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Dataset Information

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


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 a

SUBMITTER: Kim DW 

PROVIDER: S-EPMC12016632 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature