Suppr超能文献

一种与钙相关的免疫特征在胶质瘤患者预后预测中的作用

A Calcium-Related Immune Signature in Prognosis Prediction of Patients With Glioma.

作者信息

Lin Cha, Chen Jian, Su Zhaoying, Liu Pei, Liu Zheyu, Zhu Chenchen, Xu Dan, Lin Zhongda, Xu Pei, Liu Ganqiang, Liu Xinjian

机构信息

Department of Biochemistry, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, Shenzhen, China.

Neurobiology Research Center, School of Medicine, Sun Yat-sen University, Shenzhen, China.

出版信息

Front Cell Dev Biol. 2021 Sep 28;9:723103. doi: 10.3389/fcell.2021.723103. eCollection 2021.

Abstract

Immune checkpoint inhibitors have been successfully used in a variety of tumors, however, the efficacy of immune checkpoint blockade therapy for patients with glioma is limited. In this study, we tried to clarify gene expression signatures related to the prognosis of gliomas and construct a signature to predict the survival of patients with gliomas. Calcium-related differential expressed genes (DEGs) between gliomas and normal brain tissues were comprehensively analyzed in two independent databases. Univariate, multivariate Cox regression analysis and proportional hazards model were used to identify the prognostic of calcium-related risk score signature. The CIBERSORT algorithm and association analysis were carried out to evaluate the relationship between calcium-related signature and characteristic clinical features, tumor-infiltrating immune cell signatures as well as immune checkpoint molecules in glioma. A nomogram model was developed for predicting the overall survival for patients with gliomas. We found the intersection of 415 DEGs between gliomas and normal brain tissues, and identified that an eighteen calcium-related gene panel was significantly enriched in these DEGs. A calcium-related signature derived risk score was developed to divide patients into high- and low-risk groups. Low levels of calcium-related gene expression in high-risk score cases were accompanied with worse outcomes of patients. Calcium-related risk scores were significantly associated with characteristic clinical features, immune infiltrating signatures of tumor microenvironment, and exhausted T cell markers including programmed cell death 1 (PD-1), lymphocyte activating 3 (LAG3), and T cell membrane protein 3 (TIM-3), which contribute to an adverse therapeutic effect of immunotherapy. Calcium-related signature risk score was considered as an independent prognostic parameter to predict the of overall survival of patients with gliomas in nomogram model. Our study demonstrated that calcium signaling pathway is highly associated with immunosuppression of gliomas and overall survival of patients. Targeting the calcium signaling pathway might be a new strategy to reverse the immunosuppressive microenvironment of gliomas and improve the efficacy of glioma immunotherapy.

摘要

免疫检查点抑制剂已成功应用于多种肿瘤,然而,免疫检查点阻断疗法对胶质瘤患者的疗效有限。在本研究中,我们试图阐明与胶质瘤预后相关的基因表达特征,并构建一个特征来预测胶质瘤患者的生存情况。在两个独立数据库中全面分析了胶质瘤与正常脑组织之间的钙相关差异表达基因(DEGs)。使用单变量、多变量Cox回归分析和比例风险模型来确定钙相关风险评分特征的预后情况。采用CIBERSORT算法和关联分析来评估钙相关特征与胶质瘤特征性临床特征、肿瘤浸润免疫细胞特征以及免疫检查点分子之间的关系。开发了一种列线图模型来预测胶质瘤患者的总生存期。我们发现了胶质瘤与正常脑组织之间415个DEGs的交集,并确定一个包含18个钙相关基因的基因集在这些DEGs中显著富集。开发了一个基于钙相关特征的风险评分,将患者分为高风险组和低风险组。高风险评分病例中钙相关基因表达水平较低与患者较差的预后相关。钙相关风险评分与特征性临床特征、肿瘤微环境的免疫浸润特征以及包括程序性细胞死亡蛋白1(PD-1)、淋巴细胞激活分子3(LAG3)和T细胞膜蛋白3(TIM-3)在内的耗竭性T细胞标志物显著相关,这些因素导致免疫治疗产生不良疗效。在列线图模型中,钙相关特征风险评分被视为预测胶质瘤患者总生存期的独立预后参数。我们的研究表明,钙信号通路与胶质瘤的免疫抑制和患者的总生存期高度相关。靶向钙信号通路可能是一种逆转胶质瘤免疫抑制微环境并提高胶质瘤免疫治疗疗效的新策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d5f/8505737/ec349d85082b/fcell-09-723103-g001.jpg

相似文献

1
A Calcium-Related Immune Signature in Prognosis Prediction of Patients With Glioma.
Front Cell Dev Biol. 2021 Sep 28;9:723103. doi: 10.3389/fcell.2021.723103. eCollection 2021.
3
Interferon gamma-related gene signature based on anti-tumor immunity predicts glioma patient prognosis.
Front Genet. 2023 Jan 13;13:1053263. doi: 10.3389/fgene.2022.1053263. eCollection 2022.
4
An Immune-Related Signature for Predicting the Prognosis of Lower-Grade Gliomas.
Front Immunol. 2020 Dec 8;11:603341. doi: 10.3389/fimmu.2020.603341. eCollection 2020.
5
Calcium-Related Gene Signatures May Predict Prognosis and Level of Immunosuppression in Gliomas.
Front Oncol. 2022 May 13;12:708272. doi: 10.3389/fonc.2022.708272. eCollection 2022.
8
MELK is a prognostic biomarker and correlated with immune infiltration in glioma.
Front Neurol. 2022 Oct 24;13:977180. doi: 10.3389/fneur.2022.977180. eCollection 2022.
10
Identification of RNA: 5-Methylcytosine Methyltransferases-Related Signature for Predicting Prognosis in Glioma.
Front Oncol. 2020 Aug 19;10:1119. doi: 10.3389/fonc.2020.01119. eCollection 2020.

引用本文的文献

1
The Role of TIM-3 in Glioblastoma Progression.
Cells. 2025 Feb 27;14(5):346. doi: 10.3390/cells14050346.
3
Combined ion beam irradiation platform and 3D fluorescence microscope for cellular cancer research.
Biomed Opt Express. 2024 Mar 25;15(4):2561-2577. doi: 10.1364/BOE.522969. eCollection 2024 Apr 1.
4
Biomimetic three-dimensional glioma model printed for the studies of glioma cells and neurons interactions.
Int J Bioprint. 2023 Mar 21;9(4):715. doi: 10.18063/ijb.715. eCollection 2023.

本文引用的文献

2
Proteogenomic and metabolomic characterization of human glioblastoma.
Cancer Cell. 2021 Apr 12;39(4):509-528.e20. doi: 10.1016/j.ccell.2021.01.006. Epub 2021 Feb 11.
3
TRIM59 suppresses NO production by promoting the binding of PIAS1 and STAT1 in macrophages.
Int Immunopharmacol. 2020 Dec;89(Pt A):107030. doi: 10.1016/j.intimp.2020.107030. Epub 2020 Oct 10.
4
Immune suppression in gliomas.
J Neurooncol. 2021 Jan;151(1):3-12. doi: 10.1007/s11060-020-03483-y. Epub 2020 Jun 15.
6
Functional Change of Effector Tumor-Infiltrating CCR5CD38HLA-DRCD8 T Cells in Glioma Microenvironment.
Front Immunol. 2019 Oct 9;10:2395. doi: 10.3389/fimmu.2019.02395. eCollection 2019.
7
Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma.
Nat Med. 2019 Mar;25(3):462-469. doi: 10.1038/s41591-019-0349-y. Epub 2019 Feb 11.
8
Macrophages as regulators of tumour immunity and immunotherapy.
Nat Rev Immunol. 2019 Jun;19(6):369-382. doi: 10.1038/s41577-019-0127-6.
9
A glial blueprint for gliomagenesis.
Nat Rev Neurosci. 2018 Jul;19(7):393-403. doi: 10.1038/s41583-018-0014-3.
10
Current state of immunotherapy for glioblastoma.
Nat Rev Clin Oncol. 2018 Jul;15(7):422-442. doi: 10.1038/s41571-018-0003-5.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验