调节器
生物
神经内分泌肿瘤
癌症研究
恶性肿瘤
计算生物学
转录组
精确肿瘤学
生物信息学
精密医学
遗传学
基因
基因表达
内分泌学
作者
Mariano J. Alvarez,Prem S. Subramaniam,Laura H. Tang,Adina Grunn,Mahalaxmi Aburi,Gabrielle E. Rieckhof,Elena V. Komissarova,Elizabeth Hagan,Lisa Bodei,Paul A. Clemons,Filemon S. Dela Cruz,Deepti Dhall,Daniel Diolaiti,Douglas A. Fraker,Afshin Ghavami,Daniel Kaemmerer,Charles Karan,Mark Kidd,Kyoung M. Kim,Hee C. Kim
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2018-06-15
卷期号:50 (7): 979-989
被引量:208
标识
DOI:10.1038/s41588-018-0138-4
摘要
We introduce and validate a new precision oncology framework for the systematic prioritization of drugs targeting mechanistic tumor dependencies in individual patients. Compounds are prioritized on the basis of their ability to invert the concerted activity of master regulator proteins that mechanistically regulate tumor cell state, as assessed from systematic drug perturbation assays. We validated the approach on a cohort of 212 gastroenteropancreatic neuroendocrine tumors (GEP-NETs), a rare malignancy originating in the pancreas and gastrointestinal tract. The analysis identified several master regulator proteins, including key regulators of neuroendocrine lineage progenitor state and immunoevasion, whose role as critical tumor dependencies was experimentally confirmed. Transcriptome analysis of GEP-NET-derived cells, perturbed with a library of 107 compounds, identified the HDAC class I inhibitor entinostat as a potent inhibitor of master regulator activity for 42% of metastatic GEP-NET patients, abrogating tumor growth in vivo. This approach may thus complement current efforts in precision oncology.
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