Suppr超能文献

子宫内膜癌中的免疫细胞表型:从生物学意义到孟德尔随机化分析的临床应用

Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis.

作者信息

Ye Lingfang, Chen Beilei, Cen Meng, Lin Qianya

机构信息

Department of Gynecology, Women and Children's Hospital, Ningbo University, Ningbo, People's Republic of China.

出版信息

J Obstet Gynaecol. 2025 Dec;45(1):2541610. doi: 10.1080/01443615.2025.2541610. Epub 2025 Aug 7.

Abstract

BACKGROUND

We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis.

METHODS

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.

RESULTS

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.

CONCLUSION

Our study demonstrated a causal relationship between immune cells and EC, thereby providing guidance for the development of future immunoregulatory therapeutic strategies.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验