Evidence map›Paper›PMID 41708473›Full record

ArticleEuropean urology focus2026

Gut Microbiome as a Lifestyle Risk Factor Associated with Prostate Cancer.

Michael A Liss, James R White, Molly Doris, Zhao Lai, Teresa L Johnson-Pais, Robin J Leach, Martin Goros, Jonathan Gelfond, Brian Wickes

Abstract read
In one paragraph

Article in European urology focus, 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

9 authors.

Michael A LissDepartment of Urology, University of California San Diego, CA, USA; Department of Surgery, South Texas Veterans Healthcare System, San Antonio, TX, USA. Electronic address: liss@health.ucsd.edu.
James R WhiteResphera Biosciences, Baltimore, MD, USA.
Molly DorisDepartment of Urology, University of Texas Health Sciences Center, San Antonio, TX, USA.
Zhao LaiDepartment of Molecular Medicine, Greehey Children's Cancer Research Institute, University of Texas Health, San Antonio, TX, USA.
Teresa L Johnson-PaisDepartment of Urology, University of Texas Health Sciences Center, San Antonio, TX, USA.
Robin J LeachDepartments of Cell Systems & Anatomy and Pediatrics, University of Texas Health, San Antonio, TX, USA.
Martin GorosDepartment of Population Health Sciences, University of Texas Health, San Antonio, TX, USA.
Jonathan GelfondDepartment of Population Health Sciences, University of Texas Health, San Antonio, TX, USA.
Brian WickesDepartment of Microbiology, Immunology & Molecular Genetics, University of Texas Health, San Antonio, TX, USA.

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Robin Jean Leach · 1991 to 2026
$59.1M
SAN ANTONIO CENTER OF BIOMARKERS OF RISK FOR PROSTATE CAU01CA086402 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEACH, ROBIN JEAN, THOMPSON, IAN M. · 2000 to 2018
$33.1M
Advancing Cancer Research Through Next Generation Sequencing at Mays Cancer Center of UT Health San AntonioR50CA265339 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Zhao Lai · 2022 to 2026
$957k
NCI NIH HHS P30 CA054174NCI NIH HHS R50 CA265339NCI NIH HHS U01 CA086402
6 · The paper itself

Abstract

BACKGROUND AND

objectiveMost prostate cancer prevention strategies suggest lifestyle modifications, which lack personalization. Gut microbiome is increasingly recognized as an influencing factor in nongastrointestinal cancers, including prostate cancer. The use of gut microbiome as a lifestyle biomarker could help identify individuals with lifestyle more prone to prostate cancer and allow for modification. We aimed to develop a gut microbiome-based biomarker derived from patients undergoing prostate cancer screening.

methodsWe assessed whether the future cancer risk can be evaluated based on a microbiome risk analysis. After extracting DNA, sequencing, and performing a bioinformatics analysis, we identified 39 unique microbial genera of importance. We utilized an artificial intelligence model to calculate their presence, abundance, and weighted significance, generating a microbiome score (Prostate Cancer Risk Insight using Microbiome UnderStanding [PRIMUS]) that ranges from 0 to 1. KEY FINDINGS AND LIMITATIONS: Men with an increasing PRIMUS signature showed a sequential increase in prostate cancer risk. The prostate cancer risk persisted after a median follow-up of 4.5 yr. As a risk-assessment tool, the microbiome score compared favorably with prostate cancer risk calculators. Study limitations include the use of two patient groups to diversify the population for both a screening and a prebiopsy scenario; however, the cohorts used different collection methods, including stool, rectal swabs, and glove tip samples, but the same DNA isolation and sequencing. We relied on the longitudinal approach to help reduce these initial differences. CONCLUSIONS AND CLINICAL IMPLICATIONS: The gut microbiome may serve as a lifestyle risk factor for prostate cancer, but it is not intended to guide biopsy decisions. The implications of this study hinge on the potential for modifiability of the microbiome that could be tested in future clinical trials on prostate cancer risk reduction.

Indexed as

Gastrointestinal MicrobiomeLife StyleProstatic NeoplasmsAgedHumansMaleMiddle AgedRisk AssessmentRisk FactorsBiomarkerCancer risk predictionFecal microbiota transplantationGut microbiomeInflammatory bowel diseaseMachine learningMicrobiome analysisPersonalized medicineProstate cancerProstate Cancer Risk Insight using Microbiome UnderStanding signature

Identifiers

PMID41708473
PMCPMC13630277

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.