Literature DB >> 15615616

Population genetics of tumor suppressor genes.

Yoh Iwasa1, Franziska Michor, Natalia L Komarova, Martin A Nowak.   

Abstract

Cancer emerges when a single cell receives multiple mutations. For example, the inactivation of both alleles of a tumor suppressor gene (TSG) can imply a net reproductive advantage of the cell and might lead to clonal expansion. In this paper, we calculate the probability as a function of time that a population of cells has generated at least one cell with two inactivated alleles of a TSG. Different kinetic laws hold for small and large populations. The inactivation of the first allele can either be neutral or lead to a selective advantage or disadvantage. The inactivation of the first and of the second allele can occur at equal or different rates. Our calculations provide insights into basic aspects of population genetics determining cancer initiation and progression.

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Year:  2004        PMID: 15615616     DOI: 10.1016/j.jtbi.2004.09.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  23 in total

1.  Scaling expectations for the time to establishment of complex adaptations.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

2.  The rate of establishment of complex adaptations.

Authors:  Michael Lynch; Adam Abegg
Journal:  Mol Biol Evol       Date:  2010-01-29       Impact factor: 16.240

3.  Genetic instability and clonal expansion.

Authors:  Martin A Nowak; Franziska Michor; Yoh Iwasa
Journal:  J Theor Biol       Date:  2006-01-06       Impact factor: 2.691

4.  Expectation-maximization algorithm for determining natural selection of Y-linked genes through two-sex branching processes.

Authors:  M González; C Gutiérrez; R Martínez
Journal:  J Comput Biol       Date:  2012-08-27       Impact factor: 1.479

Review 5.  Cellular hyperproliferation and cancer as evolutionary variables.

Authors:  Alejandro Sánchez Alvarado
Journal:  Curr Biol       Date:  2012-09-11       Impact factor: 10.834

6.  Evolutionary dynamics of tumor progression with random fitness values.

Authors:  Rick Durrett; Jasmine Foo; Kevin Leder; John Mayberry; Franziska Michor
Journal:  Theor Popul Biol       Date:  2010-05-19       Impact factor: 1.570

7.  Stochastic tunneling and metastable states during the somatic evolution of cancer.

Authors:  Peter Ashcroft; Franziska Michor; Tobias Galla
Journal:  Genetics       Date:  2015-01-26       Impact factor: 4.562

Review 8.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

9.  Stochastic modeling of stem-cell dynamics with control.

Authors:  Zheng Sun; Natalia L Komarova
Journal:  Math Biosci       Date:  2012-08-31       Impact factor: 2.144

10.  Intra-tumor heterogeneity of MLH1 promoter methylation revealed by deep single molecule bisulfite sequencing.

Authors:  Katherine E Varley; David G Mutch; Tina B Edmonston; Paul J Goodfellow; Robi D Mitra
Journal:  Nucleic Acids Res       Date:  2009-06-03       Impact factor: 16.971

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