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Scientific Issues in Quantitative Cancer Risk Assessment

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Produktbeschreibung

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.
The Clonogenic Cells of the Rat Mammary and Thyroid Glands: Their Biology, Frequency of Initiation, and Promotion/Progression to Cancer.- The Somatic Mutational Component of Human Carcinogenesis.- Two-Event Carcinogenesis: Roles of Oncogenes and Antioncogenes.- Genetic Alterations during Carcinogenesis in Rodents: Implications for Cancer Risk Assessment.- Multistage Hepatocarcinogenesis in the Rat as a Basis for Models of Risk Assessment of Carcinogenesis.- Cell Proliferation and Hepatocarcinogenesis.- Cell Growth Dynamics and DNA Alterations in Carcinogenesis.- Two Mutation Model for Carcinogenesis: Relative Roles of Somatic Mutations and Cell Proliferation in Determining Risk.- Cancer Dose-Response Models Incorporating Clonal Expansion.- Transformation and Growth of Lung Adenomas in Mice Exposed to Urethane.- Cancer Modeling with Intermittent Exposures.- Possible Role of Selective Gap Junctional Intercellular Communication in Multistage Carcinogenesis.- Interindividual Variation in Human Chemical Carcinogenesis: Implications for Risk Assessment.- Utilizing Biologically Based Models to Estimate Carcinogenic Risk.- Variability of Unit Risk Estimates under Different Statistical Models and between Different Epidemiological Data Sets.- Carcinogenic Drugs: A Model Data-base for Human Risk Quantification.- Afterword: Some Thoughts on What Was Learned and Some Science Policy Issues.
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.


Inhaltsverzeichnis



The Clonogenic Cells of the Rat Mammary and Thyroid Glands: Their Biology, Frequency of Initiation, and Promotion/Progression to Cancer.- The Somatic Mutational Component of Human Carcinogenesis.- Two-Event Carcinogenesis: Roles of Oncogenes and Antioncogenes.- Genetic Alterations during Carcinogenesis in Rodents: Implications for Cancer Risk Assessment.- Multistage Hepatocarcinogenesis in the Rat as a Basis for Models of Risk Assessment of Carcinogenesis.- Cell Proliferation and Hepatocarcinogenesis.- Cell Growth Dynamics and DNA Alterations in Carcinogenesis.- Two Mutation Model for Carcinogenesis: Relative Roles of Somatic Mutations and Cell Proliferation in Determining Risk.- Cancer Dose-Response Models Incorporating Clonal Expansion.- Transformation and Growth of Lung Adenomas in Mice Exposed to Urethane.- Cancer Modeling with Intermittent Exposures.- Possible Role of Selective Gap Junctional Intercellular Communication in Multistage Carcinogenesis.- Interindividual Variation in Human Chemical Carcinogenesis: Implications for Risk Assessment.- Utilizing Biologically Based Models to Estimate Carcinogenic Risk.- Variability of Unit Risk Estimates under Different Statistical Models and between Different Epidemiological Data Sets.- Carcinogenic Drugs: A Model Data-base for Human Risk Quantification.- Afterword: Some Thoughts on What Was Learned and Some Science Policy Issues.



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