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Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine
The ability to predict the future behavior of an individual cancer is crucial for precision cancer medicine. The discovery of extensive intratumor heterogeneity and ongoing clonal adaptation in human tumors substantiated the notion of cancer as an evolutionary process. Random events are inherent in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756277/ https://www.ncbi.nlm.nih.gov/pubmed/26949746 http://dx.doi.org/10.1016/j.trecan.2015.11.003 |
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author | Lipinski, Kamil A. Barber, Louise J. Davies, Matthew N. Ashenden, Matthew Sottoriva, Andrea Gerlinger, Marco |
author_facet | Lipinski, Kamil A. Barber, Louise J. Davies, Matthew N. Ashenden, Matthew Sottoriva, Andrea Gerlinger, Marco |
author_sort | Lipinski, Kamil A. |
collection | PubMed |
description | The ability to predict the future behavior of an individual cancer is crucial for precision cancer medicine. The discovery of extensive intratumor heterogeneity and ongoing clonal adaptation in human tumors substantiated the notion of cancer as an evolutionary process. Random events are inherent in evolution and tumor spatial structures hinder the efficacy of selection, which is the only deterministic evolutionary force. This review outlines how the interaction of these stochastic and deterministic processes, which have been extensively studied in evolutionary biology, limits cancer predictability and develops evolutionary strategies to improve predictions. Understanding and advancing the cancer predictability horizon is crucial to improve precision medicine outcomes. |
format | Online Article Text |
id | pubmed-4756277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-47562772016-03-02 Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine Lipinski, Kamil A. Barber, Louise J. Davies, Matthew N. Ashenden, Matthew Sottoriva, Andrea Gerlinger, Marco Trends Cancer Review The ability to predict the future behavior of an individual cancer is crucial for precision cancer medicine. The discovery of extensive intratumor heterogeneity and ongoing clonal adaptation in human tumors substantiated the notion of cancer as an evolutionary process. Random events are inherent in evolution and tumor spatial structures hinder the efficacy of selection, which is the only deterministic evolutionary force. This review outlines how the interaction of these stochastic and deterministic processes, which have been extensively studied in evolutionary biology, limits cancer predictability and develops evolutionary strategies to improve predictions. Understanding and advancing the cancer predictability horizon is crucial to improve precision medicine outcomes. Elsevier Inc 2016-01 /pmc/articles/PMC4756277/ /pubmed/26949746 http://dx.doi.org/10.1016/j.trecan.2015.11.003 Text en © 2015 Elsevier Ltd. All rights reserved. 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 | Review Lipinski, Kamil A. Barber, Louise J. Davies, Matthew N. Ashenden, Matthew Sottoriva, Andrea Gerlinger, Marco Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title | Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title_full | Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title_fullStr | Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title_full_unstemmed | Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title_short | Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine |
title_sort | cancer evolution and the limits of predictability in precision cancer medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756277/ https://www.ncbi.nlm.nih.gov/pubmed/26949746 http://dx.doi.org/10.1016/j.trecan.2015.11.003 |
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