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三种泌尿系统癌症发生发展过程中的免疫系统改变:来自大样本孟德尔随机化研究的见解

Immune System Alterations in the Development of Three Urological Cancers: Insights from Large-Sample Mendelian Randomization.

作者信息

Chen Zhijian, Xie Ye, Chen Xiong, Hong Guibin, Shen Runnan, Lin Haishan, Jiang Fan, Wang Yun, Zhu Mengyi, Liu Yixuan, Wang Haoxuan, Yang Hongkun, Lin Tianxin, Wu Shaoxu

机构信息

Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.

Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou 510060, China.

出版信息

Biomedicines. 2025 Jun 16;13(6):1480. doi: 10.3390/biomedicines13061480.

Abstract

Urological cancers (UCs) greatly impact global public health. While immunity plays an important role, the contribution of specific immune cell traits to the development of UCs remains unclear. In our study, we employed Mendelian randomization (MR) to elucidate the causal relationship between 731 immune cell traits and three common UCs, namely kidney cancer (KC), bladder cancer (BC), and prostate cancer (PC). In our research, we adopted and preprocessed the statistics of 731 immune cell types from the GWAS Catalog. The data of three common UCs were acquired from two databases, FinnGen and IEU. Five MR analysis models, including random-effect inverse-variance weighted, weighted median, MR Egger, weighted mode, and simple mode, were used to assess the association between 731 immune cell traits and UCs. Subsequently, a meta-analysis of the IVW method was performed, and the significant results were analyzed using the reverse MR method. Sensitivity analyses, including leave-one-out analysis, were also performed. When analyzing the two datasets separately, 25, 41, and 23 immune phenotypes were found to be significantly associated with BC, PC, and KC, respectively. When applying meta-analysis, the combined results showed that a total of 18 immune cell types manifested the significant association, including 4 and 14 immune cell traits regarding BC and PC, respectively. Utilizing reverse MR analysis on the combined results, we found that two immune cell traits, namely lymphocyte absolute cell counts and CX3CR1 on CD14+ CD16- monocytes, showed a reverse causal relationship with PC. Our research depicts the immune landscape for these three common UCs, highlighting their strong genetic associations with immune cells. It provides valuable insights for identifying the systemic immunological context of cancer susceptibility and the development of blood-based immunological biomarkers and therapeutic targets.

摘要

泌尿系统癌症(UCs)对全球公共卫生有重大影响。虽然免疫起着重要作用,但特定免疫细胞特征对UCs发生发展的贡献仍不清楚。在我们的研究中,我们采用孟德尔随机化(MR)来阐明731种免疫细胞特征与三种常见泌尿系统癌症之间的因果关系,这三种癌症分别是肾癌(KC)、膀胱癌(BC)和前列腺癌(PC)。在我们的研究中,我们采用并预处理了来自GWAS目录的731种免疫细胞类型的统计数据。三种常见泌尿系统癌症的数据从两个数据库FinnGen和IEU中获取。使用了五种MR分析模型,包括随机效应逆方差加权、加权中位数、MR-Egger、加权模式和简单模式,来评估731种免疫细胞特征与泌尿系统癌症之间的关联。随后,对IVW方法进行了荟萃分析,并使用反向MR方法对显著结果进行了分析。还进行了敏感性分析,包括留一法分析。分别分析两个数据集时,发现25种、41种和23种免疫表型分别与膀胱癌、前列腺癌和肾癌显著相关。应用荟萃分析时,综合结果显示共有18种免疫细胞类型表现出显著关联,其中分别有4种和14种免疫细胞特征与膀胱癌和前列腺癌有关。对综合结果进行反向MR分析时,我们发现两种免疫细胞特征,即淋巴细胞绝对细胞计数和CD14+CD16-单核细胞上的CX3CR1,与前列腺癌呈反向因果关系。我们的研究描绘了这三种常见泌尿系统癌症的免疫格局,突出了它们与免疫细胞的强遗传关联。它为确定癌症易感性的全身免疫背景以及基于血液的免疫生物标志物和治疗靶点的开发提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70f/12191397/30fea0578841/biomedicines-13-01480-g001.jpg

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