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

Sep 23, 2026

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The study evaluates how TLR4 gene single nucleotide polymorphisms (SNPs) and SNP–SNP and SNP–abdominal obesity interactions influence ovarian cancer (OC) risk in Chinese women. Generalized multifactor dimensionality reduction identifies informative interactions among four TLR4 SNPs and abdominal obesity, while logistic regression estimates associations and interaction effects using odds ratios with 95% confidence intervals. Results highlight elevated OC risk linked to specific alleles and genotypes and show significant two-locus interactions with abdominal obesity.

LanguageEnglish

CategoryHealthcare

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Pages7

Reading Time18 min

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Abstract

Introduction

Materials and methods

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Zhu et al. BMC Women's Health (2025) 25:452 BMC Women's Health [https://doi.org/10.1186/s12905-025-04001-w](https://doi.org/10.1186/s12905-025-04001-w) RESEARCH Open Access Interaction between toll-like receptor 4 polymorphism and abdominal obesity on ovarian cancer risk in Chinese women Jiamin Zhu 1, Baixia Yang2, Xiaogang Zhai2, Feng Ni2, Dan Tao 1 and Cheng Tan2* Abstract Objectives the 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. Methods Generalized 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. Results The 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 nonabdominal obese participants with rs4986790-AA genotype, OR (95%CI) = 3.17 (1 .78–4. 58) . Conclusions The 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. Keywords Abdominal obesity, Ovarian cancer, Single nucleotide polymorphisms, Toll-like receptors, Interaction *Correspondence: Cheng Tan [tanchengtc686@163.com](tanchengtc686@163.com) 1Department of Oncology, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin city 214400, Jiangsu Province, China 2Department 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 © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creati](http://creati)[vecommons.org/l](vecommons.org/l)icenses/by-nc-nd/4.0/. Zhu et al. BMC Women's Health (2025) 25:452 Introduction Ovarian cancer (OC) is the third most common type of gynecological cancer but is the deadliest [1, 2]. Recently, there has been a concerning rise in its occurrence in both China [3] and Europe [4].

FAQs

What is the main objective of this study?

To evaluate how TLR4 gene SNPs, SNP–SNP interactions, and SNP–abdominal obesity interactions affect ovarian cancer risk in Chinese women.

Which methods were used to analyze gene and obesity interactions?

Generalized multifactor dimensionality reduction was used to identify informative interactions, and logistic regression assessed associations and interaction effects with odds ratios (95% CI).

What were the key findings regarding TLR4 variants and OC risk?

Carriers of rs4986790-G or rs11536889-C showed a higher OC risk than those with standard variations, and significant two-locus interaction models were detected, including models involving abdominal obesity.

Sep 23, 2026

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