LEADER 05569nam 22006854a 450 001 9911019647203321 005 20200520144314.0 010 $a9786610287758 010 $a9781280287756 010 $a1280287756 010 $a9780470300084 010 $a0470300086 010 $a9780470857700 010 $a0470857706 010 $a9780470857663 010 $a0470857668 035 $a(CKB)1000000000356081 035 $a(EBL)242958 035 $a(SSID)ssj0000233739 035 $a(PQKBManifestationID)11201139 035 $a(PQKBTitleCode)TC0000233739 035 $a(PQKBWorkID)10235358 035 $a(PQKB)10874775 035 $a(MiAaPQ)EBC242958 035 $a(OCoLC)85820889 035 $a(Perlego)2767224 035 $a(EXLCZ)991000000000356081 100 $a20041129d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aRecent advances in quantitative methods for cancer and human health risk assessment /$fedited by Lutz Edler, Christos P. Kitsos 210 $aChichester, England ;$aHoboken, N.J. $cJ. Wiley$dc2005 215 $a1 online resource (504 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780470857564 311 08$a0470857560 327 $aRecent 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 variation 327 $aII 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 control 327 $a2.5.6 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 risk 327 $a3.3.2 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 cancer 327 $a5.2.2 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 hormesis 327 $a6.3.1 The -shaped and -shaped dose-response curve 330 $aHuman health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendiu 410 0$aWiley series in probability and statistics. 606 $aCancer$xRisk factors$xMathematical models 615 0$aCancer$xRisk factors$xMathematical models. 676 $a616.99/4071/015118 701 $aEdler$b Lutz$f1945-$01839788 701 $aKitsos$b Christos Par.$f1951-$0460628 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019647203321 996 $aRecent advances in quantitative methods for cancer and human health risk assessment$94419141 997 $aUNINA