Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data

While cell lines and organoids are extensively used to study cancer, how closely they resemble the disease in patients remains unclear. Here, Liu et al. shed light on this issue by comparing the genomic and transcriptomic profiles of different breast cancer cell lines and organoids to data from pati...

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Autores principales:	Ke Liu, Patrick A. Newbury, Benjamin S. Glicksberg, William Z. D. Zeng, Shreya Paithankar, Eran R. Andrechek, Bin Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7eb9424dafc04cdfaba1f2ce0b7d5375
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spelling	oai:doaj.org-article:7eb9424dafc04cdfaba1f2ce0b7d53752021-12-02T17:02:02ZEvaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data10.1038/s41467-019-10148-62041-1723https://doaj.org/article/7eb9424dafc04cdfaba1f2ce0b7d53752019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10148-6https://doaj.org/toc/2041-1723While cell lines and organoids are extensively used to study cancer, how closely they resemble the disease in patients remains unclear. Here, Liu et al. shed light on this issue by comparing the genomic and transcriptomic profiles of different breast cancer cell lines and organoids to data from patient-derived breast cancer metastases.Ke LiuPatrick A. NewburyBenjamin S. GlicksbergWilliam Z. D. ZengShreya PaithankarEran R. AndrechekBin ChenNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ke Liu Patrick A. Newbury Benjamin S. Glicksberg William Z. D. Zeng Shreya Paithankar Eran R. Andrechek Bin Chen Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
description	While cell lines and organoids are extensively used to study cancer, how closely they resemble the disease in patients remains unclear. Here, Liu et al. shed light on this issue by comparing the genomic and transcriptomic profiles of different breast cancer cell lines and organoids to data from patient-derived breast cancer metastases.
format	article
author	Ke Liu Patrick A. Newbury Benjamin S. Glicksberg William Z. D. Zeng Shreya Paithankar Eran R. Andrechek Bin Chen
author_facet	Ke Liu Patrick A. Newbury Benjamin S. Glicksberg William Z. D. Zeng Shreya Paithankar Eran R. Andrechek Bin Chen
author_sort	Ke Liu
title	Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title_short	Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title_full	Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title_fullStr	Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title_full_unstemmed	Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title_sort	evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/7eb9424dafc04cdfaba1f2ce0b7d5375
work_keys_str_mv	AT keliu evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT patrickanewbury evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT benjaminsglicksberg evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT williamzdzeng evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT shreyapaithankar evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT eranrandrechek evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata AT binchen evaluatingcelllinesasmodelsformetastaticbreastcancerthroughintegrativeanalysisofgenomicdata
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Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data

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