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author Thomas, Frédéric
Fisher, Daniel
Fort, Philippe
Marie, Jean-Pierre
Daoust, Simon
Roche, Benjamin
Grunau, Christoph
Cosseau, Céline
Mitta, Guillaume
Baghdiguian, Stephen
Rousset, François
Lassus, Patrice
Assenat, Eric
Grégoire, Damien
Missé, Dorothée
Lorz, Alexander
Billy, Frédérique
Vainchenker, William
Delhommeau, François
Koscielny, Serge
Itzykson, Raphael
Tang, Ruoping
Fava, Fanny
Ballesta, Annabelle
Lepoutre, Thomas
Krasinska, Liliana
Dulic, Vjekoslav
Raynaud, Peggy
Blache, Philippe
Quittau-Prevostel, Corinne
Vignal, Emmanuel
Trauchessec, Hélène
Perthame, Benoit
Clairambault, Jean
Volpert, Vitali
Solary, Eric
Hibner, Urszula
Hochberg, Michael E
author_facet Thomas, Frédéric
Fisher, Daniel
Fort, Philippe
Marie, Jean-Pierre
Daoust, Simon
Roche, Benjamin
Grunau, Christoph
Cosseau, Céline
Mitta, Guillaume
Baghdiguian, Stephen
Rousset, François
Lassus, Patrice
Assenat, Eric
Grégoire, Damien
Missé, Dorothée
Lorz, Alexander
Billy, Frédérique
Vainchenker, William
Delhommeau, François
Koscielny, Serge
Itzykson, Raphael
Tang, Ruoping
Fava, Fanny
Ballesta, Annabelle
Lepoutre, Thomas
Krasinska, Liliana
Dulic, Vjekoslav
Raynaud, Peggy
Blache, Philippe
Quittau-Prevostel, Corinne
Vignal, Emmanuel
Trauchessec, Hélène
Perthame, Benoit
Clairambault, Jean
Volpert, Vitali
Solary, Eric
Hibner, Urszula
Hochberg, Michael E
author_sort Thomas, Frédéric
collection PubMed
description Since the mid 1970s, cancer has been described as a process of Darwinian evolution, with somatic cellular selection and evolution being the fundamental processes leading to malignancy and its many manifestations (neoangiogenesis, evasion of the immune system, metastasis, and resistance to therapies). Historically, little attention has been placed on applications of evolutionary biology to understanding and controlling neoplastic progression and to prevent therapeutic failures. This is now beginning to change, and there is a growing international interest in the interface between cancer and evolutionary biology. The objective of this introduction is first to describe the basic ideas and concepts linking evolutionary biology to cancer. We then present four major fronts where the evolutionary perspective is most developed, namely laboratory and clinical models, mathematical models, databases, and techniques and assays. Finally, we discuss several of the most promising challenges and future prospects in this interdisciplinary research direction in the war against cancer.
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spelling pubmed-35674652013-02-08 Applying ecological and evolutionary theory to cancer: a long and winding road Thomas, Frédéric Fisher, Daniel Fort, Philippe Marie, Jean-Pierre Daoust, Simon Roche, Benjamin Grunau, Christoph Cosseau, Céline Mitta, Guillaume Baghdiguian, Stephen Rousset, François Lassus, Patrice Assenat, Eric Grégoire, Damien Missé, Dorothée Lorz, Alexander Billy, Frédérique Vainchenker, William Delhommeau, François Koscielny, Serge Itzykson, Raphael Tang, Ruoping Fava, Fanny Ballesta, Annabelle Lepoutre, Thomas Krasinska, Liliana Dulic, Vjekoslav Raynaud, Peggy Blache, Philippe Quittau-Prevostel, Corinne Vignal, Emmanuel Trauchessec, Hélène Perthame, Benoit Clairambault, Jean Volpert, Vitali Solary, Eric Hibner, Urszula Hochberg, Michael E Evol Appl Synthesis Since the mid 1970s, cancer has been described as a process of Darwinian evolution, with somatic cellular selection and evolution being the fundamental processes leading to malignancy and its many manifestations (neoangiogenesis, evasion of the immune system, metastasis, and resistance to therapies). Historically, little attention has been placed on applications of evolutionary biology to understanding and controlling neoplastic progression and to prevent therapeutic failures. This is now beginning to change, and there is a growing international interest in the interface between cancer and evolutionary biology. The objective of this introduction is first to describe the basic ideas and concepts linking evolutionary biology to cancer. We then present four major fronts where the evolutionary perspective is most developed, namely laboratory and clinical models, mathematical models, databases, and techniques and assays. Finally, we discuss several of the most promising challenges and future prospects in this interdisciplinary research direction in the war against cancer. Blackwell Publishing Ltd 2013-01 2012-11-16 /pmc/articles/PMC3567465/ /pubmed/23397042 http://dx.doi.org/10.1111/eva.12021 Text en Journal compilation © 2013 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Synthesis
Thomas, Frédéric
Fisher, Daniel
Fort, Philippe
Marie, Jean-Pierre
Daoust, Simon
Roche, Benjamin
Grunau, Christoph
Cosseau, Céline
Mitta, Guillaume
Baghdiguian, Stephen
Rousset, François
Lassus, Patrice
Assenat, Eric
Grégoire, Damien
Missé, Dorothée
Lorz, Alexander
Billy, Frédérique
Vainchenker, William
Delhommeau, François
Koscielny, Serge
Itzykson, Raphael
Tang, Ruoping
Fava, Fanny
Ballesta, Annabelle
Lepoutre, Thomas
Krasinska, Liliana
Dulic, Vjekoslav
Raynaud, Peggy
Blache, Philippe
Quittau-Prevostel, Corinne
Vignal, Emmanuel
Trauchessec, Hélène
Perthame, Benoit
Clairambault, Jean
Volpert, Vitali
Solary, Eric
Hibner, Urszula
Hochberg, Michael E
Applying ecological and evolutionary theory to cancer: a long and winding road
title Applying ecological and evolutionary theory to cancer: a long and winding road
title_full Applying ecological and evolutionary theory to cancer: a long and winding road
title_fullStr Applying ecological and evolutionary theory to cancer: a long and winding road
title_full_unstemmed Applying ecological and evolutionary theory to cancer: a long and winding road
title_short Applying ecological and evolutionary theory to cancer: a long and winding road
title_sort applying ecological and evolutionary theory to cancer: a long and winding road
topic Synthesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567465/
https://www.ncbi.nlm.nih.gov/pubmed/23397042
http://dx.doi.org/10.1111/eva.12021
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