Evidence map›Paper›PMID 41520058›Full record

SynthesisBritish journal of cancer2026

Pre-diagnostic circulating untargeted metabolomics and risk of overall and clinically significant prostate cancer: a systematic review and meta-analysis.

Harriett Fuller, Orietta P Agasaro, Jim M Guevara, Burcu F Darst

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Harriett FullerPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA. hfuller@fredhutch.org.ORCID http://orcid.org/0000-0001-8381-519X
Orietta P AgasaroPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jim M GuevaraPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Burcu F DarstPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA. bdarst@fredhutch.org.ORCID http://orcid.org/0000-0002-6205-4632

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng · 2023 to 2026
$10.8M
Pathways to Cancer Research RenewalR25CA221770 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jeanne Ting Chowning, DAVID M VANNIER · 2017 to 2026
$4.5M
An integrative multi-omics approach to characterize prostate cancer risk in diverse populationsR01CA258808 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Nicholas Mancuso · 2021 to 2026
$2.5M
Leveraging metabolomics to identify factors contributing to health disparities in Native Hawaiian individualsR01HL174378 · NHLBI · FRED HUTCHINSON CANCER CENTER · PI Burcu Frances Darst · 2024 to 2026
$2.2M
Integrating Genomics and Metabolomics to Develop Predictive Models of Prostate Cancer in Multiethnic MenR00CA246063 · NCI · FRED HUTCHINSON CANCER CENTER · PI DARST, BURCU FRANCES · 2022 to 2024
$830k
NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA097186NCI NIH HHS R00 CA246063NCI NIH HHS R01 CA258808NCI NIH HHS R25 CA221770NHGRI NIH HHS U54 HG013243NHLBI NIH HHS R01 HL174378
6 · The paper itself

Abstract

backgroundMetabolomic dysregulation contributes to prostate cancer (PCa) pathogenesis, and studies suggest that circulating metabolites have strong potential to act as clinical biomarkers. However, evidence of associations between circulating metabolites with overall and clinically significant PCa risk has not been quantitively aggregated.

methodsWe performed a systematic review and meta-analysis of untargeted pre-diagnostic circulating metabolomic studies across four clinically distinct outcomes: overall, low- to intermediate-risk, high- to very high-risk, and lethal PCa, each compared to controls.

resultsTwelve studies were identified in the systematic review, and up to 408 metabolites were meta-analysed across the four PCa outcomes. Three, eleven, and nineteen metabolites were significantly associated with risk of overall, high- to very high-risk, and lethal PCa, respectively. Metabolites associated with high- to very high-risk PCa were significantly enriched for lipids. Limited evidence of correlation between metabolite effects across outcomes was identified, highlighting potentially unique metabolite drivers of high-risk and lethal PCa. In follow-up analyses, 13 of the significant metabolites were found to be modifiable by drugs and/or diet.

conclusionsThese findings suggest a strong potential for metabolites to inform risk of lethal PCa, which could inform risk-stratified screening strategies and facilitate the identification of targets for PCa prevention.

Indexed as

Biomarkers, TumorMetabolomicsProstatic NeoplasmsHumansMaleMetabolomeRisk FactorsBiomarkers, Tumor

Identifiers

PMID41520058
PMCPMC12861587

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.