Evidence map›Paper›PMID 41043723›Full record

ArticleJournal of hepatology2026

HES V2.0 validation and performance compared to GALAD and ASAP in the HEDS cohort.

Hashem B El-Serag, Camden Lopez, Michelle Luster, K Rajender Reddy, Neehar Parikh, Amit G Singal, Jorge A Marrero, Aaron P Thrift, Jagpreet Chhatwal, Ziding Feng and 4 more

Abstract readValidation StudyComparative Study
In one paragraph

Article in Journal of hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

14 authors.

Hashem B El-SeragSection of Gastroenterology and Hepatology, Department of Medicine, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas, United States; Houston VA Health Services Research and Development Service Center of Excellence Houston, Texas, Section of Health Services Research, Michael E. DeBakey VA Medical Center, Houston, Texas, United States. Electronic address: hasheme@bcm.edu.
Camden LopezPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Michelle LusterSection of Gastroenterology and Hepatology, Department of Medicine, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas, United States.
K Rajender ReddyDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, United States.
Neehar ParikhDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Amit G SingalDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Jorge A MarreroDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, United States.
Aaron P ThriftSection of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States.
Jagpreet ChhatwalInstitute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts, United States.
Ziding FengPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Stephanie Page-LesterPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Qingchun JinDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States.
Nabihah TayobDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States.
Fasiha KanwalSection of Gastroenterology and Hepatology, Department of Medicine, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas, United States; Houston VA Health Services Research and Development Service Center of Excellence Houston, Texas, Section of Health Services Research, Michael E. DeBakey VA Medical Center, Houston, Texas, United States.

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
Prevention of Hepatocellular Carcinoma Related to Metabolic SyndromeP01CA263025 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2022 to 2026
$8.9M
Risk Stratification for and Early Detection of Liver CancerU01CA230997 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Jagpreet Chhatwal, Hashem B El-Serag · 2018 to 2026
$6.4M
Consortium on Translational Research in Early Detection of Liver Cancer:Data Management and Coordinating Center (DMCC)U24CA230144 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Ziding Feng · 2018 to 2026
$5.8M
Clinical Validation Center for Hepatocellular CarcinomaU01CA271887 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI FASIHA KANWAL, JORGE A MARRERO · 2022 to 2026
$4.7M
A New Lab Based Algorithm for HCC Surveillance in Patients with CirrhosisR01CA190776 · NCI · BAYLOR COLLEGE OF MEDICINE · PI EL-SERAG, HASHEM B · 2015 to 2018
$2.6M
Biomarker screening algorithms for the improved early detection of hepatocellular carcinomaR01CA230503 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI TAYOB, NABIHAH · 2019 to 2025
$1.6M
NCI NIH HHS P01 CA263025NCI NIH HHS R01 CA190776NCI NIH HHS R01 CA230503NCI NIH HHS U01 CA230997NCI NIH HHS U01 CA271887NCI NIH HHS U24 CA086368NCI NIH HHS U24 CA230144NIDDK NIH HHS P30 DK056338
6 · The paper itself

Abstract

BACKGROUND &

aimsWe previously developed HES V2.0, a biomarker panel (age, ALT, platelets, etiology, AFP, AFP-L3, DCP, and their 1-year gradients) for early detection of hepatocellular carcinoma (HCC) among patients with cirrhosis. We externally validated HES V2.0 and compared its performance with HES V1.0, GALAD, and ASAP.

methodsWe conducted a PRoBE (prospective specimen-collection, retrospective blinded-evaluation) cohort study in the HEDS (Hepatocellular Carcinoma Early Detection Strategy) cohort of 1,485 patients with cirrhosis, of whom 119 developed HCC. Patient- and test-level true positive rates (TPR) for HCC were calculated at 6, 12, and 24 months before diagnosis, using thresholds at a fixed false positive rate (FPR) of 10% and 18.1% (corresponding to the GALAD cut-off of -1.36).

resultsHES V2.0 and GALAD had the same AUROC (0.79) but differed in TPR/FPR profiles. At 10% FPR, HES V2.0 achieved 2.0%, 6.7%, and 6.0% higher sensitivity than GALAD at 6, 12, and 24 months before HCC diagnosis (one-sided p = 0.24, 0.025, and 0.078, respectively). At 18.1% FPR, GALAD showed 6% and 2% higher sensitivity than HES V2.0 at 6 and 12 months, respectively, and similar sensitivity at 24 months (all p >0.05). HES V2.0 demonstrated 11.9% higher sensitivity than HES V1.0 at 12 months (p = 0.007) and 10.9-16.3% higher sensitivity than ASAP. In patients with the necessary laboratory data to calculate temporal gradients, HES V2.0 outperformed GALAD by 3.5-8.7% at all time points (an 8.7-24.0% relative increase; p <0.05 for several comparisons).

conclusionsIn this phase III biomarker validation study, HES V2.0 showed higher sensitivity than ASAP and comparable or superior sensitivity to GALAD, particularly at 12 months before HCC diagnosis at 10% FPR and when temporal gradients in AFP, AFP-L3, and DCP were available. IMPACT AND IMPLICATIONS: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with early detection being critical for improving survival outcomes. This study provides a rigorous phase III validation of the HES V2.0 biomarker panel, demonstrating its superior or comparable sensitivity to established models like GALAD and ASAP in a large, diverse cirrhosis cohort from the United States. The findings are particularly impactful for clinicians and researchers focused on liver cancer surveillance, as HES V2.0 offers enhanced detection performance, especially when longitudinal biomarker data are available. These results support the integration of HES V2.0 into clinical workflows and future trials, potentially improving early HCC detection and enabling timely curative interventions for at-risk patients.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularEarly Detection of CancerLiver CirrhosisLiver NeoplasmsAgedalpha-FetoproteinsCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesSensitivity and Specificityalpha-FetoproteinsBiomarkers, Tumorbiomarkerscirrhosisearly detectionHepatitis CHepatocellular Carcinoma Early Detection Screeningscreeningsurveillance

Identifiers

PMID41043723
PMCPMC12776663

What OpenQuestion holds

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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.