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免疫基因特征和免疫表型与免疫微环境与胶质瘤预后相关。

Immune Gene Signatures and Immunotypes in Immune Microenvironment Are Associated With Glioma Prognose.

机构信息

Department of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.

Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.

出版信息

Front Immunol. 2022 Apr 14;13:823910. doi: 10.3389/fimmu.2022.823910. eCollection 2022.

DOI:10.3389/fimmu.2022.823910
PMID:35493457
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9046586/
Abstract

Glioma is the most common primary malignant brain tumor in adults with very poor prognosis. The limited new therapeutic strategies for glioma patients can be partially attributed to the complex tumor microenvironment. However, knowledge about the glioma immune microenvironment and the associated regulatory mechanisms is still lacking. In this study, we found that, different immune subtypes have a significant impact on patient survival. Glioma patients with a high immune response subtype had a shorter survival compared with patients with a low immune response subtype. Moreover, the number of B cell, T cell, NK cell, and in particular, the macrophage in the immune microenvironment of patients with a high immune response subtype were significantly enhanced. In addition, 132 genes were found to be related to glioma immunity. The functional analysis and verification of seven core genes showed that their expression levels were significantly correlated with the prognosis of glioma patients, and the results were consistent at tissue levels. These findings indicated that the glioma immune microenvironment was significantly correlated with the prognosis of glioma patients and multiple genes were involved in regulating the progression of glioma. The identified genes could be used to stratify glioma patients based on immune subgroup analysis, which may guide their clinical treatment regimen.

摘要

脑胶质瘤是成人中最常见的原发性恶性脑肿瘤，预后极差。脑胶质瘤患者的新治疗策略有限，这在一定程度上可归因于其复杂的肿瘤微环境。然而，关于脑胶质瘤免疫微环境及其相关调控机制的知识仍然匮乏。在本研究中，我们发现不同的免疫亚型对患者的生存有显著影响。与低免疫反应亚型的患者相比，高免疫反应亚型的脑胶质瘤患者的生存时间更短。此外，高免疫反应亚型患者的免疫微环境中 B 细胞、T 细胞、NK 细胞，尤其是巨噬细胞的数量显著增加。此外，我们发现了 132 个与脑胶质瘤免疫相关的基因。对七个核心基因的功能分析和验证表明，它们的表达水平与脑胶质瘤患者的预后显著相关，且在组织水平上的结果一致。这些发现表明，脑胶质瘤免疫微环境与脑胶质瘤患者的预后显著相关，并且多个基因参与了调节脑胶质瘤的进展。鉴定出的基因可用于基于免疫亚群分析对脑胶质瘤患者进行分层，这可能有助于指导他们的临床治疗方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/a3263c1c190d/fimmu-13-823910-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/cd908f6997ca/fimmu-13-823910-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/8a027f2a8904/fimmu-13-823910-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/edbf57500e55/fimmu-13-823910-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/67556b243fe5/fimmu-13-823910-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/1d897e16e505/fimmu-13-823910-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/02d769413af5/fimmu-13-823910-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/396457e16d38/fimmu-13-823910-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/4476ee64d7ed/fimmu-13-823910-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/a3263c1c190d/fimmu-13-823910-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/cd908f6997ca/fimmu-13-823910-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/8a027f2a8904/fimmu-13-823910-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/edbf57500e55/fimmu-13-823910-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/67556b243fe5/fimmu-13-823910-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/1d897e16e505/fimmu-13-823910-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/02d769413af5/fimmu-13-823910-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/396457e16d38/fimmu-13-823910-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/4476ee64d7ed/fimmu-13-823910-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9046586/a3263c1c190d/fimmu-13-823910-g009.jpg

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Front Cell Dev Biol. 2021 Jul 21;9:706286. doi: 10.3389/fcell.2021.706286. eCollection 2021.
2
Key molecular alterations in endothelial cells in human glioblastoma uncovered through single-cell RNA sequencing.通过单细胞 RNA 测序揭示人类胶质母细胞瘤中内皮细胞的关键分子改变。
JCI Insight. 2021 Aug 9;6(15):e150861. doi: 10.1172/jci.insight.150861.
3
High Level of METTL7B Indicates Poor Prognosis of Patients and Is Related to Immunity in Glioma.
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Strahlenther Onkol. 2025 Apr;201(4):398-410. doi: 10.1007/s00066-024-02283-x. Epub 2024 Sep 9.
4
The Immunomodulatory Effects of Fluorescein-Mediated Sonodynamic Treatment Lead to Systemic and Intratumoral Depletion of Myeloid-Derived Suppressor Cells in a Preclinical Malignant Glioma Model.荧光素介导的声动力治疗的免疫调节作用导致临床前恶性胶质瘤模型中骨髓来源的抑制细胞在全身和肿瘤内的耗竭。
Cancers (Basel). 2024 Feb 15;16(4):792. doi: 10.3390/cancers16040792.
5
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