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

作者：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

来源：Nature Communications, 2017, 8(1): 15165.

DOI：10.1038/ncomms15165

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.

• 出版日期2017-5-10