Evidence map›Paper›PMID 41023971›Full record

ArticleBMC women's health2025

Interaction between toll-like receptor 4 polymorphism and abdominal obesity on ovarian cancer risk in Chinese women.

Jiamin Zhu, Baixia Yang, Xiaogang Zhai, Feng Ni, Dan Tao, Cheng Tan

Abstract read
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiamin ZhuDepartment of Oncology, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin city, 214400, Jiangsu Province, China.
Baixia YangDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University, 30 Tongyang North Road, Pingchao Town, Tongzhou District, Nantong City, 226300, Jiangsu Province, China.
Xiaogang ZhaiDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University, 30 Tongyang North Road, Pingchao Town, Tongzhou District, Nantong City, 226300, Jiangsu Province, China.
Feng NiDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University, 30 Tongyang North Road, Pingchao Town, Tongzhou District, Nantong City, 226300, Jiangsu Province, China.
Dan TaoDepartment of Oncology, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin city, 214400, Jiangsu Province, China.
Cheng TanDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University, 30 Tongyang North Road, Pingchao Town, Tongzhou District, Nantong City, 226300, Jiangsu Province, China. tanchengtc686@163.com.

Funding

The Youth Project of Wuxi Municipal Health Commission Q202310
6 · The paper itself

Abstract

objectivesthe aim of this study was to evaluate the impact of TLR4 gene single nucleotide polymorphisms (SNPs) and additional TLR4 gene SNP- SNP and SNP- abdominal obesity (AO) interaction on ovarian cancer (OC) risk.

methodsGeneralized multifactor dimensionality reduction method were utilized to identify the most informative interactions between four SNPs in the TLR4 gene and abdominal obesity. Logistic regression was employed to investigate the association between 4 SNPs within TLR4 gene and OC risk, and additional SNP- SNP and gene- AO interaction on OC risk, ORs (95%CI) were calculated.

resultsThe analysis of logistic regression indicated a markedly elevated risk of OC in individuals carrying either the rs4986790-G or rs11536889-C alleles in the TLR4 gene compared to those with the standard genetic variations, adjusted ORs (95%CI) were 1.61 (1.28-1.96) and 1.48 (1.09-1.91). GMDR analysis indicated a significant two-locus model (p = 0.018) involving rs4986790 and rs11536889, and a significant two-locus model (p = 0.001) involving rs4986790 and AO. Participants with rs4986790- AG/GG and rs11536889GC/ CC genotype has the highest OC risk, compared to participants with rs4986790-AA and rs11536889-GG genotype, OR (95%CI) = 2.58 (1.46-3.71), and abdominal obese participants with rs4986790- AG/GG genotype have the highest OC risk, compared to non- abdominal obese participants with rs4986790-AA genotype, OR (95%CI) = 3.17 (1.78-4.58).

conclusionsThe findings suggested that TLR4 gene rs4986790 and rs11536889 polymorphisms were associated with increased OC risk. Significant interaction also existed between rs4986790 and AO, which means that the WC levels may influence the impact of rs4986790 on OC risk.

Indexed as

East Asian PeopleObesity, AbdominalOvarian NeoplasmsPolymorphism, Single NucleotideToll-Like Receptor 4AdultAllelesCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseGenotypeHumansLogistic ModelsMiddle AgedRisk FactorsTLR4 protein, humanToll-Like Receptor 4Abdominal obesityInteractionOvarian cancerSingle nucleotide polymorphismsToll-like receptors

Identifiers

PMID41023971
PMCPMC12481797

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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.