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

Authors :
Alvarez MJ
Subramaniam PS
Tang LH
Grunn A
Aburi M
Rieckhof G
Komissarova EV
Hagan EA
Bodei L
Clemons PA
Dela Cruz FS
Dhall D
Diolaiti D
Fraker DA
Ghavami A
Kaemmerer D
Karan C
Kidd M
Kim KM
Kim HC
Kunju LP
Langel Ü
Li Z
Lee J
Li H
LiVolsi V
Pfragner R
Rainey AR
Realubit RB
Remotti H
Regberg J
Roses R
Rustgi A
Sepulveda AR
Serra S
Shi C
Yuan X
Barberis M
Bergamaschi R
Chinnaiyan AM
Detre T
Ezzat S
Frilling A
Hommann M
Jaeger D
Kim MK
Knudsen BS
Kung AL
Leahy E
Metz DC
Milsom JW
Park YS
Reidy-Lagunes D
Schreiber S
Washington K
Wiedenmann B
Modlin I
Califano A
Source :
Nature genetics [Nat Genet] 2018 Jul; Vol. 50 (7), pp. 979-989. Date of Electronic Publication: 2018 Jun 18.
Publication Year :
2018

Abstract

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.

Details

Language :
English
ISSN :
1546-1718
Volume :
50
Issue :
7
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
29915428
Full Text :
https://doi.org/10.1038/s41588-018-0138-4