Evidence map›Paper›PMID 42245788›Full record

ArticleResearch square2026

Cross-population metabolome-wide Mendelian randomization study of prostate cancer risk.

Harriett Fuller, Rebecca Rohde, Heather M Highland, Jeffrey Haessler, Lang Wu, Mariaelisa Graff, Elizabeth A Platz, Taryn Alkis, Bing Yu, Eric Boerwinkle and 9 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

19 authors.

Harriett FullerFred Hutchinson Cancer Center.
Rebecca RohdeUniversity of North Carolina at Chapel Hill.
Heather M HighlandThe University of Texas Health Science Center at Houston School of Public Health.
Jeffrey HaesslerFred Hutchinson Cancer Center.
Lang WuLouisiana State University Health Sciences Center.
Mariaelisa GraffUniversity of North Carolina at Chapel Hill.
Elizabeth A PlatzJohn Hopkins.
Taryn AlkisThe University of Texas Health Science Center at Houston School of Public Health.
Bing YuThe University of Texas Health Science Center at Houston School of Public Health.
Eric BoerwinkleThe University of Texas Health Science Center at Houston School of Public Health.
Megan GroveThe University of Texas Health Science Center at Houston School of Public Health.
Charles KooperbergFred Hutchinson Cancer Center.
Ulrike PetersFred Hutchinson Cancer Center.
Kari E NorthThe University of Texas Health Science Center at Houston School of Public Health.
David V ContiCU Anschutz.
Christopher A HaimanUniversity of California, San Francisco.
Kristin L YoungThe University of Texas Health Science Center at Houston School of Public Health.
Rebecca E GraffUniversity of California, San Francisco.
Burcu F DarstFred Hutchinson Cancer Center.

Funding

TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng · 2023 to 2026
$10.8M
PAGE III: Population Architecture using Genomics and EpidemiologyR01HG010297 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI GIGNOUX, CHRISTOPHER R, MATISE, TARA C. · 2019 to 2022
$6.5M
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
Germline Genetics and Risk of Prostate Cancer in Diverse Populations from the All of Us ProgramR03CA287235 · NCI · FRED HUTCHINSON CANCER CENTER · PI DARST, BURCU FRANCES · 2023 to 2024
$368k
NCI NIH HHS P50 CA097186NCI NIH HHS R00 CA246063NCI NIH HHS R01 CA258808NCI NIH HHS R03 CA287235NHGRI NIH HHS R01 HG010297NHGRI NIH HHS U54 HG013243NHLBI NIH HHS R01 HL151152NHLBI NIH HHS R01 HL174378
6 · The paper itself

Abstract

Background: Prostate cancer (PCa) is the most common cancer in US men, with Black men experiencing the highest incidence rates and Black and Hispanic men experiencing higher aggressive PCa rates than White men. Metabolomic dysregulation is a cancer hallmark; however, PCa metabolomic epidemiological evidence is heterogeneous and limited in diverse populations. Methods: We conducted a metabolome-wide two-sample Mendelian randomization (MR) of PCa risk in African (AFR) and European (EUR) genetic ancestry and Hispanic (HIS) ethnicity populations. MR was performed in each population using serum metabolomic genome-wide association study (GWAS) summary statistics from ARIC (N Results: We identified 61 significant associations representing 50 unique metabolites in population-specific or cross-population analyses, with enrichment for lipids, including polyunsaturated fatty acids. Upon evaluating the strength of evidence, considering sensitivity analyses and the consistency of findings across populations, fourteen metabolites had strong evidence, including three drug-modifiable and six dietary-modifiable metabolites. Five were novel metabolites not previously reported in PCa MR studies, including two identified in AFR-specific associations: lysophospholipid 1-linoleoyl-GPE (18:20) and fatty acid hexadecanedioate, with colocalization suggesting a shared causal variant (rs28864441) between hexadecanedioate and PCa, and three identified in cross-population associations: amino acid 3-methoxytryosine, fatty acid 2-hydroxysterate, and peptide gamma-glutamylleucine. Conclusions: Our findings provide evidence of associations between serum metabolites, particularly fatty acids, and PCa development across populations. The biological mechanisms and clinical utility of these metabolites as biomarkers of PCa risk warrant further investigation.

Identifiers

PMID42245788
PMCPMC13232463

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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.