Scientific Issues in Quantitative Cancer Risk Assessment

1. Front Matter

   Pages ii-xiii

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2. The Clonogenic Cells of the Rat Mammary and Thyroid Glands: Their Biology, Frequency of Initiation, and Promotion/Progression to Cancer

   • Kelly H. Clifton

   Pages 1-21

3. The Somatic Mutational Component of Human Carcinogenesis

   • Mortimer L. Mendelsohn

   Pages 22-31

4. Two-Event Carcinogenesis: Roles of Oncogenes and Antioncogenes

   • Alfred G. Knudson Jr.

   Pages 32-48

5. Genetic Alterations During Carcinogenesis in Rodents: Implications for Cancer Risk Assessment

   • Roger W. Wiseman

   Pages 49-68

6. Multistage Hepatocarcinogenesis in the Rat as a Basis for Models of Risk Assessment of Carcinogenesis

   • Henry C. Pitot, Mark J. Neveu, James R. Hully, Tahir A. Rizvi, Harold Campbell

   Pages 69-95

7. Cell Proliferation and Hepatocarcinogenesis

   • Michael Schwarz, Albrecht Buchmann, Larry W. Robertson, Werner Kunz

   Pages 96-115

8. Cell Growth Dynamics and DNA Alterations in Carcinogenesis

   • Samuel M. Cohen, Leon B. Ellwein

   Pages 116-135

9. Two Mutation Model for Carcinogenesis: Relative Roles of Somatic Mutations and Cell Proliferation in Determining Risk

   • Suresh H. Moolgavkar, Georg Luebeck, Mathisca de Gunst

   Pages 136-152

10. Cancer Dose-Response Models Incorporating Clonal Expansion

    • Chao W. Chen, Assad Moini

    Pages 153-175

11. Transformation and Growth of Lung Adenomas in Mice Exposed to Urethane

    • Stella Grosser, Alice S. Whittemore

    Pages 176-195

12. Cancer Modeling with Intermittent Exposures

    • Daniel Krewski, Duncan J. Murdoch

    Pages 196-214

13. Possible Role of Selective Gap Junctional Intercellular Communication in Multistage Carcinogenesis

    • Hiroshi Yamasaki, D. James Fitzgerald

    Pages 215-234

14. Interindividual Variation in Human Chemical Carcinogenesis: Implications for Risk Assessment

    • Curtis C. Harris

    Pages 235-251

15. Utilizing Biologically Based Models to Estimate Carcinogenic Risk

    • Christopher J. Portier

    Pages 252-266

16. Variability of Unit Risk Estimates under Different Statistical Models and between Different Epidemiological Data Sets

    • Heiko Becher, Jürgen Wahrendorf

    Pages 267-285

17. Carcinogenic Drugs: A Model Data-Base for Human Risk Quantification

    • J. Kaldor

    Pages 286-305

18. Afterword: Some Thoughts on What was Learned and Some Science Policy Issues

    • James D. Wilson

    Pages 306-312

In 1974, the Societal Institute of the Mathematical Sciences (SIMS) initiated.a series of five-day Research Application Conferences (RAC's) at Alta, Utah, for the purpose of probing in depth societal fields in light of their receptivity to mathematical and statistical analysis. The first 10 conferences addressed ecosys­ tems, epidemiology, energy, environmental health, time series and ecological processes, energy and health, energy conversion and fluid mechanics, environ­ mental epidemiology: risk assessment, atomic bomb survivor data: utilization and analysis, and modem statistical methods in chronic disease epidemiology. These Proceedings are a result of the eleventh conference of Scientific Issues in Quantitative Cancer Risk Assessment, which was held in 1989 at Snowbird, Utah. For five days, 45 speakers and observers contributed their expertise in the relevant biology and statistics. The presentations were timely and the discussion was both enlightening and at times spirited. This volume hopefully presents a record that will be useful both now and in the future. Suresh H. Moolgavkar of the Fred Hutchinson Cancer Research Center (Seattle, WA) and the University of Washington (Seattle) chaired the Conference. The Conference was supported by the following organizations: The Dow Chemical Company Haskell Laboratory, E.1. duPont Health and Welfare Canada International Life Sciences Institute Monsanto Company National Cancer Institute Procter & Gamble Shell Oil Company U. S. Department of Energy U.S. Environmental Protection Agency U.S. Food and Drug Administration SIMS is grateful to the above organizations for their support of this Conference. D.L. Thomsen, Jr.

• DNA
• Mathematica
• cancer
• cancer research
• carcinogenesis
• cell
• epidemiology
• growth
• mechanics
• statistics

• Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA

  Suresh H. Moolgavkar

Policies and ethics