免疫细胞对弥漫大 B 细胞淋巴瘤的影响:孟德尔随机分析

Honghua He, Jihong Zhong, Qinghua Li, Chen Deng, Xin Yuan, Kaixiang Zhang, Lirong Nie, Nali Cai
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摘要

目的:阐明免疫细胞与弥漫大B细胞淋巴瘤(DLBCL)之间的因果关系:为了阐明免疫细胞与弥漫大B细胞淋巴瘤(DLBCL)之间的因果关系,我们进行了孟德尔随机分析:孟德尔随机化(MR)利用遗传变异作为工具,从观察数据中推断因果效应。在此,我们进行了双样本 MR 分析,以评估 731 种免疫细胞类型对 DLBCL 的因果影响。我们采用了各种磁共振技术,包括加权中值估计器(WME)和逆方差加权(IVW),并进行了敏感性分析以确保结果的稳健性。此外,我们还进行了反向磁共振分析,以探讨DLBCL与免疫细胞之间的潜在因果关系:我们发现了17个与DLBCL有因果关系的免疫特征,这些特征被归类于不同的细胞组:4个在B细胞中,2个在T细胞成熟阶段,6个在Tregs中,4个在TBNK组,1个在树突状细胞(DCs)中。敏感性分析证实,我们的研究结果不存在异质性、水平多生物效应和偏差。反向因果分析表明,DLBCL与17种免疫细胞类型中的一种存在因果关系:我们对十七种免疫细胞类型的磁共振分析揭示了免疫系统与 DLBCL 之间复杂的相互作用,为了解肿瘤微环境和靶向免疫疗法的潜在途径提供了重要依据。
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Immune Cell Influence on Diffuse Large B-Cell Lymphoma: A Mendelian Randomization Analysis
Objective: To elucidate the causal relationship between immune cells and diffuse large B-cell lymphoma (DLBCL), we conducted a Mendelian randomization analysis. Methods: Mendelian randomization (MR) leverages genetic variants as instruments to infer causal effects from observational data. Here, we performed a two-sample MR analysis to assess the causal impact of 731 immune cell types on DLBCL. We employed various MR techniques, including the weighted median estimator (WME) and inverse variance weighting (IVW), and conducted sensitivity analyses to ensure result robustness. Additionally, reverse MR analysis was performed to explore the potential causal relationship between DLBCL and immune cells. Results: We identified seventeen immune features with causal links to DLBCL, categorized across various cellular groups: four in B cells, two in T cell maturation stages, six in Tregs, four in the TBNK group, and one in dendritic cells (DCs). Sensitivity analyses confirmed the absence of heterogeneity, horizontal pleiotropy, and bias in our findings. Reverse causal analysis revealed a causal association between DLBCL and one of the seventeen immune cell types identified. Conclusions: Our MR analysis of seventeen immune cell types uncovers the complex interactions between the immune system and DLBCL, providing crucial insights into the tumor microenvironment and potential avenues for targeted immunotherapy.
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