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

R Ran Hu (State Key Laboratory of Water Resources Engineering and Management, Wuhan University) B Benjamin Tran (Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles) S Shuo Li M Mary L. Stackpole (EarlyDiagnostics Inc.) W Weihua Zeng (Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles) Y Yonggang Zhou (Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles) A Andrew Melehy (Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles) S Saeed Sadeghi R Richard S. Finn X Xianghong Jasmine Zhou (Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles) W Wenyuan Li (Department of Biochemistry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas 75390, United States) V Vatche G. Agopian

Abstract

Background The 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. Methods Using 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. Results The 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). Conclusions Our 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.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 4
Published April 25, 2025
Pages e0321736
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (12)

R

Ran Hu

State Key Laboratory of Water Resources Engineering and Management, Wuhan University

B

Benjamin Tran

Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles

S

Shuo Li

M

Mary L. Stackpole

EarlyDiagnostics Inc.

W

Weihua Zeng

Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles

Y

Yonggang Zhou

Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles

A

Andrew Melehy

Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles

S

Saeed Sadeghi

R

Richard S. Finn

X

Xianghong Jasmine Zhou

Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles

W

Wenyuan Li

Department of Biochemistry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas 75390, United States

V

Vatche G. Agopian