Gao Yamei, Wang Zhijia, Yu Jinsheng, Chen Lijun
Department of Oncology, Tianjin Binhai New Area Dagang Hospital, Tianjin, China.
Department of Cardiovascular Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Front Cardiovasc Med. 2024 Apr 25;11:1344515. doi: 10.3389/fcvm.2024.1344515. eCollection 2024.
Multiple observational studies have shown associations between thyroid cancer (TC) and cardiovascular diseases (CVDs). However, the results were inconsistent, and the potential causal genetic relationship remains unclear.
The genetic instruments of TC and CVDs were derived from data obtained through genome-wide association studies (GWAS). We performed the two-sample Mendelian randomization(MR) methods to investigate the causality of TC on CVDs. Summary-level statistics for CVDs, including heart failure (HF), atrial fibrillation (AF), coronary artery disease (CAD), myocardial infarction (MI), ischemic stroke (IS) and venous thromboembolism (VTE). The primary method employed in this MR analysis was the Inverse Variance Weighted (IVW) approach, and four additional algorithms were used: MR-Egger, weighted median, simple mode, and weighted mode. Additionally, we assessed the reliability of the causal relationship through pleiotropy, heterogeneity and leave-one-out sensitivity analysis.
In this MR analysis, we only detected causality of genetically predicted TC on HF (IVW method, odds ratio (OR) = 1.00134, 95% confidence interval (CI): 1.00023-1.00244, = 0.017). However, There were no causal associations of TC with CAD, MI, AF, IS, and VTE.
Our results confirmed the causal association between TC and HF. It is crucial to closely monitor the incidence of HF in TC patients and give comprehensive clinical intervention based on conventional treatment.
多项观察性研究表明甲状腺癌（TC）与心血管疾病（CVD）之间存在关联。然而，结果并不一致，潜在的因果遗传关系仍不清楚。
TC和CVD的遗传工具来自通过全基因组关联研究（GWAS）获得的数据。我们采用两样本孟德尔随机化（MR）方法来研究TC对CVD的因果关系。CVD的汇总统计数据，包括心力衰竭（HF）、心房颤动（AF）、冠状动脉疾病（CAD）、心肌梗死（MI）、缺血性中风（IS）和静脉血栓栓塞（VTE）。本MR分析采用的主要方法是逆方差加权（IVW）方法，并使用了另外四种算法：MR-Egger、加权中位数、简单模式和加权模式。此外，我们通过多效性、异质性和留一法敏感性分析评估了因果关系的可靠性。
在本MR分析中，我们仅检测到基因预测的TC对HF的因果关系（IVW方法，优势比（OR）=1.00134，95%置信区间（CI）：1.00023-1.00244，P=0.017）。然而，TC与CAD、MI、AF、IS和VTE之间没有因果关联。
我们的结果证实了TC与HF之间的因果关联。密切监测TC患者HF的发生率，并在常规治疗的基础上给予全面的临床干预至关重要。
