05400nam 22006134a 450 991087705980332120200520144314.01-280-28775-697866102877580-470-30008-60-470-85770-60-470-85766-8(CKB)1000000000356081(EBL)242958(SSID)ssj0000233739(PQKBManifestationID)11201139(PQKBTitleCode)TC0000233739(PQKBWorkID)10235358(PQKB)10874775(MiAaPQ)EBC242958(OCoLC)85820889(EXLCZ)99100000000035608120041129d2005 uy 0engur|n|---|||||txtccrRecent advances in quantitative methods for cancer and human health risk assessment /edited by Lutz Edler, Christos P. KitsosChichester, England ;Hoboken, N.J. J. Wileyc20051 online resource (504 p.)Wiley series in probability and statisticsDescription based upon print version of record.0-470-85756-0 Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment; Contents; Contributors; Preface; Introduction; I CANCER AND HUMAN HEALTH RISK ASSESSMENT Introductory remarks; 1. Principles of Cancer Risk Assessment: The Risk Assessment Paradigm; 1.1 The risk assessment paradigm; 1.2 Hazard identification; 1.3 Dose-response assessment; 1.3.1 Different objectives, different data sets, different approaches; 1.3.2 Extrapolations in dose-response assessment; 1.3.3 Safety assessment; 1.3.4 Modelling to estimate risk at low doses; 1.3.5 Uncertainty and human variationII BIOLOGICAL ASPECTS OF CARCINOGENESIS Introductory remarks2. Molecular Epidemiology in Cancer Research; 2.1 Introduction; 2.2 From carcinogen exposure to cancer; 2.3 Biomarkers; 2.3.1 Biomarkers of exposure; 2.3.2 Biomarkers of susceptibility; 2.3.3 Biomarkers of effect; 2.4 Validation of biomarkers; 2.4.1 Study design; 2.4.2 Genetic and statistical analysis; 2.4.3 Sample size requirements; 2.4.4 Sources of potential bias; 2.5 Factors influencing cancer risk; 2.5.1 Environmental factors; 2.5.2 Genetic factors; 2.5.3 Carcinogen metabolism; 2.5.4 DNA repair; 2.5.5 Cell cycle control2.5.6 Immune status2.6 New tools in molecular epidemiology; 2.6.1 Microarrays and toxicogenomics; 2.6.2 Proteomics; 2.6.3 Promising directions for cancer diagnosis and cancer biomarker discovery; 2.7 Conclusions; 3. Genetic Polymorphisms in Metabolising Enzymes as Lung Cancer Risk Factors; 3.1 Introduction; 3.1.1 Studies investigating genetic polymorphisms as lung cancer risk factors; 3.2 Methodological aspects; 3.2.1 Planning of the study; 3.2.2 Laboratory analyses; 3.2.3 Statistical analyses; 3.3 Examples; 3.3.1 N-Acetyltransferases (NAT1 and NAT2) and lung cancer risk3.3.2 Glutathione-S-transferases and lung cancer risk3.3.3 Myeloperoxidase and lung cancer risk; 3.3.4 CYP3A4 and CYP3A5 and lung cancer risk; 3.4 Discussion; Acknowledgements; 4. Biological Carcinogenesis: Theories and Models; 4.1 Introduction; 4.2 Models of human carcinogenesis; 4.2.1 Prostate cancer; 4.2.2 Colorectal cancer; 4.2.3 Endometrial cancer; 4.3 The multistage mouse skin carcinogenesis model; 4.4 Epilogue; 5. Biological and Mathematical Aspects of Multistage Carcinogenesis; 5.1 Introduction; 5.2 Features of multistage carcinogenesis; 5.2.1 Colorectal cancer5.2.2 The role of genomic instability in colon cancer5.2.3 Barrett's esophagus; 5.2.4 Intermediate lesions; 5.3 Generalized TSCE model; 5.3.1 Model building; 5.3.2 Mathematical development and the hazard function; 5.4 Modeling cancer incidence; 5.4.1 Age-cohort-period models; 5.4.2 Age-specific incidence; 5.4.3 Colorectal cancer in the SEER registry; 5.4.4 Analysis of occupational cohort data; 5.5 Summary; 6. Risk Assessment and Chemical and Radiation Hormesis: A Short Commentary and Bibliographic Review; 6.1 Introduction; 6.2 The concept of hormesis; 6.3 Chemical hormesis6.3.1 The -shaped and -shaped dose-response curveHuman health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendiuWiley series in probability and statistics.CancerRisk factorsMathematical modelsCancerRisk factorsMathematical models.616.99/4071/015118Edler Lutz1945-1760956Kitsos Christos Par.1951-460628MiAaPQMiAaPQMiAaPQBOOK9910877059803321Recent advances in quantitative methods for cancer and human health risk assessment4200118UNINA