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A precision oncology approach to the pharmacological targeting of mechanistic dependencies in neuroendocrine tumors.
- 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.
- Subjects :
- Benzamides pharmacology
Cell Line, Tumor
Cohort Studies
Gastrointestinal Tract drug effects
Gastrointestinal Tract metabolism
Histone Deacetylase Inhibitors pharmacology
Histone Deacetylases metabolism
Humans
Intestinal Neoplasms drug therapy
Intestinal Neoplasms genetics
Neuroendocrine Tumors genetics
Pancreas drug effects
Pancreas metabolism
Pancreatic Neoplasms drug therapy
Pancreatic Neoplasms genetics
Precision Medicine methods
Pyridines pharmacology
Stomach Neoplasms drug therapy
Stomach Neoplasms genetics
Antineoplastic Agents pharmacology
Neuroendocrine Tumors drug therapy
Subjects
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