No abstract

Background: Gastric cancer(GC) refers to malignant tumor that derived from gastric epithelial cells. Ferroptosis is another programmed cell demise mode that is Fe-dependent, unique concerning apoptosis, cell necrosis, and autophagy. Current research demonstrates that ferroptosis assumes a basic part of cancer biology. Extracellular matrix(ECM) has been confirmed to play an essential role in the proliferation, apoptosis, metabolism and differentiation of tumor cells. As an important component of the tumor microenvironment, ECM interacts with the immune microenvironment and affects tumor development and progression. Methods: GC data were downloaded from the TCGA database. Furthermore, 259 ferroptosis-related genes were acquired with the FerrDb database. COX regression analysis was used to screen ferroptosis-related genes related to GC's prognosis, and these genes constructed the prediction model. The risk score of the model and clinical data of GC were further analyzed to get the correlation between the model and the overall survival(OS) rate and clinicopathological features. Finally, GO and KEGG enrichment analysis was carried out on the genes of the model. To further analyze the correlation between the genes in the model and tumor immunity, ssGSEA was used to score immune cells and calculate immune-related pathways' activity quantitatively. Results: A prognosis model was constructed according to the 11 ferroptosis-related genes related to prognosis to predict the prognosis of GC patients better. According to univariate and multivariate, risk score can be regarded as an independent predictor.Conclusions: we identified 11 ferroptosis-related genes (NOX4, NOX5, SLC1A5, GLS2, MYB, TGFBR1, NF2, ZFP36, DUSP1, SLC1A4, SP1), which affected the prognosis of GC patients.