Clin Mol Hepatol.  2025 Apr;31(2):563-576. 10.3350/cmh.2024.0899.

Exploring methylation signatures for high de novo recurrence risk in hepatocellular carcinoma

Affiliations
  • 1Interdisciplinary Program of Integrated OMICS for Biomedical Science, Yonsei University, Seoul, Korea
  • 2R&D center, LepiDyne Inc, Seoul, Korea
  • 3Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
  • 4Department of Surgery, Seoul National University Hospital, Seoul, Korea
  • 5Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
  • 6Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea

Abstract

Background/Aims
Hepatocellular carcinoma (HCC) exhibits high de novo recurrence rates post-resection. Current post-surgery recurrence prediction methods are limited, emphasizing the need for reliable biomarkers to assess recurrence risk. We aimed to develop methylation-based markers for classifying HCC patients and predicting their risk of de novo recurrence post-surgery.
Methods
In this retrospective cohort study, we analyzed data from HCC patients who underwent surgical resection in Korea, excluding those with recurrence within one year post-surgery. Using the Infinium Methylation EPIC array on 140 samples in the discovery cohort, we classified patients into low- and high-risk groups based on methylation profiles. Distinctive markers were identified through random forest analysis. These markers were validated in the cancer genome atlas (n=217), Validation cohort 1 (n=63) and experimental Validation using a methylation-sensitive high-resolution melting (MS-HRM) assay in Validation cohort 1 and Validation cohort 2 (n=63).
Results
The low-risk recurrence group (methylation group 1; MG1) showed a methylation average of 0.73 (95% confidence interval [CI] 0.69–0.77) with a 23.5% recurrence rate, while the high-risk group (MG2) had an average of 0.17 (95% CI 0.14–0.20) with a 44.1% recurrence rate (P<0.03). Validation confirmed the applicability of methylation markers across diverse populations, showing high accuracy in predicting the probability of HCC recurrence risk (area under the curve 96.8%). The MS-HRM assay confirmed its effectiveness in predicting de novo recurrence with 95.5% sensitivity, 89.7% specificity, and 92.2% accuracy.
Conclusions
Methylation markers effectively classified HCC patients by de novo recurrence risk, enhancing prediction accuracy and potentially offering personalized management strategies.

Keyword

Hepatocellular carcinoma; DNA methylation; Biomarker; Recurrence; Machine learning
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