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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Main Authors:	Ke Liu, Patrick A. Newbury, Benjamin S. Glicksberg, William Z. D. Zeng, Shreya Paithankar, Eran R. Andrechek, Bin Chen
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-05-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-10148-6

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spelling	doaj-7eb9424dafc04cdfaba1f2ce0b7d53752021-05-11T12:31:35ZengNature Publishing GroupNature Communications2041-17232019-05-0110111210.1038/s41467-019-10148-6Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic dataKe Liu0Patrick A. Newbury1Benjamin S. Glicksberg2William Z. D. Zeng3Shreya Paithankar4Eran R. Andrechek5Bin Chen6Department of Pediatrics and Human Development, College of Human Medicine, Michigan State UniversityDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State UniversityBakar Computational Health Sciences Institute, University of California San FranciscoBakar Computational Health Sciences Institute, University of California San FranciscoHealth Informatics and Bioinformatics, School of Computing and Information Systems, Grand Valley State UniversityDepartment of Physiology, Michigan State UniversityDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State UniversityWhile 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.https://doi.org/10.1038/s41467-019-10148-6
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ke Liu Patrick A. Newbury Benjamin S. Glicksberg William Z. D. Zeng Shreya Paithankar Eran R. Andrechek Bin Chen
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-05-01
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.
url	https://doi.org/10.1038/s41467-019-10148-6
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Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data

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