Evidence map›Paper›PMID 41353205›Full record

ArticleNature communications2025

Proteome-wide association study of prostate cancer risk across populations.

Hua Zhong, Jingjing Zhu, Shuai Liu, Chong Wu, Liang Wang, Seamus P Whelton, Catherine H Marshall, Michael J Blaha, Peter Durda, Xiuqing Guo and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. 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

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

22 authors.

Hua Zhong *Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Jingjing Zhu *Department of Interdisciplinary Oncology and Department of Genetics, LSU-LCMC Health Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Shuai LiuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Chong WuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-8400-1785
Liang WangDepartment of Tumor Microenvironment and Metastasis, Moffitt Cancer Center, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-9364-8572
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Catherine H MarshallDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Michael J BlahaDepartment of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
Peter DurdaLaboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0002-5264-5068
Craig W JohnsonCollaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3161-3753
Henry J LinThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0001-6771-0486
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Russell P TracyLaboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA.
Ronit I YardenDivision of Cardiovascular Sciences, Epidemiology Branch, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Ani W ManichaikulDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-5998-795X
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-3872-7793
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0001-7191-1723
Rajat DeoDivision of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Ruth F DubinDepartment of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-0498-1980
Peter GanzDivision of Cardiology, Zuckerberg San Francisco General Hospital and Department of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0437-8882
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI, USA. lwu3@lsuhsc.edu.ORCID http://orcid.org/0000-0001-9938-3627

Funding

Integrating genome, other layers of omics, and non-genetic data to improve understanding of the etiology of human diseases in multi-ethnic populationsU54HG013243 · UNIVERSITY OF HAWAII AT MANOA · 2025 to 2025
$2.0M
Uncovering Causal Protein Markers to Characterize Pancreatic Cancer Etiology and Improve Risk PredictionU01CA293883 · UNIVERSITY OF HAWAII AT MANOA · 2025 to 2025
$684k
Uncovering causal protein markers to improve prostate cancer etiology understanding and risk prediction in Africans and EuropeansR01CA263494 · UNIVERSITY OF HAWAII AT MANOA · 2025 to 2025
$673k
The Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research (AIPrN)T32DK137523 · UNIVERSITY OF HAWAII AT MANOA · 2025 to 2025
$459k
NCI NIH HHS R01 CA263494NCI NIH HHS U01 CA293883NHGRI NIH HHS U54 HG013243NHLBI NIH HHS R01 HL105756NIDDK NIH HHS T32 DK137523U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA263494U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA293883
6 · The paper itself

Abstract

There is insufficient understanding of the molecular basis of prostate cancer (PCa) across different populations. We perform a large-scale proteome-wide association study (PWAS) to identify proteins with genetically regulated expression in plasma to be associated with PCa risk across populations. We develop genetic prediction models for expression of 1578, 1993, 1218, and 1390 proteins for African (n = 450), European (n = 758), Asian (n = 289), and Hispanic/Latino (n = 474) males, respectively, and evaluate associations of genetically regulated protein expression with PCa risk in 19,391 PCa cases and 61,608 controls of African population, 122,188 cases and 604,640 controls of European population, 10,809 cases and 95,790 controls of Asian population, and 3931 cases and 26,405 controls of Hispanic/Latino population. We identify three, four, 15, and 73 PCa-associated proteins in African, Hispanic/Latino, Asian, and European populations, respectively, and 83 in trans-population meta-analysis. There are both pan-population and population-specific associations. Our findings provide valuable insights into etiology of PCa.

Indexed as

Prostatic NeoplasmsProteomeAgedAsian PeopleBlack PeopleCase-Control StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansMaleMiddle AgedRisk FactorsWhiteWhite PeopleProteome

Identifiers

PMID41353205
PMCPMC13039972

What Socratic holds

Textmetadata
LicenceCC BY
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.