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Construction of a prognostic model based on genome-wide methylation analysis of miRNAs for hepatocellular carcinoma.

Zhaoqi ShiXiaolong LiuDuguang LiXiaoxiao FanLifeng HeDaizhan ZhouHui Lin
Published in: Epigenomics (2024)
Aim: Using the methylation level of miRNA genes to develop a prognostic model for patients with hepatocellular carcinoma (HCC). Materials & methods: least absolute shrinkage and selection operator and multivariate Cox regression analyses were performed to develop a prognostic model. One miRNA in the model was selected for verification. Results: A prognostic model was developed using eight miRNAs. The areas under the curve for predicting overall survival at 1, 3 and 5 years were 0.75, 0.81 and 0.81. miR-223 was found to be hypomethylated in 160 HCC tissues, and its methylation level was associated with Barcelona Clinic Liver Cancer stages and the prognosis of patients with HCC. Conclusion: The prognostic model based on miRNA methylation levels has the capability to partially forecast the prognosis of patients with HCC.
Keyphrases
  • genome wide
  • dna methylation
  • gene expression
  • copy number
  • long noncoding rna
  • free survival