Evidence map›Paper›PMID 39916630›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2025

Prediagnostic Plasma Metabolites Are Associated with Incident Hepatocellular Carcinoma: A Prospective Analysis.

Robert M Wilechansky, Prasanna K Challa, Xijing Han, Xinwei Hua, Alisa K Manning, Kathleen E Corey, Raymond T Chung, Wei Zheng, Andrew T Chan, Tracey G Simon

Abstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2025. 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

10 authors.

Robert M WilechanskyDivision of Gastroenterology and Hepatology, Oregon Health & Science University, Portland, Oregon.ORCID 0000-0003-4593-7684
Prasanna K ChallaDivision of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0009-0007-4043-3387
Xijing HanDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0009-0003-7505-1857
Xinwei HuaDepartment of Cardiology, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-2114-2975
Alisa K ManningClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-0247-902X
Kathleen E CoreyDivision of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-2882-7264
Raymond T ChungDivision of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-7587-718X
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0003-1226-070X
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-7284-6767
Tracey G SimonDivision of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-0610-5287

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Methods and Software for Large-Scale Gene-Environment Interaction StudiesR01HL145025 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, HAN, MANNING, ALISA KNODLE · 2019 to 2023
$4.0M
Trial of Statins for Chemoprevention in Hepatocellular CarcinomaR01CA255621 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHUNG, RAYMOND T, HOSHIDA, YUJIN · 2021 to 2025
$3.6M
Aspirin and Novel Lipid Mediators in Nonalcoholic Fatty Liver DiseaseK23DK122104 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SIMON, TRACEY · 2019 to 2023
$1.1M
American Association for the Study of Liver Diseases (AASLD) CTORA24-179910Division of Diabetes, Endocrinology, and Metabolic Diseases (DEM) K23DK122014National Cancer Institute (NCI) R01CA255621National Cancer Institute (NCI) R35CA253185National Cancer Institute (NCI) U01CA202979National Heart, Lung, and Blood Institute (NHLBI) R01HL145025NCI NIH HHS R01 CA255621NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA202979NHLBI NIH HHS R01 HL145025NIDDK NIH HHS K23 DK122104NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

Despite increasing incidence of hepatocellular carcinoma (HCC) in vulnerable populations, accurate early detection tools are lacking. We aimed to investigate the associations between prediagnostic plasma metabolites and incident HCC in a diverse population. In a prospective, nested case-control study within the Southern Community Cohort Study, we conducted prediagnostic LC/MS metabolomic profiling in 150 incident HCC cases (median time to diagnosis, 7.9 years) and 100 controls with cirrhosis. Logistic regression assessed metabolite associations with HCC risk. Metabolite set enrichment analysis identified enriched pathways, and a random forest classifier was used for risk classification models. Candidate metabolites were validated in the UK Biobank (N = 12 incident HCC cases and 24 cirrhosis controls). In logistic regression analysis, seven metabolites were associated with incident HCC (MeffP < 0.0004), including N-acetylmethionine (OR = 0.46; 95% confidence interval, 0.31-0.66). Multiple pathways were enriched in HCC, including histidine and CoA metabolism (FDR P < 0.001). The random forest classifier identified 10 metabolites for inclusion in HCC risk classification models, which improved HCC risk classification compared with clinical covariates alone (AUC = 0.66 for covariates vs. 0.88 for 10 metabolites plus covariates; P < 0.0001). Findings were consistent in the UK Biobank (AUC = 0.72 for covariates vs. 0.88 for four analogous metabolites plus covariates; P = 0.04), assessed via nuclear magnetic resonance spectroscopy. Prediagnostic metabolites, primarily amino acid and sphingolipid derivatives, are associated with HCC risk and improve HCC risk classification beyond clinical covariates. These metabolite profiles, detectable years before diagnosis, could serve as early biomarkers for HCC detection and risk stratification if validated in larger studies. Prevention Relevance: Our findings support the need for larger prospective studies examining the role of prediagnostic plasma metabolomics for the preventive management of HCC in diverse patients across multiple etiologies of liver disease. This approach could improve HCC care by identifying metabolic changes years before diagnosis, potentially enhancing screening and early detection practices.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsAgedCase-Control StudiesChromatography, LiquidEarly Detection of CancerFemaleHumansIncidenceMaleMetabolomeMetabolomicsMiddle AgedProspective StudiesRisk FactorsBiomarkers, Tumor

Identifiers

PMID39916630
PMCPMC11985065

What OpenQuestion holds

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Registered trials

None linked

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.