Journal of Shandong University (Health Sciences) ›› 2022, Vol. 60 ›› Issue (5): 50-58.doi: 10.6040/j.issn.1671-7554.0.2022.0128

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Prediction of hepatocellular carcinoma prognostic genes based on bioinformatics

LI Linlin, WANG Kai   

  1. Department of Hepatology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Published:2022-06-01

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Abstract: Objective To screen hepatocellular carcinoma(HCC)prognostic genes based on bioinformatics methods and explore the action mechanism of related genes. Methods The expression of NUF2 in liver cancer tissues and normal liver tissues was studied based on the TCGA-LIHC dataset, the Gene Expression Omnibus(GEO)database, and the Ualcan database. The relationship of NUF2 expression and clinicopathological features of HCC was analyzed using the Wilcoxon rank-sum test. Survival analysis, univariate analysis of prognosis, and multivariate analysis were carried out using Kaplan-Meier method and Cox proportional risk regression model, respectively. The functional mechanisms was explored based on the GO and KEGG pathway enrichment analysis. NUF2 protein interaction network was constructed using the STRING database. The NUF2 interaction genes were analyzed using the LinkedOmics database to explore the regulatory mechanism of NUF2 in hepatocarcinogenesis. In addition, the relationship between NUF2 expression and tumor-infiltrating immune cell status was investigated using the TIMER database and CIBERSORT. Results Compared to normal liver tissues, NUF2 was significantly highly expressed in HCC tissues. Multivariable Cox regression analysis identified NUF2 as an independent risk factor in HCC, and patients with high NUF2 expression had significantly shorter overall survival than those with low NUF2 expression. In addition, the NUF2 protein interaction network was constructed by the STRING database and LinkedOmics database, and the functional analysis showed that NUF2 and its associated genes were mainly involved in nuclear division, chromosome segregation, mitosis, chemical-induced carcinogenesis, cell cycle and other processes. Finally, a high proportion of resting memory CD4T cells, activated memory CD4T cells, follicular helper T cells, regulatory T cells(Treg)and M0 macrophages was observed in patients with high NUF2 expression. Conclusion Upregulation of NUF2 in HCC tissues plays a key role in HCC development. High expression of NUF2 can serve as a potential diagnostic and prognostic marker to identify early and late HCC, improve timeliness and diagnostic and prognostic accuracy. NUF2 plays a key role in the immune mechanism during HCC tumorigenesis.

Key words: NUF2, Hepatocellular carcinoma, Prognosis, Biomarkers, Tumor immunity

CLC Number: 

  • R735.7
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