Exploration of Signature Genes and Their Correlation with Immune Cell Infiltration in Cirrhosis

Abstract

Early diagnosis of cirrhosis is crucial for improving patient prognosis. This study aims to investigate signature genes and their correlation with immune cell infiltration in cirrhosis. We utilized a liver cirrhosis patient dataset obtained from the GEO database to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and random forest analysis were employed to identify signature genes, including RGS1, DEFB1, and ANOS2P. Subsequently, gene set enrichment analysis (GSEA) revealed that these signature genes are associated with positive correlations with allograft rejection and the focal adhesion pathway. Moreover, CIBERSORT analysis suggested potential involvement of these signature genes in immune cell infiltration within cirrhotic conditions. This study enhances our understanding of cirrhosis pathogenesis and may contribute to the development of early diagnostic tools and therapeutic strategies.