PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data.

ABSTRACT:

Background

Large-sequencing cancer genome projects have shown that tumors have thousands of molecular alterations and their frequency is highly heterogeneous. In such scenarios, physicians and oncologists routinely face lists of cancer genomic alterations where only a minority of them are relevant biomarkers to drive clinical decision-making. For this reason, the medical community agrees on the urgent need of methodologies to establish the relevance of tumor alterations, assisting in genomic profile interpretation, and, more importantly, to prioritize those that could be clinically actionable for cancer therapy.

Results

We present PanDrugs, a new computational methodology to guide the selection of personalized treatments in cancer patients using the variant lists provided by

SUBMITTER: Pineiro-Yanez E 

PROVIDER: S-EPMC5977747 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature