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对胶质母细胞瘤预后和药物筛选的小胶质细胞基因和亚途径特征进行综合分析:将小胶质细胞与胶质母细胞瘤联系起来。

Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma.

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.

Center of Cerebrovascular Disease, Zhuhai People's Hospital, Zhuhai Hospital Affiliated With Jinan University, Zhuhai, 519000, China.

出版信息

J Transl Med. 2022 Jun 21;20(1):277. doi: 10.1186/s12967-022-03475-8.

Abstract

Glioma is the most common malignant tumors in the brain. Previous studies have revealed that, as the innate immune cells in nervous system, microglia cells were involved in glioma pathology. And, the resident microglia displayed its specific biological roles which distinguished with peripheral macrophages. In this study, an integrated analysis was performed based on public resource database to explore specific biological of microglia within glioma. Through comprehensive analysis, the biological characterization underlying two conditions, glioma microglia compared to glioma macrophage (MicT/MacT) as well as glioma microglia compared to normal microglia (MicT/MicN), were revealed. Notably, nine core MicT/MicN genes displayed closely associations with glioma recurrence and prognosis, such as P2RY2, which was analyzed in more than 2800 glioma samples from 25 studies. Furthermore, we applied a random walk based strategy to identify microglia specific subpathways and developed SubP28 signature for glioma prognostic analysis. Multiple validation data sets confirmed the predictive performance of SubP28 and involvement in molecular subtypes. The associations between SuP28 score and microglia M1/M2 polarization were also explored for both GBM and LGG types. Finally, a comprehensive drug-subpathway network was established for screening candidate medicable molecules (drugs) and identifying therapeutic subpathway targets. In conclusions, the comprehensive analysis of microglia related gene and functional signatures in glioma pathobiologic events by large-scale data sets displayed a framework to dissect inner connection between microglia and glioma, and identify robust signature for glioma clinical implications.

摘要

神经胶质细胞瘤是最常见的脑恶性肿瘤。先前的研究表明,作为神经系统中的固有免疫细胞,小胶质细胞参与了神经胶质瘤的病理过程。而且,驻留的小胶质细胞表现出与其外周巨噬细胞不同的特定生物学功能。在这项研究中,我们基于公共资源数据库进行了综合分析,以探索神经胶质瘤中小胶质细胞的特定生物学功能。通过综合分析,揭示了两种情况下小胶质细胞的生物学特征,即神经胶质瘤小胶质细胞与神经胶质瘤巨噬细胞(MicT/MacT)相比,以及神经胶质瘤小胶质细胞与正常小胶质细胞(MicT/MicN)相比。值得注意的是,有九个核心的 MicT/MicN 基因与神经胶质瘤的复发和预后密切相关,例如 P2RY2,在 25 项研究中对超过 2800 个神经胶质瘤样本进行了分析。此外,我们应用基于随机游走的策略来识别小胶质细胞特异的亚通路,并开发了 SubP28 signature 用于神经胶质瘤的预后分析。多个验证数据集证实了 SubP28 的预测性能及其在分子亚型中的参与。还探索了 SubP28 评分与 GBM 和 LGG 两种类型的小胶质细胞 M1/M2 极化之间的相关性。最后,建立了一个全面的药物-亚通路网络,用于筛选候选治疗性药物和鉴定治疗性亚通路靶点。总之,通过大规模数据集对神经胶质瘤病理生物学事件中小胶质细胞相关基因和功能特征的综合分析,为揭示小胶质细胞与神经胶质瘤之间的内在联系,以及确定神经胶质瘤临床意义的稳健特征提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14ba/9210642/4251c5338369/12967_2022_3475_Fig1_HTML.jpg

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