Evidence map›Paper›PMID 41731770›Full record

ArticleMedicine2026

Genetic evidence linking anti-polyomavirus 2 IgG seropositivity to ovarian cancer risk.

Weichu Zhang, Zhuorong Gu, Guanghui Song, Shaohan Zou, Shihao Hong

Abstract read
In one paragraph

Article in Medicine, 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

5 authors.

Weichu ZhangKey Laboratory of Reproductive Dysfunction Management of Zhejiang Province and Nursing Department, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhuorong GuDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guanghui SongKey Laboratory of Reproductive Dysfunction Management of Zhejiang Province and Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shaohan ZouKey Laboratory of Reproductive Dysfunction Management of Zhejiang Province and Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shihao HongKey Laboratory of Reproductive Dysfunction Management of Zhejiang Province and Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0001-7770-547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-related immune phenotypes reflect long-term host-pathogen interactions and immunogenetic regulation, and have been increasingly implicated in cancer susceptibility. In ovarian cancer, observational associations between immune responses and disease risk remain difficult to interpret due to confounding and potential reverse causation. Genetic analyses may help clarify whether specific antibody immune response profiles are linked to ovarian cancer risk. We investigated the associations between 46 genetically predicted antibody immune response phenotypes and ovarian cancer using a 2-sample Mendelian randomization framework. Genetic instruments for antibody traits were obtained from large genome-wide association studies, while ovarian cancer summary statistics were derived independently from the FinnGen R12 and OpenGWAS resources. Causal estimates were derived primarily using inverse-variance weighted models and subsequently synthesized across datasets to improve precision. Multiple testing adjustment was applied, and additional analyses were conducted to assess robustness and causal directionality. Across the evaluated antibody phenotypes, most showed no evidence of a causal association with ovarian cancer risk. After meta-analysis and correction for multiple comparisons, genetically predicted anti-polyomavirus 2 immunoglobulin G (IgG) seropositivity was associated with a modest increase in ovarian cancer risk (odds ratio = 1.062, 95% confidence interval: 1.027-1.099). Sensitivity analyses did not indicate substantial pleiotropic bias, and reverse-direction analyses provided no support for ovarian cancer influencing anti-polyomavirus 2 IgG levels. These findings suggest that genetic liability to anti-polyomavirus 2 IgG seropositivity, as a marker of immune response rather than active infection, is modestly associated with ovarian cancer risk in individuals of European ancestry. Although the effect size is small, the results highlight a potential role for antibody-mediated immune processes in ovarian cancer etiology and warrant further investigation in diverse populations and experimental settings.

Indexed as

Antibodies, ViralImmunoglobulin GOvarian NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk FactorsAntibodies, ViralImmunoglobulin Gantibody-mediated immunityimmune response phenotypesMendelian randomizationovarian cancerpolyomavirus 2 IgG

Identifiers

PMID41731770
PMCPMC12928948

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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.