Development of a multi-gene-based immune prognostic signature in ovarian Cancer.

ABSTRACT:

Background

Various components of the immune system play a critical role in the prognosis and treatment response in ovarian cancer (OC). Immunotherapy has been recognized as a hallmark of cancer but the effect is contradictional. Reliable immune gene-based prognostic biomarkers or regulatory factors are necessary to be systematically explored to develop an individualized prediction signature.

Methods

This study systematically explored the gene expression profiles in patients with ovarian cancer from RNA-seq data set for The Cancer Genome Atlas (TCGA). Differentially expressed immune genes and transcription factors (TFs) were identified using the collected immune genes from ImmPort dataset and TFs from Cistoma database. Survival associated immune genes and TFs were identified

SUBMITTER: Cao T 

PROVIDER: S-EPMC7844906 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature