Causal Relationship Between Blood Metabolites and Prostate Cancer Risk: A Two-Sample Mendelian Randomization Study.

IF 3 2区 医学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shuai Liu, Jingjing Zhu, Huizhen Zhang, Hua Zhong, Hoi Tung Hilton Wong, Liang Wang, Lang Wu
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引用次数: 0

Abstract

Recent research has increasingly suggested an association between changes in specific blood metabolites and prostate cancer (PCa) development. However, it remains unclear whether these observed associations represent a causal relationship. To reveal the potential causal associations between blood metabolites and PCa risk, we conducted a comprehensive two-sample Mendelian randomization (MR) analysis. We used genetic instruments for 514 and 490 metabolites from two independent comprehensive genome-wide association studies. These studies included 14,295 individuals of European ancestry from the INTERVAL/EPIC-Norfolk cohorts and 8299 individuals of European ancestry from the Canadian Longitudinal Study on Aging cohort. Summary statistics of PCa risk involving 122,188 cases and 604,640 controls of European ancestry individuals were analyzed. The associations between metabolites and PCa risk were evaluated using the inverse-variance weighted method, supplemented by sensitivity analyses including MR-Egger and MR-PRESSO tests. Additionally, we conducted a phenome-wide MR analysis to assess the potential side effects of targeting the identified metabolites for PCa intervention. Our analysis revealed 107 unique blood metabolites significantly associated with PCa risk, with 43 of these associations consistently replicated using instruments from two independent data sets. This study provides novel insights into the potential role of specific metabolites in the etiology of PCa, which warrants further investigations.

血液代谢物与前列腺癌风险的因果关系:一项双样本孟德尔随机研究。
最近的研究越来越多地表明,特定血液代谢物的变化与前列腺癌(PCa)的发展之间存在关联。然而,尚不清楚这些观察到的关联是否代表因果关系。为了揭示血液代谢物与PCa风险之间的潜在因果关系,我们进行了一项全面的双样本孟德尔随机化(MR)分析。我们使用遗传仪器对来自两个独立的全基因组关联研究的514种和490种代谢物进行了分析。这些研究包括来自INTERVAL/EPIC-Norfolk队列的14295名欧洲血统个体和来自加拿大老龄化纵向研究队列的8299名欧洲血统个体。分析了122188例病例和604640例对照欧洲血统个体的PCa风险汇总统计数据。使用反方差加权法评估代谢物与PCa风险之间的关联,并辅以敏感性分析,包括MR-Egger和MR-PRESSO测试。此外,我们进行了全现象范围的MR分析,以评估针对已确定的代谢物进行PCa干预的潜在副作用。我们的分析显示107种独特的血液代谢物与PCa风险显著相关,其中43种关联使用来自两个独立数据集的仪器一致地复制。这项研究为特定代谢物在PCa病因学中的潜在作用提供了新的见解,值得进一步研究。
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
Molecular Carcinogenesis
Molecular Carcinogenesis 医学-生化与分子生物学
CiteScore
7.30
自引率
2.20%
发文量
112
审稿时长
2 months
期刊介绍: Molecular Carcinogenesis publishes articles describing discoveries in basic and clinical science of the mechanisms involved in chemical-, environmental-, physical (e.g., radiation, trauma)-, infection and inflammation-associated cancer development, basic mechanisms of cancer prevention and therapy, the function of oncogenes and tumors suppressors, and the role of biomarkers for cancer risk prediction, molecular diagnosis and prognosis.
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