Report on the Peer Consultation Workshop to Discuss a
Proposed Protocol to Assess Asbestos-Related Risk
Preparedfor:
U.S. Environmental Protection Agency
Office of Solid Waste and Emergency Response
Washington, DC 20460
EPA Contract No. 68-C-98-148
Work Assignment 2003-05
Prepared by:
Eastern Research Group, Inc.
110 Hartwell Avenue
Lexington, MA 02421
FINAL REPORT
May 30, 2003

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NOTE
This report was prepared by Eastern Research Group, Inc. (ERG), an EPA contractor, as a general
record of discussion for the peer consultation workshop on a proposed protocol to assess asbestos-
related risk. This report captures the main points of scheduled presentations, highlights discussions
among the panelists, and documents the public comments provided at the meeting. This report does not
contain a verbatim transcript of all issues discussed, and it does not embellish, interpret, or enlarge upon
matters that were incomplete or unclear. EPA will use the information presented during the peer
consultation workshop to determine whether the proposed risk assessment methodology can be used to
support decisions at asbestos-contaminated sites. Except as specifically noted, no statements in this
report represent analyses by or positions of EPA or ERG.

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CONTENTS
List of Abbreviations 	iii
Executive Summary 	 v
1.	Introduction 	 1-1
1.1	Background	 1-1
1.2	Scope of the Peer Consultation Workshop	 1-2
1.2.1	Activities Prior to the Peer Consultation Workshop 		1-2
1.2.2	Activities at the Peer Consultation Workshop		1-3
1.2.3	Activities Following the Peer Consultation Workshop		1-4
1.3	Report Organization		1-5
2.	Background on the Proposed Protocol to Assess Asbestos-Related Risk	 2-1
3.	Comments on Topic Area 1: Interpretations of the Epidemiology
and Toxicology Literature 	 3-1
3.1	Lung Cancer 	 3-1
3.1.1	Lung Cancer and Fiber Type: Inferences from the Epidemiology Literatufib-1
3.1.2	Lung Cancer and Fiber Type: Inferences from Animal Toxicology
and Mechanistic Studies 	 3-6
3.1.3	Lung Cancer and Fiber Dimension: Inferences from the
Epidemiology Literature	 3-7
3.1.4	Lung Cancer and Fiber Dimension: Inferences from Animal
Toxicology and Mechanistic Studies	 3-9
3.1.5	Other Issues Related to Lung Cancer	 3-10
3.2	Mesothelioma	 3-12
3.2.1	Mesothelioma and Fiber Type: Inferences from the Epidemiology LiteraMeZ
3.2.2	Mesothelioma and Fiber Type: Inferences from Animal
Toxicology and Mechanistic Studies	 3-14
3.2.3	Mesothelioma and Fiber Dimension: Inferences from the
Epidemiology Literature	 3-16
3.2.4	Mesothelioma and Fiber Dimension: Inferences from Animal Toxicology and
Mechanistic Studies	 3-17
3.3	Exposure Estimates in the Epidemiology Literature 	 3-18
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CONTENTS (Continued)
4.	Comments on Topic Area 2: The Proposed Exposure Index	 4-1
4.1	Responses to Charge Question 4 	 4-1
4.2	Responses to Charge Question 5 	 4-3
4.3	Responses to Charge Question 6 	 4-4
5.	Comments on Topic Area 3: General Questions 	 5-1
5.1	Responses to Charge Question 7 		5-1
5.2	Responses to Charge Question 8 		5-2
5.3	Responses to Charge Question 9 		5-3
5.4	Responses to Charge Question 10 		5-4
5.5	Responses to Charge Question 12 		5-6
6.	Comments on Topic Area 4: Conclusions and Recommendations	 6-1
6.1	Responses to Charge Question 11 	 6-1
6.2	Development of Final Conclusions and Recommendations	 6-6
7.	References 	 7-1
Appendices
Appendix A List of Expert Panelists
Appendix B Premeeting Comments, Alphabetized by Author (includes bios of panelists and the
charge to the reviewers)
Appendix C List of Registered Observers of the Peer Consultation Workshop
Appendix D Agenda for the Peer Consultation Workshop
Appendix E Observer Comments Provided at the Peer Consultation Workshop
Appendix F Observer Post-Meeting Comments
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LIST OF ABBREVIATIONS
ATSDR
Agency for Toxic Substances and Disease Registry
EPA
U.S. Environmental Protection Agency
ERG
Eastern Research Group, Inc.
I ARC
International Agency for Research on Cancer
IRIS
Integrated Risk Information System
NIOSH
National Institute for Occupational Safety and Health
PCM
phase contrast microscopy
SEM
scanning electron microscopy
SVF
synthetic vitreous fibers
TEM
transmission electron microscopy
|im
micrometers
Ill

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EXECUTIVE SUMMARY
Eleven expert panelists participated in a peer consultation workshop to review a proposed protocol to
assess asbestos-related risks. The protocol is documented in the report, "Technical Support Document
for a Protocol to Assess Asbestos-Related Risk, Parts I and IF' (Berman and Crump 1999, 2001). At
the end of the 2'/2-day workshop, which was open to the public, the expert panelists drafted the
following summary of their findings:
The peer consultation panel strongly endorsed the conceptual approach of developing an updated
cancer risk assessment methodology that takes into account fiber type and fiber dimension. The
opportunity is at hand to use substantial new information from epidemiology, experimental toxicology,
and exposure characterization on what continues to be an extremely important societal issue—assessing
the health risks associated with environmental and occupational exposures to asbestos. The panel
recommended that EPA proceed in an expeditious manner to consider the panelists' conclusions and
recommendations with a goal of having an updated asbestos risk assessment methodology. It is
important that EPA devote sufficient resources so that this important task can be accomplished in a
timely and scientifically sound manner. The panel urges that additional analyses underpinning the
document, preparation of documentation, and further review be carried out in an open and transparent
manner.
Prior to the workshop, the participants received draft copies of the "Methodology for Conducting Risk
Assessments at Asbestos Superfund Sites Part 1: Protocol" and "Part 2: Technical Background
Document." The panelists generally found that these documents did not provide a complete and
transparent description of how the data were analyzed to support the conclusions presented. The
incomplete documentation of methodology precluded the replication of the findings, in advance of the
meeting, by several panelists. The methodology used was clarified by the comprehensive presentations
that Drs. Berman and Crump made at the workshop. However, future drafts of these documents must
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clearly describe the methodologies and include sufficient data, perhaps in appendices, such that the
findings can be replicated.
The panelists made the following conclusions and recommendations:
#	Measurement methods. Continuing advances have been made in the application of exposure
measurement technology for asbestos fibers during the past two decades. These advances
include the use of transmission electron microscopy (TEM) and allied techniques (e.g., energy
dispersive x-ray detection, or EDS) as an alternative to phase contrast microscopy (PCM),
thereby allowing the bivariate (i.e., length and width) characterization of fibers and fiber type.
The proposed risk assessment methodology incorporates these advances in the development of
an exposure index. The panel was in agreement that this aspect of the new risk assessment
methodology represents a substantial advance over the existing methodology.
#	Integration of exposure and risk assessment models. A key aspect of the proposed risk
assessment methodology is a linking of specific exposure characterization methodology with
exposure-response coefficients. It has been emphasized that any change in the exposure
characterization metrics must be accompanied by changes in the exposure-response coefficients
of the risk assessment models. This was emphasized in the report and the panelists endorsed this
view.
#	Access to additional raw data sets. The panelists strongly recommended that EPA make
every attempt to acquire and analyze raw data sets from key human epidemiological studies.
Where possible, it would also be desirable to obtain bivariate (i.e., length and diameter) fiber
exposure information for these re-analyses. Several panelists believed that review of additional
data sets offers substantial opportunity for improving the proposed risk assessment
methodology. In the event that raw data cannot be obtained due to confidentiality reasons or
other restrictions, the panelists suggested that the authors consider asking those who have
access to the data to conduct the necessary statistical analyses and communicate their results
directly to EPA for further consideration.
#	Fiber diameter. The proposed risk assessment methodology uses a diameter cut-off of 0.5
micrometers (|im) for considering fibers. The report states that fibers 0.7 |im in diameter can
reach the respiratory zone of the lung. A few panel members indicated that the fiber diameter
cut-off could be as high as 1.5 |im during oral breathing. The 0.4 |im cut-off came from rat data,
but larger diameters would be expected to be respirable in humans. There was general
agreement that the diameter cut-off should be between 0.5 and 1.5 |im. This issue is deserving
of further analysis.
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# Fiber length. The Berman and Crump analyses made a significant contribution by obtaining and
analyzing membrane filters from the animal inhalation studies in Edinburgh and conducting
quality-assured bivariate length and distribution analyses by TEM—thereby greatly reducing the
uncertainty of the exposure side of the exposure-response relationship for chronic fiber exposure
in rats. Unfortunately, correspondingly detailed information on bivariate size distribution is not
available for humans. This leads to the need to use the animal data, although one must always
recognize the uncertainties associated with interspecies extrapolations such as anatomic
characteristics and respirability between species. Future analyses may benefit from using other
available laboratory animal data sets and human data sets.
The fiber length distributions for the human cohort exposures are much more uncertain. For the
Wittenoom, Quebec, and South Carolina cohorts, there are limited fiber length distribution data
based on TEM analysis from historic membrane filter samples, but only fiber categories longer
than 5 |im and longer than 10 |im were counted. For all other cohorts, the measurements were
limited to PCM fiber counts for all fibers greater than 5 |im in length in some, and particle counts
(lOx objective) on midget impinger samples in others. Both methods do not measure thin fibers,
do not discriminate between asbestos and other mineral particles, and provide no information on
the concentrations of fibers longer than 10, 20, or 40 |im, or inter-laboratory variations in
optical resolution and counting rules. As one approach to addressing the varying uncertainty in
assessing exposure in the different studies, Berman and Crump used the available information to
make adjustments to the uncertainty ranges in the exposure-response coefficients. The
workshop panel welcomed this initiative but suggested alternative approaches (see "Methods,"
below).
Some panelists felt that an Exposure Assessment Workshop, with participants having a broad
range of expertise, could evaluate the uncertainties in historic occupational data sets' exposure
measurements. They felt such a workshop could result in a more confident assessment of
exposure-response relationships for populations exposed to a variety of amphiboles, chrysotile,
and mixtures. With incorporation of other available knowledge on fiber type, process, smoking
(if available), and the relative number of excess lung cancer and mesothelioma, it may well be
possible to gain a much clearer understanding of the roles of these variables as causal factors for
these asbestos-associated cancers. In addition, the workshop would prove valuable in further
discussion of mineralogical, geological, and industrial hygiene issues with regard to application of
the model to risk assessment in environmental sites of concern.
The Berman and Crump index assigns zero risk to fibers less than 5 |im in length. Fibers
between 5 and 10 |im are assigned a risk that is one three-hundredth of the risk assigned to
fibers longer than 10 |im. Panelists agreed that there is a considerably greater risk for lung
cancer for fibers longer than 10 |im. However, the panel was uncertain as to an exact cut size
for length and the magnitude of the relative potency. The panelists also agreed that the available
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data suggest that the risk for fibers less than 5 |im in length is very low and could be zero. This
specific issue was addressed by an expert panel convened by the Agency for Toxic Substances
and Disease Registry (ATSDR) in October 2002. Some panelists suggested that, for
mesothelioma, greater weight should perhaps be assigned to fibers in the 5 to 10 |im length
range and to thinner fibers.
#	Fiber type. For mesothelioma, the panelists supported the use of different relative carcinogenic
potencies for different fiber types. The panelists unanimously agreed that the available
epidemiology studies provide compelling evidence that the carcinogenic potency of amphibole
fibers is two orders of magnitude greater than that for chrysotile fibers. There was some
discussion about the precise ratio expressed due to questions about the availability of exposure
data in existing studies (e.g., Wittenoom). There was recognition that time since first exposure is
an important factor in determining risk for mesothelioma and some discussion is needed on the
importance of duration and intensity of exposure.
For lung cancer, the panelists had differing opinions on the inferences that can be made on the
relative potency of chrysotile and amphibole fibers. Some panelists supported the finding that
amphibole fibers are 5 times or more potent for lung cancer than are chrysotile fibers. Other
panelists did not think the statistical analyses in the draft methodology document supports this
relative potency and wondered if additional review of the epidemiological data might identify
factors other than fiber type (e.g., industry considered) that provide further insights on the
matter. These other factors can then be considered when the risk assessment is applied.
#	Cleavage fragments. The panel knew of little data to directly address the question as to
whether cleavage fragments of equal durability and dimension as fibers would have similar or
dissimilar potency for lung cancer. The general view is that data indicate that durability and
dimension are critical to pulmonary pathogenesis. Therefore, it is prudent at this time to assume
equivalent potency for cancer in the absence of other information to the contrary. Consideration
of conducting a rat inhalation study using tremolite cleavage fragments was recommended to
address this issue. For mesothelioma, it was viewed that thin fibers greater than 5 |im in length
are more important. Cleavage fragments that do not meet these criteria would not contribute to
risk of mesothelioma.
#	Other amphiboles. The panel agreed with the report's conclusion that the potency of currently
regulated and unregulated amphibole fibers should be considered equal based on the reasoning
that similar durability and dimension would be expected to result in similar pathogenicity.
#	Methods. The panelists extensively discussed the approach to conducting the meta-analysis of
the large number of epidemiological studies. A number of the panelists urged that consideration
be given to using more traditional approaches that would include development and application of
specific criteria for inclusion of studies into the exposure-response analysis, examination of
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heterogeneity and sources of the heterogeneity, and the use of sensitivity analysis to identify
influential studies.
The panelists also urged, in the study-specific analysis, exploration of alternative exposure-
response models other than the lung cancer and mesothelioma risk models EPA has been using
since 1986. This would possibly include non-linear response models (e.g., log-linear models),
examination of separate effects for concentration and duration, time since first exposure, time
since cessation of exposure, possibly dropping the "a factor," and different methods for
measurement error. The adequacy of different models should be examined using goodness of fit
statistics across all studies. The possibility of internal analyses should be re-examined (i.e., it may
be possible to obtain partial data, such as age-specific person years data, from authors).
Exploration of non-linearity should also include shape of the curve in the low exposure area.
The panelists also urged alternative approaches to meta-analyses. In particular, panelists
recommended meta-regression using original (untransformed) exposure-response coefficients, in
which predictor variables include the estimated percentage of amphiboles, percentage of fiber
greater than 10 |im, and categorical grouping of studies according to quality. Original exposure-
response coefficient variances should be used in conjunction with random effects models in
which residual inter-study variation is estimated. Analyses restricted to long latency and a
predictor variable for industry type should be considered. A priori distribution for inter-study
residual variance might also be considered. Meta-regression will allow simple inspection of
likelihoods to consider the importance of different predictor variables. Sensitivity analyses should
be conducted in which the inclusion or exclusion of specific studies or groups of studies is
evaluated.
Cigarette smoking. Most panelists felt strongly that future analyses need to pay more attention
to the effects of smoking on the lung cancer exposure-response model and extrapolations to
risk. However, the current data sets have variable and limited information available on smoking.
The panelists noted that smoking is the primary cause for lung cancer, but the lung cancer dose-
response relationship for smoking is complex due to the effects of smoking duration, intensity,
and cessation.
The impact of smoking has effects on both the estimation and the application of the model for
projecting risk of lung cancer due to asbestos exposure. This may be an especially critical issue
for low-exposure extrapolation. With respect to estimation, accepting the form of the proposed
model, the effect of smoking may require different KL values for smokers and non-smokers. The
panelists recognized that there is limited epidemiologic data to address this issue, but
recommend that it be investigated. With respect to applying the model to make risk projections
for any future cohort, the background rate of lung cancer employed in the model needs to be
carefully determined to capture the smoking behavior of the cohort.
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# Localized tremolite exposures. During the course of public comments, the panel received
input from several individuals who expressed concerns about environmental exposures to
tremolite asbestos from localized geologic formations in California. The individuals suggested
that inadequate attention had been given to characterization of the exposures to residents of
these communities. While the panel was not in a position or charged with the evaluation of this
issue, the panel did feel that this was a potentially serious matter deserving of attention by the
appropriate public health authorities. Evaluation of these kinds of situations would benefit from
the use of the improved risk assessment methodology being considered.
The remainder of this report summarizes the discussions and observations that led to these findings,
reviews the panelists' comments on many topics not listed in this executive summary, and documents
the observer comments provided at the workshop.
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1. INTRODUCTION
This report summarizes a peer consultation by 11 expert panelists of a proposed protocol to assess
asbestos-related risks. Contractors to the U.S. Environmental Protection Agency (EPA) developed the
proposed protocol, which is documented in a report titled: "Technical Support Document for a
Protocol to Assess Asbestos-Related Risk" (Berman and Crump 2001). The purpose of the peer
consultation workshop was to provide EPA feedback on the scientific merit of the proposed protocol.
The peer consultation workshop took place in a meeting open to the public on February 25-27, 2003,
in San Francisco, California.
This report summarizes the technical discussions among the expert panelists and documents comments
provided by observers. These discussions largely focused on three topic areas: interpretations of the
epidemiology and toxicology literature, the proposed exposure index, and general questions about key
assumptions and inferences in the protocol. The remainder of this introductory section presents
background information on the protocol (Section 1.1), describes the scope of the peer consultation
workshop (Section 1.2), and reviews the organization of this report (Section 1.3).
1.1 Background
EPA's current assessment of asbestos toxicity is based primarily on an asbestos review completed in
1986 (EPA 1986) and has not changed substantially since that time. The 1986 assessment considers six
mineral forms of asbestos and all asbestos fiber sizes longer than 5 micrometers (|im) to be of equal
carcinogenic potency. However, since 1986, asbestos measurement techniques and the understanding
of how asbestos exposure contributes to disease have improved substantially. To incorporate the
knowledge gained over the last 17 years into the agency's toxicity assessment for asbestos, EPA
contracted with Aeolus, Inc., to develop a proposed methodology for conducting asbestos risk
assessments. The proposed methodology distinguishes between fiber sizes and fiber types in estimating
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potential health risks related to asbestos exposure. The methodology also proposes a new exposure
index for estimating carcinogenic risk.
As a key step in determining the scientific merit of the proposed risk assessment methodology, EPA
decided to obtain expert input on the draft report through a peer consultation workshop. The purpose
of the workshop was to obtain feedback from subject-matter experts during the development stage of
the proposed risk assessment methodology; the workshop was not an official peer review. Eastern
Research Group, Inc. (ERG), organized and implemented the peer consultation workshop under a
contract to EPA.
1.2 Scope of the Peer Consultation Workshop
The peer consultation involved many activities before the workshop (see Section 1.2.1), at the
workshop (see Section 1.2.2), and after the workshop (see Section 1.2.3). The following subsections
describe these activities.
1.2.1 Activities Prior to the Peer Consultation Workshop
This section describes the major activities ERG and the expert panelists conducted prior to the peer
consultation workshop:
# Select expert panelists. ERG selected the expert panelists for the peer consultation workshop.
ERG sought to compile a panel of experts with broad experience and expertise in the following
disciplines: toxicology, epidemiology, biostatistics, asbestos sampling and analytical methods,
EPA's human health risk assessment guidelines, and asbestos-related environmental and
occupational health issues. Appendix A lists the expert panelists ERG selected, and Appendix B
includes brief biographies that summarize the panelists' areas of expertise.
Every panelist is either a senior scientist, physician, or researcher with extensive experience in
the aforementioned fields, as demonstrated by peer-reviewed publications, awards, and service
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to relevant professional societies. To ensure the peer consultation offered a balanced
perspective, ERG intentionally selected expert panelists with a broad range of affiliations (e.g.,
academia, consulting, state and federal agencies). When searching for panelists, ERG asked all
candidates to disclose real or perceived conflicts of interest.
#	Prepare a charge to the expert panelists. ERG worked with EPA to prepare written
guidelines (commonly called a "charge") for the peer consultation workshop. The charge
includes 12 specific questions, organized into 4 topic areas. Discussions at the workshop largely
addressed the technical issues raised in the charge, but the expert panelists were encouraged to
discuss other relevant matters that were not specifically addressed in the charge questions. A
copy of the charge is included in Appendix B.
#	Distribute review documents and other relevant information. Several weeks prior to the
peer consultation workshop, ERG sent every panelist copies of the charge and the proposed
risk assessment methodology (Berman and Crump 2001). These items formed the basis of the
technical discussions at the workshop. In addition, ERG distributed several additional
publications on related topics (see Table 1, at the end of this section, for list of the publications).
The supplemental publications were provided largely in response to panelists' requests for
further background information on selected issues. The panelists also circulated publications
amongst themselves on specific topics. Finally, one of the meeting chairs noted for the record
that, upon arriving in San Francisco, he also received a memo and copies of many abstracts and
other information from Cate Jenkins of EPA. The meeting chair offered to share these materials
with other panelists during the workshop.
#	Obtain and compile the panelists' premeeting comments. After receiving the workshop
materials, the panelists were asked to prepare their initial responses to the charge questions.
Booklets containing the premeeting comments were distributed to the expert panelists before the
workshop and were made available to observers at the workshop. These initial comments are
included in this report, without modification, as Appendix B. It should be noted that the
premeeting comments are preliminary in nature. Some panelists' technical findings may have
changed after the premeeting comments were submitted.
1.2.2 Activities at the Peer Consultation Workshop
The 11 expert panelists and approximately 75 observers attended the peer consultation workshop,
which was held at the Westin St. Francis Hotel in San Francisco, California, on February 25-27, 2003.
The workshop was open to the public, and the workshop dates and times were announced in the
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Federal Register. Appendix C lists the observers who confirmed their attendance at the workshop
registration desk. The workshop schedule generally followed the agenda, presented here as Appendix
D.
The workshop began with introductory remarks from Ms. Jan Connery (ERG), the facilitator of the
peer consultation. Ms. Connery welcomed the expert panelists and observers, stated the purpose of the
workshop, identified the document being reviewed, and explained the procedure for observers to make
comments. Mr. Richard Troast (EPA) then provided background information on the review document
and EPA's ongoing efforts to assess asbestos toxicity (see Section 1.1). Mr. Troast identified the main
differences between EPA's existing asbestos risk assessment methodology (EPA 1986) and the
proposed methodology (Berman and Crump 2001). Mr. Troast noted that the expert panelists'
feedback will ultimately help EPA complete its update of asbestos health risks for the Integrated Risk
Information System (IRIS); he clarified that the final IRIS update will be subject to peer review or
Science Advisory Board review before being implemented. Following these opening remarks, Dr.
Wayne Berman and Dr. Kenny Crump—the authors of the proposed methodology—presented
detailed information on the review document; Section 2 of this report summarizes their presentations.
After the background presentation, Dr. Roger McClellan and Dr. Leslie Stayner chaired the technical
discussions that followed. For the remainder of the meeting, the panelists engaged in free-flowing
discussions when answering the charge questions and addressing additional topics not specified in the
charge. Observers were given the opportunity to provide verbal comments three different times during
the workshop; these observer comments are documented in Appendix E. Representatives from EPA
and the document authors provided clarifications on the proposed methodology periodically throughout
the 2'/2-day workshop.
1.2.3 Activities Following the Peer Consultation Workshop
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The primary activity following the peer consultation workshop was preparing this summary report. A
technical writer from ERG who attended the meeting prepared a draft of this report, which ERG
distributed to the 11 expert panelists and asked them to verify that the draft accurately reflects the tone
and substance of the panelists' discussions at the workshop. After incorporating the panelists'
suggested revisions to the draft report, ERG submitted the final report (i.e., this report) to EPA.
1.3 Report Organization
The structure of this report follows the order of the technical discussions during the meeting. Section 2
summarizes Dr. Berman and Crump's background presentations. Sections 3 through 6 are records of
the panelists' discussions on the four main topic areas: interpretations of the epidemiology and
toxicology literature (Section 3), the proposed exposure index (Section 4), general questions (Section
5), and conclusions and recommendations (Section 6). Finally, Section 7 provides references for all
documents cited in the text.
The appendices to this report include background information on the peer consultation workshop. This
information includes items that were on display at the workshop and items generated since the
workshop (e.g., a final list of attendees). The appendices contain the following information:
#	List of the expert panelists (Appendix A).
#	The panelists' premeeting comments, the charge to the reviewers, and brief bios of the expert
panelists (Appendix B).
#	List of registered observers of the peer consultation workshop (Appendix C).
#	Agenda for the peer consultation workshop (Appendix D).
#	Observer comments provided at the peer consultation workshop (Appendix E).
#	Observer post-meeting comments (Appendix F).
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Table 1
References ERG Provided to the Expert Panelists
Berman, DW and Crump K. 1999. Methodology for Conducting Risk Assessments at Asbestos
Superfund Sites; Part 1: Protocol. Final Draft. Prepared for U.S. Environmental Protection Agency.
February 15, 1999.
Berman, DW and Crump K. 2001. Technical Support Document for a Protocol to Assess
Asbestos-Related Risk. Final Draft. Prepared for U.S. Department of Transportation and U.S.
Environmental Protection Agency. September 4, 2001.
Berman, DW, Crump, K., Chatfield, E., Davis, J. and A. Jones. 1995. The Sizes, Shapes, and
Mineralogy of Asbestos Structures that Induce Lung Tumors or Mesothelioma in AF/HAN Rats
Following Inhalation. Risk Analysis. 15:2,181-195.
Berman, DW. 1995. Errata. Risk Analysis. 15:4, 541.
Committee on Nonoccupational Health Risks of Asbestiform Fibers. Breslow, L., Chairman. 1984.
Asbestiform Fibers Nonoccupational Health Risks. Washington, DC: National Academy Press.
EPA 1986. Airborne Asbestos Health Assessment Update. U.S. Environmental Protection Agency.
EPA 600/8-84-003F. 1986.
NIOSH Interdivisional Fiber Subcommittee Report. Prepared by the NIOSH Interdivisional Fiber
Subcommittee. 1999.
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2. BACKGROUND ON THE PROPOSED PROTOCOL
TO ASSESS ASBESTOS-RELATED RISK
This section summarizes presentations given by the principal authors of the proposed risk assessment
methodology. These presentations were given because several panelists asked ERG, prior to the peer
consultation workshop, if the authors would provide detailed background information on how the
methodology was developed. This section reviews the major presentation topics, but does not present
the panelists' comments on the proposed protocol. Sections 3 through 6 document the expert panelists'
technical feedback on the protocol.
#	Motivation for developing the proposed protocol Dr. Berman identified several reasons for
developing the updated protocol for assessing asbestos-related risks. These reasons include
EPA's existing asbestos models being inconsistent with inferences from the scientific literature,
the need for having uniformly-applied sampling and analytical procedures to measure asbestos
characteristics most predictive of risk, and the belief that EPA's current asbestos risk
assessment methodology may not be adequately protective in some circumstances. To improve
upon the current methodology, the authors intended to develop a risk assessment model that
adequately predicts cancer risk in all studied environments and can therefore be applied with
much greater confidence to environments that have not been studied. Dr. Berman outlined the
general approach taken to develop the proposed protocol, as summarized in the following
bulleted items.
Dr. Berman provided background information on and definitions for asbestos, other fibrous
structures, asbestos morphology, and cleavage fragments. He also described the capabilities and
limitations of the analytical techniques that have been used to characterize asbestos exposures,
such as midget impingers, phase contrast microscopy (PCM), scanning electron microscopy
(SEM), and transmission electron microscopy (TEM). Dr. Berman explained how differences in
these analytical techniques must be critically evaluated when comparing results reported in all
epidemiological and other types of studies that examine asbestos exposure. Dr. Berman also
stressed that it is not just differences in analytical techniques, but choice of specific methods for
each analytical technique that affects results. Further information on these topics is included in
Chapter 4 of the proposed protocol (Berman and Crump 2001).
#	Re-analysis of human epidemiological data. Dr. Crump described how the authors
evaluated the human epidemiological data. He displayed a list of the studies that were
considered, noting that he had access to raw, individual-level data for three occupational
cohorts: chrysotile textile workers in South Carolina, United States; crocidolite miners in
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Wittenoom, Australia; and chrysotile miners and millers in Quebec, Canada. All data sets with
exposure data were considered in the analysis, and criteria were not established for selecting
studies. Dr. Crump then presented findings for asbestos-related risks for lung cancer and
mesothelioma.
For lung cancer, Dr. Crump first reviewed EPA's existing lung cancer model for asbestos
exposure (see equation 6.1 in the proposed protocol), which relates the relative risk of lung
cancer mortality linearly to cumulative asbestos exposure, with a 10-year lag time. Dr. Crump
noted that the model predicts that relative risk for developing lung cancer remains constant after
asbestos exposure ceases—an assumption he showed was reasonably consistent with findings
from epidemiological studies. Dr. Crump also discussed how the model assesses interactions
between exposures to cigarette smoke and to asbestos—an issue the panelists revisited several
times later in the workshop (e.g., see Section 3.1.1 and the executive summary). Dr. Crump
presented a series of tables and figures demonstrating the adequacy of multiple lung cancer
models: first using EPA's existing lung cancer model, next using a modified version of the model
that accounts for differences in the background rates of lung cancer, and finally using the
proposed lung cancer model, which considers an exposure index that assigns greater
carcinogenic potency to amphibole fibers and to longer fibers.
Similarly, Dr. Crump reviewed the performance of EPA's mesothelioma model for asbestos
exposures (see equation 6.11 in the proposed protocol), which predicts that mesothelioma risks
vary linearly with the average asbestos exposure and increase quadratically with time from onset
of exposure. Dr. Crump presented several tables and graphs indicating how well EPA's existing
model and the proposed protocol fit the human epidemiological data. He made several
conclusions about the existing risk model, including that mesothelioma risk coefficients varied
considerably across the cohorts and the risk coefficients were generally higher for cohorts
exposed primarily to amphibole fibers, compared to those exposed primarily to chrysotile fibers.
