Department of Urology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Department of Urology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Front Endocrinol (Lausanne). 2024 Nov 12;15:1443330. doi: 10.3389/fendo.2024.1443330. eCollection 2024.
Recently, serum metabolites have shown potential in predicting survival outcomes and may be related to the pathogenesis of prostate cancer. Nevertheless, the precise impact concerning the genetic effect of metabolites on prostate cancer risk remains obscure. In this context, we conducted a Mendelian randomization (MR) study aiming to explore the causality between genetically determined metabolites and the risk of prostate cancer.
We conducted a two-sample MR analysis aiming to identify the underlying metabolites associated with prostate cancer. Exposure information was obtained from the largest metabolome-based genome-wide association (GWAS) data containing 7,824 Europeans. Genome-wide association analysis was utilized to detect instrumental variables (IVs) for metabolites. We applied the inverse-variance weighted (IVW) approach as the primary method, and to augment the reliability and robustness of our findings, additional analysis methods encompassing weighted median, MR-Egger, and leave-one-out analysis were utilized. MR-Egger intercept test was implemented to explore the pleiotropy. Cochran's Q test was utilized to quantify the degree of heterogeneity. Additionally, we performed metabolic pathway analysis and single-cell RNA sequencing analysis.
We found that three serum metabolites were causally associated with prostate cancer after utilizing rigorous screening standards. Utilizing single nucleotide polymorphisms as IVs, a 1-SD increase in fructose was associated with 77% higher risk of prostate cancer (OR:1.77, 95%CI: 1.05-2.97, P=0.031), a 1-SD increase in N1-methyl-3-pyridone-4-carboxamide was associated with 29% higher risk of prostate cancer (OR:1.29, 95%CI: 1.05-1.58, P=0.017), and a 1-SD increase in 12-hydroxyeicosatetraenoate (12-HETE) was associated with 18% higher risk of prostate cancer (OR:1.18, 95%CI: 1.07-1.31, P=0.0008). Metabolites that were causally linked to the risk of prostate cancer were mainly enriched in the valine, leucine and isoleucine biosynthesis pathway (P=0.026) and the nicotinate and nicotinamide metabolism pathway (P=0.048).
Our MR analysis provided suggestive evidence supporting the causal relationships between three identified serum metabolites and prostate cancer, necessitating further investigation to elucidate the underlying mechanisms through which these blood metabolites and metabolic pathways may impact the initiation and progression of prostate cancer.
最近,血清代谢物在预测生存结果方面显示出了潜力,并且可能与前列腺癌的发病机制有关。然而,关于代谢物的遗传效应与前列腺癌风险之间的确切关系仍不清楚。在这方面,我们进行了一项孟德尔随机化(MR)研究,旨在探讨遗传决定的代谢物与前列腺癌风险之间的因果关系。
我们进行了两样本 MR 分析,旨在确定与前列腺癌相关的潜在代谢物。暴露信息来自包含 7824 名欧洲人的最大基于代谢组的全基因组关联(GWAS)数据。利用全基因组关联分析检测代谢物的工具变量(IVs)。我们应用逆方差加权(IVW)方法作为主要方法,并使用加权中位数、MR-Egger 和单样本分析等额外分析方法来增强我们发现的可靠性和稳健性。MR-Egger 截距检验用于探索潜在的异质性。Cochran's Q 检验用于量化异质性程度。此外,我们还进行了代谢途径分析和单细胞 RNA 测序分析。
我们发现,在使用严格的筛选标准后,三种血清代谢物与前列腺癌存在因果关系。使用单核苷酸多态性作为 IVs,果糖水平每增加 1 个标准差,前列腺癌的风险就会增加 77%(OR:1.77,95%CI:1.05-2.97,P=0.031);N1-甲基-3-吡啶酮-4-甲酰胺每增加 1 个标准差,前列腺癌的风险就会增加 29%(OR:1.29,95%CI:1.05-1.58,P=0.017);12-羟基二十碳四烯酸(12-HETE)每增加 1 个标准差,前列腺癌的风险就会增加 18%(OR:1.18,95%CI:1.07-1.31,P=0.0008)。与前列腺癌风险相关的代谢物主要富集在缬氨酸、亮氨酸和异亮氨酸生物合成途径(P=0.026)和烟酸和烟酰胺代谢途径(P=0.048)中。
我们的 MR 分析提供了有说服力的证据,支持三种已确定的血清代谢物与前列腺癌之间的因果关系,需要进一步研究以阐明这些血液代谢物和代谢途径如何影响前列腺癌的发生和发展的潜在机制。