Investigation of two ferroptosis-related molecular subtypes and biomarkers in the progression of gastric adenocarcinoma

This study aimed to investigate ferroptosis-related molecular subtypes and their potential value in gastric adenocarcinoma (GAC). Gene expression associated clinical phenotype data were downloaded from TCGA database. Unsupervised clustering was performed identify suitable subtypes, followed by a correlation analysis of factors. set variation analysis, immune infiltration, differentially expressed genes (DEGs) investigated between functional enrichment for DEGs. Univariate Cox regression used screen DEGs construct prognostic model. Of the 53 identified GAC, two further examined. These showed significant differences distribution histological grades KEGG pathways. In addition, tumor infiltration 10 cells, including Tregs natural killer significantly different subtypes. A total 660 these ultimately 12 with prognosis, GPX3, SNCG, DUSP1, FBN1, selected LASSO risk Survival that this model had better value. Finally, score an independent indicator GAC. summary, grade identified. The gene-based predicting GAC prognosis.