Evidence mapPaperPMID 42326423Full record

ReviewFrontiers in microbiology2026

Human papillomavirus in prostate cancer: examining the evidence for a co-factor role.

Jingqi Zhang, Shuxin Li, Bo Yin

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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

3 authors.

Jingqi Zhang *Department of Urology, Shengjing Hospital, China Medical University, Shenyang, China.
Shuxin Li *Department of Urology, The First Hospital of Jilin University, Changchun, China.
Bo YinDepartment of Urology, Shengjing Hospital, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiological role of human papillomavirus (HPV) in Prostate cancer (PCa) remains unresolved due to stark contradictions between observational associations and molecular detection studies. Traditional models attempting to define HPV as an independent driver of PCa struggle to reconcile these contradictions. This review aims to critically evaluate the conflicting evidence and propose a new framework: HPV may primarily function as a molecular cofactor rather than an independent carcinogenic driver. Within this framework, we systematically explore how HPV infection, through its oncogenic proteins, induces genomic instability, fosters chronic inflammatory microenvironments, and interacts with other pathogens to act as a co-factor that synergistically promotes PCa initiation and progression in individuals with specific genetic backgrounds. This co-factor model not only reconciles existing contradictory data but also provides a novel framework for future research, emphasizing the need to identify HPV-associated PCa subtypes for precision prevention and therapy. We discuss the potential value and applicability of prevention strategies based on this co-factor model. Redefining HPV's role in PCa is crucial for advancing precision risk stratification and targeted prevention.

Indexed as

carcinogenesishuman papillomavirusmolecular mechanismsprostate cancertumor microenvironment

Identifiers

PMID42326423
PMCPMC13279701

What Socratic holds

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LicenceCC BY
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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.