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

Cell lines are widely-used models to study metastatic cancer although the extent to which they recapitulate the disease in patients remains unknown. The recent accumulation of genomic data provides an unprecedented opportunity to evaluate the utility of them for metastatic cancer research. Here, we...

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Autores principales: Liu, Ke, Newbury, Patrick A., Glicksberg, Benjamin S., Zeng, William Z. D., Paithankar, Shreya, Andrechek, Eran R., Chen, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520398/
https://www.ncbi.nlm.nih.gov/pubmed/31092827
http://dx.doi.org/10.1038/s41467-019-10148-6
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author Liu, Ke
Newbury, Patrick A.
Glicksberg, Benjamin S.
Zeng, William Z. D.
Paithankar, Shreya
Andrechek, Eran R.
Chen, Bin
author_facet Liu, Ke
Newbury, Patrick A.
Glicksberg, Benjamin S.
Zeng, William Z. D.
Paithankar, Shreya
Andrechek, Eran R.
Chen, Bin
author_sort Liu, Ke
collection PubMed
description Cell lines are widely-used models to study metastatic cancer although the extent to which they recapitulate the disease in patients remains unknown. The recent accumulation of genomic data provides an unprecedented opportunity to evaluate the utility of them for metastatic cancer research. Here, we reveal substantial genomic differences between breast cancer cell lines and metastatic breast cancer patient samples. We also identify cell lines that more closely resemble the different subtypes of metastatic breast cancer seen in the clinic and show that surprisingly, MDA-MB-231 cells bear little genomic similarities to basal-like metastatic breast cancer patient samples. Further comparison suggests that organoids more closely resemble the transcriptome of metastatic breast cancer samples compared to cell lines. Our work provides a guide for cell line selection in the context of breast cancer metastasis and highlights the potential of organoids in these studies.
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spelling pubmed-65203982019-05-20 Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data Liu, Ke Newbury, Patrick A. Glicksberg, Benjamin S. Zeng, William Z. D. Paithankar, Shreya Andrechek, Eran R. Chen, Bin Nat Commun Article Cell lines are widely-used models to study metastatic cancer although the extent to which they recapitulate the disease in patients remains unknown. The recent accumulation of genomic data provides an unprecedented opportunity to evaluate the utility of them for metastatic cancer research. Here, we reveal substantial genomic differences between breast cancer cell lines and metastatic breast cancer patient samples. We also identify cell lines that more closely resemble the different subtypes of metastatic breast cancer seen in the clinic and show that surprisingly, MDA-MB-231 cells bear little genomic similarities to basal-like metastatic breast cancer patient samples. Further comparison suggests that organoids more closely resemble the transcriptome of metastatic breast cancer samples compared to cell lines. Our work provides a guide for cell line selection in the context of breast cancer metastasis and highlights the potential of organoids in these studies. Nature Publishing Group UK 2019-05-15 /pmc/articles/PMC6520398/ /pubmed/31092827 http://dx.doi.org/10.1038/s41467-019-10148-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Ke
Newbury, Patrick A.
Glicksberg, Benjamin S.
Zeng, William Z. D.
Paithankar, Shreya
Andrechek, Eran R.
Chen, Bin
Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520398/
https://www.ncbi.nlm.nih.gov/pubmed/31092827
http://dx.doi.org/10.1038/s41467-019-10148-6
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