%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Roche, Benjamin
%A Martinez, P.
%T Separating the local and malignant dimensions of cancer adaptation
%D 2019
%L fdi:010076614
%G ENG
%J Cancer Informatics
%K Cancer ; genetics ; evolution ; somatic mutations ; bioinformatics
%M ISI:000484009200001
%P art. 1176935119872954 [3 ]
%R 10.1177/1176935119872954
%U https://www.documentation.ird.fr/hor/fdi:010076614
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers19-09/010076614.pdf
%V 18
%W Horizon (IRD)
%X The repeatability observed across cancers arising in the same tissue can help understand the evolutionary process of tumour initiation. We recently developed a framework to quantify the local malignant adaptation of genetic clones in tissue-specific environments, In this Commentary, we argue that such a 1-dimensional model can be improved by separating its 2 components to obtain a dual scale: local adaptation, dictating proliferation rates in the local environment, and malignant adaptation, influencing the likelihood that a clone becomes cancerous and invasive. Such a change could strengthen our understanding of the population dynamics underlying cancer initiation and assess different evolutionary scenarios.
%$ 020 ; 050 ; 122