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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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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. |
format | Online Article Text |
id | pubmed-4728189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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