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Separating the Local and Malignant Dimensions of Cancer Adaptation
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 su...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728660/ https://www.ncbi.nlm.nih.gov/pubmed/31523129 http://dx.doi.org/10.1177/1176935119872954 |
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author | Roche, Benjamin Martinez, Pierre |
author_facet | Roche, Benjamin Martinez, Pierre |
author_sort | Roche, Benjamin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6728660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67286602019-09-13 Separating the Local and Malignant Dimensions of Cancer Adaptation Roche, Benjamin Martinez, Pierre Cancer Inform Commentary 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. SAGE Publications 2019-09-05 /pmc/articles/PMC6728660/ /pubmed/31523129 http://dx.doi.org/10.1177/1176935119872954 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Commentary Roche, Benjamin Martinez, Pierre Separating the Local and Malignant Dimensions of Cancer Adaptation |
title | Separating the Local and Malignant Dimensions of Cancer
Adaptation |
title_full | Separating the Local and Malignant Dimensions of Cancer
Adaptation |
title_fullStr | Separating the Local and Malignant Dimensions of Cancer
Adaptation |
title_full_unstemmed | Separating the Local and Malignant Dimensions of Cancer
Adaptation |
title_short | Separating the Local and Malignant Dimensions of Cancer
Adaptation |
title_sort | separating the local and malignant dimensions of cancer
adaptation |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728660/ https://www.ncbi.nlm.nih.gov/pubmed/31523129 http://dx.doi.org/10.1177/1176935119872954 |
work_keys_str_mv | AT rochebenjamin separatingthelocalandmalignantdimensionsofcanceradaptation AT martinezpierre separatingthelocalandmalignantdimensionsofcanceradaptation |