Literature DB >> 11348585

Exploring the relationship between neutral and selective mutations in cancer.

C C Maley1, S Forrest.   

Abstract

The transformation of normal cells into cancerous cells is an evolutionary process. Populations of precancerous cells reproduce, mutate, and compete for resources. Some of these mutations eventually lead to cancer. We calculate the probability of developing cancer under a set of simplifying assumptions and then elaborate these calculations, culminating in a simple simulation of the cell dynamics. The agent-based model allows us to examine the interactions of mutations critical for the development of cancer that are either evolutionarily neutral or selective. We can also examine the interaction of these mutations with a "mutator phenotype" derived from mutations that raise the mutation rate for the entire cell. The simulations suggest that there must be at least two selectively neutral mutations necessary for the development of cancer and that preventive treatments will be most effective when they increase this number. The model also suggests that selective mutations facilitate the development of cancer, so that the more selective mutations necessary for the development of cancer, the greater the chance of developing it.

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Year:  2000        PMID: 11348585     DOI: 10.1162/106454600300103665

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  10 in total

Review 1.  New models of neoplastic progression in Barrett's oesophagus.

Authors:  Kirill Pavlov; Carlo C Maley
Journal:  Biochem Soc Trans       Date:  2010-04       Impact factor: 5.407

2.  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

3.  Stochastic dynamics of cancer initiation.

Authors:  Jasmine Foo; Kevin Leder; Franziska Michor
Journal:  Phys Biol       Date:  2011-02-07       Impact factor: 2.583

4.  The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model.

Authors:  Steffen E Eikenberry; John D Nagy; Yang Kuang
Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

5.  Genotype by random environmental interactions gives an advantage to non-favored minor alleles.

Authors:  A Mahdipour-Shirayeh; A H Darooneh; A D Long; N L Komarova; M Kohandel
Journal:  Sci Rep       Date:  2017-07-12       Impact factor: 4.379

Review 6.  Quasispecies as a matter of fact: viruses and beyond.

Authors:  Samuel Ojosnegros; Celia Perales; Antonio Mas; Esteban Domingo
Journal:  Virus Res       Date:  2011-09-16       Impact factor: 3.303

7.  Modelling the evolution of genetic instability during tumour progression.

Authors:  Ruchira S Datta; Alice Gutteridge; Charles Swanton; Carlo C Maley; Trevor A Graham
Journal:  Evol Appl       Date:  2012-11-26       Impact factor: 5.183

8.  Natural resistance to cancers: a Darwinian hypothesis to explain Peto's paradox.

Authors:  Benjamin Roche; Michael E Hochberg; Aleah F Caulin; Carlo C Maley; Robert A Gatenby; Dorothée Misse; Frédéric Thomas
Journal:  BMC Cancer       Date:  2012-09-03       Impact factor: 4.430

9.  Animal cell differentiation patterns suppress somatic evolution.

Authors:  John W Pepper; Kathleen Sprouffske; Carlo C Maley
Journal:  PLoS Comput Biol       Date:  2007-12       Impact factor: 4.475

Review 10.  A Nexus model of cellular transition in cancer.

Authors:  Mukesh Yadav; Payal Chatterjee; Simran Tolani; Jaya Kulkarni; Meenakshi Mulye; Namrata Chauhan; Aditi Sakhi; Sakshi Gorey
Journal:  Biol Res       Date:  2018-08-07       Impact factor: 5.612

  10 in total

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