Establishment of a 5-gene risk model related to regulatory T cells for predicting gastric cancer prognosis.

ABSTRACT:

Background

Gastric cancer (GC) is one of the high-risk cancers that lacks effective methods for prognosis prediction. Therefore, we searched for immune cells related to the prognosis of GC and studied the role of related genes in GC prognosis.

Methods

In this study, we collected the mRNA data of GC from The Cancer Genome Atlas (TCGA) database and studied the immune cells that were closely related to the prognosis of GC. Spearman correlation analysis was performed to show the association between immune cell-related genes and the differentially expressed genes (DEGs) of GC. Univariate and multivariate Cox regression analyses were conducted on the immune cell-related genes with a high correlation with GC. A prognostic risk score model was constructed and the most significant fe

SUBMITTER: Hu G 

PROVIDER: S-EPMC7470613 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature