Ye Lingfang, Chen Beilei, Cen Meng, Lin Qianya
Department of Gynecology, Women and Children's Hospital, Ningbo University, Ningbo, People's Republic of China.
J Obstet Gynaecol. 2025 Dec;45(1):2541610. doi: 10.1080/01443615.2025.2541610. Epub 2025 Aug 7.
We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis.
MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. We conducted a dual-sample MR analysis to investigate the causal relationship between 731 immune cell phenotypes and endometrial cancer (EC). The weighted-median method and inverse variance weighted method MR were mainly used, and the -value was corrected with the Benjamini-Hochberg procedure.
The forward MR analysis revealed a causal relationship between EC and eight immune-cell phenotypes. The reverse MR analysis identified two immune-cell phenotypes with a potential causal effect on EC, with additional subtype-specific associations observed for endometrioid and non-endometrioid histology.
Our study demonstrated a causal relationship between immune cells and EC, thereby providing guidance for the development of future immunoregulatory therapeutic strategies.
我们通过进行两样本双向孟德尔随机化（MR）分析，研究了免疫细胞与子宫内膜癌之间的关系。
MR使用基因变异作为工具变量，以研究暴露对观察数据结果的因果效应。我们进行了双样本MR分析，以研究731种免疫细胞表型与子宫内膜癌（EC）之间的因果关系。主要使用加权中位数法和逆方差加权法MR，并采用Benjamini-Hochberg程序校正P值。
正向MR分析揭示了EC与八种免疫细胞表型之间的因果关系。反向MR分析确定了两种对EC具有潜在因果效应的免疫细胞表型，并观察到子宫内膜样和非子宫内膜样组织学的其他亚型特异性关联。
我们的研究证明了免疫细胞与EC之间的因果关系，从而为未来免疫调节治疗策略的开发提供了指导。
