Department of Oncology, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, Taiwan.
Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Breast Cancer Res Treat. 2024 Nov;208(2):283-292. doi: 10.1007/s10549-024-07418-3. Epub 2024 Jul 5.
In East Asia, the incidence of breast cancer has been increasing rapidly, particularly among premenopausal women. An elevated ratio of estrogen-DNA adducts was linked to a higher risk of breast cancer. The present study explored the influence of the interaction between base excision repair (BER) gene polymorphisms and estrogen-DNA adducts on breast cancer risk.
We conducted a case-control study comprising healthy volunteers and individuals with benign breast disease (control arm, n = 176) and patients with invasive carcinoma or carcinoma in situ (case arm, n = 177). Genotyping for BER-related genes, including SMUG1, OGG1, ERCC5, and APEX1, was performed. A logistic regression model, incorporating interactions between gene polymorphisms, estrogen-DNA adduct ratio, and clinical variables, was used to identify the risk factors for breast cancer.
Univariate analysis indicated marginal associations between breast cancer risk and APEX1 rs1130409 T > G (P = 0.057) and APEX1 rs1760944 T > G (P = 0.065). Multivariate regression analysis revealed significant associations with increased breast cancer risk for APEX1_rs1130409 (GT/GG versus TT) combined with a natural logarithmic value of the estrogen-DNA adduct ratio (estimated OR 1.164, P = 0.023) and premenopausal status with an estrogen-DNA adduct ratio > 2.93 (estimated OR 2.433, P = 0.001).
APEX1_rs1130409 (GT/GG versus TT) polymorphisms, which are related to decreased BER activity, combined with an increased ratio of estrogen-DNA adducts, increase the risk of breast cancer in East Asian women.
在东亚地区,乳腺癌的发病率一直在迅速上升,尤其是在绝经前女性中。雌激素-DNA 加合物水平升高与乳腺癌风险增加相关。本研究旨在探讨碱基切除修复(BER)基因多态性与雌激素-DNA 加合物之间的相互作用对乳腺癌风险的影响。
我们进行了一项病例对照研究,纳入了健康志愿者和患有良性乳腺疾病的个体(对照组,n=176)以及患有浸润性癌或原位癌的患者(病例组,n=177)。对 BER 相关基因(包括 SMUG1、OGG1、ERCC5 和 APEX1)进行基因分型。采用逻辑回归模型,纳入基因多态性、雌激素-DNA 加合物比值和临床变量之间的相互作用,以确定乳腺癌的风险因素。
单因素分析表明,APEX1 rs1130409 T> G(P=0.057)和 APEX1 rs1760944 T> G(P=0.065)与乳腺癌风险之间存在边缘关联。多变量回归分析显示,APEX1_rs1130409(GT/GG 与 TT)与雌激素-DNA 加合物比值的自然对数值相结合与乳腺癌风险增加显著相关(估计比值比 1.164,P=0.023),并且雌激素-DNA 加合物比值>2.93 与绝经前状态相关(估计比值比 2.433,P=0.001)。
APEX1_rs1130409(GT/GG 与 TT)多态性与 BER 活性降低相关,与雌激素-DNA 加合物比值升高相结合,增加了东亚女性患乳腺癌的风险。