Ji Li, Liu Yanbo, Wang Zihan, Huang Qiuru, Cai Jiaying, Gu Han, Li Jiaxin, Chen Xia, Feng Chenrui, He Xuxin, Deng Xiaonan, Cheng Xinmeng, Kong Xiuwen, Zhu Xiaoqi, Wu Tong, Yang Binbin, Lin Ziwen, Yang Xiaoqing, Feng Guannan, Yu Jun
Institute of Reproductive Medicine, School of Medicine, Nantong University Nantong 226001, Jiangsu, China.
Department of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215000, Jiangsu, China.
Am J Transl Res. 2024 Jun 15;16(6):2699-2710. doi: 10.62347/ECOO9552. eCollection 2024.
Evidence indicates that the risk of developing a secondary ovarian cancer (OC) is correlated with estrogen receptor (ER) status. However, the clinical significance of the relationship between ER-associated breast cancer (BC) and clear cell ovarian cancer (CCOC) remains elusive.
Independent single nucleotide polymorphisms (SNPs) strongly correlated with exposure were extracted, and those associated with confounders and outcomes were removed using the PhenoScanner database. SNP effects were extracted from the outcome datasets with minor allele frequency > 0.01 as the filtration criterion. Next, valid instrumental variables (IVs) were obtained by harmonizing exposure and outcome effects and further filtered based on F-statistics (> 10). Mendelian randomization (MR) assessment of valid IVs was carried out using inverse variance weighted (IVW), MR Egger (ME), weighted median (WM), and multiplicative random effects-inverse variance weighted (MRE-IVW) methods. For sensitivity analysis and visualization of MR findings, a heterogeneity test, a pleiotropy test, a leave-one-out test, scatter plots, forest plots, and funnel plots were employed.
MR analyses with all four methods revealed that CCOC was not causally associated with ER-negative BC (IVW results: odds ratio (OR) = 0.89, 95% confidence interval (CI) = 0.66-1.20, P = 0.431) or ER-positive BC (IVW results: OR = 0.99, 95% CI = 0.88-1.12, P = 0.901). F-statistics were computed for each valid IV, all of which exceeded 10. The stability and reliability of the results were confirmed by sensitivity analysis.
Our findings indicated that CCOC dids not have a causal association with ER-associated BC. The absence of a definitive causal link between ER-associated BC and CCOC suggested a minimal true causal influence of ER-associated BC exposure factors on CCOC. These results indicated that individuals afflicted by ER-associated BC could alleviate concerns regarding the developing of CCOC, thereby aiding in preserving their mental well-being stability and optimizing the efficacy of primary disease treatment.
有证据表明,发生继发性卵巢癌(OC)的风险与雌激素受体(ER)状态相关。然而,ER相关乳腺癌(BC)与透明细胞卵巢癌(CCOC)之间关系的临床意义仍不明确。
提取与暴露密切相关的独立单核苷酸多态性(SNP),并使用PhenoScanner数据库去除与混杂因素和结局相关的SNP。以次要等位基因频率>0.01作为过滤标准,从结局数据集中提取SNP效应。接下来,通过协调暴露和结局效应获得有效的工具变量(IV),并基于F统计量(>10)进一步过滤。使用逆方差加权(IVW)、MR Egger(ME)、加权中位数(WM)和乘性随机效应-逆方差加权(MRE-IVW)方法对有效的IV进行孟德尔随机化(MR)评估。为了进行敏感性分析和直观展示MR结果,采用了异质性检验、多效性检验、留一法检验、散点图、森林图和漏斗图。
所有四种方法的MR分析均显示,CCOC与ER阴性乳腺癌(IVW结果:比值比(OR)=0.89,95%置信区间(CI)=0.66-1.20,P=0.431)或ER阳性乳腺癌(IVW结果:OR=0.99,95%CI=0.88-1.12,P=0.901)无因果关系。计算每个有效IV的F统计量,均超过10。敏感性分析证实了结果的稳定性和可靠性。
我们的研究结果表明,CCOC与ER相关乳腺癌无因果关系。ER相关乳腺癌与CCOC之间缺乏明确的因果联系,表明ER相关乳腺癌暴露因素对CCOC的真正因果影响极小。这些结果表明,患有ER相关乳腺癌的个体可以减轻对发生CCOC的担忧,从而有助于保持其心理健康稳定并优化原发性疾病的治疗效果。