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Integrative epigenomic profiling of hepatocellular carcinoma uncovers aberrant cis-regulatory changes and potential prognostic indicators [ChIP-seq]

GSE276132 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2025/02/28 Platform GPL18573
Summary
Hepatocellular carcinoma (HCC) exhibits widespread epigenetic aberrations; however, the underlying transcriptional regulatory landscape remains underexplored. Here, we performed integrated analyses with genome-wide profiles of the transcriptomes, histone modifications and DNA methylation from patient-derived HCC tumors and controls. We identified both global and focal epigenetic alterations including large-scale DNA methylation loss, and dysregulation of cis-regulatory elements (CREs) associated with genes involved in cell cycle control, immune responses, and extracellular matrix organization. Notably, we discovered that transcriptional upregulation of Glypican-3 (GPC3), a diagnostic biomarker and immunotherapeutic target for HCC, was linked to the reactivation of a fetal liver super-enhancer (SE). This SE, in concert with DNA hypomethylation of two CpG islands, modulated GPC3 expression. Global DNA hypomethylation also contributed to transcriptional dysregulation of retrotransposon-derived CREs. Specifically, we observed that patients with high expression of a HERVE-int-driven long non-coding RNA transcript showed poorer disease outcomes and specific molecular signatures associated with better response to immunotherapy. Our results highlight this and other retrotransposons as potential prognostic indicators and a predictive signature for immunotherapy response. Taken together, our findings provide insights into the role of epigenetic dysregulation of CREs and retrotransposons in hepatocarcinogenesis, which could benefit the clinical management of HCC.
Published in
Multi-omic analysis of hepatocellular carcinoma reveals aberrant cis-regulatory changes and dysregulated retrotransposons with prognostic potential
Cheng CCY, Cheung MF, Lee AY et al. · Communications biology 2025 · PMID 41390797 · doi:10.1038/s42003-025-09154-w
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Also filed as BioProject PRJNA1154966 and SRA study SRP529842. Searching any of these in the dataset finder brings you back here.

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