Evidence map›Paper›PMID 41282903›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Intra-tumoral epigenetic heterogeneity and aberrant molecular clocks in hepatocellular carcinoma.

Paula Restrepo, Adrian Bubie, Amanda J Craig, Daniel Cameron, Ismail Labgaa, Myron Schwartz, Swan Thung, Gustavo A Stolovitzky, Bojan Losic, Augusto Villanueva

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Paula RestrepoDepartments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029.ORCID 0000-0003-2045-2357
Adrian BubieDepartments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029.
Amanda J CraigDivision of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029.
Daniel CameronApplied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, New York.
Ismail LabgaaDepartment of Visceral Surgery, Lausanne University Hospital CHUV (Switzerland).
Myron SchwartzDepartment of Surgery, Icahn School of Medicine at Mount Sinai, New York (US).
Swan ThungDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York (US).
Gustavo A StolovitzkyDepartment of Pathology, NYU Grossman School of Medicine, New York, New York.
Bojan LosicDepartments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029.
Augusto VillanuevaDivision of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029.

Funding

Liquid biopsy and radiomics for liver cancer surveillanceU01CA283931 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR, VILLANUEVA, AUGUSTO · 2023 to 2025
$3.3M
NCI NIH HHS U01 CA283931
6 · The paper itself

Abstract

There is limited understanding of the epigenetic drivers of tumor evolution in hepatocellular carcinoma (HCC). Here we characterize the epigenetic contribution of methylation to intra-tumoral heterogeneity (mITH) using regional enhanced reduced-representation bisulfite sequencing DNA methylation data from 47 early stage, treatment-naive HCC biopsies across 9 patients by quantifying regional differential methylation across promoters and CpG islands, while overlapping with methylation age markers. Furthermore, we integrate these data with matching RNA-sequencing, targeted DNA sequencing, tumor-infiltrating lymphocyte (TIL), and hepatitis-B viral expression data. We found substantial mITH signatures in promoter and enhancer sites across 44% of patients in our cohort that highlight a novel axis of ITH that is not otherwise detectable from RNA analysis alone. Additionally, we identify an epigenetic tumoral aging measure that reflects a complex tumor fitness phenotype as a potential proxy for tumor clonality. Associating clinical outcomes with epigenetic tumoral age using 450k array data from 377 patients with HCC in the TCGA-LIHC single-biopsy cohort we found evidence implying that epigenetically old tumors have lower fitness yet higher TIL burden. Our data reveal a novel, unique epigenetic axis of ITH in HCC that merits further exploration.

Identifiers

PMID41282903
PMCPMC12633114

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.