• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

了解胶质母细胞瘤中的免疫系统和基于生物样本的反应:利用信号冗余进行生物标志物和免疫特征发现的实用指南。

Understanding the Immune System and Biospecimen-Based Response in Glioblastoma: A Practical Guide to Utilizing Signal Redundancy for Biomarker and Immune Signature Discovery.

作者信息

Jackson Luke R, Erickson Anna, Camphausen Kevin, Krauze Andra V

机构信息

Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institute of Health, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA.

出版信息

Curr Oncol. 2024 Dec 28;32(1):16. doi: 10.3390/curroncol32010016.

DOI:10.3390/curroncol32010016
PMID:39851932
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11763554/
Abstract

Glioblastoma (GBM) is a primary central nervous system malignancy with a median survival of 15-20 months. The presence of both intra- and intertumoral heterogeneity limits understanding of biological mechanisms leading to tumor resistance, including immune escape. An attractive field of research to examine treatment resistance are immune signatures composed of cluster of differentiation (CD) markers and cytokines. CD markers are surface markers expressed on various cells throughout the body, often associated with immune cells. Cytokines are the effector molecules of the immune system. Together, CD markers and cytokines can serve as useful biomarkers to reflect immune status in patients with GBM. However, there are gaps in the understanding of the intricate interactions between GBM and the peripheral immune system and how these interactions change with standard and immune-modulating treatments. The key to understanding the true nature of these interactions is through multi-omic analysis of tumor progression and treatment response. This review aims to identify potential non-invasive blood-based biomarkers that can contribute to an immune signature through multi-omic approaches, leading to a better understanding of immune involvement in GBM.

摘要

胶质母细胞瘤(GBM)是一种原发性中枢神经系统恶性肿瘤,中位生存期为15至20个月。肿瘤内和肿瘤间异质性的存在限制了对导致肿瘤耐药(包括免疫逃逸)的生物学机制的理解。一个有吸引力的研究领域是由分化簇(CD)标志物和细胞因子组成的免疫特征,用于研究治疗耐药性。CD标志物是全身各种细胞上表达的表面标志物,通常与免疫细胞相关。细胞因子是免疫系统的效应分子。CD标志物和细胞因子共同可作为有用的生物标志物,以反映GBM患者的免疫状态。然而,对于GBM与外周免疫系统之间复杂的相互作用以及这些相互作用如何随标准治疗和免疫调节治疗而变化,我们的了解还存在空白。理解这些相互作用的真正本质的关键在于对肿瘤进展和治疗反应进行多组学分析。本综述旨在确定潜在的基于血液的非侵入性生物标志物,这些标志物可通过多组学方法有助于形成免疫特征,从而更好地理解免疫在GBM中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/c9ef6f1421a6/curroncol-32-00016-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/3b2f57af577d/curroncol-32-00016-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/f9c957da0e68/curroncol-32-00016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/4423ad8865ba/curroncol-32-00016-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/6fa77c24d60c/curroncol-32-00016-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/dba1ec38a500/curroncol-32-00016-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/fc41b3ca159c/curroncol-32-00016-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/c9ef6f1421a6/curroncol-32-00016-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/3b2f57af577d/curroncol-32-00016-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/f9c957da0e68/curroncol-32-00016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/4423ad8865ba/curroncol-32-00016-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/6fa77c24d60c/curroncol-32-00016-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/dba1ec38a500/curroncol-32-00016-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/fc41b3ca159c/curroncol-32-00016-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae68/11763554/c9ef6f1421a6/curroncol-32-00016-g007.jpg

