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ABSTRACT: Background
Chronic inflammation and immune cell dysfunction in the tumor microenvironment are key factors in the development and progression of gastric tumors. However, inflammation-related genes associated with gastric cancer prognosis and their relationship with the expression of immune genes are not fully understood.Method
In this study, we established an inflammatory response model score called "Riskscore", based on differentially expressed genes in gastric cancer. We used Survival and Survminer packages in R to analyze patient survival and prognosis in risk groups. The survival curve was plotted using the Kaplan-Meier method, and the log-rank test was used to assess statistical significance, and we performed the ROC analysis using the R language package to analyze the
SUBMITTER: Zhao W
PROVIDER: S-EPMC8343517 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature