Jiaozhou Hospital of Tongji University Dongfang Hospital Qingdao, Shangdong, China.
Medicine (Baltimore). 2024 Oct 25;103(43):e40189. doi: 10.1097/MD.0000000000040189.
In recent years, an increasing number of observational studies have reported the impact of amino acids on ovarian cancer. However, Mendelian randomization studies have not yet been conducted to explore the causal relationship between them in the context of ovarian cancer. This study conducted Mendelian randomization (MR) analysis of 20 amino acids in relation to ovarian cancer data from 2 different sources within the European population, using a two-sample MR approach. The primary results from the inverse variance weighting analysis were then subjected to a meta-analysis, followed by multiple testing correction for the meta-analysis thresholds. Finally, reverse causality testing was performed on the positively associated amino acids and ovarian cancer. MR analyses were conducted for 20 amino acids with ovarian cancer data from both the Finngen R10 and Open genome-wide association study databases. The inverse variance weighted results from these 2 analyses were then combined through meta-analysis, with multiple corrections applied to the significance thresholds of the meta-analysis results. The findings showed that only cysteine had a significant association with ovarian cancer, with an (odds ratio) odds ratio value of 0.507 (95% confidence interval: 0.335-0.767, P = .025). The P-value of the combined MR and meta-analysis, after multiple testing correction, was 0.025, indicating statistical significance (P < .05). Additionally, cysteine did not show a reverse causal relationship with ovarian cancer in either data source. Cysteine is a protective factor for ovarian cancer, potentially reducing the risk of ovarian cancer and slowing the progression of the disease.
近年来,越来越多的观察性研究报告了氨基酸对卵巢癌的影响。然而,孟德尔随机化研究尚未进行,以探讨在卵巢癌背景下它们之间的因果关系。本研究使用两样本孟德尔随机化(MR)分析方法,对欧洲人群中来自 2 个不同来源的 20 种氨基酸与卵巢癌数据进行了 MR 分析。然后对逆方差加权分析的主要结果进行荟萃分析,并对荟萃分析阈值进行多重检验校正。最后,对正相关氨基酸和卵巢癌进行反向因果关系检验。对来自 Finngen R10 和 Open 全基因组关联研究数据库的卵巢癌数据进行了 20 种氨基酸的 MR 分析。对这 2 项分析的逆方差加权结果进行荟萃分析,并对荟萃分析结果的显著性阈值进行多重校正。结果表明,只有半胱氨酸与卵巢癌有显著关联,比值比(OR)值为 0.507(95%置信区间:0.335-0.767,P=0.025)。经过多重检验校正后,联合 MR 和荟萃分析的 P 值为 0.025,表明具有统计学意义(P<.05)。此外,在两个数据源中,半胱氨酸均未显示与卵巢癌的反向因果关系。半胱氨酸是卵巢癌的保护因素,可能降低卵巢癌的风险并减缓疾病的进展。