Journal of Practical Hepatology ›› 2022, Vol. 25 ›› Issue (6): 869-872.doi: 10.3969/j.issn.1672-5069.2022.06.028

• Hepatoma • Previous Articles     Next Articles

TCGA-based study of cell necrosis-related genes as prognostic indicators in patients with hepatocellular carcinoma

Shi Qingchun, Pan Limin, Bu Fan, et al.   

  1. Heilongjiang University of Chinese Medicine,Harbin 150040,Heilongjiang Province, China
  • Received:2022-03-03 Online:2022-11-10 Published:2022-11-22

Abstract: Objective The purpose of this study was to investigate the impact of cell necrosis-related genes on prognosis of patients with hepatocellular carcinoma (HCC). Methods The mRNA data of patients with HCC and the clinical data of corresponding patients were downloaded from the Cancer Genome Atlas TCGA database. The polynecrosis-related gene prognostic models were constructed in TCGA files by using LASSO Cox regression. Results by univariate Cox regression analysis, 23 cell necrosis-related differentially expressed genes were associated with prognostic survival (P < 0.05); in this protocol, a significantly correlated prognostic model of 6 cell necrosis-related genes was constructed; the patients were divided into two groups according to the threshold of risk, and the overall survival in patients with high risk was significantly reduced as compared to in those with low risk (P<0.01); meanwhile, by multivariate Cox regression analysis, the risk score met the criteria for independent prognostic factors (P<0.01); the enrichment analysis (GO/KEGG) and one-sample gene set enrichment analysis (ssGSEA) were performed based on differentially gene levels, and the differential genes were found to be correlated to immune pathways (P<0.05). Conclusion The prognostic model we constructed by 6 cell necrosis-related genes could be applied to predict independently the prognosis of patients with HCC and provide a reference for the clinical management appropriately.

Key words: Hepatocellular carcinoma, Cell necrosis, TCGA database, Prognosis