Evidence map›Paper›PMID 41105342›Full record

ArticleDiscover oncology2025

Gut microbiota and risk of cervical cancer: a Mendelian multivariable randomization study.

Lihuan Lu, Zhengqi Li, Ping Qiang, Yang Shao

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lihuan LuDepartment of Obstetrics and Gynecology, Zhangjiagang Hospital Affiliated to Soochow University, Zhangjiagang, 215600, Jiangsu, China.
Zhengqi LiDepartment of Gastroenterology, Zhangjiagang Second People's Hospital, Zhangjiagang, 215600, Jiangsu, China.
Ping QiangDepartment of Obstetrics and Gynecology, Zhangjiagang Hospital Affiliated to Soochow University, Zhangjiagang, 215600, Jiangsu, China.
Yang ShaoDepartment of Obstetrics and Gynecology, Zhangjiagang Hospital Affiliated to Soochow University, Zhangjiagang, 215600, Jiangsu, China. 798402062@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisEpidemiological evidence demonstrates associations between gut microbial dysbiosis and cervical cancer, though causal inference remains limited by potential confounding. STUDY

designA meta-analysis of the largest available genome-wide association study (GWAS) meta-analysis using the MiBioGen consortium (n = 14,306 individuals; 8,107,040 SNPs analyzed) was conducted for the summary statistics of the gut microbiome. A two-sample Mendelian randomization study was performed using the statistics of cervical cancer from BioBank Japan (BBJ) and the European Bioinformatics Institute (EBI) GWAS Catalog. The causal relationship between the gut microbiome and cervical cancer was examined using inverse variance weighting, maximum likelihood, MR-Egger, weighted median, weighted model, and MR-PRESSO methods. The Cochran Q statistic was used to quantify the heterogeneity of the instrumental variables. STUDY

resultsThe odds ratio (OR) values obtained by the IVW method indicate that the consistent microbial communities in the validation results from two different cervical cancer datasets are: Actinomyces (BBJ OR = 0.52, 95% CI: 0.29-0.92, P < 0.05), (EBI OR = 0.55, 95% CI: 0.29-0.87, P < 0.05) It has a protective effect on the occurrence of cervical cancer, Lachnospiraceae UCG001 (BBJ OR = 2.00, 95% CI: 1.11-3.58, P < 0.05), ( EBI OR = 1.91, 95% CI: 1.16-3.13, P < 0.05) It has a promoting risk effect on the occurrence of cervical cancer, and there is no significant heterogeneity or horizontal pleiotropy.

conclusionsBoth datasets consistently showed that Actinomyces was protective against cervical cancer (BBJ OR = 0.52; EBI OR = 0.55), while Lachnospiraceae UCG001 increased risk (BBJ OR = 2.00; EBI OR = 1.91), with no evidence of heterogeneity or pleiotropy in these robust MR analyses.

Indexed as

Cervical cancerGut microbiotaTwo-sample Mendelian randomization

Identifiers

PMID41105342
PMCPMC12534617

What Socratic holds

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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 Socratic graph.