Analysis of GO, KEGG, and GSEA
Using the R package “limma,” we identified differentially expressed genes (DEGs) by comparing patients in the high and low risk groups. The criteria for identifying DEGs were a log2 |fold change|> 1 and a false discovery rate < 0.05. To better understand the biological role and pathway of these DEGs, we employed the R packages “clusterProfiler” and “org.” The packages used are “Hs. eg. Db,” “enrichplot.” We utilized software packages for the execution of Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). The gene lists 'c5. go. v7. 4. symbols. gmt' and 'c2. cp. kegg. v7. 4. symbols. gmt' were obtained from the Molecular Signature Database (MsigDB) (