Dr. Crump also noted that the data did not support consideration of a sub-linear or threshold
dose-response relationship. This latter point generated considerable discussion later in the
workshop (e.g., see Section 4.3).
Dr. Crump then described the meta-analysis the authors conducted to evaluate the relative
potency of amphibole and chrysotile fibers. First, he explained how the authors weighted the
different studies in the meta-analysis, based on uncertainty factors assigned to the individual
studies. Dr. Crump identified the four uncertainty factors and described generally how each
factor was assigned. Sources of uncertainty included representativeness of air sampling data, the
availability of conversion factors to express exposures in terms of PCM concentrations, and
whether data on exposure duration were available. Dr. Crump then highlighted the main
conclusions from the meta-analysis. For lung cancer, the meta-analysis suggested that amphibole
fibers are approximately five times more potent than are chrysotile fibers, but the difference in
potency was not statistically significant (i.e., the authors could not reject the hypothesis that
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chrysotile fibers and amphibole fibers are equally potent). For mesothelioma, the meta-analysis
suggested that chrysotile fibers are 0.002 times as potent as amphibole fibers, and the difference
in potency was statistically significant.
#	Inferences drawn from the broader literature. Dr. Berman described how the authors
incorporated inferences from the broader scientific literature into the proposed protocol. He
reviewed key findings on how various mechanisms are biologically related to how asbestos
causes disease. These mechanisms included respiration, deposition, degradation, clearance,
translocation, and tissue-specific biological responses. Chapter 7 of the review document
provides detailed information on the relevance of these mechanisms, with emphasis on the
influence of fiber type and fiber dimension.
#	Derivation of the exposure index. Dr. Berman explained how the authors derived the
exposure index, which is largely based on an earlier re-analysis (Berman et al. 1995) of six
animal inhalation studies conducted by a single laboratory. That re-analysis found that lung tumor
incidence is adequately predicted using an exposure index that assigns no carcinogenic potency
to fibers shorter than 5 |im, relatively low carcinogenic potency to fibers with lengths between 5
and 40 |im and diameters less than 0.4 |im, and the greatest carcinogenic potency to fibers
longer than 40 |im and thinner than 0.4 |im. However, these findings could not be applied
directly to the human epidemiological data, because the epidemiological studies do not include
exposure measurements that quantify the relative amounts of asbestos fibers shorter and longer
than 40 |im.
Dr. Berman noted that the proposed protocol includes an ad hoc assumption that the fiber size
weighting factors optimized from the laboratory animal studies can be applied to humans, but
with a length cut-off of 10 |im in the exposure index, rather than a cut-off of 40 |im. Dr. Berman
emphasized that this assumption was made to model the critical characteristics of asbestos in a
manner that reasonably captures cancer risks observed across multiple epidemiological studies.
He acknowledged that asbestos potency is likely a continuous function of fiber length, but the
exposure measurements from the available animal and epidemiological studies do not support
incorporating such a continuous function in the exposure-response model. The panelists
commented on the proposed exposure index when discussing topic area 3 (see Section 4).
Dr. Berman also noted that the authors selected a conservative set of dose-response coefficients
(see Table 6-30 of the review document), rather than using the optimized ones from the animal
studies (see Table 6-29). However, the conservative and optimized dose-response coefficients
were reasonably consistent: none of the conservative coefficients differed by more than a factor
of 4 from the corresponding optimized ones.
#	Conclusions regarding proposed protocol. Dr. Berman indicated that the proposed protocol
is substantially more consistent with inferences documented in the scientific literature (i.e., that
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long, thin structures contribute most to risk) than EPA's existing risk assessment methodology.
Further, the proposed protocol provides a better fit to cancer risks observed in the human
epidemiological studies than does EPA's existing model, and the proposed protocol appears to
underestimate risks of lung cancer and mesothelioma less frequently and to a lesser degree than
the existing approach. Finally, by recommending use of a standardized analytical method that
links directly to the exposure index, the proposed protocol will help ensure that future risk
assessments are conducted in a consistent fashion and their results can be readily compared
from one study to the next.
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3. COMMENTS ON TOPIC AREA 1: INTERPRETATIONS OF THE
EPIDEMIOLOGY AND TOXICOLOGY LITERATURE
This section summarizes the panelists' discussions on the interpretations of the epidemiology and
toxicology literature. The meeting co-chairs—Dr. McClellan and Dr. Stayner—facilitated the
discussions on this topic area, which focused first on lung cancer (see Section 3.1) and then on
mesothelioma (see Section 3.2). This section presents a record of discussion of the topics mentioned
during the workshop. Several panelists referred to their premeeting comments (see Appendix B) for
additional suggestions for how the review of epidemiology and toxicology literature can be improved.
3.1 Lung Cancer
The panelists discussed at length whether the epidemiology and toxicology literature support the
proposed protocol's finding for how lung cancer potency varies with fiber type and fiber length. This
section summarizes these discussions, first on fiber type (Sections 3.1.1 and 3.1.2) and then on fiber
length (Sections 3.1.3 and 3.1.4). General issues regarding the lung cancer evaluation are presented in
Section 3.1.5.
3.1.1 Lung Cancer and Fiber Type: Inferences from the Epidemiology Literature
According to the proposed risk assessment methodology, amphibole fibers have a 5-fold greater lung
cancer potency than do chrysotile fibers. The panelists had differing opinions on whether this finding is
consistent with the epidemiology literature. On the one hand, some panelists indicated that the
epidemiology literature is consistent with amphibole fibers being more potent for lung cancer, though the
magnitude of this increase may not be known precisely. One panelist noted, for example, that multiple
analyses (e.g., Hodgson and Darnton 2000, Berman and Crump 2001, and the statistical analyses a
panelist presented during this discussion) all point to a consistent increased lung cancer potency for
amphibole fibers compared to chrysotile fibers, albeit a small increase. On the other hand, other
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panelists did not believe the epidemiology literature supports this conclusion, for reasons stated below.
Finally, other panelists were not convinced that the epidemiology literature supports the higher lung
cancer potency for amphibole fibers, but they believed the difference in potency seems likely based on
evidence from the animal toxicology studies (see Section 3.1.3) and lung burden studies. A summary of
the panelists' discussion on this topic follows:
# Comments on specific publications. Several panelists cited specific studies to support their
positions on the relative lung cancer potency of chrysotile and amphibole fibers, but the panelists
often had differing opinions on the inferences that should be drawn. The panelists mentioned the
following specific studies:
~	Some panelists noted that a recent re-analysis of 17 cohorts (Hodgson and Darnton
2000) indicates that the lung cancer potency for amphibole fibers is 10 to 50 times
greater than that for chrysotile fibers. One panelist did not agree with this finding, due to
the crude approach the article uses to characterize relative potency. Specifically, this
panelist noted that carcinogenic potency was calculated by dividing the overall relative
risk for a given cohort by the average exposure for the entire cohort, even for cohorts
where the data support more sophisticated exposure-response modeling. He was
particularly concerned about the authors' decision to omit the cohort of South Carolina
textile workers from the meta-analysis. This decision was apparently based on the
South Carolina cohort being an outlier, due to its much higher lung cancer potency
when compared to other studies. The panelist noted, however, that the lung cancer risk
for the South Carolina cohort is not unusually high when compared to other cohorts of
textile workers. The panelist was concerned that omitting this study might have biased
the article's finding regarding relative lung cancer potency. No other panelists discussed
the review article.
~	One panelist cited a study of Quebec chrysotile miners and millers (Liddell et al. 1997,
1998) that reports that increased lung cancer risk was limited to the mining region with
the highest level of tremolite asbestos, after correction for smoking and exposure. The
article was distributed to the panelists on the first day of the workshop, but no panelists
commented further on the study.
~	One panelist noted that his review of multiple textile cohorts (Stayner, Dankovic, and
Lemen 1996) found relatively small differences in lung cancer potency, even though
some of the cohorts were exposed to asbestos mixtures containing different proportions
of amphibole fibers.
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~	One panelist indicated that further evidence on how fiber types relates to lung cancer
potency can be gleaned from epidemiological studies that were not included in the
meta-analysis due to inadequate exposure data for exposure-response modeling.
Examples include a study of non-occupationally exposed women from two chrysotile
asbestos mining regions (Camus et al. 1998) and a study of railroad workers employed
by shops that processed different proportions of amphibole fibers (Ohlson et al. 1984).
Both studies, she noted, provide evidence that amphibole fibers exhibit greater lung
cancer potency. This panelist added that studies of auto mechanics have provided no
convincing evidence of increased lung cancer due to chrysotile exposure, though she
acknowledged that the absence of an effect might reflect the short fiber length in the
friction brake products. One panelist cautioned about inferring too much from these
studies regarding fiber type because they were not controlled for other factors, such as
fiber length and level of exposure.
~	One panelist added that a recent study of a cohort of Chinese asbestos plant workers
(Yano et al. 2001) should be considered in future updates to the proposed protocol;
the workers in the cohort had increased risks for lung cancer and were reportedly
exposed to "amphibole-free" chrysotile asbestos. However, another panelist cited a
publication (Tossavainen et al. 2001) that indicates that asbestos from many Chinese
chrysotile mines actually does contain varying amounts of amphibole fibers.
~	Several panelists noted that the proposed protocol's meta-analysis found a 5-fold
difference in lung cancer potency between amphibole and chrysotile fibers. However,
other panelists indicated that the reported difference was not statistically significant.
Some panelists had additional reservations about the authors' meta-analysis, as
summarized in the following bulleted items.
# Comments on the meta-analysis approach. Several panelists commented on alternate
approaches the authors could have used to conduct their meta-analysis of the epidemiology
studies. One panelist noted that the lung cancer potencies reported by the various studies exhibit
considerable heterogeneity. In such cases, meta-regression is conventionally used to identify
which factors account for the variability in the results (i.e., in the lung cancer potencies). This
panelist suggested that the meta-analysis should have considered other factors in addition to
fiber type and dimension; such other factors could include industry, follow-up time for the
cohort, and estimated percentage of amphibole fibers in the exposures, to the extent that data on
these other factors are available.
To demonstrate how more detailed investigation might reveal further insights, one panelist
presented his own initial statistical analysis of the epidemiological studies. This analysis used a
fixed effects model and a random effects model, both inverse weighted by the variance of the
studies. His analysis examined how industry and fiber type contribute to the heterogeneity
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observed among the cohorts and found that the industry of the cohort appears to be a stronger
predictor than fiber type. The panelist explained that the purpose of displaying his statistical
analysis was to highlight how other approaches to conducting meta-analysis can offer different
insights on the epidemiological data. This panelist recommended that the authors conduct similar
meta-regression analyses to investigate the importance of various variables on the lung cancer
potency.
This panelist also demonstrated how a sensitivity analysis might yield additional information on
influential studies. Using a fixed effects model, the panelist first showed how lung cancer potency
factors (Kl) vary with exposure to chrysotile fibers, amphibole fibers, and mixed fiber types.
When all epidemiological studies were considered in his analysis, the amphibole fibers were
found to be three times more potent than the chrysotile fibers. When the cohort of chrysotile
miners and millers from Quebec was omitted from this analysis, however, the amphibole fibers
were found to be nearly two times less potent than the chrysotile fibers. Conversely, when the
cohort of textile workers from South Carolina was omitted, the amphibole fibers were found to
be more than ten times more potent than the chrysotile fibers. Given that the conclusions drawn
about the relative potency of chrysotile and amphibole fibers appear to be highly sensitive to
whether single studies are omitted from the analysis, this panelist was more skeptical about
whether the increased potency of amphibole fibers is a robust finding. He recommended that the
authors, when completing the proposed protocol, conduct similar sensitivity analyses to help
reveal the factors or studies that appear to contribute most to lung cancer.
Another panelist agreed with this feedback, and provided further comments on the meta-
analysis, noting that these analyses typically start with establishing criteria for study inclusion.
After selecting studies to evaluate, she said, various statistical analyses can be used to test
hypotheses and to understand the concordance and disparity among the individual studies. The
panelist thought such an approach is needed to help understand the variability in potency factors
observed across the multiple studies and to identify for further analysis the studies found to be
most descriptive of exposure-response. To clarify the authors' approach, Dr. Berman indicated
that the meta-analysis considered any published epidemiological study with sufficient quantitative
exposure data that allowed for a reasonable estimate of the exposure-response relationship;
uncertainty factors were than assigned to give greatest weight to the most robust studies. In
response, additional panelists concurred with the original comment that meta-analyses
conventionally begin with establishing explicit study inclusion criteria. These panelists clarified
that they are not advocating removing a majority of studies currently considered in the proposed
protocol, but rather being more judicious in selecting the studies to evaluate.
One panelist offered additional comments on the meta-analysis. He supported, for instance, the
use of sensitivity analyses, and encouraged the authors to conduct additional analyses to identify
influential studies, factors that contribute to risk, and the impact of different weighting factors.
The panelist also noted that more sophisticated statistical methodologies (e.g., Bayesian
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modeling, Markov Monte Carlo) can be used to generate distributions of outputs, rather than
discrete values, which might offer greater understanding of the inferences that can be drawn from
the epidemiological studies.
#	Disparate findings from the South Carolina and Quebec cohorts. Multiple panelists noted
that the issue of the relative lung cancer potency of chrysotile and amphibole fibers depends
largely on how one interprets the disparate findings from the cohort of textile workers in South
Carolina and the cohort of chrysotile miners and millers in Quebec. Two of these panelists
indicated that the relative potency issue likely will not be resolved until the underlying reasons for
the differences between these two studies are better understood. The other panelist viewed the
difference in potency observed across industries (i.e., mining versus textile) as a more important
matter than the difference between the two specific cohorts. When discussing these studies, two
panelists indicated that the increased lung cancer risk for the South Carolina cohort might be
attributed to exposure to amphibole fibers, which are known to be found in trace levels in
commercial chrysotile.
#	Relevance of fiber durability. One panelist noted that the issue of fiber durability often enters
the debate on the relative lung cancer potency of chrysotile and amphibole fibers. Though he
agreed that the animal toxicology data indicate that amphibole fibers are more persistent than
chrysotile fibers, the panelist noted that trends among the human epidemiological
data—particularly the fact that lung cancer risk does not appear to decrease with time since last
exposure, even for chrysotile—suggest that the lower durability of the chrysotile fibers might not
be important.
#	Influence of smoking. The panelists had differing opinions on how the proposed protocol
should address cigarette smoking. In terms of inferences drawn from the epidemiological
literature, two panelists noted that very limited data are available on smoking, making
quantitative analysis of its interactions with asbestos exposures difficult. Specifically, only one
study includes detailed information on smoking, but that study found no difference in lung cancer
potency between smokers and non-smokers. During this discussion, Dr. Berman explained that
the proposed protocol assumes a multiplicative interaction between smoking and asbestos
exposure, consistent with EPA's 1986 model. Dr. Berman noted that a multiplicative factor in
the model, a, represents the background risk in the studied cohort relative to the risk in the
comparison population, and both groups include smokers; he added that the influence of
smoking is addressed implicitly in the model because it is a relative risk model in which the effect
of asbestos is multiplied to the background risk that is present. A panelist clarified, however, that
neither the potency factors nor a were derived based on observations of smoking prevalence in
the epidemiological studies.
