Network-based survival analysis to discover target genes for developing cancer immunotherapies and predicting patient survival.

ABSTRACT: Recently, cancer immunotherapies have been life-savers, however, only a fraction of treated patients have durable responses. Consequently, statistical methods that enable the discovery of target genes for developing new treatments and predicting patient survival are of importance. This paper introduced a network-based survival analysis method and applied it to identify candidate genes as possible targets for developing new treatments. RNA-seq data from a mouse study was used to select differentially expressed genes, which were then translated to those in humans. We constructed a gene network and identified gene clusters using a training set of 310 human gliomas. Then we conducted gene set enrichment analysis to select the gene clusters with significant biological function. A penalized Cox

SUBMITTER: He X 

PROVIDER: S-EPMC9017538 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature