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探索免疫细胞在胶质瘤中的作用:因果关联及临床意义

Exploring the Role of Immune Cells in Glioma: Causal Associations and Clinical Implications.

作者信息

Pan Yimin, Sun Xiaoshun, Luo Fushu, Chen Zheng, Liu Chunbo, Zhu Yongye, Wang Jiaxiang, Chen Ruixuan, Liu Qing, Wu Changwu, Tan Jun

机构信息

Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.

出版信息

Int J Med Sci. 2025 Jun 12;22(12):2973-2991. doi: 10.7150/ijms.116560. eCollection 2025.

Abstract

Gliomas, the predominant malignant neoplasm of the central nervous system, are notorious for their recurrence and unfavourable prognosis. Immune cells play a pivotal role in the progression of various solid tumors, including gliomas. This study aims to explore the potential causal effect of immune cells on the risk of glioma and the association between immune cells and clinical characteristics in glioma. This study used the public genome-wide association studies (GWAS) summary data of 731 immune cell traits and gliomas to perform two-sample Mendelian randomization (MR) analysis. The MR analysis primarily employed the inverse variance weighting (IVW) method, supplemented by three additional methods, alongside comprehensive pleiotropy and heterogeneity analyses. In addition, 151 glioma samples were collected for RNA-Seq to construct the CSUXY cohort, and RNA-Seq data and clinical information of 588 glioma samples in the TCGA cohort were collected. The associations between immune cell abundance and clinical characteristics and drug sensitivity of each sample were inferred in the two cohorts. Based on the IVW method, this study identified potential causal associations between 16 immune cell traits and the risk of glioma. The other three MR analysis methods had consistent causal directions with the IVW method and there was no horizontal pleiotropy and heterogeneity. Higher levels of immune cell infiltration were observed in IDH wild-type and 1p19q non-codel gliomas compared to IDH mutant and 1p19q codel gliomas across both the CSUXY and TCGA cohorts. In addition, the abundance of immune cells was also associated with the grade, histological subtype and prognosis of gliomas. Finally, this study also identified broad associations between immune cell abundance and drug sensitivity in glioma. This study supports the causal effects of specific immune cell traits on glioma and confirms the associations between immune cells and clinical characteristics, as well as drug sensitivity in glioma, providing evidence for the development of immune cell-based biomarkers.

摘要

胶质瘤是中枢神经系统最主要的恶性肿瘤,以其复发和不良预后而臭名昭著。免疫细胞在包括胶质瘤在内的各种实体瘤进展中起关键作用。本研究旨在探讨免疫细胞对胶质瘤风险的潜在因果效应以及免疫细胞与胶质瘤临床特征之间的关联。本研究使用了731个免疫细胞特征和胶质瘤的公共全基因组关联研究(GWAS)汇总数据进行两样本孟德尔随机化(MR)分析。MR分析主要采用逆方差加权(IVW)方法,并辅以另外三种方法,同时进行全面的多效性和异质性分析。此外,收集了151例胶质瘤样本进行RNA测序以构建CSUXY队列,并收集了TCGA队列中588例胶质瘤样本的RNA测序数据和临床信息。在两个队列中推断每个样本的免疫细胞丰度与临床特征和药物敏感性之间的关联。基于IVW方法,本研究确定了16种免疫细胞特征与胶质瘤风险之间的潜在因果关联。其他三种MR分析方法与IVW方法具有一致的因果方向,并且没有水平多效性和异质性。在CSUXY和TCGA队列中,与IDH突变型和1p19q共缺失型胶质瘤相比,在IDH野生型和1p19q非共缺失型胶质瘤中观察到更高水平的免疫细胞浸润。此外,免疫细胞的丰度还与胶质瘤的分级、组织学亚型和预后相关。最后,本研究还确定了免疫细胞丰度与胶质瘤药物敏感性之间的广泛关联。本研究支持特定免疫细胞特征对胶质瘤的因果效应,并证实了免疫细胞与临床特征以及胶质瘤药物敏感性之间的关联,为基于免疫细胞的生物标志物的开发提供了证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf16/12244049/ec89edea90c6/ijmsv22p2973g001.jpg

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