Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

Abstract Identification of actionable genomic vulnerabilities is key to precision oncology. Utilizing a large-scale drug screening in patient-derived xenografts, we uncover driver gene alteration connections, derive driver co-occurrence (DCO) networks, and relate these to drug sensitivity. Our colle...

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Bibliographic Details
Main Authors: Lidia Mateo, Miquel Duran-Frigola, Albert Gris-Oliver, Marta Palafox, Maurizio Scaltriti, Pedram Razavi, Sarat Chandarlapaty, Joaquin Arribas, Meritxell Bellet, Violeta Serra, Patrick Aloy
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Genome Medicine
Subjects:
Drug-response biomarkers
Driver co-occurrence networks
Precision oncology
Online Access:http://link.springer.com/article/10.1186/s13073-020-00774-x

Internet

http://link.springer.com/article/10.1186/s13073-020-00774-x

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