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Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection

The utility of cancer cell lines is affected by the similarity to endogenous tumour cells. Here we compare genomic data from 65 kidney-derived cell lines from the Cancer Cell Line Encyclopedia and the COSMIC Cell Lines Project to three renal cancer subtypes from The Cancer Genome Atlas: clear cell r...

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Autores principales: Sinha, Rileen, Winer, Andrew G., Chevinsky, Michael, Jakubowski, Christopher, Chen, Ying-Bei, Dong, Yiyu, Tickoo, Satish K., Reuter, Victor E., Russo, Paul, Coleman, Jonathan A., Sander, Chris, Hsieh, James J., Hakimi, A. Ari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436135/
https://www.ncbi.nlm.nih.gov/pubmed/28489074
http://dx.doi.org/10.1038/ncomms15165
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author Sinha, Rileen
Winer, Andrew G.
Chevinsky, Michael
Jakubowski, Christopher
Chen, Ying-Bei
Dong, Yiyu
Tickoo, Satish K.
Reuter, Victor E.
Russo, Paul
Coleman, Jonathan A.
Sander, Chris
Hsieh, James J.
Hakimi, A. Ari
author_facet Sinha, Rileen
Winer, Andrew G.
Chevinsky, Michael
Jakubowski, Christopher
Chen, Ying-Bei
Dong, Yiyu
Tickoo, Satish K.
Reuter, Victor E.
Russo, Paul
Coleman, Jonathan A.
Sander, Chris
Hsieh, James J.
Hakimi, A. Ari
author_sort Sinha, Rileen
collection PubMed
description The utility of cancer cell lines is affected by the similarity to endogenous tumour cells. Here we compare genomic data from 65 kidney-derived cell lines from the Cancer Cell Line Encyclopedia and the COSMIC Cell Lines Project to three renal cancer subtypes from The Cancer Genome Atlas: clear cell renal cell carcinoma (ccRCC, also known as kidney renal clear cell carcinoma), papillary (pRCC, also known as kidney papillary) and chromophobe (chRCC, also known as kidney chromophobe) renal cell carcinoma. Clustering copy number alterations shows that most cell lines resemble ccRCC, a few (including some often used as models of ccRCC) resemble pRCC, and none resemble chRCC. Human ccRCC tumours clustering with cell lines display clinical and genomic features of more aggressive disease, suggesting that cell lines best represent aggressive tumours. We stratify mutations and copy number alterations for important kidney cancer genes by the consistency between databases, and classify cell lines into established gene expression-based indolent and aggressive subtypes. Our results could aid investigators in analysing appropriate renal cancer cell lines.
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spelling pubmed-54361352017-05-25 Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection Sinha, Rileen Winer, Andrew G. Chevinsky, Michael Jakubowski, Christopher Chen, Ying-Bei Dong, Yiyu Tickoo, Satish K. Reuter, Victor E. Russo, Paul Coleman, Jonathan A. Sander, Chris Hsieh, James J. Hakimi, A. Ari Nat Commun Article The utility of cancer cell lines is affected by the similarity to endogenous tumour cells. Here we compare genomic data from 65 kidney-derived cell lines from the Cancer Cell Line Encyclopedia and the COSMIC Cell Lines Project to three renal cancer subtypes from The Cancer Genome Atlas: clear cell renal cell carcinoma (ccRCC, also known as kidney renal clear cell carcinoma), papillary (pRCC, also known as kidney papillary) and chromophobe (chRCC, also known as kidney chromophobe) renal cell carcinoma. Clustering copy number alterations shows that most cell lines resemble ccRCC, a few (including some often used as models of ccRCC) resemble pRCC, and none resemble chRCC. Human ccRCC tumours clustering with cell lines display clinical and genomic features of more aggressive disease, suggesting that cell lines best represent aggressive tumours. We stratify mutations and copy number alterations for important kidney cancer genes by the consistency between databases, and classify cell lines into established gene expression-based indolent and aggressive subtypes. Our results could aid investigators in analysing appropriate renal cancer cell lines. Nature Publishing Group 2017-05-10 /pmc/articles/PMC5436135/ /pubmed/28489074 http://dx.doi.org/10.1038/ncomms15165 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sinha, Rileen
Winer, Andrew G.
Chevinsky, Michael
Jakubowski, Christopher
Chen, Ying-Bei
Dong, Yiyu
Tickoo, Satish K.
Reuter, Victor E.
Russo, Paul
Coleman, Jonathan A.
Sander, Chris
Hsieh, James J.
Hakimi, A. Ari
Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title_full Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title_fullStr Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title_full_unstemmed Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title_short Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
title_sort analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436135/
https://www.ncbi.nlm.nih.gov/pubmed/28489074
http://dx.doi.org/10.1038/ncomms15165
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