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Issues in Risk Assessment (1993)
Commission on Life Sciences (CLS)

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. "6.1 Extrapolation from Rats to Mice." Issues in Risk Assessment. Washington, DC: The National Academies Press, 1993.

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Issues in Risk Assessment

may be used to relate carcinogenic potency (P) to body weight (BW). A value of b = 1 corresponds to interspecies extrapolation on the basis of body weight, whereas b = 2/3 corresponds to extrapolation roughly on the basis of body surface area. Travis & White (1988) suggest an intermediate value of b = 3/4 (cf. Watanabe et al., 1992), which corresponds roughly to extrapolation on the basis of metabolic rate (Schmidt-Nielsen, 1984).

6.1 Extrapolation from Rats to Mice

Quantitative interspecies extrapolation of measures of carcinogenic potency such as the TD50 may also be based on empirical observations of potency in the two target species, provided that the agents of interest are effective in both species. Crouch & Wilson (1979) demonstrated a positive correlation between rats and mice in carcinogenic potency expressed in terms of the slope coefficient ß in the one-hit model in (2.2). Subsequently, Crouch (1983) suggested that interspecies extrapolation of carcinogenic potency would generally be accurate to within a factor of about 4.5.

Gaylor & Chen (1986) compared the relative carcinogenic potency of chemicals in rats, mice, and hamsters based upon the TD50s given by Gold et al. (1984). Since current practice generally is to base risk estimates upon the data set producing the highest cancer risk, the minimum TD50 was selected for each chemical in each species for each route of administration. The largest subset of relative potencies was obtained for rats and mice for 190 chemicals administered in the diet. With dose expressed in terms of mg/kg body weight/day, the geometric mean of the ratio of the minimum TD50 value for rats relative to that for mice was 0.45. For dose expressed in terms of concentration (ppm) in the diet, however, the mean ratio was 1.3. Using either dose metric, the mean carcinogenic potency of these chemicals in rats and mice agree to within a factor of about two-fold. The ratio R of the TD50 values for rats and mice were approximately lognormally distributed, with log10R exhibiting a standard deviation of 0.82; this corresponds to a multiplicative factor of 100.82 ˜ 7-fold. For 4 of the 190 chemicals, the ratios of

Page
141
Front Matter (R1-R18)
Executive Summary (1-2)
USE OF THE MAXIMUM TOLERATED DOSE IN ANIMAL BIOASSAYS FOR CARCINOGENICITY (3-8)
THE TWO-STAGE MODEL OF CARCINOGENESIS (9-9)
A PARADIGM FOR ECOLOGIC RISK ASSESSMENT (10-12)
Issues In Risk Assessment Use Of Maximum Tolerated Dose in Animal Bioassays for Carcinogenicity (13-14)
BACKGROUND (15-17)
SCOPE OF REPORT (18-20)
DEFINITIONS AND BACKGROUND (21-23)
CORRELATIONS (24-32)
RELATIONSHIP BETWEEN TOXICITY AND CARCINOGENICITY OBSERVED AT MTD (33-42)
QUALITATIVE INFORMATION (43-48)
QUANTITATIVE INFORMATION (49-52)
OPTION 1 (53-53)
OPTION 2 (54-54)
OPTION 3 (55-56)
Option 4A (57-58)
Option 4B (59-60)
5 Conclusions and Recommendations (61-66)
REFERENCES (67-78)
BACKGROUND (79-79)
DEFINING AND DETERMINING THE MTD (80-90)
Appendix B Organizing Subcommittee (91-92)
Appendix C Federal Liaison Group (93-94)
Appendix D Workshop Program (95-96)
Appendix E Workshop Attendees (97-110)
1. INTRODUCTION (111-112)
2.1 Measures of Carcinogenic Potency (113-115)
2.2 Carcinogenic Potency Database (CPDB) (116-116)
2.3 Variation in Carcinogen Potency (117-118)
2.4 Classification of Carcinogens (119-120)
3.1 Empirical Correlations (121-124)
3.2 Range of Possible TD50 Values (125-125)
3.3 Analytical Correlations (126-127)
3.4 Model Dependency (128-129)
3.5 Genotoxic vs. Nongenotoxic Carcinogens (130-130)
4.1 Predictions Based on the MDT (131-131)
4.2 Predictions Based on Mutagenicity and Acute Toxicity (132-134)
5.1 Correlation Between Upper Bounds On the Low Dose Slope and MTD (135-135)
5.2 Correlation Between q1* and the TD50 (136-138)
5.3. Preliminary Estimate of Risk (139-139)
6. INTERSPECIES EXTRAPOLATION (140-140)
6.1 Extrapolation from Rats to Mice (141-143)
6.2 Extrapolation from Rodents to Humans (144-145)
7. CONCLUSIONS (146-148)
8. ACKNOWLEDGEMENTS (149-149)
9. REFERENCES (150-159)
ANNEX A: MAXIMUM LIKELIHOOD METHODS FOR FITTING THE WEIBULL MODEL (160-161)
ANNEX B. SHRINKAGE ESTIMATORS OF THE DISTRIBUTION OF CARCINOGENIC POTENCY (162-163)
ANNEX C: ADJUSTMENT OF POTENCY VALUES FOR LESS THAN LIFETIME EXPOSURE (164-165)
ANNEX D: CORRELATION BETWEEN TD50 AND MTD (166-168)
ANNEX E: CORRELATION BETWEEN TD50S FOR RATS AND MICE (169-172)
Appendix G Informal Search for ''Supercarcinogens" (173-174)
CRITERIA AND CANDIDATE CHEMICALS (175-176)
DATA (177-180)
RESULTS (181-181)
DISCUSSION (182-184)
Issues in Risk Assessment The Two-Stage Model Of Carcinogenesis (185-186)
INTRODUCTION (187-187)
BIOLOGIC CONSIDERATIONS (188-189)
THE TWO-STAGE MODEL (190-195)
APPLICATIONS OF THE TWO-STAGE MODEL TO ANIMAL DATA (196-211)
Data Needs (212-212)
Criteria for Adoption (213-213)
Prospects (214-214)
CONCLUSIONS AND RECOMMENDATIONS (215-216)
REFERENCES (217-222)
BIOLOGICAL FACTORS IN TWO-STAGE MODELS (223-225)
TWO-STAGE MODEL OF CLONAL EXPANSION (226-227)
APPLICATION OF THE TWO-STAGE MODEL TO ANIMAL DATA (228-232)
Appendix B Workshop Program (233-234)
Appendix C Workshop Federal Liaison Group (235-236)
TOPIC GROUP MEMBERS (237-238)
Appendix E Workshop Organizing Task Group (239-240)
Isuees In Risk Assessment A Paradigm for Ecological Risk Assessment (241-242)
1 Introduction (243-246)
2 Scope of Ecological Risk Assessment (247-248)
COMPONENTS OF THE 1983 FRAMEWORK (249-250)
CONSISTENCY OF CASE STUDIES WITH THE 1983 FRAMEWORK (251-253)
INTEGRATION OF ECOLOGICAL RISK INTO THE 1983 FRAMEWORK (254-254)
DEFINITION OF FRAMEWORK COMPONENTS FOR ECOLOGICAL RISK ASSESSMENT (255-258)
EXTRAPOLATION ACROSS SCALES (259-260)
QUANTIFICATION OF UNCERTAINTY (261-261)
VALIDATION OF PREDICTIVE TOOLS (262-262)
VALUATION (263-264)
5 Conclusions (265-266)
6 Recommendations (267-268)
REFERENCES (269-272)
Appendix A Workshop Participants (273-278)
Appendix B Workshop Organizing Subcommittee and Federal Liaison Group (279-280)
Appendix C Workshop Introduction (281-282)
TERRY F. YOSIE BUILDING ECOLOGICAL RISK ASSESSMENT AS A POLICY TOOL (283-285)
D. WARNER NORTH: RELATIONSHIP OF WORKSHOP TO NRC'S 1983 RED BOOK REPORT (286-288)
MICHAEL SLIMAK: U.S. ENVIRONMENTAL PROTECTION AGENCY ACTIVITIES IN ECOLOGICAL RISK ASSESSMENT (289-292)
CASE STUDY 1: TRIBUTYLTIN RISK MANAGEMENT IN THE UNITED STATES (293-293)
Discussion (294-294)
CASE STUDY 2: ECOLOGICAL RISK ASSESSMENT FOR TERRESTRIAL WILDLIFE EXPOSED TO AGRICULTURAL CHEMICALS (295-296)
CASE STUDY 3A: MODELS OF TOXIC CHEMICALS IN THE GREAT LAKES: STRUCTURE, APPLICATIONS, AND UNCERTAINTY ANALYSIS (297-298)
CASE STUDY 3B: ECOLOGICAL RISK ASSESSMENT OF TCDD AND TCDF (299-299)
Discussion (300-300)
CASE STUDY 4: RISK ASSESSMENT METHODS IN ANIMAL POPULATIONS: THE NORTHERN SPOTTED OWL AS AN EXAMPLE (301-301)
Discussion (302-302)
CASE STUDY 5: ECOLOGICAL BENEFITS AND RISKS ASSOCIATED WITH THE INTRODUCTION OF EXOTIC SPECIES FOR BIOLOGICAL CONTROL OF A... (303-303)
Discussion (304-304)
CASE STUDY 1: UNCERTAINTY AND RISK IN AN EXPLOITED ECOSYSTEM: A CASE STUDY OF GEORGES BANK (305-306)
Discussion (307-308)
Generic Issues (309-309)
Analysis of Case Studies (310-310)
DOSE-RESPONSE ASSESSMENT (311-311)
Selection of End Points (312-312)
Consideration of Nonlinearities And Discontinuities (313-313)
Understanding the Stressor (314-314)
Additions to the 1983 Paradigm Needed for Ecological Risk Assessment (315-315)
Modeling Needs for Stress-Response Relationships (316-316)
Methods of Measuring Stressors for Ecological Exposure Assessment (317-317)
Definition of Risk Characterization (318-318)
Components of Risk Characterization (319-319)
Organization and Presentation (320-320)
Differences from and Similarities To the 1983 Report (321-321)
Application to the Case Studies (322-323)
Agricultural Chemicals (324-324)
Northern Spotted Owl (325-325)
General Discussion: Models and Risk Assessment (326-326)
Uncertainties Identified In the Case Studies (327-327)
Implications of Uncertainty for Ecological Risk Assessment (328-328)
VALUATION (329-330)
Risk Assessment Has Many Uses (331-332)
Different Risk Assessment Methods Are Suited to Different Risk Assessment Needs (333-333)
Risk Assessors and Risk Managers Need to Communicate (334-334)
Credibility is Crucial (335-336)
Appendix G Contemplations on Ecological Risk Assessment (337-342)
Appendix H Workshop Summary (343-346)
Appendix I References for Appendixes (347-350)
Appendix J Workshop Program (351-356)

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Issues in Risk Assessment may be used to relate carcinogenic potency (P) to body weight (BW). A value of b = 1 corresponds to interspecies extrapolation on the basis of body weight, whereas b = 2/3 corresponds to extrapolation roughly on the basis of body surface area. Travis & White (1988) suggest an intermediate value of b = 3/4 (cf. Watanabe et al., 1992), which corresponds roughly to extrapolation on the basis of metabolic rate (Schmidt-Nielsen, 1984). 6.1 Extrapolation from Rats to Mice Quantitative interspecies extrapolation of measures of carcinogenic potency such as the TD50 may also be based on empirical observations of potency in the two target species, provided that the agents of interest are effective in both species. Crouch & Wilson (1979) demonstrated a positive correlation between rats and mice in carcinogenic potency expressed in terms of the slope coefficient ß in the one-hit model in (2.2). Subsequently, Crouch (1983) suggested that interspecies extrapolation of carcinogenic potency would generally be accurate to within a factor of about 4.5. Gaylor & Chen (1986) compared the relative carcinogenic potency of chemicals in rats, mice, and hamsters based upon the TD50s given by Gold et al. (1984). Since current practice generally is to base risk estimates upon the data set producing the highest cancer risk, the minimum TD50 was selected for each chemical in each species for each route of administration. The largest subset of relative potencies was obtained for rats and mice for 190 chemicals administered in the diet. With dose expressed in terms of mg/kg body weight/day, the geometric mean of the ratio of the minimum TD50 value for rats relative to that for mice was 0.45. For dose expressed in terms of concentration (ppm) in the diet, however, the mean ratio was 1.3. Using either dose metric, the mean carcinogenic potency of these chemicals in rats and mice agree to within a factor of about two-fold. The ratio R of the TD50 values for rats and mice were approximately lognormally distributed, with log10R exhibiting a standard deviation of 0.82; this corresponds to a multiplicative factor of 100.82 ˜ 7-fold. For 4 of the 190 chemicals, the ratios of

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Issues in Risk Assessment the TD50s for rats and mice differed by more than a factor of 100. Chen & Gaylor (1987) used results from the NCI/NTP Carcinogenesis Bioassay Program to compare cancer risk estimates for rats relative to those for mice for chemicals administered orally. The 10-6 RSD was calculated for rats and mice for those chemicals that showed a dose-response trend in the same sex at the same tissue/organ site in both species. In all, 69 comparisons of RSDs between rats and mice for 38 rodent carcinogens were made. The overall geometric mean of the RSD ratios for rats to mice was 1.27, with dose was measured in terms of concentration (ppm) in the diet. The logarithms of the ratios of RSDs were approximately normally distributed with a standard deviation of 0.79, corresponding to a multiplicative factor of approximately 6-fold. The RSD ratios varied from 1:51 to 49:1 for the 69 cases. Without the restriction of tumors at the same sex and site in both species, the geometric mean of the ratio of the minimum RSDs of rats to mice was 1.38 with a standard deviation of loge ratios of 0.78. It appears that relative potencies for rats and mice are generally within a multiplicative factor of 100-fold for rodent carcinogens. However, McGregor (1992) recently noted that amides and halides tended to exhibit disparate TD50s in rats and mice. Bernstein et al. (1985) suggested that this apparent interspecies correlation in carcinogenic potency simply reflects the corresponding high correlation in MTDs for rats and mice. This provoked a debate as to the interpretation of these results on interspecies potency correlation (Crouch et al., 1987; Reith & Starr, 1989b). Reith & Starr (1989b) obtained a correlation of r = 0.83 on a logarithmic scale between potency estimates for n = 83 chemicals selected from the CPDB identified as carcinogens in both rats and mice. (In this analysis, potency was defined as the slope ß in (2.3), calculated using the TD50 values given in the CPDB.) They argued that the correlations arise from (i) the strong interspecies correlation between MTDs in chronic bioassays, (ii) the small numbers of animals used per dose group, and (iii) the narrow range of doses typically tested. Reith & Starr (1989b) further noted a high correlation for chemicals testing negative in both species (r = 0.85, n = 51), for chemicals testing positive in rats but negative in mice (r = 0.55, n = 15), and for chemicals testing negative in rats but positive in mice (r = 0.68, n = 25). Reith & Starr (1989b) recomputed these correlations after dividing each poten-

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Issues in Risk Assessment cy estimate by the MDT. The largest correlation (r = 0.27) was obtained for chemicals testing negative in both rats and mice; none of the four recomputed correlations was significantly greater than zero (p > 0.05). To further illustrate the correlation in TD50 values for rats and mice, consider the data on 127 of the 492 rodent carcinogens discussed by Gold et al. (1989) which are carcinogenic in both species. These data demonstrate a high correlation between TD50 values for rats and mice (Figure 5), with a Pearson correlation of 0.808. This observation may also be derived analytically (annex E). Let us assume that the MDTs for the rat and mouse carcinogens are both lognormally distributed, with MTDrats = cMTDmice. (Although Bernstein et al., 1985, estimate c to be 0.357, the correlation coefficient is independent of c.) Suppose further that the TD50s for each species are uniformly distributed about the MTD within the 32-fold range considered by Bernstein et al. (1985), and that, given the MTDs for each species, the TD50s for rats and mice are statistically independent. These assumptions lead to a correlation based on equation (E.5) in annex E of 0.943 for the TD50 values for rats and mice. The assumption of strict proportionality between MTD rats and MTD mice may be relaxed as discussed in annex E, leading to a reduced correlation of 0.763. Shlyakhter et al. (1992) studied the correlation between carcinogenic potency and the MTD and the correlation between carcinogenic potencies in rats and mice by computer simulation based upon characteristics of NCI/NTP carcinogenicity tests. This investigation demonstrated that the observed correlation between carcinogenic potency and the MTD could, under certain conditions, produce a correlation which is purely artifactual. However, by comparison with actual bioassay data it was concluded that the observed correlation cannot be an artifact of constraints on the data and therefore must have some biological basis. This suggests that the observed correlation in carcinogenic potency between rats and mice cannot be attributed solely to bioassay design (particularly the MTD), so that the correlation is at least partly attributable to the biological similarity of rodent species. Freedman et al. (1992) also argue that the correlation in carcinogenic potency between rats and mice is not entirely tautological. This analysis is based on a comparison of models for interspecies correlation that are either entirely artifactual (due to constraints imposed by the MTD) or