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Chinese Journal of Hepatic Surgery(Electronic Edition) ›› 2023, Vol. 12 ›› Issue (06): 702-707. doi: 10.3877/cma.j.issn.2095-3232.2023.06.020

• Basic Research • Previous Articles     Next Articles

Analysis of CCN4 expression and its clinical significance in hepatocellular carcinoma based on bioinformatics

An Chen, Juan Feng, Zhenyu Yang, Xilin Du(), Qiangshan Bai, Jikai Yin, Li Zang, Jianguo Lu   

  1. Department of General Surgery, the Second Affiliated Hospital of Air Force Medical University (Tangdu Hospital), Xi'an 710038, China
    Department of Gastroenterology, Xi’an Fengcheng Hospital, Xi'an 710021, China
  • Received:2023-08-05 Online:2023-12-10 Published:2023-11-23
  • Contact: Xilin Du

Abstract:

Objective

To investigate the expression level and clinical significance of cellular communication network factor 4 (CCN4) gene in hepatocellular carcinoma (HCC) based on bioinformatics.

Methods

The expression level of CCN4 protein in HCC tissues and its relationship with clinicopathological parameters were analyzed by TCGA database. The correlation between the expression of CCN4 protein and tumor purity and immune cell infiltration was analyzed by TIMER database. Kaplan-Meier Plotter database was used to analyze the relationship between the expression of CCN4 protein and clinical prognosis in HCC. Protein-protein interaction (PPI) network was constructed by using STRING database, and the correlation between proteins was assessed. The relationship between CCN4 expression and clinicopathological parameters was analyzed by Chi-square test. Correlation analysis was conducted by Spearman's rank correlation.

Results

Clinical information and corresponding RNA sequencing data of 371 patients were obtained from TCGA HCC dataset. Data analysis showed that the expression of CCN4 protein in HCC patients was correlated with race, T stage and pathological G grade (χ2=9.055, 14.012, 17.163; P<0.05). Kaplan-Meier Plot demonstrated that HCC patients with high expression of CCN4 obtained shorter overall survival (HR=1.50, 95%CI: 1.05-2.14, P<0.05). TIMER database analysis showed that the expression level of CCN4 in HCC was negatively correlated with tumor purity (rs=-0.397, P<0.05), whereas positively correlated with the infiltration levels of B cells, CD8+T cells, CD4+T cells, macrophages, neutrophils, dendritic cells and M2 macrophages (rs=0.306, 0.279, 0.460, 0.490, 0.465, 0.404, 0.532; P<0.05). PPI network analysis indicated that decorin was the main protein interacting with CCN4 (score=0.953).

Conclusions

The expression level of CCN4 protein is associated with race, T stage and pathological G grade, which can be used as a biomarker for poor prognosis of HCC. The underlying mechanism may be related to the infiltration of immune cells, the polarization of M2 macrophages and the formation of stromal fibers.

Key words: Carcinoma, hepatocellular, CCN4 gene, WISP1 gene, Biomarker, Bioinformatics

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