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A precision oncology approach to the pharmacological targeting of mechanistic dependencies in neuroendocrine tumors.

Nature genetics (2018-06-20)
Mariano J Alvarez, Prem S Subramaniam, Laura H Tang, Adina Grunn, Mahalaxmi Aburi, Gabrielle Rieckhof, Elena V Komissarova, Elizabeth A 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, Lakshmi P Kunju, Ülo Langel, Zhong Li, Jeeyun Lee, Hai Li, Virginia LiVolsi, Roswitha Pfragner, Allison R Rainey, Ronald B Realubit, Helen Remotti, Jakob Regberg, Robert Roses, Anil Rustgi, Antonia R Sepulveda, Stefano Serra, Chanjuan Shi, Xiaopu Yuan, Massimo Barberis, Roberto Bergamaschi, Arul M Chinnaiyan, Tony Detre, Shereen Ezzat, Andrea Frilling, Merten Hommann, Dirk Jaeger, Michelle K Kim, Beatrice S Knudsen, Andrew L Kung, Emer Leahy, David C Metz, Jeffrey W Milsom, Young S Park, Diane Reidy-Lagunes, Stuart Schreiber, Kay Washington, Bertram Wiedenmann, Irvin Modlin, Andrea Califano
RESUMEN

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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