Literature DB >> 8768218

Calculating tumor incidence rates in stochastic models of carcinogenesis.

C J Portier1, A Kopp-Schneider, C D Sherman.   

Abstract

Multistage models of carcinogenesis are increasingly used in the estimation of risks from exposure to environmental agents. The two-stage model of carcinogenesis is routinely used because it agrees with much of the existing tumor incidence data, parallels the biological two-stage model, and has much of its mathematical details derived. However, recent findings on the mechanisms of carcinogenesis has led researchers to believe that there are a greater number of stages and a more complex structure to these models than a single pathway. In this paper, a method for readily computing tumor incidence rates for arbitrarily complex multistage models is derived. The formulas for the two-stage model with time-varying rates are given explicitly. Simple rules for more complicated models are given, and computer code able to implement these formulas are provided.

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Year:  1996        PMID: 8768218     DOI: 10.1016/0025-5564(96)00011-9

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

1.  Modeling lung cancer risk in case-control studies using a new dose metric of smoking.

Authors:  Sally W Thurston; Geoffrey Liu; David P Miller; David C Christiani
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-10       Impact factor: 4.254

2.  Mathematical modelling the pathway of genomic instability in lung cancer.

Authors:  Lingling Li; Xinan Zhang; Tianhai Tian; Liuyong Pang
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

  2 in total

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