Department of Clinical Nutrition, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cancer Med. 2023 Jan;12(2):1984-1996. doi: 10.1002/cam4.5043. Epub 2022 Jul 19.
Major depression disorder (MDD) has been associated with increased breast cancer risk in epidemiological studies; however, it is still unknown whether this association is causal or not. The aim of this study is to determine the causal relationship between MDD and breast cancer risk.
Two-sample Mendelian randomization (MR) analyses with 92 single-nucleotide polymorphisms (SNPs) significantly associated with MDD as instrumental variables (IVs) were performed. Effects of these SNPs on breast cancer in women were estimated in the Breast Cancer Association Consortium (122,977 cases and 105,974 controls) using inverse variance weighted (IVW), weighted median and multivariable MR models. Heterogeneity and pleiotropy effects were assessed based on IVW and MR-Egger regression model, respectively.
An 8.7% increased risk of overall breast cancer [odds ratio (OR) = 1.087; 95% confidence interval (CI) 1.011-1.170; P = 0.025] per log-odds ratio increment of MDD risk based on the IVW model was noticed. Similar results were obtained with the multivariable MR model (OR = 1.118, 95% CI = 1.010-1.237; P = 0.031). An increment but not statistically significant causality association was noticed between MDD and risk of ER+ (OR = 1.098, 95% CI = 0.984-1.227; P = 0.093) or ER- (OR = 1.129, 95% CI = 0.982-1.297; P = 0.089) breast cancer under multivariable MR model. No significant pleiotropy effects were observed for the IVs in the two-sample MR studies.
The results suggested that a genetic predisposition of MDD is causally associated with overall breast cancer risk; however, the underlying biological mechanisms are worthy of further study.
在流行病学研究中,重度抑郁症(MDD)与乳腺癌风险增加有关;然而,目前尚不清楚这种关联是否具有因果关系。本研究旨在确定 MDD 与乳腺癌风险之间的因果关系。
采用两样本 Mendelian 随机化(MR)分析,使用 92 个与 MDD 显著相关的单核苷酸多态性(SNP)作为工具变量(IVs)。使用乳腺癌协会联盟(122977 例病例和 105974 例对照)中的逆方差加权(IVW)、加权中位数和多变量 MR 模型,估计这些 SNP 对女性乳腺癌的影响。基于 IVW 和 MR-Egger 回归模型,分别评估异质性和多效性效应。
基于 IVW 模型,发现 MDD 风险每增加一个对数优势比,整体乳腺癌风险增加 8.7%[比值比(OR)=1.087;95%置信区间(CI)1.011-1.170;P=0.025]。多变量 MR 模型也得到了类似的结果(OR=1.118,95%CI=1.010-1.237;P=0.031)。在多变量 MR 模型中,发现 MDD 与 ER+(OR=1.098,95%CI=0.984-1.227;P=0.093)或 ER-(OR=1.129,95%CI=0.982-1.297;P=0.089)乳腺癌风险之间存在递增但无统计学意义的因果关系。在两样本 MR 研究中,没有观察到 IVs 存在显著的多效性效应。
结果表明,MDD 的遗传易感性与整体乳腺癌风险存在因果关系;然而,潜在的生物学机制值得进一步研究。