Metabolic syndrome and cancer risk: A bidirectional two-sample Mendelian randomization study

IF 3.9
Qian Wang , Jia Li , Hao Qiao , Yuelang Zhang , Ying Xu , Rui Chen , Kaishunzi Liu , Shuqun Zhang , Guihua Zhuang
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Abstract

Background

Emerging evidence suggests that metabolic syndrome (MetS) contributes to cancer development, but the causal relationship remains unclear. This study aimed to explore the potential causal associations between MetS and 50 types of cancer (including the main cancer subtypes) using bidirectional Mendelian randomization (MR) analysis.

Methods

Genome-wide association study (GWAS) data were downloaded from the IEU-GWAS database and CNCR-CTGLAB. We investigated the causal associations between MetS and cancer via the inverse variance-weighted (IVW) method. We used sensitivity analyses, including Cochran's Q, MR-PRESSO, and MR-Egger intercept tests, to verify the reliability of the MR results. The P-value of the IVW analysis was adjusted for the false discovery rate (FDR) to avoid false-positive results.

Results

The results of the IVW analysis revealed that genetically predicted MetS was positively associated with an increased risk of 11 types of cancers (P-FDR < 0.05, odds ratio [OR] = 1.23–3.01), including squamous cell lung cancer, lung cancer, endometrial cancer, endometrial cancer (endometrioid histology), endometrial cancer (non-endometrioid histology), rectal cancer, hepatic cancer, colorectal cancer, non-follicular lymphoma cancer, primary lymphoid and hematopoietic malignant neoplasm cancer, and thyroid cancer. Genetically predicted MetS was negatively associated with the risk of prostate cancer (P-FDR < 0.05, OR = 0.87). The sensitivity analyses revealed no heterogeneity or horizontal pleiotropy (P > 0.05) in the MR Egger intercept and MR-PRESSO tests, confirming the robustness of the results. Moreover, there were no reverse causalities between these cancers and MetS.

Conclusion

Our study revealed a positive causal relationship between genetically predicted MetS and lung cancer, lung squamous cell carcinoma, endometrial cancer, colorectal cancer, hepatic cancer, non-follicular lymphoma cancer, primary lymphoid and hematopoietic malignant neoplasm cancer, and thyroid cancer, and a negative causal relationship between genetically predicted MetS and prostate cancer, which provides important insights into the cancer prevention, treatment, and long-term health management of MetS.
代谢综合征与癌症风险:一项双向双样本孟德尔随机研究
越来越多的证据表明,代谢综合征(MetS)有助于癌症的发展,但因果关系尚不清楚。本研究旨在通过双向孟德尔随机化(MR)分析,探讨MetS与50种癌症(包括主要癌症亚型)之间的潜在因果关系。方法从IEU-GWAS数据库和CNCR-CTGLAB下载全基因组关联研究(GWAS)数据。我们通过逆方差加权(IVW)方法调查了MetS与癌症之间的因果关系。我们使用敏感性分析,包括Cochran’s Q、MR- presso和MR- egger截距检验,来验证MR结果的可靠性。IVW分析的p值根据错误发现率(FDR)进行调整,以避免假阳性结果。结果IVW分析结果显示,基因预测的MetS与11种癌症的风险增加呈正相关(P-FDR <;0.05,优势比[OR] = 1.23-3.01),包括肺癌鳞状细胞癌、肺癌、子宫内膜癌、子宫内膜癌(子宫内膜样组织学)、子宫内膜癌(非子宫内膜样组织学)、直肠癌、肝癌、结直肠癌、非滤泡性淋巴瘤、原发性淋巴及造血恶性肿瘤、甲状腺癌。遗传预测MetS与前列腺癌风险呈负相关(P-FDR <;0.05,或= 0.87)。敏感性分析显示没有异质性或水平多效性(P >;0.05)在MR Egger截距和MR- presso测试中,证实了结果的稳健性。此外,这些癌症和met之间没有反向因果关系。结论基因预测met与肺癌、肺鳞癌、子宫内膜癌、结直肠癌、肝癌、非滤泡性淋巴瘤、原发性淋巴细胞和造血恶性肿瘤、甲状腺癌呈正相关,与前列腺癌呈负相关,为癌症的预防、治疗、治疗和预后提供了重要依据。以及MetS的长期健康管理
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Experimental gerontology
Experimental gerontology Ageing, Biochemistry, Geriatrics and Gerontology
CiteScore
6.70
自引率
0.00%
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0
审稿时长
66 days
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