Department of Gynecology, Women and Children's Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China.
BMC Cancer. 2024 May 23;24(1):629. doi: 10.1186/s12885-024-12385-5.
Observational studies and clinical validation have suggested a link between thyroid dysfunction and an elevated ovarian cancer (OC) risk. However, whether this association indicates a cause-and-effect relationship remains uncertain. We aimed to investigate the plausible causal impact of thyroid dysfunction on OC through a Mendelian randomization (MR) study.
Genome-wide association study (GWAS) data for thyrotropin (TSH), free thyroxine (FT4), hypothyroidism, and hyperthyroidism were obtained as exposures and those for OC (N = 199,741) were selected as outcomes. Inverse variance-weighted method was used as the main estimation method. A series of sensitivity analyses, including Cochran's Q test, MR-Egger intercept analysis, forest plot scatter plot, and leave-one-out test, was conducted to assess the robustness of the estimates.
Genetic prediction of hyperthyroidism was associated with a potential increase in OC risk (odds ratio = 1.094, 95% confidence interval: 1.029-1.164, p = 0.004). However, no evidence of causal effects of hypothyroidism, TSH, and FT4 on OC or reverse causality was detected. Sensitivity analyses demonstrated consistent and reliable results, with no significant estimates of heterogeneity or pleiotropy.
This study employed MR to establish a correlation between hyperthyroidism and OC risk. By genetically predicting OC risk in patients with hyperthyroidism, our research suggests new insights for early prevention and intervention of OC.
观察性研究和临床验证表明,甲状腺功能障碍与卵巢癌(OC)风险升高之间存在关联。然而,这种关联是否表明因果关系仍不确定。我们旨在通过孟德尔随机化(MR)研究来探讨甲状腺功能障碍对 OC 的可能因果影响。
获得促甲状腺激素(TSH)、游离甲状腺素(FT4)、甲状腺功能减退症和甲状腺功能亢进症的全基因组关联研究(GWAS)数据作为暴露因素,并选择 OC(N=199741)作为结局。采用逆方差加权法作为主要估计方法。进行了一系列敏感性分析,包括 Cochrane's Q 检验、MR-Egger 截距分析、森林图散点图和逐一剔除测试,以评估估计值的稳健性。
甲状腺功能亢进症的遗传预测与 OC 风险的潜在增加相关(优势比=1.094,95%置信区间:1.029-1.164,p=0.004)。然而,没有发现甲状腺功能减退症、TSH 和 FT4 对 OC 或反向因果关系有因果影响的证据。敏感性分析表明结果一致且可靠,没有显著的异质性或多效性估计。
本研究采用 MR 方法建立了甲状腺功能亢进症与 OC 风险之间的相关性。通过对甲状腺功能亢进症患者的 OC 风险进行遗传预测,我们的研究为 OC 的早期预防和干预提供了新的见解。