基于两样本孟德尔随机化方法分析免疫细胞与乳腺癌的因果关系  

Analysis of Association Between Immune Cells and Breast Cancer Based on Two-sample Mendelian Randomization Method

作　　者：王远航 宋之圆 路平[1] 张敏[1] WANG Yuanhang;SONG Zhiyuan;LU Ping;ZHANG Min(Department of Oncology,The First Affiliated Hospital of Xinxiang Medical College,Xinxiang 453100,China;Department of Ultrasound Medicine,The First Affiliated Hospital of Henan University,Kaifeng 475000,China)

机构地区：[1]新乡医学院第一附属医院肿瘤内科二病区,新乡453100 [2]河南大学第一附属医院超声医学科,开封475000

出　　处：《肿瘤防治研究》2024年第5期348-352,共5页Cancer Research on Prevention and Treatment

基　　金：河南省科技厅科技攻关项目(212102310701)。

摘　　要：目的探究731种免疫细胞与乳腺癌的因果关系。方法使用免疫细胞和乳腺癌的全基因组关联数据(GWAS),通过逆方差加权(IVW)和加权中位数(WM)法进行孟德尔随机化分析(MR),并采用敏感性分析评估异质性及多效性。结果以IVW作为主要分析方法(P>0.05),通过错误发现率(FDR)法校正P值,在显著性为0.05时,排除反向因果关系,共鉴定出19种免疫细胞表型与乳腺癌可能存在因果关联,有8种免疫表型可能增加乳腺癌发病的风险因素,另外有11种免疫表型可能降低乳腺癌的发病风险。结论某些免疫细胞表型可能是乳腺癌早期诊断和开发新的免疫疗法的预测标志。Objective To explore the causal relationship among 731 types of immune cells and breast cancer.Methods Genome-wide association data for immune cells and breast cancer were used.Mendelian randomization analysis was performed using the inverse variance weighting(IVW)and weighted median(WM)methods,and sensitivity analysis was conducted to assess heterogeneity and pleiotropy.Results A total of 19 immune cell phenotypes were identified to potentially have a causal association with breast cancer,using IVW as the main analysis method(P>0.05)and correcting P values using the false discovery rate method at a significance level of 0.05,excluding reverse causality.Of these,eight and 11 immune phenotypes may increase and decrease the risk of breast cancer,respectively.Conclusion This study explored the causal relationship between immune cells and breast cancer.Results show that certain immune cell phenotypes could serve as predictive markers for the early diagnosis of breast cancer and the development of new immun-otherapeutic strategies.

关 键 词：乳腺癌 免疫细胞 孟德尔随机化 单核苷酸多样性 

分 类 号：R737.9[医药卫生—肿瘤]