One panelist emphasized that the confounding effects of smoking greatly complicates the analysis
of lung cancer potency. He noted that the relative lung cancer risk from asbestos exposure is
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considerably lower than that for cigarette smoking. As a result, the panelist wondered how the
meta-analysis can truly discern the relative potency of the asbestos fiber types from studies that
present no information on cigarette smoking. This panelist provided an example to illustrate his
concern: if a given cohort has between 5 and 10% more smokers than the typical population,
this increased prevalence of smoking alone could totally confound relative risks attributed to
asbestos. The panelist indicated that all future analyses of epidemiological data will suffer from
similar limitations, so long as detailed information on smoking is not available.
# General comments. During this discussion, some panelists offered several general comments
that apply to the entire proposed protocol. These comments included concerns about the
transparency of the analyses, questions about data tables being inconsistent with text in the body
of the report, and some panelists' inability to reproduce certain findings from the available data.
These general comments are reflected in the executive summary of this report.
3.1.2 Lung Cancer and Fiber Type: Inferences from Animal Toxicology and
Mechanistic Studies
The panelists offered varying insights on the inferences that can, or should, be drawn from animal
toxicology studies and mechanistic studies regarding the relative lung cancer potency for chrysotile and
amphibole fibers.
Citing various publications (e.g., Lippmann 1994), multiple panelists noted that the animal toxicology
studies do not support the 5-fold difference in lung cancer potency between chrysotile and amphibole
fibers. Two panelists added that the absence of different potencies might result from the animal studies
being of too short duration (typically no longer than 2 years) for the greater dissolution of chrysotile
fibers to be an important factor. Another panelist added that exposure levels in some animal studies are
not relevant to human exposures; as an example, he noted that a recent rat inhalation study (Hesterberg
et al. 1998) involved exposure levels at 11,000 fibers per cubic centimeter. These panelists indicated
that the animal studies are generally more informative of how lung cancer potency varies with fiber
length (see Section 3.1.4), and are less informative on how potency varies with fiber type.
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The panelists noted that in vitro studies exhibit various findings, depending on the study design and
endpoint assessed. One panelist, for instance, indicated that some in vitro studies suggest that
chrysotile fibers are actually more potent than amphibole fibers. Other panelists added that many in
vitro studies show crocidolite being considerably more toxic than chrysotile. These panelist cautioned
against drawing firm conclusions from the in vitro studies, however, given that the study duration is far
too short for any impact of dissolution to be observed. Finally, another panelist referred to the
International Agency for Research on Cancer (IARC) consensus statement on fiber carcinogenesis for
an overview of inferences that can be drawn from mechanistic studies: "Overall, the available evidence
in favor of or against any of these mechanisms leading to the development of lung cancer and
mesothelioma in either animals or humans is evaluated as weak" (IARC 1996).
Based on the previous comments, the panelists cautioned about attempting to draw inferences from the
animal toxicology for several reasons. One panelist indicated that the animal studies have limited utility
because lung cancer in humans results from a complex set of exposures, including cigarette smoke, and
because rats, when compared to humans, develop different types of tumors at different sites. Another
panelist reiterated that the duration of most animal studies precludes one from observing dissolution
effects. Given these limitations, two panelists emphasized that conclusions should be based primarily on
the epidemiological data, especially considering the volume of human data that are available. Though
not disagreeing with this recommendation, one panelist noted that the exposure index—one of the
major outcomes of the proposed protocol—is, in fact, based on observations from animal studies.
3.1.3 Lung Cancer and Fiber Dimension: Inferences from the Epidemiology
Literature
The panelists made several observations regarding what can be inferred from the epidemiology
literature on how lung cancer potency varies with fiber dimension, though they first noted that most
published epidemiology studies do not include detailed data on the distribution of fiber dimensions to
which cohorts were exposed. Overall, the panelists generally agreed that indirect evidence from the
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epidemiological studies supports the proposed protocol's finding that longer fibers have greater
carcinogenic potency for lung cancer. They added, however, that the epidemiology literature provides
no evidence to support or refute the magnitude of the relative potencies used in the proposed protocol
(i.e., fibers longer than 10 |im being 300 times more potent than those with lengths between 5 and 10
|im). The panelists made no comments about fiber diameter when discussing this matter. Specific
discussion topics follow:
#	Observations from the epidemiology literature. The panelists identified several studies that
provide general insights on the role of fiber size in lung cancer. One panelist, for instance, noted
that cohorts of textile workers, which were believed to be exposed to relatively longer asbestos
fibers, exhibit higher lung cancer relative risks than do cohorts of miners or cement product
workers. Another panelist indicated that studies of taconite miners from Minnesota (Cooper et
al. 1988) and gold miners from South Dakota (McDonald et al. 1978) found no increased lung
cancer risks among the cohorts, which were known to be exposed primarily to fibers shorter
than 5 |im (see Dr. Case's premeeting comments for further information on these studies). This
panelist added that the Minnesota Department of Health is currently updating the study on
taconite miners and a publication is pending. Another panelist added that epidemiology studies
of workers exposed to asbestos from friction brake products show no clear evidence of
increased lung cancer. This panelist acknowledged that these epidemiology studies do not
include exposure measurements, but other studies of this work environment have indicated that
the asbestos fibers in friction brake products are predominantly short chrysotile fibers.
#	Relevance of fibrous structures shorter than 5 \im. Some panelists noted that no
epidemiology studies have examined the relative potency specifically of fibrous structures shorter
than 5 |im, thus no conclusions could be drawn from the epidemiology studies alone. While not
disagreeing with this observation, one panelist reminded panelists that airborne particles and
fibers have a broad distribution of fiber lengths, with a clear majority (75-90%) of fibrous
structures being shorter than 5 |im. This panelist added that indirect inferences can be drawn
from the epidemiology studies listed in the previous bulleted item. Another panelist noted that the
fibrous structures shorter than 5 |im behave more like particles rather than fibers, at least in
terms of lung deposition and clearance patterns. Finally, two panelists indicated that an ATSDR
expert panel recently evaluated the issue of relative potency of fibers shorter than 5 |im;
however, the final report from that expert panel meeting was not available until after the peer
consultation workshop. The final report has since been released, and a conclusion from that
panel was that "there is a strong weight of evidence that asbestos and synthetic vitreous fibers
shorter than 5 |im are unlikely to cause cancer in humans" (ERG 2003).
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# Statistical analyses in the proposed protocol. As indirect evidence that longer fibers have
greater carcinogenic potency, one panelist indicated that the exposure-response modeling by
Drs. Berman and Crump showed an improved fit to the observed relative risk from
epidemiology studies when using an exposure index that assigns greater weight to longer fibers
and no risk to fibers shorter than 5 |im. Another panelist concurred, but added that the authors
could have attempted to determine the specific weighting (i.e., between longer and shorter
fibers) that would optimize the fit to the epidemiological studies.
3.1.4 Lung Cancer and Fiber Dimension: Inferences from Animal Toxicology and
Mechanistic Studies
The panelists generally agreed that the animal toxicology studies and mechanistic studies indicate that
fiber dimension—especially fiber length—plays an important role, both in terms of dosimetry and
pathogenesis. However, panelists had differing opinions on the specific cut-offs that should be used for
fiber diameters and lengths in the exposure-response modeling (though panelists generally concurred
that fibers shorter than 5 |im should be assigned zero potency).
#	Fiber length. Multiple panelists noted that the animal toxicology studies provide compelling
evidence that lung cancer potency increases with fiber length. Another panelist agreed, but had
reservations about assigning no potency to fibrous structures shorter than 5 |im, based on a
recent study of refractory ceramic fibers (Bellman et al. 2001) that found that the incidence of
inflammation and fibrosis appears to be related to the presence of small fibers in the lung. This
panelist indicated that exposure to small fibers likely has some bearing on the oxidative stress
state and inflammation in the lung, and he suspected that the exposure-response relationship for
long fibers might depend on co-exposures or past exposures to shorter fibers. Based on these
observations, the panelist was hesitant to exclude fibrous structures shorter than 5 |im from the
proposed risk assessment methodology. On the other hand, another panelist added that animal
toxicology studies have shown that fibrosis endpoints are strongly related to fiber length, with
exposures to shorter fibers showing less evidence of fibrosis or lung damage. The panelists
revisited the significance of fibers shorter than 5 |im when discussing the proposed exposure
index (see Section 4).
#	Fiber diameter. The panelists offered several comments on the role of fiber diameter in the
proposed protocol. Noting that fibers with diameters up to 1.5 |im are capable of penetrating to
sensitive portions of the lung during oral inhalation, one panelist indicated that this range of fiber
diameters should not be excluded from future risk assessments. Other panelists shared the
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concern of assigning no lung cancer potency to respirable fibers with diameters greater than 0.5
|im, especially considering that respirability patterns in laboratory animals differ from those in
humans (i.e., thicker fibers are more likely to deposit in the human lung than they are in the rat
lung).
The panelists also discussed a statement in the proposed protocol that "few fibers thicker than
0.7 |im appear to reach the deep lung." First, one panelist indicated that the proposed protocol
includes outdated information on fiber deposition patterns; he recommended that the authors
obtain more current insights from specific publications (e.g., Lippmann 1994) and from the latest
lung dosimetry model developed by the International Commission on Radiological Protection.
Second, another panelist questioned the relevance of deposition in the deep lung, because
humans tend to develop bronchogenic carcinomas, while rats develop bronchoalveolar
carcinomas. Another panelist cautioned against inferring that asbestos fibers must deposit on
bronchial airways to cause lung cancer in humans, noting that significant accumulation of
asbestos fibers does not occur in the airways where carcinomas develop in humans, due
primarily to mucociliary clearance; this panelist suspected that deposition of fibers in the deep
lung is likely related to lung cancer formation in humans, though the mechanisms of
carcinogenesis are not fully understood.
3.1.5 Other Issues Related to Lung Cancer
The panelists discussed several additional issues related to the proposed protocol's evaluation of lung
cancer potency. Most of the discussion focused on the utility of non-linear exposure-response
modeling, but other topics were also addressed:
# Consideration of non-linear exposure-response models. The panelists had differing
opinions on the extent to which the proposed protocol should consider non-linear exposure-
response modeling. On the one hand, one panelist strongly recommended that EPA consider
exploring the applicability of non-linear exposure-response models, given his concerns with
linear low-exposure extrapolation. This panelist acknowledged that the revised linear model in
the proposed protocol clearly provides an improved statistical fit to the epidemiological data
when compared to EPA's 1986 lung cancer model, but he advocated more detailed exploration
of non-linear cancer risk models, particularly to account for observations of cohorts with low
exposures. This panelist was particularly concerned about the cancer risks that would be
predicted for low exposures: because the slope in any linear lung cancer model will be
determined largely by highly-exposed individuals, he questioned whether the slope derived from
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high exposures truly applies to lowly-exposed individuals. To demonstrate his concern, this
panelist indicated that the epidemiological studies consistently show that cohorts (or subsets of
cohorts) with low exposure generally exhibit no increased lung cancer risk (standardized
mortality ratios not statistically different from 1.0). To account for the possibility of a threshold
or non-linearity in the exposure-response relationship, this panelist recommended that EPA
investigate alternate exposure-response models, such as linear-linear models (i.e., models with
two linear exposure-response regions having different slopes) or log-linear models.
Other panelists generally supported these comments. One panelist, for instance, noted that
EPA's Draft Revised Guidelines for Carcinogen Risk Assessment indicates that exposure-
response relationships should first be evaluated over the range of exposure observations, and
then various approaches to extrapolate to exposure levels outside (i.e., below) this range should
be investigated. Another panelist added that some studies finding no evidence of lung cancer
risks among large cohorts with low exposures should factor into the decision of whether the lung
cancer model should include thresholds; he cited a study of non-occupationally exposed women
from chrysotile mining regions in Canada (Camus et al. 1998) to illustrate his concern. Other
panelists noted that the utility of this study is limited, because exposures were not measured for
individuals; further, a panelist clarified that approximately 5% of the individuals considered in this
study were occupationally exposed. Finally, one panelist indicated that evidence from the
epidemiology literature strongly suggests there are asbestos exposure levels below which lung
cancer will not occur; this panelist added that he is unaware of any epidemiological study that
has found evidence of lung cancer risk at exposure levels below 25 fiber-years. He
recommended that the proposed protocol at least acknowledge the lowest exposure level at
which lung cancer effects have been demonstrated.
On the other hand, some panelists were not convinced of the utility of conducting detailed
analyses at low exposures and investigating possible thresholds. One panelist, for instance,
indicated that a meaningful quantitative analysis of potential thresholds will not be possible, so
long as the authors do not have access to raw data from additional epidemiological studies.
Further, this panelist suspected that the protocol authors would find considerable heterogeneity
among exposure-response slopes for low exposures, and he questioned what conclusions could
be drawn by focusing exclusively on the low exposure region. Another panelist agreed, adding
that the failure to find significantly increased cancer risks among lowly-exposed cohorts very
likely results from poor statistical power and other uncertainties, and not necessarily from the
presence of an actual exposure threshold for asbestos-related lung cancer. Finally, one panelist
indicated that the National Institute for Occupational Safety and Health (NIOSH) previously
examined a threshold model for the cohort of South Carolina textile workers, and that analysis
revealed that the best fit of the exposure-response data was a threshold of zero (i.e., the best fit
indicated that there was no threshold).
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#	Consideration of cigarette smoking. Several times during the workshop, the panelists
debated the ability of the proposed risk assessment model to address interactions between
cigarette smoking and asbestos exposure. One panelist recommended that the authors review a
recent study that examined the role of cigarette smoking on lung cancer among chrysotile miners
and millers in Quebec, Canada (Liddell and Armstrong 2002). Although the panelists generally
agreed that smoking is an important consideration for developing and applying the model, some
panelists were not convinced that the available data are sufficient to develop an exposure-
response model that accurately portrays the interactive effects of asbestos exposure and
smoking. The panelists further discussed this issue further later in the workshop.
#	Transparency of the proposed protocol Several panelists indicated that the review of
epidemiological data in the proposed protocol is not presented in a transparent fashion. One
panelist, for instance, sought more information on the uncertainty factors used in the meta-
analysis, such as what ranges of factors were considered, what criteria were used to assign the
factors, and a table of the factors that were eventually applied. This panelist also recommended
that the proposed protocol identify the a-values that were determined for each epidemiological
study and provide explanations for any cases when these values are unexpectedly large. Another
panelist indicated that the proposed protocol should more clearly differentiate conclusions that
are based on a meta-analysis of many epidemiological studies from conclusions that are based
on a detailed review of just one or two studies.
#	The need to obtain additional raw data sets. The panelists unanimously agreed that EPA
should make every effort to try to obtain additional raw data sets for the epidemiology studies,
such that the authors can further test how adequately the proposed risk assessment model
predicts risk. The executive summary of this report presents the panelists' specific
recommendation on this issue.
3.2 Mesothelioma
The following paragraphs document the panelists' responses to charge questions regarding inferences
from the epidemiology and toxicology literature on how mesothelioma potency varies with fiber type
(Sections 3.2.1 and 3.2.2) and fiber length (3.2.3 and 3.2.4).
3.2.1 Mesothelioma and Fiber Type: Inferences from the Epidemiology Literature
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The expert panelists unanimously agreed that the epidemiology literature provides compelling evidence
that amphibole fibers have far greater mesothelioma potency than do chrysotile fibers—a finding
reported both in the review document (Berman and Crump 2001) and a recent re-analysis of 17 cohort
studies (Hodgson and Darnton 2000) that reported at least a 500-fold difference in potency. Two
panelists commented further that the epidemiology literature provides no scientific support for chrysotile
exposures having a role in causation of mesothelioma—an observation that is generally consistent with
the meta-analysis in the proposed protocol, which failed to reject the hypothesis that chrysotile fibers
have zero potency for mesothelioma.
The most notable response to this charge question was the agreement among most panelists that
amphibole fibers are at least 500 times more potent than chrysotile fibers for mesothelioma, as
supported by two separate reviews of epidemiological studies. The panelists made additional comments
on specific matters when responding to this question, as summarized below, but the key point in this
discussion was the agreement that chrysotile is a far less important cause of mesothelioma than are
amphiboles.
#	Relative roles of chrysotile and amphibole. One panelist indicated that cohort studies with
individual-level exposure-response data and the broader epidemiology literature both provide no
evidence of increased mesothelioma risk due to chrysotile exposure. Further, this panelist noted
that 33 of 41 mesothelioma cases previously identified as occurring among workers primarily
exposed to chrysotile fibers (Stayner et al. 1996) were later reported as likely resulting from
exposures to tremolite fibers found in the chrysotile mines (McDonald et al. 1997). This panelist
noted that a recent finding of a small mesothelioma risk from chrysotile (Hodgson and Darnton
2000) results entirely on the assumption that the 33 mesothelioma cases mentioned above result
entirely from chrysotile exposures. Based on these observations, this panelist indicated that the
literature suggests that chrysotile exposures have limited, if any, role in causing mesothelioma. He
nonetheless supported the relative potency attributed to chrysotile in the proposed protocol as a
conservative measure in the overall risk assessment process.
#	Specific comments on the Connecticut friction products workers. Another panelist
commented on an epidemiological study of a cohort of workers employed at a friction products
plant in Connecticut. The panelist noted that the original study (McDonald et al. 1984) did not
identify any deaths from mesothelioma, but review of the state cancer registry (Teta et al. 1983)
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revealed that three Connecticut residents who died of mesothelioma were employed by the
same friction products company. One of these employees had amphibole exposures during the
time he worked for a textile plant that was under the same parent company that owned and
operated the friction products plant. The other two cases, the panelist noted, were females who
indeed worked at the friction products plant. A pathology review found that one of these cases
was a woman with probable pleural mesothelioma and 5 years of exposure; the other case was
a peritoneal mesothelioma in a woman who also had asbestosis, and worked as a clerk for 30
years. This panelist noted that it was questionable to attribute the latter two mesothelioma
diagnoses to the chrysotile exposures at the friction products plant, though she added that this
possibility cannot be definitively ruled out. This panelist encouraged that future review of this
epidemiological study should be revised given this new information.
# Comments on the proposed 500-fold difference in relative potency. The panelists had
several comments on the finding in the proposed risk assessment methodology that amphibole
fibers are 500 times more potent for mesothelioma than are chrysotile fibers. Several panelists
noted that this finding is consistent with that of a recent re-analyses of 17 epidemiological studies
(Hodgson and Darnton 2000). Though not disagreeing that amphibole fibers are clearly more
potent, one panelist was concerned that the risk coefficients (KM) were largely derived from
data sets with inadequate exposure-response information for mesothelioma, and assumptions
had to be made to determine critical inputs to the mesothelioma model (e.g., average exposure,
duration of exposure).
Other panelists commented on specific sections in the proposed protocol. One panelist, for
example, recommended that the authors check the accuracy of data presented in Table 6-16
and Table 6-29 of the report, which are not reported consistently. Another panelist suggested
that the authors better explain why separate risk coefficients for amphiboles and chrysotile were
calculated for some cohorts (e.g., Hughes et al. 1987) but not for others (e.g., Berry and
Newhouse 1983), even though the exposure information available for the studies appears to be
comparable. Finally, one panelist recommended that the authors of the proposed protocol
consider questions recently raised (Rogers and Major 2002) about the quality of the exposure
data originally reported for the Wittenoom cohort (De Klerk et al. 1989) when evaluating
exposure-response relationships for mesothelioma.
3.2.2 Mesothelioma and Fiber Type: Inferences from Animal Toxicology and
Mechanistic Studies
The panelists discussed the inferences provided by animal toxicology data and mechanistic data
regarding relative mesothelioma potency of different asbestos fiber types. Overall, two panelists
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commented that the human epidemiological data clearly establish that exposures to amphibole asbestos
fibers pose a greater mesothelioma risk than do exposures to chrysotile fibers. They added that the
animal toxicology data are generally supportive of this finding, but the animal data suffer from some
limitations. Two panelists, for instance, noted that the utility of animal toxicology studies is limited by the
fact that rodents are rather insensitive to mesothelioma. These panelists added that the animal
toxicology studies involving intra-tracheal instillation or peritoneal injection are not directly relevant to
the inhalation exposures that occur in humans. These limitations notwithstanding, the panelists raised the
following points when discussing the animal toxicology and mechanistic studies:
One panelist referred to one of his earlier publications (Lippmann 1994) for further insights on the
occurrence of mesothelioma in animal studies. At that time, this panelist noted, the animal inhalation
studies found fewer than 10 cases of mesothelioma, and the number of cases appeared to be greatest
among animals that were exposed to mixtures containing higher proportions of amphibole fibers. He
found this consistent with the influence of fiber type observed in the human epidemiological data (see
Section 3.2.1).
During this discussion, one panelist reviewed a publication (Suzuki and Yuen 2001) that was mentioned
earlier in the workshop. The publication documents the amounts and types of asbestos fibers measured
in samples of pleural plaques and tumor tissue collected for legal cases. These analyses reportedly
found relatively large amounts of short, thin chrysotile fibers in the pleura, suggesting that these fibers
should not be excluded from the group of fibers believed to induce mesothelioma. The panelist had
several criticisms of the study. First, he indicated that the samples were analyzed using a non-standard
technique, without any controls. Second, he questioned the major finding of fibers being detected in the
pleura, because most of the samples analyzed were actually tumor tissue, in which he would not expect
to find fibers. The panelist suspected that the chrysotile fibers reportedly found in the study likely result
from specimen contamination—a bias that would have been more apparent had rigorous quality control
procedures been followed. Finally, the panelist noted that a more rigorous study (Boutin et al. 1996) of
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asbestos fibers in the parietal pleura found a mixture of fibers, including long amphibole fibers, among
living patients with asbestos-related conditions. Based on these concerns, the panelist concluded that
the publication of concern (Suzuki and Yuen 2001) is seriously flawed and its recommended should be
excluded from EPA's analyses.
A specific issue raised regarding the analytical technique in the study (Suzuki and Yuen 2001) was that
water was used during the digestion process. Noting that water may contain large amounts (>30,000
fibers/L) of small asbestos fibers, another panelist suspected that the fibers detected in the study might
have resulted from contamination introduced during the digestion process. Because control samples
were not analyzed, the panelist said the study offers no evidence that the fibers detected truly were in
the original pleural plaques or tumor tissues. He added that studies of lung-retained asbestos fibers
routinely detect primarily short, chrysotile fibers, and that the presence of the short fibers in the pleural
tissue—even if the measurements from the study are valid—would not necessarily prove that short
fibers cause mesothelioma.
3.2.3 Mesothelioma and Fiber Dimension: Inferences from the Epidemiology
Literature
The panelists commented briefly on how the human epidemiological data characterize the role of fiber
size on mesothelioma risk. Noting that exposure measurements in most every epidemiological study do
not characterize fiber length distribution, one panelist indicated that these studies provide no direct
evidence of how fiber length is related to mesothelioma. He added that the studies offer conflicting
indirect evidence of the role of fiber length. Specifically, the higher mesothelioma risk coefficient among
textile workers in South Carolina, when compared to that for the chrysotile miners and millers in
Quebec, could be supportive of longer fibers being more potent, since exposures in South Carolina had
a larger percentage of long fibers. However, a cohort of cement plant workers in New Orleans was
found to have a higher mesothelioma risk coefficient than that of the South Carolina cohort, even though
the South Carolina workers were exposed to higher percentages of long fibers. Finally, as indirect
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evidence that carcinogenic potency increases with fiber length, this panelist noted that the mesothelioma
risk model using the proposed exposure index, which is heavily weighted by long fibers, provided a
considerably improved fit to the epidemiological data.
The panelists briefly revisited the inferences that can be drawn from studies of lung-retained fibers. One
panelist again commented that results from a recent study (Suzuki and Yuen 2001) should be viewed
with caution. He added that several other lung pathology studies (e.g., McDonald et al. 1989, Rogers et
al. 1991, Rodelsperger et al. 1999) have been conducted using more rigorous methods, such as using
appropriate controls for age, sex, and hospital. These studies all showed that risk of mesothelioma was
considerably higher for individuals with larger amounts of long fibers retained in their lungs.
One panelist indicated that results from a study of lung-retained fibers (Timbrell et al. 1988) suggest
fiber diameter plays a rule in mesothelioma risk: the study observed no mesothelioma cases among a
population highly exposed to anthophyllite fibers, which tend to be thicker fibers. Citing his earlier
review of mesothelioma cases (Lippmann 1988), the panelist also noted that crocidolite fibers are both
thinner than and more potent than amosite fibers, which further supports the hypothesis that
carcinogenic potency for asbestos decreases with increasing fiber diameter.
3.2.4 Mesothelioma and Fiber Dimension: Inferences from Animal Toxicology and
Mechanistic Studies
The panelists made few observations on findings from animal toxicology studies regarding mesothelioma
and fiber length. One panelist indicated that findings from the animal toxicology studies generally
support the overall finding that mesothelioma risks are greatest for long, thin fibers. However, another
panelist noted that his earlier review of mesothelioma risks (Lippmann 1988) hypothesized that the
critical fibers for mesothelioma induction are those with lengths between 5 and 10 |im. This panelist
added that fibers of this dimension are more likely to translocate to the pleura than are longer fibers, but
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he acknowledged that it is unclear whether fibers must first translocate to the pleura in order to cause
mesothelioma.
Some panelists indicated that fiber durability likely plays a role in inducing mesothelioma, based on the
fact that mesothelioma is more easily induced in animals using administration methods (e.g., peritoneal
injection) that remove the importance of dissolution.
3.3 Exposure Estimates in the Epidemiology Literature
The panelists raised numerous issues when responding to the third charge question: "To what extent are
the exposure estimates documented in the asbestos epidemiology literature reliable?" Recognizing that
the exposure estimates from the epidemiology studies are critical inputs to the exposure-response
assessment, the panelists expressed concern about the exposure data: few studies provide detailed
information on fiber size distribution; many studies report exposures using outdated sampling and
analytical methodologies (e.g., midget impinger); individual-level data are not available for most studies;
and many studies do not report detailed information on parameters (e.g., exposure levels, exposure
duration) needed to evaluate exposure-response relationships, particularly for mesothelioma. Their
specific concerns on these and other matters follow:
# Concerns regarding exposure estimates in specific studies. Some panelists expressed
concern about the assumptions made to interpret the exposure data originally reported in the
epidemiology studies. One panelist reviewed specific examples of these concerns:
~	The original study of workers at a Connecticut friction products plant (McDonald et al.
1984) reports exposures measured by midget impingers (in units of mmpcf), with no
information on how to convert this to PCM measurements, and the original publication
includes limited data on exposure duration.
~	The original study of workers at a New Jersey insulation factory (Seidman et al. 1986)
did not report any exposure measurements from the factory studied, and data collected
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from another plant with similar operations were used to characterize exposure-response
for this cohort.
~	The original study of workers at a Texas insulation factory (Levin et al. 1998) reported
a range of exposure levels (15-91 fibers/mL), and the authors of the proposed protocol
assigned an average exposure level (45 fibers/mL) to the entire cohort.
~	The original study of U.S. insulation applicators (Selikoff and Seidman 1991) has no
information on exposure. The proposed protocol assumes that all workers were
exposed to 15 fibers/mL for 25 years, based on a separate review of exposures among
insulation workers (Nicholson 1976).
~	The original study of retirees from the U.S. Asbestos Products Company (Enterline et
al. 1986) reported exposures based on midget impinger sampling, with no information
on how to convert these exposures to PCM measurements.
~	According to a recent letter to the editor (Rogers and Major 2002), the original study
of the Wittenoom cohort (De Klerk et al. 1989) might have overestimated exposures,
possibly by as much as a factor of 10.
The previous comments led to a discussion on whether certain studies should be excluded from
the meta-analysis used in the proposed protocol (see next bulleted item). Prior to this discussion,
one panelist expressed concern about being overly critical of the exposure estimates used for
many of the studies listed above; he emphasized that all exposure estimates appear to be based
on a critical review of the literature, and no estimates are completely arbitrary, as some of the
panelists' comments implied.
# Comments on using study inclusion criteria for the meta analysis. Given the concerns
about the quality of exposure data reported in some epidemiology studies, the panelists debated
whether future revisions of the proposed protocol should exclude certain studies from the
exposure-response analysis. The panelists were divided on this matter.
On the one hand, several panelists recommended that the authors develop and apply study
inclusion criteria in the exposure-response evaluation, as is commonly done when conducting a
meta-analysis. One panelist, for instance, recommended assessing exposure-response
relationships for only those studies found to have adequate exposure data, and then using a
sensitivity analysis to examine the effect of excluding studies with inadequate exposure data.
These panelists clarified that they are not advocating disregarding the majority of studies; rather,
they are suggesting simply that the authors of the proposed protocol use study inclusion criteria
and sensitivity analyses to ensure that the conclusions are based on the best available exposure
data.
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On the other hand, several panelists supported the current approach of using as many studies as
possible and accounting for the quality of the exposure measurements in the uncertainty factors.
One panelist, for example, commended the authors for being as inclusive as possible when
reviewing the studies; he supported the approach of recognizing the limitations of the available
exposure data and accounting for these limitations in the uncertainty factors that were ultimately
used to weight the studies in the meta-analysis. This panelist acknowledged that the exposure
estimates in some of the epidemiological studies might be rough estimates, but he emphasized
that the estimates are not worthless and should not be discarded. Other panelists concurred with
these comments, and did not support applying overly restrictive study inclusion criteria.
# Comments on the uncertainty factors assigned to each study. The panelists made several
comments on the uncertainty factors that the authors assigned to each study. Dr. Berman first
explained the four uncertainty factors: the first factor (Fl) characterizes the confidence in
exposure estimates; the second factor (F2) represents the confidence in the conversion to PCM
measurements from other exposure metrics (typically midget impinger analyses); the third factor
(F3) characterizes the confidence the authors had on worker history data; and the fourth factor
(F4) was a non-exposure related factor to account for other uncertainties (e.g., lack of
information on confounders, incomplete or inaccurate mortality ascertainment). Dr. Berman
described generally how the individual uncertainty factors were assigned and noted that each
factor could range from 1 to 5.
The panelists' comments primarily focused on the transparency of how uncertainty factors were
presented and incorporated into the meta-analysis. Multiple panelists, for instance,
recommended that future revisions to the proposed protocol include a table that lists the
uncertainty factors assigned to each study. Further, one panelist suggested that the revised
protocol describe the assumptions inherent in the uncertainty factor weighting approach, such as
explaining why some factors are assigned values over a broader range than others (e.g., why Fl
values span a broader range than F4 values) and describing why the individual uncertainty
factors have equal weights in generating the composite uncertainty factor. Another panelist
agreed, and added that the revised protocol should more explicitly describe how the uncertainty
factors were combined into the composite factor and how this composite factors affects the
weighting of studies in the meta-analysis. Expanding on this point, another panelist suggested that
the final document more clearly explain that the final estimates of cancer risk coefficients (KL*
and Km*) are actually weighted averages of the epidemiological studies, with the weights
assigned to each study being a function of that study's uncertainty. This panelist also
recommended that the revised document clearly state how, if at all, the fraction of amphibole
fibers and the fraction of fibers longer than 10 |im are reflected in the uncertainty factors.
Some panelists debated the utility of alternate approaches that could be used to assign
uncertainty factors. Two panelists noted that the approach used to assigning uncertainty factors
is somewhat subjective, because different groups of analysts would likely assign different
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uncertainty factors. To avoid the appearance of arbitrariness, these panelists suggested using
alternate meta-analysis approaches that do not require using uncertainty factors. They noted, for
example, that the authors could use a random effects model in which residual inter-study
variation is estimated. Another suggestion was to conduct sensitivity analyses examining the
effects of including or excluding studies, depending on the uncertainty factors assigned to them.
Another panelist disagreed with these comments and supported the analyses in the proposed
protocol; this panelist indicated that the authors had no choice but to make judgments based on
the information documented in the epidemiology literature. He suggested that EPA consider
convening a separate expert panel to assign uncertainty factors, if panelists do not support those
selected by Drs. Berman and Crump.
#	Assumptions made to convert exposure estimates from midget impinger sampling.
Several panelists noted that the original publications for many epidemiology studies document
exposure estimates based only on midget impinger sampling and do not include any information
on how to convert these exposures to levels that would be measured by more modern methods
(e.g., PCM, TEM). The panelists noted that the conversion factor (from mmpcf to fibers/mL)
can vary considerably from one occupational setting to the next.
#	Interpretations of the study of South Carolina textile workers. The panelists had different
opinions on interpretations of the study of South Carolina textile workers (Dement et al. 1994).
One panelist, for instance, found this particular study to be an outlier among the other
epidemiological studies, and he recommended that the authors exclude this study from the
exposure-response analysis until the causes for the increased relative risks observed for this
cohort are better understood. Another panelist suggested that the proposed protocol should
classify the South Carolina cohort as being exposed to mixed asbestos fibers, rather than being
exposed to chrysotile fibers. He indicated that some workers in the cohort were exposed to
amosite and crocidolite, in addition to being exposed to chrysotile.1
Other panelists, however, did not think the South Carolina study should be excluded from
EPA's analysis. One panelist was troubled about criticisms of the exposure estimates for this
cohort, given that this is one of few studies in which co-located samples were collected and
analyzed using different methods, thus providing site-specific data for converting midget impinger
1 After reviewing a draft of this report, one panelist indicated that it is important to note that exposure data
for the South Carolina cohort are available from more than just one reference (Dement et al. 1994). He suggested that
EPA use data from studies conducted by McDonald in the 1980s of a parallel cohort in the same plant. However, he
cautioned EPA against treating multiple studies of the same relatively small group of workers as separate studies,
considering the large overlap of workers studied by the two groups of investigators. This panelist encouraged EPA
to consider other data sources for this cohort, given that a recent re-analysis of epidemiological studies (Hodgson
and Darnton 2000) severely criticized the data source EPA uses (Dement et al. 1994), to the point of those data being
dropped from the recent re-analysis altogether.
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sampling results to PCM measurements. Another panelist challenged suggestions that the South
Carolina study is an outlier; he indicated that the South Carolina study is one of the more
rigorous epidemiology studies available for asbestos exposures, and he found no valid scientific
reasons for discarding it. During this discussion, one panelist point out in response that the South
Carolina study is indeed an outlier among the textile cohorts, with a slope which is higher than
either of the two textile cohorts; this panelist did acknowledge that the lung cancer risk among
the textile cohorts is greater than that among the mining cohorts. This panelist added that
scientists need a better explanation for why the lung cancer risk among the South Carolina
cohort is greater than that of other cohorts before the South Carolina study can achieve
credibility, especially considering that exposures in South Carolina were supposedly to "pure"
chrysotile.
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4. COMMENTS ON TOPIC AREA 2: THE PROPOSED EXPOSURE INDEX
This section summarizes the panelists' responses to the charge questions pertaining to the proposed
exposure index. Section 4.1, 4.2, and 4.3 document the panelists' responses to charge questions 4, 5,
and 6, respectively.
4.1 Responses to Charge Question 4
Charge question 4 asks: "The proposed exposure index does not include contributions from fibers
shorter than 5 |im. Please comment on whether the epidemiology and toxicology literature support the
conclusion that asbestos fibers shorter than 5 |im present little or no carcinogenic risk." The panelists
discussed this matter earlier in the workshop (see Sections 3.1.3 and 3.1.4 for these comments), and
provided additional insights on the matter. Overall, the panelists agreed that carcinogenic potency
increases with fiber length, particularly for lung cancer. Most panelists supported assigning no potency
to fibrous structures smaller than 5 |im. Some panelists agreed that the short fibrous structures are
clearly less potent than long fibers, but they had reservations about assigning zero potency to the
structures smaller than 5 |im; these panelists acknowledged that the toxicity of the short fibrous
structures might be adequately addressed by EPA's air quality standards for particulate matter. Specific
comments on this charge question follow:
#	Reference to ATSDR's expert panel workshop on the role offiber length. Two panelists
noted that ATSDR convened an expert panel in October 2002 to discuss the role of fiber length
on toxicity, and much of that discussion specifically addressed fibrous structures smaller than 5
|im, A main conclusion of that panel was that there is "a strong weight of evidence that asbestos
and synthetic vitreous fibers shorter than 5 |im are unlikely to cause cancer in humans" (ERG
2003). The panelists encouraged EPA to review the summary report prepared for that
workshop, which was officially released on March 17, 2003, and is available on-line at:
www. atsdr. cdc.gov/HAC/asbestospanel.
#	Evidence from epidemiological studies. One panelist indicated that the epidemiological
studies do not provide direct evidence of the role of fibrous structures shorter than 5 |im.
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However, the panelist indicated that a growing body of evidence suggests that the cohorts
predominantly exposed to shorter fibers (e.g., friction brake workers, gold miners, taconite
miners) do not have statistically significant increased cancer risks. This panelist added that the
mechanistic studies provide the strongest evidence for assigning no potency to fibrous structures
(see next bulleted item). Another panelist agreed with these statements, and added that his
interpretation of data compiled by the National Cancer Institute provide additional indirect
evidence of short fibrous structures presenting little or no carcinogenic risk (see page 102 of the
premeeting comments in Appendix B).
The panelists briefly revisited the findings from a recent publication (Suzuki and Yuen 2001) that
reported finding relatively large amounts of short, thin chrysotile fibers in malignant mesothelioma
tissue. Several panelists encouraged that these findings not be considered in the risk assessment
methodology for reasons cited earlier in the workshop (see Section 3.2.2).
#	Evidence from mechanistic studies. The panelists offered different interpretations of
mechanistic studies. One panelist indicated that mechanistic studies have shown that shorter
fibers are cleared more readily than long fibers from the alveolar region of the lung by
phagocytosis, and therefore provide supporting evidence that short fibers play little or no role in
carcinogenic risk. This panelist acknowledged that extremely high doses of particular matter and
other non-fibrous structures can generate biological responses (e.g., inflammation), but he
doubted that such "overload" conditions would be relevant to the environmental exposures that
the proposed protocol will be used to evaluate.
Another panelist agreed that long fibers are clearly more potent than short fibrous structures, but
he questioned the conclusion that short fibrous structures have no impact on carcinogenic risk.
This panelist noted that mechanistic studies have demonstrated that short fibrous structures and
spherical particles, like silica, can elicit the same toxic responses (e.g., generate reactive species,
stimulate proliferative factors) identified for asbestos fibers. This panelist added, referring to his
premeeting comments, that exposure to short fibers could cause inflammation and generation of
oxidative species that might increase the response to long fibers (see Bellman et al. 2001).
Overall, this panelist acknowledged that long fibers are more persistent than short fibers in the
lung and should be weighted more heavily in the exposure index, but he was hesitant to assign
the short fibrous structures zero potency.
#	Implications on sampling and analytical methods. One panelist commented on the
practical implications, from a sampling perspective, of any changes to the exposure index. This
panelist indicated that measuring all fibers (including structures shorter than 5 |im) in
environmental samples would not only be expensive, but also would compromise the sensitivity
of measuring the longer fibers that are most predictive of cancer risk. This panelist
acknowledged that human exposure is predominantly to fibrous structures less than 5 |im, but he
noted that the amounts of short fibrous structures retained by the lung tend to be very strongly
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correlated with the amounts of long fibers retained by the lung. Due to this correlation, this
panelist noted that measuring long fibers with sufficient accuracy would allow one to estimate
amounts of short fibrous structures in a sample. This panelist added, however, that he sees no
benefit of characterizing exposures to fibrous structures smaller than 5 |im, given the conclusion
that such fibers do not cause cancer (ERG 2003).
4.2 Responses to Charge Question 5
Charge question 5 asks: "The proposed exposure index is weighed heavily by fibers longer than 10 |im.
Specifically, Equation 7.13 suggests that the carcinogenic potency of fibers longer than 10 |im is more
than 300 times greater than that of fibers with lengths between 5 and 10 |im. How consistent is this
difference in carcinogenic potency with the epidemiology and toxicology literature?" The panelists'
responses to this question follow:
#	Consistency with epidemiological literature. The panelists noted that the original
epidemiology studies did not collect exposure information that provides direct evidence of the
relative potency assigned to the two different fiber length categories: fibers longer than 10 |im,
and fibers with lengths between 5 and 10 |im. During this discussion, one panelist recommended
that EPA consider the results of a case-control study (Rogers et al. 1991) that suggests that
mesothelioma risks are greater for individuals with larger amounts of the shorter fibers (i.e.,
between 5 and 10 |im) retained in their lungs. Another panelist was not convinced of the findings
from this study, due to possible biases from selection of controls not matched for hospital of
origin. This panelist encouraged EPA to refer to more rigorous lung-retained fiber studies (e.g.,
McDonald et al. 1989, Rodelsperger et al. 1999) that have found that the majority of cancer
risk for mesothelioma is attributed to exposures to longer fibers, even when measurements of
short fibers are taken into account.
#	Questions about the fiber length-dependence used for mesothelioma. Some panelists
were not convinced that the relative potencies assigned to different fiber lengths were
appropriate for mesothelioma. One panelist, for instance, noted that his previous review of the
literature (Lippmann 1994) suggests that cancer risk for mesothelioma is most closely associated
with exposure to fibers between 5 and 10 |im long. He indicated that this assessment is
consistent with other human lung evaluations (e.g., Timbrell et al. 1988), which have reported
that fibers retained by the lung tend to be longer than fibers that translocate to the pleura. This
panelist added that the epidemiology literature clearly suggests that lung cancer and
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mesothelioma have different risk factors, as the relative amounts of lung cancer and
mesothelioma cases vary considerably from one cohort to the next. Based on these concerns,
this panelist suggested that EPA consider developing separate fiber length weighting schemes for
lung cancer and mesothelioma.
Another panelist indicated that the epidemiology studies provide indirect evidence that
carcinogenic potency appears to increase with fiber length. Specifically, he noted that the studies
consistently show that mesothelioma has a very long latency period—a trend that suggests that
the most durable fibers (i.e., the longer fibers) are the most potent. The panelist added that the
analyses in the proposed protocol provide further indirect evidence of mesothelioma risks
increasing with fiber length: when the exposure index was used in the mesothelioma model, the
proposed risk assessment methodology generated an improved fit to the epidemiological data.
During this discussion, a panelist cautioned about inferring that only those fibers that reach the
pleura are capable of causing mesothelioma, because researchers have not determined the exact
mechanisms by which mesothelioma is induced. Further, he cautioned about inferring too much
from a single study (Timbrell et al. 1988), given that many additional studies are available on
lung-retained fibers.
#	Questions about the relevance of animal toxicology data. Some panelists expressed
concern about basing the proposed weighting factors for different fiber lengths on observations
from animal data. First, one panelist noted that the weighting factors were derived strictly based
on lung cancers observed in laboratory animals, and he questioned whether one can assume that
the weighting factors can be defensibly applied to mesothelioma. Second, other panelists noted
that extrapolating the weighting factors from rodents to humans also involves uncertainty, due to
inter-species differences in respiratory anatomy, macrophage sizes, and sites of lung cancers.
#	Suggested follow-up analyses. Given the concerns about basing the proposed exposure index
entirely on data from animal toxicology studies, two panelists recommended that EPA attempt to
optimize the weighting factors applied to different fiber length categories using the available
human epidemiological data. One panelist suggested that this optimization could be performed
using the data compiled in Table 6-15 in the proposed protocol, which presents estimates of the
fiber length distribution for different occupational cohorts. A panelist also suggested that EPA
consider deriving separate weighting factors for lung cancer and mesothelioma, rather than
assuming the same fiber length dependence for both outcomes.
4.3 Responses to Charge Question 6
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Charge question 6 asks: "Please explain whether the proposed exposure index will allow meaningful
comparisons between current environmental exposures to asbestos and historical exposures to asbestos
that occurred in the work place." The panelists discussed several topics when addressing the question,
because some panelists had different impressions of what the question was asking. Some panelists
viewed the question as asking about the validity of low-dose linear extrapolations (see Section 3.1.5 for
more information on this topic), and others viewed the question as asking about whether the proposed
methodology is an improvement over EPA's current risk assessment model. A summary of the
panelists' specific responses follows:
#	Is the proposed exposure index an improvement to asbestos risk assessment? When
answering this charge question, multiple panelists focused on whether the proposed exposure
index is an improvement over EPA's 1986 asbestos risk models. These panelists agreed that the
proposed approach is more consistent with the overall literature on health risks from asbestos,
which show that cancer risks vary with fiber type and fiber dimension. Two panelists were
hesitant to call the proposed approach an improvement for evaluating mesothelioma risks,
because the fiber length weighting factors are based entirely on lung cancer data in animals.
These panelists were particularly concerned that the proposed methodology might assign lower
risks for mesothelioma in certain circumstances, because the fiber-length dependence in the
methodology is not based on any toxicological or epidemiological studies of mesothelioma.
#	Does the proposed risk assessment model support extrapolation from occupational
exposures to environmental exposures? Some panelists commented on the applicability of
the proposed risk assessment model to exposure doses below the ranges considered in the
occupational studies. Referring to observer comments provided earlier in the workshop, two
panelists indicated that some environmental exposures in areas with naturally-occurring asbestos
do not appear to be considerably lower than those experienced by occupational cohorts.
Another panelist agreed, and cautioned about distinguishing environmental exposures from
occupational exposures; he instead encouraged EPA and the panelists to focus on the exposure
magnitude, regardless of whether it was experienced in an occupational or environmental setting.
One panelist recommended that EPA investigate how cancer risks for lung cancer and
mesothelioma vary between EPA's 1986 model and the proposed risk assessment
methodology: for different distributions of fiber types and dimensions, does the proposed
methodology predict higher or lower risks than the 1986 model? Dr. Berman indicated that the
proposed methodology, when compared to EPA's 1986 model, generally predicts substantially
higher risks for environments with longer, thinner fibers and environments with larger amounts of
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amphibole fibers and predicts somewhat lower risks for environments with shorter, thicker fibers
and environments that contain only chrysotile fibers. One panelist recommended that future
revisions to the proposed protocol include sample calculations, perhaps in an appendix, for
several hypothetical environments to demonstrate how estimated cancer risks compare between
the new methodology and the 1986 model.
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5. COMMENTS ON TOPIC AREA 3: GENERAL QUESTIONS
This section summarizes the panelists' responses to charge questions 7-10 and 12. Responses to
charge question 11 are included in Section 6, because this charge question sought the panelists' overall
impressions of the proposed risk assessment methodology, rather than focusing on any one specific
issue.
5.1 Responses to Charge Question 7
This charge question asks: "The proposed risk assessment approach assigns carcinogenic potency to
individual fibers and to cleavage fragments (or 'bundles that are components of more complex
structures'). Please comment on whether cleavage fragments of asbestos are as toxicologically
significant as fibers of the same size range." The panelists raised the following points when responding:
#	Terminology used in the charge question. One panelist took strong exception to the
wording in this question (see pages 30-33 in Appendix B) and strongly recommended that the
panelists use correct terminology during their discussions. This panelist noted, for instance, that
cleavage fragments are not equivalent to bundles, nor do cleavage fragments meet the regulatory
definition of asbestos, as the charge question implies. He clarified that he defines cleavage
fragments as non-asbestiform amphiboles that are derived from massive amphibole structures.
This panelist was concerned that none of the panelists at the workshop has the mineralogical
expertise needed to address issues pertaining to cleavage fragments. Another panelist echoed
these concerns and agreed that this charge question raises complex issues.
#	Significance of cleavage fragments with respect to human health effects. The previous
concerns notwithstanding, several panelists commented on the role of cleavage fragments in the
proposed risk assessment methodology. One panelist, for example, indicated that there is no
reason to believe that cleavage fragments would behave any differently in the human lung than
asbestiform fibers of the same dimensions and durability; he added that this conclusion was also
reached by the American Thoracic Society Committee in 1990 (Weill et al. 1990). This panelist
acknowledged, however, that expert mineralogists have differing opinions on the role of
cleavage fragments. Several other panelists agreed that it is reasonable to assume that cleavage
fragments and asbestos fibers of the same dimension and durability would elicit similar toxic
responses.
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#	Review of selected epidemiological and toxicological studies. The panelists briefly
discussed what information has been published on the toxicity of cleavage fragments. One
panelist indicated that Appendix B in the proposed protocol (see pages B-3 through B-10)
interprets results from an animal study (Davis et al. 1991) that evaluated exposures to six
tremolite samples, including some that were primarily cleavage fragments. This panelist noted
that the study provides evidence that cleavage fragments can cause mesothelioma in animals.
Another panelist, however, cautioned against inferring too much from this animal study for
several reasons: the study was not peer reviewed; the fiber measurements in the study reportedly
suffered from poor reproducibility; and the mesotheliomas observed in the study might have
reflected use of intra-peritoneal injection model as the dose administration method. This panelist
recommended that EPA conduct a more detailed review on the few studies that have examined
the toxicity of cleavage fragments, possibly considering epidemiological studies of taconite
miners from Minnesota (Higgins et al. 1983) and cummingtonite-grunerite miners from South
Dakota (McDonald et al. 1978); he noted that a pending publication presents updated risks
among the taconite miners.
#	Practical implications of measuring cleavage fragments in environmental samples. One
panelist added, and another agreed, that measuring cleavage fragments in environmental samples
presents some challenges, because microscopists cannot consistently distinguish cleavage
fragments from asbestiform fibers, even when using TEM.
5.2 Responses to Charge Question 8
Charge question 8 asks: "Please comment on whether the proposed cancer assessment approach is
relevant to all amphibole fibers or only to the five types of amphibole fibers (actinolite, amosite,
anthophyllite, crocidolite, tremolite) designated in federal regulations." The panelists made the following
general comments in response:
# Review of evidence from toxicological and epidemiological studies. The panelists
identified few studies that address the toxicity of amphibole fibers other than actinolite, amosite,
anthophyllite, crocidolite, and tremolite. One panelist indicated that animal toxicology studies
have demonstrated that synthetic vitreous fibers with differing chemistry, but having similar
durability and dimensions, generally exhibit similar potency for fibrosis, lung cancer, and
mesothelioma. Another panelist added that lung cancer and mesothelioma exposure-response
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relationships for a cohort of vermiculite miners from Libby, Montana, have been published for
both asbestiform richterite and winchite.
# Appropriateness of applying the model to non-asbestiform amphiboles. Several panelists
agreed that the proposed risk assessment methodology is relevant to amphibole fibers other than
those listed in the federal regulations. The panelists noted that, in the absence of more detailed
information on the matter, it is prudent to assume that fibers of similar dimension and durability
will exhibit similar toxic effects. Two panelists expressed some hesitation on applying the
proposed model to the non-asbestiform amphiboles: one panelist asked how confidently one can
apply the cancer risk coefficients to amphibole fibers that have not been studied, and another
panelist indicated he was not convinced that the model should be applied to the other
amphiboles, let alone for the amphiboles that are listed in the federal regulations.
Given the amount of naturally occurring amphiboles in the Earth's crust, one panelist suggested
that the proposed protocol clearly state that the non-asbestiform amphiboles being evaluated are
only those with the same dimensional characteristics and biodurability as the corresponding
asbestiform amphiboles.
5.3 Responses to Charge Question 9
Charge question 9 asks: "The review document recommends that asbestos samples be analyzed by
transmission electron microscopy (TEM) and count only those fibers (or bundles) longer than 5 |im.
Such counting practices will provide no information on the amount of asbestos fibers shorter than 5 |im.
To what extent would data on shorter fibers in samples be useful for future evaluations (e.g., validation
of the cancer risk assessment methodology, assessment of non-cancer endpoints)?"
The panelists expressed varying opinions on this matter: some panelists saw no benefit of measuring
fibrous structures shorter than 5 |im, based on responses to earlier charge questions (see Sections
3.1.3, 3.1.4, and 4.1); other panelists indicated that there is some utility to collecting information on
shorter fibrous structures, particularly if the incremental analytical costs are not prohibitively expensive
and if counting short fibers does not compromise accurate counts of longer fibers. The panelists raised
the following specific issues when discussing measurement methods:
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#	Support for using TEM in future sampling efforts. The panelists unanimously supported the
recommendation in the proposed protocol of using TEM, rather than PCM or some other
method, to characterize exposures in future risk assessments. The panelists also emphasized that
future measurement methodologies must focus on generating accurate counts of the most
biologically active fibers, or fibers longer than 5 |im,
#	Practical implications of counting fibers shorter than 5 \im. One panelist indicated that
analyzing samples for fibrous structures shorter than 5 |im would compromise analysts' ability to
accurately count the amounts of longer fibers that are of greater biological concern. Some
panelists and an observer further discussed the costs associated with counting fibers in multiple
length categories, including shorter than 5 |im. The panelists did not cite firm cost figures for
these analyses. However, noting that environmental samples typically contain more than 90%
short fibrous structures, one panelist suspected that counting the shorter structures would
considerably increase the time a microscopist needs to analyze samples, and therefore also
would considerably increase the cost of the analysis. A panelist indicated that the costs and
benefits of counting fibers shorter than 5 |im might be more appropriately debated between
microscopists and risk assessors, with inputs from industrial hygienists and mineralogists.
#	Relevance of fibers shorter than 5 \im for non-cancer endpoints. One panelist noted that
exposures to fibrous structures shorter than 5 |im can contribute to asbestosis in occupationally
exposed individuals (Lippmann 1988), but he doubted that the exposure levels found to be
associated with asbestosis would be experienced in non-occupational settings. Another panelist
added that the role of shorter fibrous structures for other non-cancer endpoints is not known,
such as the pleural abnormalities and active pleural fibrosis observed in Libby, Montana. No
panelists were aware of any authoritative statements made on the role that short fibers play, if
any, on these other non-cancer endpoints. During this discussion, one panelist indicated that the
toxicity of fibrous structures shorter than 5 |im might be adequately addressed by EPA's
particulate matter standards.
5.4 Responses to Charge Question 10
Charge question 10 asks: "The proposed risk assessment methodology suggests that exposure
estimates should be based only on fibers longer than 5 |im and thinner than 0.5 |im. Is this cut-off for
fiber diameter appropriate?" Before the panelists responded to the question, Dr. Berman first clarified
that the exposure index optimized from the animal studies (see Equation 7.12 in the proposed protocol)
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assigns a far greater carcinogenic potency to fibers longer than 40 |im, with diameters less than 0.4 |im;
he noted that the proposed diameter cut-off (0.5 |im) was based on an ad hoc adjustment.
The panelists agreed that the proposed cut-off for fiber diameter (0.5 |im) would likely include most
fibers of health concern; however, they also unanimously agreed that the exposure index should not
exclude thicker fibers that are known to be respirable in humans. The main argument given for
increasing the cut-off is that fibers with diameters as large as 1.5 |im (or with aerodynamic diameters as
large as 4.5 |im) can penetrate to small lung airways in humans. Other panelists provided additional
specific comments, generally supporting inclusion of thicker fibers in the proposed exposure index. One
panelist, for example, advised against basing the fiber diameter cut-off strictly on observations from rat
inhalation studies, due to inter-species differences in respirability. Further, noting that the proposed cut-
off for fiber diameter would likely exclude some amosite fibers and a considerable portion of tremolite
fibers with known carcinogenic potency, another panelist encouraged that the proposed exposure index
include contributions from thicker fibers.
The panelists noted that consideration of fibers thicker than 0.5 |im was viewed as being most
important for the lung cancer risk assessment model, as risks for mesothelioma appear to be more
closely linked to exposures to long, thin fibers (see Section 3.2.3). Further, some panelists suspected
that increasing the fiber diameter cut-off in the exposure index should be accompanied by changes to
the exposure-response coefficients in the risk assessment models, but the panelists did not unanimously
agree on this issue.
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5.5. Responses to Charge Question 12
Charge question 12 asks: "Section 8.2 of the review document presents three options for assessing
cancer risks from asbestos exposure. Please comment on the technical merit of the proposed risk
assessment options." The panelists briefly reviewed the strengths and weaknesses of the three options
presented in the proposed protocol for assessing asbestos-related cancer risks. The panelists agreed
that the first option—direct use of EPA's lung cancer and mesothelioma risk assessment
models—allows for the greatest flexibility in evaluating site-specific exposure scenarios, particularly
those with time-varying exposures. Dr. Crump indicated that he envisioned this option being coded into
a computer program, into which users enter their site-specific exposure information. Most panelists
endorsed developing such a program. The panelists did not reject use of the second and third options,
provided that EPA ensures that all three options generate equivalent risk estimates for the same
exposure scenario.
The one issue discussed in greater detail was how sensitive predictions using the first option are to the
mortality rates used in the evaluation. Noting that mortality rates as functions of age and sex differ from
one location to the next, this panelist encouraged EPA to consider carefully whether nationwide
mortality estimates would be programmed into the risk assessment model or whether risk assessors
would have the option of entering site-specific mortality rates. The panelist also suggested that the
authors of the risk assessment conduct sensitivity analyses to quantify how strongly the mortality data
affect cancer risk estimates. These comments also raised questions about the fact that two populations
with different underlying mortality rates could have different cancer risks, even though their asbestos
exposure levels are equivalent.
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6. COMMENTS ON TOPIC AREA 4: CONCLUSIONS AND RECOMMENDATIONS
This section reviews the panelists' individual conclusions and recommendations regarding the proposed
protocol (Section 6.1), as well as how the panelists developed their overall conclusions and
recommendations that appear in the executive summary of this report (Section 6.2).
6.1 Responses to Charge Question 11
Charge question 11 asks: "Discuss whether the proposed cancer assessment approach, as a whole, is a
reasonable evaluation of the available health effects data. What aspects of the proposed cancer
assessment approach, if any, are inconsistent with the epidemiology or toxicology literature for
asbestos?" The panelists offered individual summary statements, which were not discussed or debated
among the panel. Following is a summary of the panelists' individual summary statements in the order
they were given:
#	Dr. Lippmann's summary statement. Dr. Lippmann commended Drs. Berman and Crump
on developing the proposed risk assessment protocol and supported use of a model that
accounts for the factors (e.g., fiber type and dimension) that are most predictive of cancer risk.
Dr. Lippmann supported the authors' attempt to make full use of the existing data and to
interpret the results from the epidemiological studies. He strongly recommended that EPA make
every effort to obtain individual-level data from additional epidemiological studies. Dr. Lippmann
suggested that a follow-up workshop with experts in exposure assessment could help EPA
evaluate the uncertainties in exposure measurements from historic occupational data sets. Dr.
Lippmann supported an observer's suggestion to conduct an animal inhalation study using
tremolite cleavage fragments to help resolve the issue of these fragments' carcinogenic potency.
Overall, he encouraged that future work on the proposed protocol continue, through use of
additional expert panels, to make more informed usage of the human exposure data.
#	Dr. Teta's summary statement. Dr. Teta indicated that the proposed protocol is an impressive
integration of the animal toxicology data and the human epidemiology data. She commended the
authors for developing a scientific methodology that successfully reduces the variability in results
across the epidemiological studies, suggesting that the studies might be more consistent than
were previously thought. Dr. Teta recommended improvements to the meta-analysis of
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epidemiological studies, such as establishing and applying criteria for use of human data in
characterizing exposure-response relationships. Overall, Dr. Teta found no inconsistencies
between the proposed protocol and the larger body of epidemiology literature, including studies
of cohorts (e.g., gas mask workers, railroad workers, friction brake workers) that do not have
well-defined exposure information. Though not disagreeing with the utility of other panelists'
recommendations, such as re-analyzing data from additional epidemiological studies and
convening additional expert panels, Dr. Teta encouraged EPA to move forward expeditiously
with completing the proposed protocol and discouraged implementing additional steps that might
delay the overall project.
#	Dr. Hoel's summary statement. Dr. Hoel encouraged the use of more sophisticated modeling
that incorporates data on exposure-response (including non-linear models), duration of
exposure, cessation of exposure, and uncertainty in exposure. Dr. Hoel also strongly
recommended that EPA attempt to obtain individual-level data from additional epidemiology
studies, or at least obtain partial data sets. He encouraged Drs. Berman and Crump to use more
sophisticated uncertainty analysis techniques, such as generating prior and posterior distributions
of uncertainty. To ensure that the lung cancer model is not confounded by cigarette smoking, Dr.
Hoel recommended that Drs. Berman and Crump more closely evaluate all available data on the
interactions between asbestos exposure and cigarette smoking.
#	Dr. Steenland's summary statement. Dr. Steenland indicated that the proposed protocol is a
step forward in asbestos risk assessment; however, he had several recommendations for
improving the analysis of epidemiological studies. For instance, Dr. Steenland suggested that the
authors conduct meta-regression analyses using the original exposure-response coefficients, in
which predictor variables include fiber size, fiber type, the estimated percentage of amphiboles,
percentage of fiber greater than 10 |im, and categorical grouping of studies according to quality.
He indicated that these factors can be examined using both fixed effects and random effects
models. Dr. Steenland recommended that the proposed protocol explicitly state and defend the
basis for choosing the 10 |im cut-off for fiber length in the exposure index. He suggested that
EPA should consider using Bayesian techniques or other methods to determine which relative
potencies assigned to different fiber length categories optimize the model's fit to the
epidemiological data.
Focusing on specific topics, Dr. Steenland indicated that he disagrees with the approach of
assigning amphibole fibers five times greater lung cancer potency than chrysotile fibers,
especially considering that the statistical analysis in the proposed protocol could not reject the
hypothesis that amphibole fibers and chrysotile fibers are equally potent. Further, he advocated
suggestions of exploring the adequacy of other exposure-response models (e.g., non-linear
models). Finally, Dr. Steenland suspected that cigarette smoking likely will not be a confounding
factor in exposure-response analyses for two reasons. First, he noted that differences in smoking
practices between working populations and general populations typically do not cause
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substantial differences in standardized mortality ratios. Second, he indicated that it is highly
unlikely that prevalence of smoking varies with workers' exposure levels. Dr. Steenland
encouraged that EPA refer to a recent publication (Liddell and Armstrong 2002) for similar
insights on interactions between asbestos exposure and cigarette smoking.
#	Dr. Crapo's summary statement. Dr. Crapo complimented Drs. Berman and Crump on
preparing the cancer risk assessment methodology, and he supported the general approach of
expressing cancer risk as a function of asbestos fiber type and fiber dimension. Dr. Crapo
indicated that the proposed protocol reaches several defensible conclusions, such as assigning
greater mesothelioma potency to amphibole fibers and to longer fibers while assigning no risk to
fibers less than 5 |im in length. However, he was concerned about some specific issues that are
not yet adequately resolved. For instance, Dr. Crapo felt additional data are needed to
rigorously define how mesothelioma potency varies with fiber length (i.e., fibers longer than 10
|im being 300 times more potent than fibers with lengths between 5 and 10 |im). Dr. Crapo
recommended that EPA, when revising the proposed protocol, explore more sophisticated
modeling techniques, including non-linear exposure-response models and consideration
threshold effects. He supported more detailed analyses of interactions between asbestos
exposure and cigarette smoking, again through the use of non-linear models.
#	Dr. Sherman '.s summary statement. Dr. Sherman first indicated that she concurred with
several recommendations made by Drs. Hoel and Steenland. She focused her summary
statements on the proposed exposure index, recommending that Drs. Berman and Crump use
the epidemiology data to further investigate other formulations of an exposure index. Dr.
Sherman recommended, for example, examining the goodness of fit of other formulations of the
exposure index (e.g., assigning zero potency to all fibers shorter than 10 |im). Further, she
recommended that the authors attempt to optimize the potency weighting factors in the exposure
index to the epidemiological data. Finally, given that panelists expressed concern regarding how
potency varies with fiber length for mesothelioma, Dr. Sherman suggested that Drs. Berman and
Crump consider developing two different exposure indexes—one optimized for lung cancer, and
the other for mesothelioma. Dr. Sherman added that she generally supported the lung cancer
and mesothelioma exposure-response models, and questioned whether using more complicated
models would necessarily lead to a better understanding of the data.
#	Dr. Castranova's summary statement. Dr. Castranova concluded that the proposed protocol
is a significant advance in asbestos risk assessment methodology. He strongly supported the
recommendation that future measurements be performed using TEM, rather than PCM. Dr.
Castranova also supported the approach of assigning equal carcinogenic potency to cleavage
fragments and asbestos fibers of similar dimension—a finding, he noted, that could be tested in
an animal inhalation study. Further, Dr. Castranova agreed that non-asbestiform amphiboles and
asbestos amphiboles of the same dimension should be assigned equal carcinogenic potency. Dr.
Castranova indicated that the epidemiology and toxicology literature clearly indicate that
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mesothelioma potency varies with fiber type, but he was not convinced that this literature
supports a difference in lung cancer potency between amphibole and chrysotile fibers.
#	Dr. Price's summary statement. Dr. Price found the proposed protocol to be an impressive
compilation of the epidemiology and toxicology literature into a cancer risk assessment model
that addresses most, but not all, risk factors debated since EPA's 1986 model. Dr. Price urged
EPA to explore exposure-response models other than the models that involve linear, low-dose
extrapolations, which he viewed as being inconsistent with the epidemiology literature. Dr. Price
indicated that future revisions to the protocol should definitely consider non-linear models and
threshold effects.
As an additional comment, Dr. Price emphasized that the two main elements of the
protocol—the proposed exposure index and the exposure-response analysis—are closely inter-
related and subsequent changes to the proposed exposure index could affect the robustness of
the overall modeling effort. As an example of his concern, Dr. Price noted that increasing the
fiber diameter cut-off in the exposure index from 0.5 |im to 1.5 |im could (according to an
observer comment) lead to dramatic differences in the number of cleavage fragments counted in
environment samples; however, he indicated that the animal studies used to derive the original
exposure index did not include cleavage fragments. Such scenarios raise questions about using
an exposure index derived from very specific exposure conditions in animal studies to evaluate
human health risks associated with exposures of an entirely different character. Dr. Price
encouraged further study of cleavage fragments, perhaps in an animal inhalation study, to resolve
the role of cleavage fragments.
#	Dr. Case's summary statement. Dr. Case congratulated Drs. Berman and Crump for
compiling what he viewed as a reasonable evaluation of the available toxicology and
epidemiology literature, and he strongly supported the general approach of factoring fiber type
and fiber dimension into cancer risk assessment. Dr. Case indicated that he agreed with the
finding that amphibole fibers have slightly greater lung cancer potency than do chrysotile fibers,
although he believed that fiber dose, fiber length, and especially smoking history and type of
industry have greater importance in this regard. Dr. Case recognized that how one views the
differences between the Quebec and South Carolina cohorts affects the conclusions drawn on
this issue, and he encouraged EPA to classify the cohort of South Carolina textile workers as
being exposed to mixed asbestos fibers, rather than being exposed to only chrysotile fibers2
2
When presenting the summary statements, one panelist (LS) indicated that NIOSH is re-analyzing filters
that were collected in the 1960s from the South Carolina textile plant, and these re-analyses should indicate the
distribution of fiber types in this cohort's exposures. Another panelist (BC) noted that these re-analyses will not
characterize earlier exposures to amosite fibers, which are believed to have occurred primarily before 1950 (based on
findings from studies of lung-retained fibers).
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Dr. Case made several recommendations for further evaluating the existing epidemiological data
and for collecting additional data. First, Dr. Case indicated that it is critically important for any
lung cancer risk model to consider confounding effects of cigarette smoking, and he encouraged
EPA to incorporate interactions with cigarette smoking into the lung cancer model to the greatest
extent possible. Second, Dr. Case supported Dr. Lippmann's recommendation of convening an
additional expert panel workshop to critically review inferences that should be drawn from the
exposure measurements made in the epidemiological studies; such a panel, Dr. Case noted,
would require inputs from experts in mineralogy, industrial hygiene, and measurement
methodologies. Third, he supported comments recommending that EPA examine non-linear and
threshold exposure-response models. Finally, Dr. Case agreed that conducting an animal
inhalation study is probably the best way to examine whether tremolite cleavage fragments
produce lung cancer, but did not advocate using rat inhalation studies to examine whether these
fragments induce mesothelioma, because results from rat inhalation studies have been shown to
be a poor model for mesothelioma in humans. He added, however, that it would quite probably
be impossible to design an experiment in which rats were exposed only to "cleavage fragments"
or "non-asbestiform fibers" with no asbestiform fibers present at all.
# Dr. Stay tier's summary statement. Dr. Stayner supported the general concept of
incorporating fiber type and fiber dimension into cancer risk assessment, but he recommended
that additional work be conducted before EPA accepts the proposed protocol as a new risk
assessment paradigm. Dr. Stayner indicated that his confidence in the proposed protocol varies
between the lung cancer and mesothelioma models.
For lung cancer, Dr. Stayner indicated that the available epidemiological data should be able to
support a new risk assessment model, but he recommended that EPA consider the panelists'
many recommendations for how the meta-analysis can be improved (e.g., using different
statistical models, developing and applying minimal study inclusion criteria, conducting additional
sensitivity analyses). Concurring with Dr. Steenland's summary statement, Dr. Stayner added
that cigarette smoking is very unlikely to be a confounding factor in the lung cancer model and he
questioned whether the available data would support a quantitative assessment of the interaction
effects. While Dr. Stayner supported the recommendation for evaluating non-linear exposure-
response models, he noted that the individual-level data needed to construct these models are
not available for most epidemiological studies. Dr. Stayner added that obtaining raw data from
additional occupational cohorts would provide the best opportunity for more detailed
exploration of non-linear exposure-response relationships.
Dr. Stayner expressed greater concern about the foundation of the mesothelioma risk model. He
indicated, for instance, that the relative potencies included in the proposed exposure index are
based entirely on toxicology studies for lung cancer, and not on any epidemiology or toxicology
studies specific to mesothelioma. Despite these concerns about the biological basis for the
proposed mesothelioma model, Dr. Stayner noted that the proposed model does provide an
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improved fit to the findings from the epidemiological studies. He recommended that EPA
consider optimizing the relative potencies in the exposure index to the human data, especially if
EPA can access raw data from additional occupational cohorts to evaluate how exposure-
response varies with fiber size and fiber type.
# Dr. McClellan '.s summary statement. Dr. McClellan congratulated Drs. Berman and Crump
for integrating the toxicological and epidemiological data into a reasonable evaluation of asbestos
cancer risks. Overall, Dr. McClellan found the proposed protocol to be a substantial
improvement over EPA's 1986 models and urged EPA to continue to move forward with
completing the protocol based on the panelists' feedback. Though he found the presentation of
information in the draft document to lack transparency on many important matters, Dr.
McClellan indicated that the authors' presentations at the workshop addressed many of his
concerns regarding the transparency of how the proposed model was developed. One
suggested improvement to the protocol's transparency was to clearly describe what literature
were reviewed and to specify what studies actually factored into the quantitative analyses.
Addressing specific topics, Dr. McClellan indicated that the analyses in the proposed protocol
adequately characterize the general roles that fiber type and fiber dimension play in cancer risk.
He supported suggestions for involving additional experts, perhaps in another expert panel
review, to further review interpretations of the epidemiological studies. Further, Dr. McClellan
agreed with other panelists' recommendation that EPA explore the utility of non-linear
exposure-response models, consistent with the agency's proposed revised Cancer Risk
Assessment Guidelines. If linear, low-dose extrapolation models are ultimately used, he
suggested that EPA explicitly acknowledge the uncertainties associated with such an approach.
Dr. McClellan indicated that obtaining raw data from additional epidemiological studies might be
particularly helpful in the exposure-response modeling. Finally, Dr. McClellan emphasized that
the exposure characterization in the proposed protocol is closely linked to the exposure-
response assessment; thus, the authors must carefully consider how revisions to the exposure
characterization affect the assumptions in the exposure-response assessment, and vice versa.
6.2 Development of Final Conclusions and Recommendations
After presenting their individual conclusions and recommendations, the panelists worked together to
draft summary statements for the peer consultation workshop. Every panelist was asked to write a brief
synopsis of a particular topic debated during the workshop. These draft statements were then displayed
to the entire panel and observers, edited by the panelists, and then compiled into this document's
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executive summary, which should be viewed as the expert panel's final conclusions and
recommendations regarding the proposed protocol.
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7. REFERENCES
B Bellmann, H Muhle, O Creutzenberg, et al. 2001. Effects of nonfibrous particles on ceramic fiber
(RCF1) toxicity in rats. Inhalation Toxicology 13(10):877-901.
DW Berman, KS Crump, EJ Chatfield, JMG Davis, AD Jones. 1995. The Sizes, Shapes, and
Mineralogy of Asbestos Structures that Induce Lung Tumors or Mesothelioma in AF/HAN Rats
Following Inhalation. Risk Analysis 15(2).
DW Berman and KS Crump 1999. Methodology for Conducting Risk Assessments at Asbestos
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Appendix A
List of Expert Panelists

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Appendix B
Premeeting Comments, Alphabetized by Author
(includes bios of panelists and the charge to the panelists)
Note: This appendix is a copy of the booklet of the premeeting comments that ERG distributed at the
peer consultation workshop. One panelist (Dr. Bruce Case) submitted an edited form of his
premeeting comments to ERG at the workshop. That edited version appears in this appendix.

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Appendix C
List of Registered Observers of the Peer Consultation Workshop

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Appendix D
Agenda for the Peer Consultation Workshop

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Appendix E
Observer Comments Provided at the Peer Consultation Workshop
Note: The peer consultation workshop included three observer comment periods, one on the first day
of the workshop and two on the second day of the workshop. This appendix includes verbatim
transcripts (to the extent that specific remarks were audible from recordings) of the observer
comments, in the order the comments were given.

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Appendix F
Observer Post-Meeting Comments

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