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Advances in understanding tumour evolution through single-cell sequencing()
The mutational heterogeneity observed within tumours poses additional challenges to the development of effective cancer treatments. A thorough understanding of a tumour's subclonal composition and its mutational history is essential to open up the design of treatments tailored to individual pat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813714/ https://www.ncbi.nlm.nih.gov/pubmed/28193548 http://dx.doi.org/10.1016/j.bbcan.2017.02.001 |
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author | Kuipers, Jack Jahn, Katharina Beerenwinkel, Niko |
author_facet | Kuipers, Jack Jahn, Katharina Beerenwinkel, Niko |
author_sort | Kuipers, Jack |
collection | PubMed |
description | The mutational heterogeneity observed within tumours poses additional challenges to the development of effective cancer treatments. A thorough understanding of a tumour's subclonal composition and its mutational history is essential to open up the design of treatments tailored to individual patients. Comparative studies on a large number of tumours permit the identification of mutational patterns which may refine forecasts of cancer progression, response to treatment and metastatic potential. The composition of tumours is shaped by evolutionary processes. Recent advances in next-generation sequencing offer the possibility to analyse the evolutionary history and accompanying heterogeneity of tumours at an unprecedented resolution, by sequencing single cells. New computational challenges arise when moving from bulk to single-cell sequencing data, leading to the development of novel modelling frameworks. In this review, we present the state of the art methods for understanding the phylogeny encoded in bulk or single-cell sequencing data, and highlight future directions for developing more comprehensive and informative pictures of tumour evolution. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby. |
format | Online Article Text |
id | pubmed-5813714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-58137142018-02-20 Advances in understanding tumour evolution through single-cell sequencing() Kuipers, Jack Jahn, Katharina Beerenwinkel, Niko Biochim Biophys Acta Rev Cancer Article The mutational heterogeneity observed within tumours poses additional challenges to the development of effective cancer treatments. A thorough understanding of a tumour's subclonal composition and its mutational history is essential to open up the design of treatments tailored to individual patients. Comparative studies on a large number of tumours permit the identification of mutational patterns which may refine forecasts of cancer progression, response to treatment and metastatic potential. The composition of tumours is shaped by evolutionary processes. Recent advances in next-generation sequencing offer the possibility to analyse the evolutionary history and accompanying heterogeneity of tumours at an unprecedented resolution, by sequencing single cells. New computational challenges arise when moving from bulk to single-cell sequencing data, leading to the development of novel modelling frameworks. In this review, we present the state of the art methods for understanding the phylogeny encoded in bulk or single-cell sequencing data, and highlight future directions for developing more comprehensive and informative pictures of tumour evolution. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby. Elsevier 2017-04 /pmc/articles/PMC5813714/ /pubmed/28193548 http://dx.doi.org/10.1016/j.bbcan.2017.02.001 Text en © 2017 The Authors. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Kuipers, Jack Jahn, Katharina Beerenwinkel, Niko Advances in understanding tumour evolution through single-cell sequencing() |
title | Advances in understanding tumour evolution through single-cell sequencing() |
title_full | Advances in understanding tumour evolution through single-cell sequencing() |
title_fullStr | Advances in understanding tumour evolution through single-cell sequencing() |
title_full_unstemmed | Advances in understanding tumour evolution through single-cell sequencing() |
title_short | Advances in understanding tumour evolution through single-cell sequencing() |
title_sort | advances in understanding tumour evolution through single-cell sequencing() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813714/ https://www.ncbi.nlm.nih.gov/pubmed/28193548 http://dx.doi.org/10.1016/j.bbcan.2017.02.001 |
work_keys_str_mv | AT kuipersjack advancesinunderstandingtumourevolutionthroughsinglecellsequencing AT jahnkatharina advancesinunderstandingtumourevolutionthroughsinglecellsequencing AT beerenwinkelniko advancesinunderstandingtumourevolutionthroughsinglecellsequencing |