Evaluation of vital genes correlated with CD8 + T cell infiltration as prognostic biomarkers in stomach adenocarcinoma

BMC Gastroenterol. 2023 Nov 17;23(1):399. doi: 10.1186/s12876-023-03003-y.

Abstract

Background: Infiltration of CD8 + T cells in the tumor microenvironment is correlated with better prognosis in various malignancies. Our study aimed to investigate vital genes correlated with CD8 + T cell infiltration in stomach adenocarcinoma (STAD) and develop a new prognostic model.

Methods: Using the STAD dataset, differentially expressed genes (DEGs) were analyzed, and co-expression networks were constructed. Combined with the CIBERSORT algorithm, the most relevant module of WGCNA with CD8 + T cell infiltration was selected for subsequent analysis. The vital genes were screened out by univariate regression analysis to establish the risk score model. The expression of the viral genes was verified by lasso regression analysis and in vitro experiments.

Results: Four CD8 + T cell infiltration-related genes (CIDEC, EPS8L3, MUC13, and PLEKHS1) were correlated with the prognosis of STAD. Based on these genes, a risk score model was established. We found that the risk score could well predict the prognosis of STAD, and the risk score was positively correlated with CD8 + T cell infiltration. The validation results of the gene expression were consistent with TCGA. Furthermore, the risk score was significantly higher in tumor tissues. The high-risk group had poorer overall survival (OS) in each subgroup.

Conclusions: Our study constructed a new risk score model for STAD prognosis, which may provide a new perspective to explore the tumor immune microenvironment mechanism in STAD.

Keywords: CD8 + T cells; Immune infiltration; Prognostic biomarkers; Stomach adenocarcinoma; Tumor microenvironment.

MeSH terms

  • Adaptor Proteins, Signal Transducing
  • Adenocarcinoma* / genetics
  • Biomarkers
  • CD8-Positive T-Lymphocytes
  • Humans
  • Prognosis
  • Stomach Neoplasms* / genetics
  • Tumor Microenvironment / genetics

Substances

  • Biomarkers
  • EPS8L3 protein, human
  • Adaptor Proteins, Signal Transducing