Chromosomal copy number heterogeneity predicts survival rates across cancers

Intratumour heterogeneity (ITH) is associated with worse prognosis in cancer, and efficient frameworks to measure it are needed. Here the authors develop a method to estimate copy number heterogeneity, and propose that it is driven by chromosomal instability and can predict pan-cancer survival.

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Autores principales:	Erik van Dijk, Tom van den Bosch, Kristiaan J. Lenos, Khalid El Makrini, Lisanne E. Nijman, Hendrik F. B. van Essen, Nico Lansu, Michiel Boekhout, Joris H. Hageman, Rebecca C. Fitzgerald, Cornelis J. A. Punt, Jurriaan B. Tuynman, Hugo J. G. Snippert, Geert J. P. L. Kops, Jan Paul Medema, Bauke Ylstra, Louis Vermeulen, Daniël M. Miedema
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/264d1331d97845559b189b69b84d9dcb
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spelling	oai:doaj.org-article:264d1331d97845559b189b69b84d9dcb2021-12-02T15:49:44ZChromosomal copy number heterogeneity predicts survival rates across cancers10.1038/s41467-021-23384-62041-1723https://doaj.org/article/264d1331d97845559b189b69b84d9dcb2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23384-6https://doaj.org/toc/2041-1723Intratumour heterogeneity (ITH) is associated with worse prognosis in cancer, and efficient frameworks to measure it are needed. Here the authors develop a method to estimate copy number heterogeneity, and propose that it is driven by chromosomal instability and can predict pan-cancer survival.Erik van DijkTom van den BoschKristiaan J. LenosKhalid El MakriniLisanne E. NijmanHendrik F. B. van EssenNico LansuMichiel BoekhoutJoris H. HagemanRebecca C. FitzgeraldCornelis J. A. PuntJurriaan B. TuynmanHugo J. G. SnippertGeert J. P. L. KopsJan Paul MedemaBauke YlstraLouis VermeulenDaniël M. MiedemaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Erik van Dijk Tom van den Bosch Kristiaan J. Lenos Khalid El Makrini Lisanne E. Nijman Hendrik F. B. van Essen Nico Lansu Michiel Boekhout Joris H. Hageman Rebecca C. Fitzgerald Cornelis J. A. Punt Jurriaan B. Tuynman Hugo J. G. Snippert Geert J. P. L. Kops Jan Paul Medema Bauke Ylstra Louis Vermeulen Daniël M. Miedema Chromosomal copy number heterogeneity predicts survival rates across cancers
description	Intratumour heterogeneity (ITH) is associated with worse prognosis in cancer, and efficient frameworks to measure it are needed. Here the authors develop a method to estimate copy number heterogeneity, and propose that it is driven by chromosomal instability and can predict pan-cancer survival.
format	article
author	Erik van Dijk Tom van den Bosch Kristiaan J. Lenos Khalid El Makrini Lisanne E. Nijman Hendrik F. B. van Essen Nico Lansu Michiel Boekhout Joris H. Hageman Rebecca C. Fitzgerald Cornelis J. A. Punt Jurriaan B. Tuynman Hugo J. G. Snippert Geert J. P. L. Kops Jan Paul Medema Bauke Ylstra Louis Vermeulen Daniël M. Miedema
author_facet	Erik van Dijk Tom van den Bosch Kristiaan J. Lenos Khalid El Makrini Lisanne E. Nijman Hendrik F. B. van Essen Nico Lansu Michiel Boekhout Joris H. Hageman Rebecca C. Fitzgerald Cornelis J. A. Punt Jurriaan B. Tuynman Hugo J. G. Snippert Geert J. P. L. Kops Jan Paul Medema Bauke Ylstra Louis Vermeulen Daniël M. Miedema
author_sort	Erik van Dijk
title	Chromosomal copy number heterogeneity predicts survival rates across cancers
title_short	Chromosomal copy number heterogeneity predicts survival rates across cancers
title_full	Chromosomal copy number heterogeneity predicts survival rates across cancers
title_fullStr	Chromosomal copy number heterogeneity predicts survival rates across cancers
title_full_unstemmed	Chromosomal copy number heterogeneity predicts survival rates across cancers
title_sort	chromosomal copy number heterogeneity predicts survival rates across cancers
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/264d1331d97845559b189b69b84d9dcb
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Chromosomal copy number heterogeneity predicts survival rates across cancers

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