Zhou Lin, Gao Huiyu, Zhang Jiabin, Xu Qian, Wang Qiang, Wang Li, Tan Ying, Luo Ziyuan, Zhou Junjie, Shuai Hui, Cai Xiang, Zheng Yongbo, Wang Shan, Duan Xi, Wu Tao
Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan.
Department of Urology, The Second Hospital of Lanzhou University, Lanzhou.
Int J Surg. 2025 Jan 1;111(1):311-321. doi: 10.1097/JS9.0000000000001926.
The relationship between Metabolic Syndrome and cancer remains controversial. The authors aimed to assess the association between Metabolic Syndrome and cancer risk at different locations using a Mendelian randomization approach.
The authors extracted single nucleotide polymorphisms (SNPs) of MetS and its components from public databases for populations of European ancestry. Causal effects were estimated using inverse variance weighting, MR-Egger, weighted median, and MR-PRESSO. Sensitivity analyses were performed using Cochran's Q test, MR-Egger intercept test, MR-PRESSO, leave-one-out analysis, and funnel plots. In addition, the authors calculated the Statistical power. Finally, the authors applied the False Discovery Rate (FDR) to correct our results.
IVW methods showed that Genetically predicted Metabolic Syndrome may be a potential risk factor for hepatocellular carcinoma ( P =0.031, P-FDR=0.093). Metabolic Syndrome was not causally associated with cancers at other sites (lung, thyroid, breast, prostate, kidney, bladder, colorectal, esophagus, and stomach). In further analyses, WC may increase the risk of lung ( P =0.003, P-FDR=0.018), and esophageal ( P =0.011, P-FDR=0.066) cancers and decrease the risk of prostate cancer ( P =0.006, P-FDR=0.001). Furthermore, hypertension may reduce the risk of Hepatic cancer ( P =0.014, P-FDR=0.084).
Our study suggests that genetically predicted Metabolic Syndrome may increase the risk of some cancers. Prevention and treatment of Metabolic Syndrome may help to prevent the development of related cancers.
代谢综合征与癌症之间的关系仍存在争议。作者旨在使用孟德尔随机化方法评估代谢综合征与不同部位癌症风险之间的关联。
作者从公共数据库中提取了欧洲血统人群的代谢综合征及其组成成分的单核苷酸多态性(SNP)。使用逆方差加权、MR-Egger、加权中位数和MR-PRESSO估计因果效应。使用 Cochr an's Q检验、MR-Egger截距检验、MR-PRESSO、留一法分析和漏斗图进行敏感性分析。此外,作者计算了统计功效。最后,作者应用错误发现率(FDR)对结果进行校正。
IVW方法显示,遗传预测的代谢综合征可能是肝细胞癌的潜在危险因素(P = 0.031,P-FDR = 0.093)。代谢综合征与其他部位(肺、甲状腺、乳腺、前列腺、肾脏、膀胱、结肠、食管和胃)的癌症无因果关联。在进一步分析中,腰围可能增加肺癌(P = 0.003,P-FDR = 0.018)和食管癌(P = 0.011,P-FDR = 0.066)的风险,并降低前列腺癌的风险(P = 0.006,P-FDR = 0.001)。此外,高血压可能降低肝癌的风险(P = 0.014,P-FDR = 0.084)。
我们的研究表明,遗传预测的代谢综合征可能增加某些癌症的风险。预防和治疗代谢综合征可能有助于预防相关癌症的发生。