Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data.

ABSTRACT:

Background

Individualized drug response prediction is vital for achieving personalized treatment of cancer and moving precision medicine forward. Large-scale multi-omics profiles provide unprecedented opportunities for precision cancer therapy.

Methods

In this study, we propose a pipeline to identify subpathway signatures for anticancer drug response of individuals by integrating the comprehensive contributions of multiple genetic and epigenetic (gene expression, copy number variation and DNA methylation) alterations.

Results

Totally, 46 subpathway signatures associated with individual responses to different anticancer drugs were identified based on five cancer-drug response datasets. We have validated the reliability of subpathway signatures in two independent datase

SUBMITTER: Xu Y 

PROVIDER: S-EPMC6685260 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature