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Catch my drift? Making sense of genomic intra-tumour heterogeneity()()

The cancer genome is shaped by three components of the evolutionary process: mutation, selection and drift. While many studies have focused on the first two components, the role of drift in cancer evolution has received little attention. Drift occurs when all individuals in the population have the s...

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Autores principales: Sottoriva, Andrea, Barnes, Chris P, Graham, Trevor A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Pub. Co 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446319/
https://www.ncbi.nlm.nih.gov/pubmed/28069394
http://dx.doi.org/10.1016/j.bbcan.2016.12.003
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author Sottoriva, Andrea
Barnes, Chris P
Graham, Trevor A
author_facet Sottoriva, Andrea
Barnes, Chris P
Graham, Trevor A
author_sort Sottoriva, Andrea
collection PubMed
description The cancer genome is shaped by three components of the evolutionary process: mutation, selection and drift. While many studies have focused on the first two components, the role of drift in cancer evolution has received little attention. Drift occurs when all individuals in the population have the same likelihood of producing surviving offspring, and so by definition a drifting population is one that is evolving neutrally. Here we focus on how neutral evolution is manifested in the cancer genome. We discuss how neutral passenger mutations provide a magnifying glass that reveals the evolutionary dynamics underpinning cancer development, and outline how statistical inference can be used to quantify these dynamics from sequencing data. We argue that only after we understand the impact of neutral drift on the genome can we begin to make full sense of clonal selection. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer? Edited by Dr. Robert A. Gatenby.
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spelling pubmed-54463192017-05-31 Catch my drift? Making sense of genomic intra-tumour heterogeneity()() Sottoriva, Andrea Barnes, Chris P Graham, Trevor A Biochim Biophys Acta Article The cancer genome is shaped by three components of the evolutionary process: mutation, selection and drift. While many studies have focused on the first two components, the role of drift in cancer evolution has received little attention. Drift occurs when all individuals in the population have the same likelihood of producing surviving offspring, and so by definition a drifting population is one that is evolving neutrally. Here we focus on how neutral evolution is manifested in the cancer genome. We discuss how neutral passenger mutations provide a magnifying glass that reveals the evolutionary dynamics underpinning cancer development, and outline how statistical inference can be used to quantify these dynamics from sequencing data. We argue that only after we understand the impact of neutral drift on the genome can we begin to make full sense of clonal selection. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer? Edited by Dr. Robert A. Gatenby. Elsevier Pub. Co 2017-04 /pmc/articles/PMC5446319/ /pubmed/28069394 http://dx.doi.org/10.1016/j.bbcan.2016.12.003 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sottoriva, Andrea
Barnes, Chris P
Graham, Trevor A
Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title_full Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title_fullStr Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title_full_unstemmed Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title_short Catch my drift? Making sense of genomic intra-tumour heterogeneity()()
title_sort catch my drift? making sense of genomic intra-tumour heterogeneity()()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446319/
https://www.ncbi.nlm.nih.gov/pubmed/28069394
http://dx.doi.org/10.1016/j.bbcan.2016.12.003
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