Identification of an Immune-Related Gene Signature to Improve Prognosis Prediction in Colorectal Cancer Patients.

ABSTRACT:

Background

Despite recent advance in immune therapy, great heterogeneity exists in the outcomes of colorectal cancer (CRC) patients. In this study, we aimed to analyze the immune-related gene (IRG) expression profiles from three independent public databases and develop an effective signature to forecast patient's prognosis.

Methods

IRGs were collected from the ImmPort database. The CRC dataset from The Cancer Genome Atlas (TCGA) database was used to identify a prognostic gene signature, which was verified in another two CRC datasets from the Gene Expression Omnibus (GEO). Gene function enrichment analysis was conducted. A prognostic nomogram was built incorporating the IRG signature with clinical risk factors.

Results

The three datasets had 487, 579, and 224 patients,

SUBMITTER: Dai S 

PROVIDER: S-EPMC7746810 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature