Evidence map›Paper›PMID 40279344›Full record

ArticlePloS one2025

Noninvasive prognostication of hepatocellular carcinoma based on cell-free DNA methylation.

Ran Hu, Benjamin Tran, Shuo Li, Mary L Stackpole, Weihua Zeng, Yonggang Zhou, Andrew Melehy, Saeed Sadeghi, Richard S Finn, Xianghong Jasmine Zhou and 2 more

Abstract read
In one paragraph

Article in PloS one, 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

12 authors.

Ran HuDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0002-0563-8957
Benjamin TranDepartment of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Shuo LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Mary L StackpoleDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0003-4432-6718
Weihua ZengDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Yonggang ZhouDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Andrew MelehyDepartment of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Saeed SadeghiDepartment of Medicine, Division of Hematology/Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Richard S FinnDepartment of Medicine, Division of Hematology/Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Xianghong Jasmine ZhouDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Wenyuan LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.
Vatche G AgopianDepartment of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, United States of America.

Funding

The UCLA Center in Early Detection of Liver CancerU01CA230705 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Vatche Agopian, Samuel Wheeler French · 2018 to 2026
$6.6M
HCC EV Digital Scoring Assay for assessing treatment response in HCC patientsR01CA253651 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2020 to 2024
$3.3M
Multi-cancer early detection using cell-free DNA methylome analysisU01CA285010 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROBERT S BRESALIER, Wenyuan Li · 2023 to 2026
$3.3M
Integrated analysis of HCC CTCs for Liver Transplant Candidate SelectionR01CA246304 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2020 to 2024
$2.8M
Click Chemistry-Mediated Surface Protein Assay for Quantifying Subpopulations of Hepatocellular Carcinoma-associated Extracellular VesiclesR01CA277530 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Vatche Agopian, HSIAN-RONG TSENG · 2023 to 2026
$2.6M
Novel Computation Methods for the Analysis of Cell-Free DNA Sequence DataR01CA246329 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M., LI, WENYUAN · 2019 to 2022
$2.2M
Biomimetic NanoVilli Chips for Extracellular Vesicles in Hepatocellular CarcinomaR21CA240887 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2020 to 2021
$419k
NCI NIH HHS R01 CA246304NCI NIH HHS R01 CA246329NCI NIH HHS R01 CA253651NCI NIH HHS R01 CA277530NCI NIH HHS R21 CA240887NCI NIH HHS U01 CA230705NCI NIH HHS U01 CA285010
6 · The paper itself

Abstract

backgroundThe current noninvasive prognostic evaluation methods for hepatocellular carcinoma (HCC), which are largely reliant on radiographic imaging features and serum biomarkers such as alpha-fetoprotein (AFP), have limited effectiveness in discriminating patient outcomes. Identification of new prognostic biomarkers is a critical unmet need to improve treatment decision-making. Epigenetic changes in cell-free DNA (cfDNA) have shown promise in early cancer diagnosis and prognosis. Thus, we aim to evaluate the potential of cfDNA methylation as a noninvasive predictor for prognostication in patients with active, radiographically viable HCC.

methodsUsing Illumina HumanMethylation450 array data of 377 HCC tumors and 50 adjacent normal tissues obtained from The Cancer Genome Atlas (TCGA), we identified 158 HCC-related DNA methylation markers associated with overall survival (OS). This signature was further validated in 29 HCC tumor tissue samples. Subsequently, we applied the signature to an independent cohort of 52 patients with plasma cfDNA samples by calculating the cfDNA methylation-based risk score (methRisk) via random survival forest models with 10-fold cross-validation for the prognostication of OS.

resultsThe cfDNA-based methRisk showed strong discriminatory power when evaluated as a single predictor for OS (3-year AUC = 0.81, 95% CI: 0.68-0.94). Integrating the methRisk with existing risk indices like Barcelona clinic liver cancer (BCLC) staging significantly improved the noninvasive prognostic assessments for OS (3-year AUC = 0.91, 95% CI: 0.80-1), and methRisk remained an independent predictor of survival in the multivariate Cox model (P = 0.007).

conclusionsOur study serves as a pilot study demonstrating that cfDNA methylation biomarkers assessed from a peripheral blood draw can stratify HCC patients into clinically meaningful risk groups. These findings indicate that cfDNA methylation is a promising noninvasive prognostic biomarker for HCC, providing a proof-of-concept for its potential clinical utility and laying the groundwork for broader applications.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell-Free Nucleic AcidsDNA MethylationLiver NeoplasmsAgedFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID40279344
PMCPMC12026916

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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.