Literature DB >> 2783979

Cigarette smoking and lung cancer: reanalysis of the British doctors' data.

S H Moolgavkar1, A Dewanji, G Luebeck.   

Abstract

Attention has focused recently on the recessive oncogenesis model, according to which inactivation of both alleles of specific genes leads to cancer. A mathematical formulation of this model was fitted to the lung cancer incidence data from a cohort study among British doctors. The model described the data well. One implication is that age influences lung cancer risk among smokers independently of duration of smoking. A study of dose-response within the framework of the model shows that the data are consistent with various interpretations regarding the relative importance of daily level of smoking and duration of smoking in determining lung cancer risk.

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Year:  1989        PMID: 2783979     DOI: 10.1093/jnci/81.6.415

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  12 in total

1.  Cell selection as driving force in lung and colon carcinogenesis.

Authors:  Helmut Schöllnberger; Niko Beerenwinkel; Rudolf Hoogenveen; Paolo Vineis
Journal:  Cancer Res       Date:  2010-07-23       Impact factor: 12.701

2.  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

3.  Estimation of the effects of smoking and DNA repair capacity on coefficients of a carcinogenesis model for lung cancer.

Authors:  Li Deng; Marek Kimmel; Millennia Foy; Margaret Spitz; Qingyi Wei; Olga Gorlova
Journal:  Int J Cancer       Date:  2009-05-01       Impact factor: 7.396

4.  Mechanistic Models Fit to ED001 Data on >40,000 Trout Exposed to Dibenzo[A,L]pyrene Indicate Mutations Do Not Drive Increased Tumor Risk.

Authors:  Kenneth T Bogen
Journal:  Dose Response       Date:  2014-01-10       Impact factor: 2.658

5.  Analysis of epidemiological cohort data on smoking effects and lung cancer with a multi-stage cancer model.

Authors:  H Schöllnberger; M Manuguerra; H Bijwaard; H Boshuizen; H P Altenburg; S M Rispens; M J P Brugmans; P Vineis
Journal:  Carcinogenesis       Date:  2006-01-12       Impact factor: 4.944

6.  That the effects of smoking should be measured in pack-years: misconceptions 4.

Authors:  J Peto
Journal:  Br J Cancer       Date:  2012-07-24       Impact factor: 7.640

7.  Teen smoking, field cancerization, and a "critical period" hypothesis for lung cancer susceptibility.

Authors:  John K Wiencke; Karl T Kelsey
Journal:  Environ Health Perspect       Date:  2002-06       Impact factor: 9.031

8.  Estimating lung cancer risk with exposure to environmental tobacco smoke.

Authors:  J H Lubin
Journal:  Environ Health Perspect       Date:  1999-12       Impact factor: 9.031

Review 9.  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

10.  Modeling the Complex Exposure History of Smoking in Predicting Bladder Cancer: A Pooled Analysis of 15 Case-Control Studies.

Authors:  Frits H M van Osch; Jelle Vlaanderen; Sylvia H J Jochems; Cristina Bosetti; Jerry Polesel; Stefano Porru; Angela Carta; Klaus Golka; Xuejuan Jiang; Mariana C Stern; Wei-De Zhong; Eliane Kellen; Hermann Pohlabeln; Li Tang; James Marshall; Gunnar Steineck; Margaret R Karagas; Kenneth C Johnson; Zuo-Feng Zhang; Jack A Taylor; Carlo La Vecchia; Richard T Bryan; Frederik J van Schooten; Anke Wesselius; Maurice P Zeegers
Journal:  Epidemiology       Date:  2019-05       Impact factor: 4.822

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