Abstract: In order to screen out the characteristic genes related to clinicopathological features of hepatocellular carcinoma（HCC）, this study extracted the gene modules that related to clinical features from the differentially expressed genes between carcinoma and para-carcinoma tissues of HCC patients through weighted gene co-expression network analysis（WGCNA） in the public database. GO, KEGG enrichment and protein-protein interaction analysis were performed on the extracted gene modules to screen out essential genes. Kaplan-Meier was used to analyze the relationship between its expression and the survival of patients with liver cancer. RT-qPCR was employed to verify the selected characteristic genes in 48 pairs of liver carcinoma and para-carcinoma tissues. The results showed that modular genes are mainly involved in cell cycle, p53 signaling pathway, nuclear division and other signaling pathways and biological processes. In addition, 18 genes such as kif11 and rrm2 were closely related to the poor prognosis of HCC（P＜0.01）. RT-qPCR showed that kif11 and rrm2 were highly expressed in HCC tissues, and were positively correlated with tumor size, TNM stage, and metastasis of HCC（P＜0.05）. This study found that kif11 and rrm2 were closely related to the development and prognosis of HCC, providing preliminary evidence for further basic and clinical research, and contributing new targets for the treatment of HCC.