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Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale

Intratumour heterogeneity complicates biomarker discovery and treatment personalization, and pervasive cancer evolution is a key mechanism leading to therapy failure and patient death. Thus, understanding subclonal heterogeneity architectures and cancer evolution processes is critical for the develo...

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Detalles Bibliográficos
Autores principales: Barber, Louise J, Davies, Matthew N, Gerlinger, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728189/
https://www.ncbi.nlm.nih.gov/pubmed/25555261
http://dx.doi.org/10.1016/j.gde.2014.12.001
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author Barber, Louise J
Davies, Matthew N
Gerlinger, Marco
author_facet Barber, Louise J
Davies, Matthew N
Gerlinger, Marco
author_sort Barber, Louise J
collection PubMed
description Intratumour heterogeneity complicates biomarker discovery and treatment personalization, and pervasive cancer evolution is a key mechanism leading to therapy failure and patient death. Thus, understanding subclonal heterogeneity architectures and cancer evolution processes is critical for the development of effective therapeutic approaches which can control or thwart cancer evolutionary plasticity. Current insights into heterogeneity are mainly limited to the macroheterogeneity level, established by cancer subclones that have undergone significant clonal expansion. Novel single cell sequencing and blood-based subclonal tracking technologies are enabling detailed insights into microheterogeneity and the dynamics of clonal evolution. We assess how this starts to delineate the rules governing cancer evolution and novel angles for more effective therapeutic intervention.
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spelling pubmed-47281892016-02-22 Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale Barber, Louise J Davies, Matthew N Gerlinger, Marco Curr Opin Genet Dev Article Intratumour heterogeneity complicates biomarker discovery and treatment personalization, and pervasive cancer evolution is a key mechanism leading to therapy failure and patient death. Thus, understanding subclonal heterogeneity architectures and cancer evolution processes is critical for the development of effective therapeutic approaches which can control or thwart cancer evolutionary plasticity. Current insights into heterogeneity are mainly limited to the macroheterogeneity level, established by cancer subclones that have undergone significant clonal expansion. Novel single cell sequencing and blood-based subclonal tracking technologies are enabling detailed insights into microheterogeneity and the dynamics of clonal evolution. We assess how this starts to delineate the rules governing cancer evolution and novel angles for more effective therapeutic intervention. Elsevier 2015-02 /pmc/articles/PMC4728189/ /pubmed/25555261 http://dx.doi.org/10.1016/j.gde.2014.12.001 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Barber, Louise J
Davies, Matthew N
Gerlinger, Marco
Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title_full Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title_fullStr Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title_full_unstemmed Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title_short Dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
title_sort dissecting cancer evolution at the macro-heterogeneity and micro-heterogeneity scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728189/
https://www.ncbi.nlm.nih.gov/pubmed/25555261
http://dx.doi.org/10.1016/j.gde.2014.12.001
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