Evidence map›Paper›PMID 40759593›Full record

ReviewThe world journal of men's health2026

Prostate Cancer at the Microbial Crossroads: Illuminating a New Frontier in Precision Medicine.

Whi-An Kwon, Heeyeon Kim, Yong Sang Song

Abstract readReview
In one paragraph

Review in The world journal of men's health, 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. Review
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

3 authors.

Whi-An KwonDepartment of Urology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea. kein917@hanyang.ac.kr.ORCID https://orcid.org/0000-0002-7833-5981
Heeyeon KimResearch Group, Foretell My Health, Pohang, Korea.ORCID https://orcid.org/0009-0005-1178-5055
Yong Sang SongDepartment of Obstetrics and Gynecology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea. yssong@snu.ac.kr.ORCID https://orcid.org/0000-0001-7115-4021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human body harbors a complex, dynamic community of trillions of microbes, collectively termed the microbiota, which profoundly affects homeostasis and disease processes, including cancer. Prostate cancer remains a major cause of morbidity and mortality among men worldwide; however, critical questions remain regarding its etiology, progression, and resistance to therapy. Multiple epidemiological studies have found associations between certain urinary and intestinal microorganisms and an increased prostate cancer risk, although the causal mechanisms remain incompletely understood. Recent studies suggest that dysregulated microbial communities, or dysbiosis, are hypothesized to drive chronic inflammation, induce genotoxic insults, and modulate steroid metabolism, thereby influencing tumor initiation and progression. Conflicting findings across different investigations often stem from heterogeneous sampling methods, population differences, and disparate bioinformat ics pipelines, underscoring the critical need for standardized protocols and reproducible data analytics. For example, diet induced alterations in the gut microbiota can shift systemic inflammatory and hormonal pathways in ways that predispose individuals to malignant transformation. Simultaneously, prostatic and urinary microbes are hypothesized to fuel local inflam mation and promote precursor lesions, although whether this microbial activity is causative or merely reflective of the exist ing tumor biology remains a key unresolved question. Microbiota-driven mechanisms also shape responses to radiotherapy, chemotherapy, and emerging immunotherapies, highlighting the potential of interventions such as probiotics, prebiotics, and fecal microbiota transplantation to enhance treatment efficacy and mitigate side effects. Innovative approaches, including ar tificial intelligence-assisted predictive modeling, CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based microbial gene editing, and immunomodulatory strategies (

Indexed as

DysbiosisFecal microbiota transplantationImmunotherapyMetagenomicsMicrobiotaProstatic neoplasms

Identifiers

PMID40759593
PMCPMC13302994

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.