Identifying 13 Hub Genes Associated with Progression and Prognosis of Hepatocellular Carcinoma with Weighted Gene Co-Expression Network Analysis

Hepatocellular carcinoma (HCC) is a type of common cancer, often accompanied by tumor recurrence and metastasis after surgery with poor prognosis. Therefore, searching into potential biomarkers that can effectively predict the prognosis and progression of HCC is crucial. In this study, we identified 1,981 differentially expressed genes (DEGs) using mRNA expression profiles from the TCGA-LIHC dataset. Subsequently, weighted gene co-expression network analysis found that the turquoise module closely associated with the pathological grade and clinical stage of HCC was identified. Then, from the key genes in the turquoise module and protein-protein interaction network analysis, 13 hub genes significantly related to the prognosis of HCC were screened. Through co-expression and functional enrichment analyses, these 13 hub genes were found to play an important role in mitosis. Finally, we evaluated the relationship between these hub genes and overall survival and disease-free survival through survival analysis. The result indicated that HCC patients with high hub gene expression had a poorer prognosis than HCC patients with low expression. Receiver operating characteristic curves showed that each hub gene could predict the prognosis of HCC patients. In summary, a total of 13 hub genes were identified that play an important role in the progression of HCC, which can be used as potential biomarkers for HCC patients.