The differential expression of IRGs between male GC and their non-tumour counterparts was identified using package “limma” in R software [18], with the cut-off value of |log2 fold change (FC)| > 1 and false discovery rate (FDR) < 0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using the R software “clusterprofiler” package to explore potential molecular mechanisms of the differentially expressed IRGs. The “ggplot2” and “GOplot” packages in R were used for visualization of GO and KEGG enrichment analysis results.

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