Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.

ABSTRACT:

Background

Emerging evidence indicates that immune infiltrating cells in tumor microenvironment (TME) correlates with the development and progression of gastric cancer (GC). This study aimed to systematically investigate the immune-related genes (IRGs) to develop a prognostic signature to predict the overall survival (OS) in GC.

Method

The gene expression profiles of training dataset (GSE62254), validation dataset I (GSE15459), and validation dataset II (GSE84437) were retrieved from GEO and TCGA databases. In the present study, we developed a 10 IRGs prognostic signature with the combination of weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator method (LASSO) COX model.

Results

In the training dataset, the accurac

SUBMITTER: Chen T 

PROVIDER: S-EPMC8446556 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature