Literature DB >> 16840251

Biologically based analysis of lung cancer incidence in a large Canadian occupational cohort with low-dose ionizing radiation exposure, and comparison with Japanese atomic bomb survivors.

William D Hazelton1, Suresh H Moolgavkar, Stanley B Curtis, Jan M Zielinski, J Patrick Ashmore, Daniel Krewski.   

Abstract

Lung cancer incidence is analyzed in a large Canadian National Dose Registry (CNDR) cohort with individual annual dosimetry for low-dose occupational exposure to gamma and tritium radiation using the two-stage clonal expansion model (TSCE) and extensions of the model with up to 10 initiation steps. Models with clonal expansion turned off provide very poor fits and are rejected. Characteristic and distinct temporal patterns of excess relative risk (ERR) are found for dose response affecting early, middle, or late stages of carcinogenesis, that is, initiation with one or more stages, clonal expansion, or malignant conversion. Both fixed lag and lag distributions are used to model time from first malignant cell to incidence. Background rates are adjusted for gender and birth cohort. Lacking individual smoking data, surrogate annual smoking doses based on U.S. annual per capita cigarette consumption appear to account for much of the birth cohort effect, leaving radiation dose response relatively unchanged. The mean cumulative exposure for males receiving nonzero cumulative doses of gamma and tritium radiation was 18.2 mSv. The males have a significant dose response with 33 out of a total of 322 lung cancer cases attributable to radiation. There were 78 incident lung cancer among females, (with mean cumulative exposure of 3.8 mSv among females with nonzero exposure). The dose response for females appears smaller than for males but does not differ significantly from zero or from the male dose response. Findings for males include significant dose-response relationships for promotion and malignant conversion, but not initiation, and a protraction effect (sometimes called an inverse-dose-rate effect, where risk increases with protraction of a given dose). The dose response predicted by our analysis appears consistent with the risk for lung cancer incidence in the Japanese atomic bomb survivors cohort, provided that proper adjustments are made for duration of exposure and differences in background rate parameters.

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Year:  2006        PMID: 16840251     DOI: 10.1080/00397910500360202

Source DB:  PubMed          Journal:  J Toxicol Environ Health A        ISSN: 0098-4108


  11 in total

1.  Epidemiology Without Biology: False Paradigms, Unfounded Assumptions, and Specious Statistics in Radiation Science (with Commentaries by Inge Schmitz-Feuerhake and Christopher Busby and a Reply by the Authors).

Authors:  Bill Sacks; Gregory Meyerson; Jeffry A Siegel
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2.  Case Studies of Gastric, Lung, and Oral Cancer Connect Etiologic Agent Prevalence to Cancer Incidence.

Authors:  Andrew F Brouwer; Marisa C Eisenberg; Rafael Meza
Journal:  Cancer Res       Date:  2018-06-15       Impact factor: 12.701

3.  Modeling progression in radiation-induced lung adenocarcinomas.

Authors:  Hatim Fakir; Werner Hofmann; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2010-01-08       Impact factor: 1.925

4.  Chapter 8: The FHCRC lung cancer model.

Authors:  William D Hazelton; Jihyoun Jeon; Rafael Meza; Suresh H Moolgavkar
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

5.  A Systematic Approach to Determining the Identifiability of Multistage Carcinogenesis Models.

Authors:  Andrew F Brouwer; Rafael Meza; Marisa C Eisenberg
Journal:  Risk Anal       Date:  2016-09-09       Impact factor: 4.000

Review 6.  Systems biological and mechanistic modelling of radiation-induced cancer.

Authors:  M P Little; W F Heidenreich; S H Moolgavkar; H Schöllnberger; D C Thomas
Journal:  Radiat Environ Biophys       Date:  2007-12-21       Impact factor: 1.925

7.  Benefits and harms of computed tomography lung cancer screening strategies: a comparative modeling study for the U.S. Preventive Services Task Force.

Authors:  Harry J de Koning; Rafael Meza; Sylvia K Plevritis; Kevin ten Haaf; Vidit N Munshi; Jihyoun Jeon; Saadet Ayca Erdogan; Chung Yin Kong; Summer S Han; Joost van Rosmalen; Sung Eun Choi; Paul F Pinsky; Amy Berrington de Gonzalez; Christine D Berg; William C Black; Martin C Tammemägi; William D Hazelton; Eric J Feuer; Pamela M McMahon
Journal:  Ann Intern Med       Date:  2014-03-04       Impact factor: 25.391

8.  Radiation-induced carcinogenesis: mechanistically based differences between gamma-rays and neutrons, and interactions with DMBA.

Authors:  Igor Shuryak; David J Brenner; Robert L Ullrich
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

Review 9.  Effects of low dose and low dose rate low linear energy transfer radiation on animals - review of recent studies relevant for carcinogenesis.

Authors:  Tatjana Paunesku; Aleksandra Stevanović; Jelena Popović; Gayle E Woloschak
Journal:  Int J Radiat Biol       Date:  2021-01-06       Impact factor: 3.352

10.  Age Effects and Temporal Trends in HPV-Related and HPV-Unrelated Oral Cancer in the United States: A Multistage Carcinogenesis Modeling Analysis.

Authors:  Andrew F Brouwer; Marisa C Eisenberg; Rafael Meza
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

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