Literature DB >> 11673088

From exposure to effect: a comparison of modeling approaches to chemical carcinogenesis.

I M van Leeuwen1, C Zonneveld.   

Abstract

Standardized long-term carcinogenicity tests aim to reveal the relationship between exposure to a chemical and occurrence of a carcinogenic response. The analysis of such tests may be facilitated by the use of mathematical models. To what extent current models actually achieve this purpose is difficult to evaluate. Various aspects of chemically induced carcinogenesis are treated by different modeling approaches, which proceed very much in isolation of each other. With this paper we aim to provide for the non-mathematician a comprehensive and critical overview of models dealing with processes involved in chemical carcinogenesis. We cover the entire process of carcinogenesis, from exposure to effect. We succinctly summarize the biology underlying the models and emphasize the relationship between model assumptions and model formulations. The use of mathematics is restricted as far as possible with some additional information relegated to boxes.

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Year:  2001        PMID: 11673088     DOI: 10.1016/s1383-5742(01)00062-x

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  3 in total

1.  Crypt dynamics and colorectal cancer: advances in mathematical modelling.

Authors:  I M M van Leeuwen; H M Byrne; O E Jensen; J R King
Journal:  Cell Prolif       Date:  2006-06       Impact factor: 6.831

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

3.  Studying health histories of cancer: a new model connecting cancer incidence and survival.

Authors:  Anatoli I Yashin; Igor Akushevich; Konstantin Arbeev; Lucy Akushevich; Alexander Kulminski; Svetlana Ukraintseva
Journal:  Math Biosci       Date:  2009-01-04       Impact factor: 2.144

  3 in total

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