Evidence map›Paper›PMID 40387704›Full record

ArticleMolecular carcinogenesis2025

Causal Relationship Between Blood Metabolites and Prostate Cancer Risk: A Two-Sample Mendelian Randomization Study.

Shuai Liu, Jingjing Zhu, Huizhen Zhang, Hua Zhong, Hoi Tung Hilton Wong, Liang Wang, Lang Wu

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 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. Article
  2. Article
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

7 authors.

Shuai LiuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID 0000-0003-2244-2216
Jingjing ZhuDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Huizhen ZhangPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Hua ZhongPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID 0000-0002-9358-1582
Hoi Tung Hilton WongPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Liang WangDepartment of Tumor Microenvironment and Metastasis, Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-9364-8572
Lang WuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID 0000-0001-9938-3627

Funding

Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng · 2023 to 2026
$10.8M
Uncovering causal protein markers to improve prostate cancer etiology understanding and risk prediction in Africans and EuropeansR01CA263494 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Chong Wu, Lang Wu · 2022 to 2026
$3.5M
Uncovering roles of polyunsaturated fatty acids in pancreatic cancer etiologyR00CA218892 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI WU, LANG · 2019 to 2021
$747k
NCI NIH HHS R00 CA218892NCI NIH HHS R01 CA263494NHGRI NIH HHS U54 HG013243This study is supported by the University of Hawai'i Cancer Center, NCI R00CA218892 and R01CA263494, and NHGRI/NIMHD U54HG013243.
6 · The paper itself

Abstract

Recent research has increasingly suggested an association between changes in specific blood metabolites and prostate cancer (PCa) development. However, it remains unclear whether these observed associations represent a causal relationship. To reveal the potential causal associations between blood metabolites and PCa risk, we conducted a comprehensive two-sample Mendelian randomization (MR) analysis. We used genetic instruments for 514 and 490 metabolites from two independent comprehensive genome-wide association studies. These studies included 14,295 individuals of European ancestry from the INTERVAL/EPIC-Norfolk cohorts and 8299 individuals of European ancestry from the Canadian Longitudinal Study on Aging cohort. Summary statistics of PCa risk involving 122,188 cases and 604,640 controls of European ancestry individuals were analyzed. The associations between metabolites and PCa risk were evaluated using the inverse-variance weighted method, supplemented by sensitivity analyses including MR-Egger and MR-PRESSO tests. Additionally, we conducted a phenome-wide MR analysis to assess the potential side effects of targeting the identified metabolites for PCa intervention. Our analysis revealed 107 unique blood metabolites significantly associated with PCa risk, with 43 of these associations consistently replicated using instruments from two independent data sets. This study provides novel insights into the potential role of specific metabolites in the etiology of PCa, which warrants further investigations.

Indexed as

Biomarkers, TumorMendelian Randomization AnalysisMetabolomeProstatic NeoplasmsAgedCanadaCase-Control StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsBiomarkers, Tumorblood metabolitesprostate cancerrisktwo‐sample Mendelian randomization

Identifiers

PMID40387704
PMCPMC12974314

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.