Long interspersed nuclear element-1 hypomethylation is associated with poor outcomes via the activation of ST18 in human hepatocellular carcinoma

Medicine (Baltimore). 2021 Apr 23;100(16):e25552. doi: 10.1097/MD.0000000000025552.

Abstract

The level of long interspersed nuclear element-1 (LINE-1) methylation, representing the global deoxyribonucleic acid methylation level, could contribute to the prognosis of cancer via the activation of oncogenes. This study was performed to evaluate the prognostic implications of LINE-1 hypomethylation in patients with hepatocellular carcinoma (HCC) and the possible mechanisms related to oncogene activation.Seventy-seven HCC patients between October 2014 and September 2015 were enrolled in this prospective study. Quantitative pyrosequencing was performed to assess the LINE-1 methylation level of HCC and matched non-HCC tissue samples. The expression of suppression of tumorigenicity 18 was measured by immunohistochemistry and its correlation with LINE-1 methylation levels was examined.LINE-1 was significantly hypomethylated in the HCC tissue compared with the matched nontumor tissue (64.0 ± 11.6% vs 75.6 ± 4.0%, P < .001). LINE-1 hypomethylation was an independent risk factor for overall survival (hazard ratio = 27.291, P = .032) and disease progression (hazard ratio = 5.298, P = .005). The expression of suppression of tumorigenicity 18 was higher in the hypomethylated LINE-1 HCC tissue than the hypermethylated LINE-1 tumor tissue (P = .030).LINE-1 hypomethylation may serve as a potential prognostic marker for patients with HCC.

Publication types

  • Evaluation Study

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biopsy
  • Carcinogenesis / genetics
  • Carcinoma, Hepatocellular / genetics*
  • DNA Methylation / genetics*
  • Disease Progression
  • Female
  • Humans
  • Immunohistochemistry
  • Liver / metabolism
  • Liver Neoplasms / genetics*
  • Long Interspersed Nucleotide Elements / genetics*
  • Male
  • Middle Aged
  • Oncogenes / genetics
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Repressor Proteins / metabolism*

Substances

  • Biomarkers, Tumor
  • Repressor Proteins
  • ST18 protein, human