Literature DB >> 8512985

Radon, cigarette smoke, and lung cancer: a re-analysis of the Colorado Plateau uranium miners' data.

S H Moolgavkar1, E G Luebeck, D Krewski, J M Zielinski.   

Abstract

Much of our knowledge regarding the interaction of radon and tobacco smoke in the etiology of human lung cancer derives from studies of uranium miners. In this article, we present a re-analysis of lung cancer mortality in the Colorado Plateau miners' cohort within the framework of the two-mutation clonal expansion model of carcinogenesis. This analysis takes into account the patterns of exposure to radon and cigarette smoke experienced by individuals in the cohort. A simultaneous re-analysis of the British doctors' cohort indicated that those model parameters relating to the effects of tobacco were comparable in the two data sets. We found no evidence of interaction between radon and tobacco smoke with respect to their joint effect on the first or second stage mutation rates or on the rate of proliferation of initiated cells. The age-specific relative risks associated with joint exposure to radon and cigarette smoke, however, were supra-additive but submultiplicative. The analysis also confirmed that fractionation of radon exposures leads to higher lung cancer risks. Finally, we present some estimates of lung cancer risk from environmental radon exposure for non-smokers and smokers.

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Year:  1993        PMID: 8512985

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  21 in total

1.  Fitting the two-stage model of carcinogenesis to nested case-control data on the Colorado Plateau uranium miners: dependence on data assumptions.

Authors:  Richard G E Haylock; Colin R Muirhead
Journal:  Radiat Environ Biophys       Date:  2003-11-15       Impact factor: 1.925

2.  Lung cancer mortality in the European uranium miners cohorts analyzed with a biologically based model taking into account radon measurement error.

Authors:  W F Heidenreich; L Tomasek; B Grosche; K Leuraud; D Laurier
Journal:  Radiat Environ Biophys       Date:  2012-05-24       Impact factor: 1.925

3.  Studies of radon-exposed miner cohorts using a biologically based model: comparison of current Czech and French data with historic data from China and Colorado.

Authors:  W F Heidenreich; L Tomásek; A Rogel; D Laurier; M Tirmarche
Journal:  Radiat Environ Biophys       Date:  2004-11-30       Impact factor: 1.925

4.  Invited commentary: is it time to retire the "pack-years" variable? Maybe not!

Authors:  Duncan C Thomas
Journal:  Am J Epidemiol       Date:  2013-12-18       Impact factor: 4.897

5.  Occupational exposure to ionising radiation and mortality among workers of the former Spanish Nuclear Energy Board.

Authors:  F Rodríguez Artalejo; S Castaño Lara; B de Andrés Manzano; M García Ferruelo; L Iglesias Martín; J R Calero
Journal:  Occup Environ Med       Date:  1997-03       Impact factor: 4.402

6.  Chapter 6: Lung cancer in never smokers: epidemiology and risk prediction models.

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

Review 7.  Cancer models, genomic instability and somatic cellular Darwinian evolution.

Authors:  Mark P Little
Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

8.  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

9.  Chapter 13: CISNET lung models: comparison of model assumptions and model structures.

Authors:  Pamela M McMahon; William D Hazelton; Marek Kimmel; Lauren D Clarke
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

Review 10.  What role for biologically based dose-response models in estimating low-dose risk?

Authors:  Kenny S Crump; Chao Chen; Weihsueh A Chiu; Thomas A Louis; Christopher J Portier; Ravi P Subramaniam; Paul D White
Journal:  Environ Health Perspect       Date:  2010-01-04       Impact factor: 9.031

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