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Biologically based models of cancer risk in radiation research.
- Source :
-
International Journal of Radiation Biology . 2021, Vol. 97 Issue 1, p2-11. 10p. - Publication Year :
- 2021
-
Abstract
- Keywords: Biologically based models of cancer risk; radiation epidemiology; molecular biology; integrative modeling; adverse outcome pathways EN Biologically based models of cancer risk radiation epidemiology molecular biology integrative modeling adverse outcome pathways 2 11 10 01/18/21 20210101 NES 210101 Introduction Increasing grasp of disease processes leading to cancer and concomitantly the establishment of observational data sets for the general population prompted the development of biologically based models of cancer risk (BBCR models) (Armitage and Doll [4]; Moolgavkar et al. [64]; Moolgavkar and Knudson [65]). In radiation epidemiology the first deployment of BBCR models occurred with the Life Span Study (LSS) of Japanese a-bomb survivors decades after their application to observational cancer data (Little et al. [55]; Little [54]; Heidenreich et al. [37]; Kai et al. [42]). Early pioneering studies of radiation risk in the LSS were based on descriptive models which linked excess rates of cancer incidence and mortality to radiation exposure by statistical association (Wakabayashi et al. [85]; Thompson et al. [82]). Persistent radiation effects and radiation-associated inflammation Radiation can modulate cancer initiation, progression, and transformation in multiple ways thereby leading to multiple cancer types. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 09553002
- Volume :
- 97
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Radiation Biology
- Publication Type :
- Academic Journal
- Accession number :
- 148112022
- Full Text :
- https://doi.org/10.1080/09553002.2020.1784490