Literature DB >> 16987840

The population dynamics of cancer: a Darwinian perspective.

Paolo Vineis1, Marianne Berwick.   

Abstract

Carcinogenesis, at least for some types of cancer, can be interpreted as the consequence of selection of mutated cells similar to what, in the theory of evolution, occurs at the population level. Instead of considering a population of organisms, we can refer to a population of cells belonging to multicellular organisms. Many carcinogens are mutagens, and the observed geographic distribution of cancer is, at least in part, attributable to environmental mutagens. However, the rapid change in risk for some cancers after migration suggests that carcinogenesis involves--in addition to mutations--some late event that most probably consists of the selection of cells already carrying mutations. We review a few examples of such selective pressures: finasteride in prostate cancer, vitamin supplementation in smokers, acquired resistance to chemotherapy, peripheral resistance to insulin, and sunlight and mutations in melanoma. A disease model for such a hypothesis is represented by Paroxysmal Nocturnal Hemoglobinuria (PNH). Mutations can be present at birth, as in the case of PNH, and can have a frequency much higher than the occurrence of the corresponding disease (PNH or lymphocytic leukaemia in children). However, PNH does not require a mutator phenotype, only a mutant phenotype followed by selection. A characteristic feature of cancer, instead, is likely to be the development of the mutator phenotype. We propose a 'Darwinian' model of carcinogenesis. If the model is correct, it suggests that prevention is more complex than avoiding exposure to mutagens. Mutations and genetic instability can be already present at birth. Mutations can be selected in the course of life if they increase survival advantage of the cell under certain environmental circumstances. In addition, gene-environment interactions cannot be interpreted according to a simplified linear model (based on the 'analysis of variance' concept); experimental work suggests that a more comprehensive non-linear interpretation based on the idea of 'norm of reaction' is needed.

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Year:  2006        PMID: 16987840     DOI: 10.1093/ije/dyl185

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  18 in total

1.  Identification of genes associated with tumor development in CaSki cells in the cosmic space.

Authors:  Fengjie Guo; Yalin Li; Yan Liu; Jian Huang; Zhijie Zhang; Jiajia Wang; Yuehui Li; Jinyue Hu; Guancheng Li
Journal:  Mol Biol Rep       Date:  2012-06       Impact factor: 2.316

2.  Random mutations, selected mutations: A PIN opens the door to new genetic landscapes.

Authors:  Christoph A Klein
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-20       Impact factor: 11.205

3.  Process analysis of carcinogenesis: concept derivation of the tissue function "preservation of a homogeneous gene expression".

Authors:  Thomas Löser
Journal:  Theory Biosci       Date:  2017-10-30       Impact factor: 1.919

Review 4.  Selection and mutation in the "new" genetics: an emerging hypothesis.

Authors:  Bruce Gottlieb; Lenore K Beitel; Carlos Alvarado; Mark A Trifiro
Journal:  Hum Genet       Date:  2010-01-23       Impact factor: 4.132

Review 5.  Cancer and environment: definitions and misconceptions.

Authors:  Laura A McGuinn; Armen A Ghazarian; Gary L Ellison; Chinonye E Harvey; Christine M Kaefer; Britt C Reid
Journal:  Environ Res       Date:  2011-11-17       Impact factor: 6.498

Review 6.  Cancer models, genomic instability and somatic cellular Darwinian evolution.

Authors:  Mark P Little
Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

7.  Selection in spatial stochastic models of cancer: migration as a key modulator of fitness.

Authors:  Craig J Thalhauser; John S Lowengrub; Dwayne Stupack; Natalia L Komarova
Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

8.  A stochastic model for cancer stem cell origin in metastatic colon cancer.

Authors:  Christine Odoux; Helene Fohrer; Toshitaka Hoppo; Lynda Guzik; Donna Beer Stolz; Dale W Lewis; Susanne M Gollin; T Clark Gamblin; David A Geller; Eric Lagasse
Journal:  Cancer Res       Date:  2008-09-01       Impact factor: 12.701

9.  Analysis of cancer mutation signatures in blood by a novel ultra-sensitive assay: monitoring of therapy or recurrence in non-metastatic breast cancer.

Authors:  Zhenbin Chen; Jinong Feng; Carolyn H Buzin; Qiang Liu; Lawrence Weiss; Kemp Kernstine; George Somlo; Steve S Sommer
Journal:  PLoS One       Date:  2009-09-28       Impact factor: 3.240

10.  Applying ecological and evolutionary theory to cancer: a long and winding road.

Authors:  Frédéric Thomas; Daniel Fisher; Philippe Fort; Jean-Pierre Marie; Simon Daoust; Benjamin Roche; Christoph Grunau; Céline Cosseau; Guillaume Mitta; Stephen Baghdiguian; François Rousset; Patrice Lassus; Eric Assenat; Damien Grégoire; Dorothée Missé; Alexander Lorz; Frédérique Billy; William Vainchenker; François Delhommeau; Serge Koscielny; Raphael Itzykson; Ruoping Tang; Fanny Fava; Annabelle Ballesta; Thomas Lepoutre; Liliana Krasinska; Vjekoslav Dulic; Peggy Raynaud; Philippe Blache; Corinne Quittau-Prevostel; Emmanuel Vignal; Hélène Trauchessec; Benoit Perthame; Jean Clairambault; Vitali Volpert; Eric Solary; Urszula Hibner; Michael E Hochberg
Journal:  Evol Appl       Date:  2012-11-16       Impact factor: 5.183

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