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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...

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Detalles Bibliográficos
Autores principales: Lipinski, Kamil A., Barber, Louise J., Davies, Matthew N., Ashenden, Matthew, Sottoriva, Andrea, Gerlinger, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc 2016
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.
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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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