Evidence map›Paper›PMID 41242742›Full record

ArticleEnvironmental health and preventive medicine2025

Interaction between CYP3A4 gene polymorphism and obesity on breast cancer susceptibility in Chinese women.

Jiamin Zhu, Xiaogang Zhai, Feng Ni, Cheng Tan, Yun Guan, Baixia Yang, Jing Cai

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Article in Environmental health and preventive medicine, 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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5 · Who and what money

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7 authors.

Jiamin ZhuDepartment of Oncology, the Affiliated Jiangyin Hospital of Nantong University.
Xiaogang ZhaiDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University.
Feng NiDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University.
Cheng TanDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University.
Yun GuanDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University.
Baixia YangDepartment of Radiotherapy, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University.
Jing CaiDepartment of Radiotherapy, Nantong Rici Hospital Affiliated to Yangzhou University.

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6 · The paper itself

Abstract

backgroundTo date, results on relationship between CYP3A4 gene polymorphism were limited and inconclusive, and no study focused on the influence of CYP3A4 gene-obesity interaction on breast cancer risk, especially in Chinese women. The purpose of this study was to evaluate the impact of four single nucleotide polymorphisms (SNPs) of CYP3A4 gene, the SNP-SNP and gene-environment interactions on the susceptibility to breast cancer in Chinese women.

methodsLogistic regression was used to explore the relationship between four SNPs of CYP3A4 gene and the risk of breast cancer. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best SNP-SNP and gene-abdominal obesity interaction combinations among four SNPs and abdominal obesity. Haplotype examination among 4 SNPs was conducted using the SHEsis web-based platform.

resultsLogistic regression analysis showed that carriers of rs2242480- T allele have significantly higher breast cancer risk, than those with rs2242480- CC genotype, adjusted OR (95%CI) was 1.68 (1.23-2.16) and 2.03 (1.53-2.58) for participants with CT genotype and TT genotype under additive model. We did not find any notable interactions between the four SNPs within the CYP3A4 gene. GMDR model found a significant association in a two-locus model involving rs2242480 and obesity, with a p-value of 0.018. Stratified analysis found that breast cancer risk was the highest in obese participants with rs2242480- CT or TT genotype, compared to those non-obese participants with rs2242480- CC genotype, OR (95%CI) was 3.02 (1.83-4.25). We found that all haplotype combinations were not correlated with breast cancer risk.

conclusionsWe found that the T allele of rs2242480 within the CYP3A4 gene and interaction between rs2242480 and obesity were associated with an increased risk of breast cancer. However, the results of this study were only applicable to the Han ethnic group and cannot be generalized to other ethnic groups in China, and more SNPs of CYP3A4 gene should been enrolled in the analysis in the future, to verify the results obtained in this study.

Indexed as

Breast NeoplasmsCytochrome P-450 CYP3AGene-Environment InteractionGenetic Predisposition to DiseaseObesityPolymorphism, Single NucleotideAdultAgedChinaEast Asian PeopleFemaleHaplotypesHumansMiddle AgedRisk FactorsCYP3A4 protein, humanCytochrome P-450 CYP3ABreast cancerCYP3A4Cytochrome P450HaplotypeInteractionObesitySNP

Identifiers

PMID41242742
PMCPMC12634213

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