Identification of an Immune-Related Signature Predicting Survival Risk and Immune Microenvironment in Gastric Cancer.

ABSTRACT: Background: Tumor immune microenvironment plays a vital role in tumorigenesis and progression of gastric cancer (GC), but potent immune biomarkers for predicting the prognosis have not been identified yet. Methods: At first, RNA-sequencing and clinical data from The Cancer Genome Atlas (TCGA) were mined to identify an immune-risk signature using least absolute shrinkage and selection operator (LASSO) regression and multivariate stepwise Cox regression analyses. Furthermore, the risk score of each sample was calculated, and GC patients were divided into high-risk group and low-risk group based on their risk scores. Subsequently, the performance of this signature, including the correlation with overall survival (OS), clinical features, immune cell infiltration, and immune respo

SUBMITTER: Dai S 

PROVIDER: S-EPMC8596572 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature