Construction of an immune-related risk score signature for gastric cancer based on multi-omics data.

ABSTRACT: Early identification of gastric cancer (GC) is associated with a superior survival rate compared to advanced GC. However, the poor specificity and sensitivity of traditional biomarkers suggest the importance of identifying more effective biomarkers. This study aimed to identify novel biomarkers for the prognosis of GC and construct a risk score (RS) signature based on these biomarkers, with to validation of its predictive performance. We used multi-omics data from The Cancer Genome Atlas to analyze the significance of differences in each omics data and combined the data using Fisher's method. Hub genes were subsequently subjected to univariate Cox and LASSO regression analyses and used to construct the RS signature. The RS of each patient was calculated, and the patients were divided into

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10791612 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature