage.
Paper presented at the EPA International Symposium on the Health Effects of
Diesel Emissions. Cincinnati, OH. December 1979.
Moller, M., and E. Dybing. 1980. Mutagenicity studies with urine concentrates
from coke plant workers. Scand. J. Work. Environ. Health 6:216-220.
203
-------
Mortelmans, K.E., E.S. Riccio, and W. Tanaka. 1980. In vitro microbiological
mutagenicity assays of 2-nitro flourene, benzo[a]pyrene, and diesel samples
preincubation assay. Prepared by Stanford Research Institute, Palo Alto,
California for the U.S. Environmental Protection Agency, Research Triangle
Park, NC. EPA Contract No. 68-02-1947. Unpublished.
National Research Council. 1981. Aromatic amines: An assessment of the
biological and environmental effects. Committee on Amines. Board on
Toxicology and Environmental Health Hazards. Assembly of Life Sciences.
National Research Council. Washington, D.C.: National Academy Press.
Nebert, D.W., and J.S. Felton. 1976. Importance of genetic factors influencing
the metabolism of foreign compounds. Fed. Proc. 35:1133-1141.
Nesnow, S. 1980. Report on skin tumorigenesis studies of diesel emissions
and related samples on C57 black mice. Unpublished.
Nesnow, S., L. Evans, A. Stead, 0. Creason, T.J. Slaga, and L.L. Triplett.
1981. Skin carcinogenesis studies of emission extracts. In: Toxicological
effects of emissions from diesel engines. Lewtas, J., ed. New York:
Elsevier/North Holland, Inc.
NIOSH (National Institute for Occupational Safety and Health). 1978. Criteria
for a recommended standard...occupational exposure to coal tar products.
DHEW Publication No. (NIOSH) 78-107. U.S. Dept. of Health, Education, and
Welfare, Public Health Service, Center for Disease Control.
OSHA (Occupational Safety and Health Administration). 1976. Final
environmental impact statement. Coke oven emissions. U.S. Dept. of Labor.
August 1976.
Pelkonen, 0. 1976. Metabolism of benzo[a]pyrene in human adult and fetal
tissues. In: Carcinogenesis, Vol. 1: Polynuclear aromatic hydrocarbons:
Chemistry, metabolism, and carcinogenesis. Freudenthal, R.I., and P.W.
Jones, eds. New York: Raven Press, pp. 9-21.
Pelroy, R.A., and M.R. Peterson. 1979. Use of Ames test in evaluation of shale
oil fractions. Environ. Health Perspect. 39:191-203.
Rao, K.I., J.A. Young, A.A. Hardigree, W. Winton, and J.L. Epler. 1978.
Analytical and biological analyses of test materials from the synthetic
fuel technologies. II. Extended genetic and biochemical studies with
mutagenic fractions. Mutat. Res. 54:185-191.
Rao, T. Kameswar, J.A. Young, C.E. Weeks, T.J. Slaga, and J.L. Epler. 1979.
Effect of the co-carcinogen benzo[e]pyrene on microsome-mediated chemical
mutagens in Salmonella typhimurium. Environ. Mut. 1:105-112.
Redmond, C.K. 1976. Epidemiological studies of cancer mortality in coke
plant workers. Presented at the Seventh Annual Conference on Environmental
Toxicology, Dayton, OH. October 13-15.
204
-------
Redmond, C. 1981. Personal communication of October 21, 1981 to Mr. Herman
Gibb, Carcinogen Assessment Group, Office of Research and Development, U.S.
Environmental Protection Agency.
Redmond, C.K., A. Ciocco, J.W. Lloyd, and H.W. Rush. 1972. Long term
mortality study of steelworkers. VI. Mortality from malignant neoplasms
among coke oven workers. J. Occup. Med. 14:621-629.
Redmond, C.K., B.R. Strobino, and R.H. Cypress. 1976. Cancer experience
among coke by-product workers. Ann. N.Y. Acad. Sci. 271:102-115.
Redmond, C., H.S. Wieand, H.E. Rockette, R. Sass, and G. Weinberg. 1979.
Long-term mortality experience of steelworkers. Report prepared by the
University of Pittsburgh Graduate School of Public Health, Pittsburgh,
Pennsylvania, for the National Institute for Occupational Safety and
Health, Division of Surveillance, Hazard Evaluation, and Field Studie
Cincinnati, OH. Contract No. HSM-99-71-32.
les.
Reid, D.D., and C. Buck.
Med. 13:265-269.
1956. Cancer in coking plant workers. Br. J. Ind.
Reznikoff, C.A., D.W. Brankow, and C. Heidelberger. 1973. Establishment and
characterization of a cloned line of C3H mouse embryo cells sensitive to
post-confluence inhibition of cell division. Cancer Res. 33:3231-3238.
Roy, A.B., and P.A. Trudinger. 1970. The metabolism in animals of inorganic
sulphur compounds. In: The biochemistry of inorganic compounds of sulphur.
Great Britain: Cambridge University Press.
Sakabe, Hiroyuki, Kenzaburo Tsuchiya, Nobolru Tahekura, Shigeru Nomura, Shigezi
Koshi, Kazuo Takemoto, Hidetsuru Matsuskita, and Yukio Matsuo. 1975. Lung
cancer among coke oven workers. A Report to Labour Standard Bureau,
Ministry of Labour, Japan. Industrial Health 13:57-68.
Santodonato, J., and P.H. Howard. 1981. Azaarenes: Sources, distribution,
environmental impact, and health effects. Hazard assessment of chemicals:
current developments. Vol. 1. pp. 421-440.
Sasmore, D.P. 1976. Histopathologic evaluation of animal tissues from coal tar
studies (rat, rabbit, hamster, and mouse). Performed under NIOSH Contract
No. 210-75-0050. Unpublished.
Selkirk, O.K., E. Huberman, C. Heidelberger. 1971. An epoxide is an
intermediate in the microsomal metabolism of the chemical carcinogen,
dibenz[a,h]anthracene. Biochem. Biophys. Res. Commun. 43(5):1010-1016.
Selkirk, J.K., R.G. Croy, P.P. Roller, and H.V. Gelboin. 1974. High pressure
liquid chromatographic analysis fo benzo[a]pyrene metabolism and covalent
binding and the mechanism of action of 7,8-benzoflavone and
l,2-epoxy-3,3,3-trichloropropane. Cancer Res. 34:3473-3480.
Selkirk, J.K., R.G. Croy, J.P. Jr. Whitlock, and H.V. Gelboin. 1975. In vitro
metabolism of benzo[a]pyrene by human liver microsomes and lymphocytes.
Cancer Res. 35:3651-3655.
205
-------
Selkirk, O.K., S.K. Yang, and H.V. Gelboin. 1976. Anaylsis of benzo[a]pyrene
metabolism in human liver and lymphocytes and kinetic anaylsis of
benzo[a]pyrene in rat liver microsomes. In: Carcinogenesis, Vol. 1:
Polynuclear aromatic hydrocarbons: Chemistry, metabolism, and
carcinogenesis. Freudenthal, R.I., and P.W. Jones, eds. New York: Raven
Press, pp. 153-169.
Sims, P. 1970. Qualitative and quantitative studies on the metabolism of a
series of polycyclic aromatic hydrocarbons by rat-liver preparations.
Riochem. Pharmacol. 19:795.
Sims, P. 1976. The metabolism of polycyclic hydrocarbons to dihydrodiols and
diol epoxides by human and animal tissues. In: Screening tests in chemical
carcinogenesis. Montesano, R., H. Bartsch, and L. Tomatis, eds. IARC.
Lyon, France. IARC Publication No. 12, pp. 211-224.
Sims, P., and P.L. Grover. 1974. Epoxides in polycyclic aromatic hydrocarbon
metabolism and carcinogenesis. Adv. Cancer Res. 20:165-274.
Stanford Research Institute. 1978. Final report by E.B. Suta (revised May
1979). Human population exposures to coke oven atmospheric emissions.
Stead, A.G., V. Hasselblad, J.P. Creason, and L. Claxton. 1981. Modeling the
Ames test. Mutat. Res. 85:13-27.
Stoming, T.A., W. Bornstein, and E. Bresnick. 1977. The metabolism of
3-methylcholanthrene by rat liver microsomes - A reinvestigation. Biochem.
Biophys. Res. Commun. 79(2):461-469.
Strup, P.E., and A. Bjorseth. 1979. Final report on artifact formation in
Battelle megavolume sampler. Submitted to U.S. Environmental Protection
Agency, Research Triangle Park, NC, under Contract No. 68-02-2454, Task No.
8 (July 18).
Tokiwa, H., Fukuoka Environmental Research Center, Fukuoka 818-01, Japan. 1981.
Letter to Dr. Vicki Vaughan-Dellarco, Reproductive Effects Assessment Group,
U.S. Environmental Protection Agency. Unpublished.
Tokiwa, H., K. Morita, H. Takeyoshi, K. Takahashi, and Y. Ohnishi. 1977.
Detection of mutagenic activity in particular air pollutants. Mutat. Res.
48:237-248.
Thakker, D.R., H. Yagi, H. Akagi, M. Koreeda, A.Y.H. Lu, W. Levin, A.W. Wood,
A.H. Conney, and D.M. Jerina. 1977. Metabolism of benzo[a]pyrene. VI.
Stereoselective metabolism of benzo[a]pyrene and benzo[a]pyrene
7,8-dihydrodiol to diol epoxides. Chem. Biol. Interact. 16:281-300.
Thakker, O.R., W. Levin, A. Stoming, A.H. Conney, and D.M. Jerina. 1978.
Metabolism of 3-methylcholanthrene by rat liver microsomes and a highly
purified monooxygenase system with and without epoxides hydrase. In:
Carcinogenesis, Vol. 3: Polynuclear aromatic hydrocarbons. Freudenthal,
R.I., and P.W. Jones, eds. New York: Raven Press, pp. 253-264.
206
-------
Tye, R., and K.L. Stemmer. 1967. Experimental carcinogenesis ,of the lun-g.
II. Influence of phenols in the production of carcinoma. J. Natl. Cancer
Inst. 39:175-186.
U.S. Department of Health, Education and Welfare. 1977. Vital statistics of
the United States. Vol. II. Mortality, Part A. U.S. Government Printing
Office. 017-022-00549-2.
U.S. EPA (U.S. Environmental Protection Agency). 1977a. Toxicology of metals.
Vol. II. U.S. EPA Report No. EPA-600/1-77-022, May 1977.
U.S. EPA (U.S. Environmental Protection Agency). 1977b. Sampling and analysis^
of coke oven-door emissions. U.S. EPA, Office of Research and Development,
Research Triangle Park, NC. Report No. EPA-600/2-77-213. October 1977.
U.S. EPA (U.S. Environmental Protection Agency). 1978a. An assessment of the
health effects of coke oven emissions. U.S. EPA, Office of Research and
Development, Washington, DC. April 1978.
U.S. EPA (U.S. Environmental Protection Agency). 1978b. Reviews of the
environmental effects of pollutants: III. Chromium. U.S. EPA, Office of
Research and Development. Report No. EPA-600/1-78-023. May 1978.
U.S. EPA (U.S. Environmental Protection Agency). 1978c. An assessment of
health effects of benzene germane to low levels of exposure. U.S. EPA,
Office of Health and Ecological Effects. Report No. EPA-600/1-78-061.
September 1978.
U.S. EPA (U.S. Environmental Protection Agency). 1979. Health assessment
document for polycyclic organic matter. Environmental Criteria and
Assessment Office, Office of Health and Environmental Assessment, Office of
Research and Development, U.S. Environmental Protection Agency, Research
Triangle Park, NC. Report No. EPA 600/9-79-008.
U.S. EPA (U.S. Environmental Protection Agency). 1980a. Health assessment
document for polycyclic organic matter. U.S. EPA, Office of Research and
Development, Washington, DC. External Review Draft No. 2. June 1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980b. Ambient water quality
criteria for benzene. U.S. EPA, Office of Water Regulations and Standards.
Criteria and Standards Divisions. Report No. EPA 440/5-80-018. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980c. Ambient water quality
criteria for phenol. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-066. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980d. (ortho, meta, para)-
Xylene: Hazard Profile. U.S. EPA Environmental Criteria and Assessment
Office. Office of Research and Development. Cincinnati, Ohio. Jan. 31,
1980. Unpublished.
207
-------
U.S. EPA (U.S. Environmental Protection Agency). 1980e. Ambient water quality
criteria for arsenic. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-021. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980f. Ambient water quality
criteria for beryllium. U.S. EPA Office of Water Regulations and.Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-024. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980g. Ambient water quality
criteria for chromium. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-024. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980h. Ambient water
quality criteria for cadmium. U.S. EPA Office of Water Regulations and
Standards. Criteria and Standards Division. Report No. EPA 440/5-80-025.
October 1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980i. Ambient water quality
criteria for nickel. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-060. -October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980J. Ambient water quality
criteria for selenium. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-070. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980k. Ammonia: Hazard
profile. U.S. EPA Environmental Criteria and Assessment Office, Office of
Research and Development, Cincinnati, Ohio. April 15, 1980. Unpublished.
U.S. EPA (U.S. Environmental Protection Agency). 19801. Air quality criteria
for carbon monoxide. U.S. EPA Environmental Criteria and Assessment Office,
Office of Research and Development, Research Triangle Park, NC. External
Review Draft. April 1979.
U.S. EPA (U.S. Environmental Protection Agency). 1980m. Ambient water quality
criteria for cyanides. U.S. EPA Office of Water Regulations and Standards.
Criteria and Standards Division. Report No. EPA 440/5-80-037. October
1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980n. Problem oriented
report: Health assessment of nickel. Environmental Criteria and Assessment
Office, Office of Health and Environmental Assessment, Office of Research
and Development, Research Triangle Park, NC. Internal Review Draft,
December 1980.
U.S. EPA (U.S. Environmental Protection Agency). 1980o. Notice of Water
Quality Criteria Document Availability. Federal Register, Part V
(November 28), 45(231):79316-79379.
208
-------
Van Duuren, B.L., and B.M. Goldschmidt. 1976. Cocarcinogenesis and tumor
promoting agents in tobacco carcinogenesis. J. Natl. Cancer Inst.
56:1237-1242.
Venugopal, B., and T.D. Luckey. 1978. Chemical toxicity of metals and
metalloids. In: Metal toxicity in mammals. New York: Plenum Press.
Wallcave, L., H. Garcia, R. Feldman, W. Lijinsky, and P. Shubik. 1971. Skin
tumorigenesis in mice by petroleum asphalts and coal-tar pitches of known
polynuclear aromatic hydrocarbon content. Toxicol. Appl. Pharmacol.
18:41-52.
Wang, I.Y., R.E. Rasmussen, N.L. Petrakis, and A.C. Wang. 1976. Enzyme
induction and the difference in the metabolite patterns of benzo[ajpyrene
produced by various strains in mice. In: Carcinogenesis. Vol. 1:
Polynuclear aromatic hydrocarbons: Chemistry, metabolism, and
carcinogenesis. Freudenthal, R.I., and P.W. Jones, eds. New York: Raven
Press, pp. 77-89.
Whittemore, A.S. 1977. Epidemiologic implications of the multistage theory of
carcinogenesis. In: Environmental health quantitative methods*
Whittemore, A.S., ed. Philadelphia: Society for Industrial and Applied
Mathematics, pp. 72-87.
Wiebel, F.J., J.C. Leutz, and H.V. Gelboin. 1973. Arylhydrocarbon
benzo[a]pyrene hydroxylase: Inducible in extrahepatic tissues of mouse
strains not inductible in liver. Arch. Biochem. Biophys. 154:292-294.
Wiebel, F.J., J.C. Leutz, and H.V. Gelboin. 1975. Arylhydrocarbon
benzo[a]pyrene hydroxylase: A mixed-function oxygenase in mouse skin.
J. Invest. Dermatol. 64(3):184-189.
Workshop on Diesel Engine Exhaust. 1981. U.S. Environmental Protection
Agency, Office of Research and Development, Research Triangle Park, NC.
February.
World Health Organization. 1979. Environmental Health Criteria. 10. Carbon
disulfide. Geneva.
Yang, S.K., P.P. Roller, and H.V. Gelboin. 1978. Benzo[a]pyrene metabolism:
Mechanism in the formation of epoxides, phenols, dihydrodiols, and the 7,8-
diol, 9,10-epoxides. In: Carcinogenesis, Vol. 3: Polynuclear aromatic
hydrocarbons: Chemistry, metabolism, and carcinogenesis. Freudenthal,
R.I., and P.W. Jones, eds. New York: Raven Press, pp. 285-301.
Zampaglione, N.C., and G.J. Mannering. 1973. Properties of benzpyrene
hydroxylase in the liver, intestinal mucosa and adrenal of untreated and
3-methylcholanthrene treated rats. J. Pharmacol. Exp. Ther.
185(3):676-685.
209
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