背景:乳腺癌是全球范围内威胁妇女生命和健康的恶性疾病之一。CYP4B1基因在BC中异常表达,并与BC患者的预后有关。本研究旨在探讨CYP4B1单核苷酸多态性(SNPs)与中国女性BC发病风险的关系。
方法:对1,143名妇女(571名患者和572名健康个体)进行病例对照研究。Rs2297813G/T,rs12142787G/A,选择CYP4B1中的rs3766197C/T并通过MassARRAY系统进行基因分型。通过Logistic回归分析评估这些SNP与BC风险之间的关系。此外,多因素降维(MDR)用于分析SNP-SNP相互作用。
结果:CYP4B1rs2297813对体重指数(BMI)≤24kg/m2的女性的BC具有增加风险的作用(OR=1.72,p=0.026)。CYP4B1rs12142787与吸烟者BC风险增加相关(AA:OR=1.32,p=0.045)。在非饮酒者中,rs2297813(OR=1.69,p=0.009)和rs12142787(OR=1.51,p=0.020)与BC的发病率增加有关。CYP4B1rs3766197(OR=1.61p=0.031)与BC晚期(III/IV期)的高风险相关。此外,CYP4B1rs2297813(OR=1.55,p=0.021)和rs12142787(OR=1.53,p=0.033)对BC风险的贡献可能与BC患者的一次以上出生有关.由rs2297813,rs12142787和rs3766197组成的三基因座模型被认为是BC风险的最佳预测模型。
结论:CYP4B1SNP与中国女性的BC风险相关,特别是BMI≤24kg/m2的患者,吸烟者,不喝酒的人,晚期患者(III/IV期),和一次繁殖的患者。这些发现揭示了CYP4B1SNP与中国女性BC风险之间的关系。
BACKGROUND: Breast cancer (BC) is one of the malignant diseases threatening the life and health of women worldwide. The CYP4B1 gene was abnormally expressed in BC and was associated with the prognosis of BC patients. This study aimed to explore the relationship between CYP4B1 single nucleotide polymorphisms (SNPs) and BC risk in Chinese women.
METHODS: A
case-control study of 1,143 women (571 patients and 572 healthy individuals) was conducted. Rs2297813 G/T, rs12142787 G/A, and rs3766197 C/T in CYP4B1 were selected and genotyped by MassARRAY system. The relationships between these SNPs and the risk of BC were assessed by logistic regression analysis. In addition, multi-factor dimensionality reduction (MDR) was used to analyze SNP-SNP interactions.
RESULTS: CYP4B1 rs2297813 had a risk-increasing effect on BC in women with body mass index (BMI) ≤ 24 kg/m2 (OR = 1.72, p = 0.026). CYP4B1 rs12142787 was associated with an increased BC risk in smokers (AA: OR = 1.32, p = 0.045). Among non-drinkers, rs2297813 (OR = 1.69, p = 0.009) and rs12142787 (OR = 1.51, p = 0.020) were related to an increased incidence of BC. CYP4B1 rs3766197 (OR = 1.61p = 0.031) was associated with a higher risk of advanced stages (III/IV stage) of BC. Besides, the contributions of CYP4B1 rs2297813 (OR = 1.55, p = 0.021) and rs12142787 (OR = 1.53, p = 0.033) to BC risk might be associated with more than one birth in patients with BC. The three-locus model consisting of rs2297813, rs12142787, and rs3766197 was regarded as the best predictive model for BC risk.
CONCLUSIONS: CYP4B1 SNPs were associated with BC risk in Chinese women, especially in patients with BMI ≤ 24 kg/m2, smokers, non-drinkers, patients in advanced stages (III/IV stage), and patients who reproduced once. These findings shed light on the relationship between CYP4B1 SNPs and BC risk in Chinese women.