期刊
CANCER CELL
卷 36, 期 2, 页码 179-+出版社
CELL PRESS
DOI: 10.1016/j.ccell.2019.07.001
关键词
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资金
- Chinese Academy of Sciences [XDA16020201, XDA12050104]
- National Natural Science Foundation of China [31630044, 81703093, 31801228]
- Science and Technology Commission of Shanghai Municipality [16JC1400202]
- National Major Science and Technology Projects of China [2018ZX09711002-009]
- National Special Support Plan for Top Talents
Liver cancers are highly heterogeneous with poor prognosis and drug response. A better understanding between genetic alterations and drug responses would facilitate precision treatment for liver cancers. To characterize the landscape of pharmacogenomic interactions in liver cancers, we developed a protocol to establish human liver cancer cell models at a success rate of around 50% and generated the Liver Cancer Model Repository (LIMORE) with 81 cell models. LIMORE represented genomic and transcriptomic heterogeneity of primary cancers. Interrogation of the pharmacogenomic landscape of LIMORE discovered unexplored gene-drug associations, including synthetic lethalities to prevalent alterations in liver cancers. Moreover, predictive biomarker candidates were suggested for the selection of sorafenib-responding patients. LIMORE provides a rich resource facilitating drug discovery in liver cancers.
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