Literature DB >> 1947359

A multistage model of carcinogenesis incorporating DNA damage and repair.

C J Portier1, A Kopp-Schneider.   

Abstract

Mathematical models of carcinogenesis are one tool used for research into the mechanisms of carcinogenesis and for assessing risks from exposure to carcinogenic agents. Recent research into carcinogenic mechanisms has focused on the role of cell replication in fixing damage to cellular DNA and increasing the incidence of malignancies. The most commonly used multistage model of carcinogenesis does not explicitly account for DNA damage and the contribution of cell replication rates on the transformation of cells through the various stages. In this manuscript, a generalized multistage model of carcinogenesis is developed in which DNA damage, cell replication, and DNA repair are explicitly included.

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Year:  1991        PMID: 1947359     DOI: 10.1111/j.1539-6924.1991.tb00639.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  7 in total

Review 1.  Evaluation of health risks for contaminated aquifers.

Authors:  W T Piver; T L Jacobs; M A Medina
Journal:  Environ Health Perspect       Date:  1997-02       Impact factor: 9.031

2.  Nonlinearity of dose-response functions for carcinogenicity.

Authors:  D G Hoel; C J Portier
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

Review 3.  Using cell replication data in mathematical modeling in carcinogenesis.

Authors:  C J Portier; A Kopp-Schneider; C D Sherman
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

Review 4.  Biostatistical issues in the design and analysis of animal carcinogenicity experiments.

Authors:  C J Portier
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

5.  Ten most important accomplishments in risk analysis, 1980-2010.

Authors:  Michael Greenberg; Charles Haas; Anthony Cox; Karen Lowrie; Katherine McComas; Warner North
Journal:  Risk Anal       Date:  2012-05       Impact factor: 4.000

Review 6.  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

7.  Frailty modeling of bimodal age-incidence curves of nasopharyngeal carcinoma in low-risk populations.

Authors:  Marion Haugen; Freddie Bray; Tom Grotmol; Steinar Tretli; Odd O Aalen; Tron A Moger
Journal:  Biostatistics       Date:  2009-03-29       Impact factor: 5.899

  7 in total

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