The value of immunogenic cell death-related gene model in the prognosis of gastric cancer.

Immunogenic cell death (ICD) is a form of regulatory cell death that has been obtained growing attention for its role in the treatment and prognosis of tumors. This study aims to further investigate the value of immunogenic cell death-related genes (ICDRGs) in prognostic of GC. We obtained the stomach adenocarcinoma (STAD) dataset from the Gene Expression Omnibus (GEO) database and the Cancer Genome Atlas (TCGA) database, got ICDRGs from the GeneCards database, and utilized LASSO regression to construct a prognostic model. Based on the median risk score, patients were separated into high-risk and low-risk groups and differential gene expression analysis related to prognosis was obtained. We further studied the possible mechanisms, biological characteristics, and pathways of genes in different risk groups. Prognostic analysis, chromosomal localization, and ROC curve plotting were performed. Immunohistochemical analysis was conducted using the Human Protein Atlas (HPA) database. We constructed a prognostic model based on 22 ICDRGs and conducted enrichment analysis to obtain relevant biological characteristics and pathways. An 8-hub gene PPI network model was obtained. ROC curves showed that the occurrence of STAD is associated with the expression of 8 hub genes. Immunohistochemical analysis revealed higher expression levels of genes HSP90AA1, HMGB1, IFNGR1, PDIA3 in STAD tumor tissues compared to normal tissues. This research developed a prognostic model for STAD using ICDRGs and investigated the potential influence of these genes in patients with GC, providing a new direction for evaluating GC prognosis and guiding individualized treatment.