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

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. "3.1 Empirical Correlations." Issues in Risk Assessment. Washington, DC: The National Academies Press, 1993.

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Issues in Risk Assessment

human carcinogen), Group 2B (possible human carcinogens), and Group 3 (unclassifiable with respect to human carcinogenicity).

Rosenkranz & Ennever (1990) also showed that genotoxic carcinogens that demonstrated mutagenic effects in the Salmonella assay were, on average, more potent than nongenotoxic carcinogens that tested negative in Salmonella. Human carcinogens also appear to be predominantly genotoxic (Shelby et al., 1988; Bartsch & Malaveille, 1989).

Based on an examination of the potency of carcinogens evaluated by the International Agency for Research on Cancer, McGregor (1992) concluded that there did not appear to be a strong association between carcinogenic potency in rodents and genotoxicity. It was noted that the most potent rodent carcinogen (TCDD) is apparently nongenotoxic, whereas one of the least potent rodent carcinogens (phenacetin) is mutagenic in the Salmonella assay.

3. Correlation Between TD50 and the MTD
3.1 Empirical Correlations

Several investigators have noted a marked correlation between carcinogenic potency and the MDT (Bernstein et al., 1985; Gaylor, 1989; Krewski et al., 1989; Reith & Starr, 1989a). To demonstrate this relationship, we reanalyzed data in the CPDB on the 191 chemical carcinogens discussed in section 2.3. Following Gold et al. (1984), we first used the one-stage model to estimate the TD50 for each carcinogen based on the crude proportion of animals developing tumors at each dose (Figure 2a). To allow for curvilinear dose-response, the TD50 was also estimated using both the multistage and Weibull models (Figures 2b and 2c respectively). These estimates of carcinogenic potency values are all adjusted to a standard two year rodent lifetime as described in annex C. In each case, there is a strong positive association between the TD50 and the MDT, indicating that the most potent carcinogens in the database are those with the smallest MDTs.

The Pearson correlation coefficients between log10(TD50) and log10 (MDT) are 0.924, 0.952 or 0.821, depending on whether the one-stage, multistage or Weibull model is used to estimate the TD50. Note that the multistage model, which provides for curvature, yields a higher

Page
121
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 human carcinogen), Group 2B (possible human carcinogens), and Group 3 (unclassifiable with respect to human carcinogenicity). Rosenkranz & Ennever (1990) also showed that genotoxic carcinogens that demonstrated mutagenic effects in the Salmonella assay were, on average, more potent than nongenotoxic carcinogens that tested negative in Salmonella. Human carcinogens also appear to be predominantly genotoxic (Shelby et al., 1988; Bartsch & Malaveille, 1989). Based on an examination of the potency of carcinogens evaluated by the International Agency for Research on Cancer, McGregor (1992) concluded that there did not appear to be a strong association between carcinogenic potency in rodents and genotoxicity. It was noted that the most potent rodent carcinogen (TCDD) is apparently nongenotoxic, whereas one of the least potent rodent carcinogens (phenacetin) is mutagenic in the Salmonella assay. 3. Correlation Between TD50 and the MTD 3.1 Empirical Correlations Several investigators have noted a marked correlation between carcinogenic potency and the MDT (Bernstein et al., 1985; Gaylor, 1989; Krewski et al., 1989; Reith & Starr, 1989a). To demonstrate this relationship, we reanalyzed data in the CPDB on the 191 chemical carcinogens discussed in section 2.3. Following Gold et al. (1984), we first used the one-stage model to estimate the TD50 for each carcinogen based on the crude proportion of animals developing tumors at each dose (Figure 2a). To allow for curvilinear dose-response, the TD50 was also estimated using both the multistage and Weibull models (Figures 2b and 2c respectively). These estimates of carcinogenic potency values are all adjusted to a standard two year rodent lifetime as described in annex C. In each case, there is a strong positive association between the TD50 and the MDT, indicating that the most potent carcinogens in the database are those with the smallest MDTs. The Pearson correlation coefficients between log10(TD50) and log10 (MDT) are 0.924, 0.952 or 0.821, depending on whether the one-stage, multistage or Weibull model is used to estimate the TD50. Note that the multistage model, which provides for curvature, yields a higher

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Issues in Risk Assessment FIGURE 2a Association between carcinogenic potency and maximum tolerated dose.

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Issues in Risk Assessment FIGURE 2b Association between carcinogenic potency and maximum tolerated dose.

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Issues in Risk Assessment FIGURE 2c Association between carcinogenic potency and maximum tolerated dose.