实用肿瘤学杂志 ›› 2025, Vol. 39 ›› Issue (3): 191-200.doi: 10.11904/j.issn.1002-3070.2025.03.004

• 临床研究 • 上一篇    下一篇

基于孟德尔随机化探究20种代谢产物与卵巢癌发病风险的因果关联

苏少飞, 张恩婕, 刘建辉, 高燕   

  1. 首都医科大学附属北京妇产医院/北京妇幼保健院中心实验室(北京 100026)
  • 收稿日期:2025-03-26 修回日期:2025-06-17 出版日期:2025-06-28 发布日期:2025-07-02
  • 通讯作者: 高燕,E-mail:gy19861@ccmu.edu.cn
  • 作者简介:苏少飞,男,(1989—),博士,助理研究员,从事妇幼相关疾病的病因学、临床研究方法学等相关研究。
  • 基金资助:
    首都医科大学附属北京妇产医院/北京妇幼保健院科技创新及转化专项(编号:FCYYJC202401)

Exploring the causal relationship between 20 metabolites and ovarian cancer risk based on Mendelian randomization

SU Shaofei, ZHANG Enjie, LIU Jianhui, GAO Yan   

  1. The Central Laboratory,Beijing Obstetrics and Gynecology Hospital,Capital Medical University,Beijing Maternal and Child Health Care Hospital,Beijing 100026,China
  • Received:2025-03-26 Revised:2025-06-17 Online:2025-06-28 Published:2025-07-02

摘要: 目的 利用孟德尔随机化方法分析20种血清代谢产物与卵巢癌发病风险的因果关联。方法 从MRC-IEU数据库中获取20种血清代谢产物的基因变异作为反映暴露水平的工具变量,卵巢癌患者的基因变异作为反映结局水平的工具变量,卵巢癌数据集ieu-a-1120包含66 450名欧洲女性样本(其中25 509例为卵巢癌),数据集ieu-a-1228包含54 990名欧洲女性样本(其中14 049例为卵巢癌),对二者进行两样本双向孟德尔随机化分析。本研究采用逆方差加权(inverse variance weighted,IVW)、加权中位数法、MR-Egger回归,并结合简单模式与加权模式等多种分析方法。分析20种代谢产物和卵巢癌发病风险的因果效应。采用Cochran′s Q检验进行敏感性分析,验证结果的可靠性;使用MR-Egger截距检验评估工具变量的水平多效性,使用留一法评估结果中是否存在对卵巢癌发病具有潜在影响的单核苷酸(single nucleotide polymorphisms,SNP)多态性。最后,通过细胞增殖和凋亡实验验证尿苷对卵巢癌细胞的影响。结果 尿苷与卵巢癌的发生呈负相关,差异具有统计学意义(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017)。MR-Egger回归分析等方法证实分析结果的稳健性和可靠性。CCK-8实验证实尿苷以浓度依赖的方式抑制卵巢癌细胞的增殖,10 mM可显著抑制SKOV3(P<0.001)和A2780(P<0.001)的增殖。流式分析显示尿苷处理卵巢癌细胞24 h后,10 mM浓度对卵巢癌细胞促凋亡效应最强,在SKOV3和A2780细胞中均显著(分别为P<0.05和P<0.001)。结论 尿苷与卵巢癌发病风险呈负相关,这一发现为深入解析卵巢癌的致病机理及优化临床治疗策略奠定了理论基础。

关键词: 孟德尔随机化, 卵巢癌, 尿苷, 增殖, 凋亡

Abstract: Objective Mendelian randomization was used to analyze the causal association between 20 serum metabolites and the risk of ovarian cancer. Methods The gene variations of 20 serum metabolites were obtained from the MRC IEU database as tool variables reflecting exposure levels,while gene variations of ovarian cancer patients were used as instrumental variables reflecting outcome levels.The ovarian cancer dataset ieu-a-1120 included 66,450 European women samples(of which 25,509 were ovarian cancer),and the dataset ieu-a-1228 included 54,990 European women samples(of which 14,049 were ovarian cancer).Two-sample two-way Mendelian randomization analysis was performed on both datasets.This study used inverse variance-weighted(IVW),weighted median method,MR-Egger regression,and combined various analysis methods such as simple mode,and weighted mode.The causal effects of 20 metabolites and the risk of ovarian cancer were analyzed.Cochran′s Q test was used to perform sensitivity analysis and to verify the reliability of the results.MR Egger intercept test was used to assess the horizontal pleiotropy of tool variables,and use the leave-one-out method to assess whether there were single nucleotide polymorphisms(SNPs)in the results that might have a potential impact on the incidence of ovarian cancer.Finally,the effects of uridine on ovarian cancer cells were verified through cell proliferation and apoptosis experiments. Results The results showed a negative correlation between uridine and the occurrence of ovarian cancer,with statistically significance(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017).MR-Egger regression analysis confirmed the sensitivity and robustness of the analysis results.The CCK8 assay confirmed that uridine inhibited the proliferation of ovarian cancer cells in a concentration-dependent manner,and uridine at a concentration of 10 mM significantly promoted apoptosis in SKOV3 cells(P<0.001)and A2780 cells(P<0.001).Flow cytometry analysis showed that after treatment for 24 hours,uridine at a concentration of 10 mM had the strongest pro-apoptotic effect on ovarian cancer cells,which was significant in SKOV3 and A2780 cells(P<0.05 and P<0.001,respectively). Conclusion Uridine is negatively correlated with the risk of ovarian cancer,which lays a theoretical foundation for further understanding the pathogenesis of ovarian cancer and optimizing clinical treatment strategies.

Key words: Mendelian randomization, Ovarian cancer, Uridine, Cell proliferation, Apoptosis

中图分类号: