Literature DB >> 2153988

A two-mutation model for radon-induced lung tumors in rats.

S H Moolgavkar1, F T Cross, G Luebeck, G E Dagle.   

Abstract

The recessive oncogenesis model, according to which inactivation of both alleles of specific genes leads to cancer, has received much recent attention. A mathematical formulation of a two-mutation model for carcinogenesis, which includes the recessive oncogenesis model as a special case, was fitted to data from a large experimental study in which rats exposed to radon daughters developed malignant lung tumors. The model described the data well. The results indicate that fractionation of exposure increased the lifetime probability of tumor. Examination of the parameters of the model suggests that the effect of fractionation can be explained by the relative effects of radon daughters on the mutation rates and on the kinetics of growth of initiated cells. The first mutation rate is very strongly dependent upon the rate of exposure to radon daughters, the second mutation rate much less so, suggesting that the nature of the two mutational events is different. The model makes predictions which are testable in future experiments.

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Year:  1990        PMID: 2153988

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  11 in total

1.  The inverse dose-rate effect for radon induced lung cancer: a modified approach for risk modelling.

Authors:  M Kreisheimer
Journal:  Radiat Environ Biophys       Date:  2006-03-08       Impact factor: 1.925

2.  New stochastic carcinogenesis model with covariates: an approach involving intracellular barrier mechanisms.

Authors:  Igor Akushevich; Galina Veremeyeva; Julia Kravchenko; Svetlana Ukraintseva; Konstantin Arbeev; Alexander V Akleyev; Anatoly I Yashin
Journal:  Math Biosci       Date:  2011-12-17       Impact factor: 2.144

Review 3.  Cancer models, genomic instability and somatic cellular Darwinian evolution.

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

4.  Monte Carlo results for the 3-poly test for animal carcinogenicity experiments.

Authors:  W Y Tan; J H Zhang
Journal:  Environ Health Perspect       Date:  1996-08       Impact factor: 9.031

5.  Biological bases for cancer dose-response extrapolation procedures.

Authors:  J D Wilson
Journal:  Environ Health Perspect       Date:  1991-01       Impact factor: 9.031

6.  A model for dose rate and duration of exposure effects in radiation carcinogenesis.

Authors:  D C Thomas
Journal:  Environ Health Perspect       Date:  1990-07       Impact factor: 9.031

Review 7.  Methodologic research needs in environmental epidemiology: data analysis.

Authors:  R L Prentice; D Thomas
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

8.  Lung cancer risk among German male uranium miners: a cohort study, 1946-1998.

Authors:  B Grosche; M Kreuzer; M Kreisheimer; M Schnelzer; A Tschense
Journal:  Br J Cancer       Date:  2006-10-17       Impact factor: 7.640

Review 9.  Cell proliferation and carcinogenesis models: general principles with illustrations from the rodent liver system.

Authors:  S H Moolgavkar
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

Review 10.  Age-specific carcinogenesis: environmental exposure and susceptibility.

Authors:  R D Thomas
Journal:  Environ Health Perspect       Date:  1995-09       Impact factor: 9.031

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