相似文献

1
Understanding the Immune System and Biospecimen-Based Response in Glioblastoma: A Practical Guide to Utilizing Signal Redundancy for Biomarker and Immune Signature Discovery.了解胶质母细胞瘤中的免疫系统和基于生物样本的反应:利用信号冗余进行生物标志物和免疫特征发现的实用指南。
Curr Oncol. 2024 Dec 28;32(1):16. doi: 10.3390/curroncol32010016.
2
Systematic identification, development, and validation of prognostic biomarkers involving the tumor-immune microenvironment for glioblastoma.系统识别、开发和验证涉及胶质母细胞瘤肿瘤免疫微环境的预后生物标志物。
J Cell Physiol. 2021 Jan;236(1):507-522. doi: 10.1002/jcp.29878. Epub 2020 Jun 22.
3
GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.GLIO-Select:基于机器学习的胶质母细胞瘤组织和血清蛋白质组学及代谢组学数据特征选择与加权揭示性别差异
Int J Mol Sci. 2025 May 2;26(9):4339. doi: 10.3390/ijms26094339.
4
Identification of Immune-Related lncRNA Prognostic Signature and Molecular Subtypes for Glioblastoma.鉴定免疫相关长链非编码 RNA 预后特征和胶质母细胞瘤的分子亚型
Front Immunol. 2021 Nov 25;12:706936. doi: 10.3389/fimmu.2021.706936. eCollection 2021.
5
Nanoparticle-based drug delivery systems to modulate tumor immune response for glioblastoma treatment.基于纳米颗粒的药物递送系统,用于调节肿瘤免疫反应以治疗胶质母细胞瘤。
Acta Biomater. 2025 Mar 1;194:38-57. doi: 10.1016/j.actbio.2025.01.050. Epub 2025 Jan 29.
6
Molecular Crosstalk between T Cells and Tumor Uncovers GBM-Specific T Cell Signatures in Blood: Noninvasive GBM Diagnosis Using Immunosensors.T 细胞与肿瘤之间的分子串扰揭示了血液中 GBM 的特异性 T 细胞特征:使用免疫传感器进行非侵入性 GBM 诊断。
ACS Nano. 2022 Sep 27;16(9):14134-14148. doi: 10.1021/acsnano.2c04160. Epub 2022 Aug 30.
7
Single-Cell Atlas Reveals Complexity of the Immunosuppressive Microenvironment of Initial and Recurrent Glioblastoma.单细胞图谱揭示初始和复发性脑胶质瘤免疫抑制微环境的复杂性。
Front Immunol. 2020 May 7;11:835. doi: 10.3389/fimmu.2020.00835. eCollection 2020.
8
Circulating Liquid Biopsy Biomarkers in Glioblastoma: Advances and Challenges.循环液体活检生物标志物在胶质母细胞瘤中的应用:进展与挑战。
Int J Mol Sci. 2024 Jul 21;25(14):7974. doi: 10.3390/ijms25147974.
9
Randomized Phase II and Biomarker Study of Pembrolizumab plus Bevacizumab versus Pembrolizumab Alone for Patients with Recurrent Glioblastoma.帕博利珠单抗联合贝伐珠单抗对比帕博利珠单抗单药治疗复发性胶质母细胞瘤的随机 II 期及生物标志物研究。
Clin Cancer Res. 2021 Feb 15;27(4):1048-1057. doi: 10.1158/1078-0432.CCR-20-2500. Epub 2020 Nov 16.
10
Explicating the Pivotal Pathogenic, Diagnostic, and Therapeutic Biomarker Potentials of Myeloid-Derived Suppressor Cells in Glioblastoma.解析髓源性抑制细胞在胶质母细胞瘤中的关键致病、诊断和治疗生物标志物潜力。
Dis Markers. 2020 Nov 4;2020:8844313. doi: 10.1155/2020/8844313. eCollection 2020.

引用本文的文献

1
Immune intrinsic escape signature stratifies prognosis, characterizes the tumor immune microenvironment, and identifies tumorigenic PPP1R8 in glioblastoma multiforme patients.免疫内在逃逸特征可对多形性胶质母细胞瘤患者的预后进行分层,描绘肿瘤免疫微环境,并鉴定致瘤性PPP1R8。
Front Immunol. 2025 Aug 6;16:1577920. doi: 10.3389/fimmu.2025.1577920. eCollection 2025.

本文引用的文献

1
Alterations in intratumoral and peripheral immune status in recurrent gliomas and their prognostic implications for patients underwent reoperation.复发性脑胶质瘤患者再次手术时肿瘤内和外周免疫状态的改变及其对患者预后的影响。
Int Immunopharmacol. 2024 Oct 25;140:112797. doi: 10.1016/j.intimp.2024.112797. Epub 2024 Jul 30.
2
Circulating Liquid Biopsy Biomarkers in Glioblastoma: Advances and Challenges.循环液体活检生物标志物在胶质母细胞瘤中的应用:进展与挑战。
Int J Mol Sci. 2024 Jul 21;25(14):7974. doi: 10.3390/ijms25147974.
3
Diagnosing Progression in Glioblastoma-Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in Glioblastoma.
胶质母细胞瘤进展的诊断——利用人工智能从磁共振成像随时间的体积变化来解决神经肿瘤学问题,以检查胶质母细胞瘤的无进展生存期
Diagnostics (Basel). 2024 Jun 28;14(13):1374. doi: 10.3390/diagnostics14131374.
4
Understanding glioblastoma at the single-cell level: Recent advances and future challenges.在单细胞水平上理解胶质母细胞瘤:最新进展与未来挑战。
PLoS Biol. 2024 May 30;22(5):e3002640. doi: 10.1371/journal.pbio.3002640. eCollection 2024 May.
5
Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies.胶质母细胞瘤免疫治疗的放射基因组学生物标志物:磁共振成像研究的系统评价
Neurooncol Adv. 2024 Apr 5;6(1):vdae055. doi: 10.1093/noajnl/vdae055. eCollection 2024 Jan-Dec.
6
Immunotherapeutic Strategies for the Treatment of Glioblastoma: Current Challenges and Future Perspectives.胶质母细胞瘤治疗的免疫治疗策略:当前挑战与未来展望
Cancers (Basel). 2024 Mar 25;16(7):1276. doi: 10.3390/cancers16071276.
7
The need for paradigm shift: prognostic significance and implications of standard therapy-related systemic immunosuppression in glioblastoma for immunotherapy and oncolytic virotherapy.范式转变的必要性:标准治疗相关全身免疫抑制在胶质母细胞瘤中对免疫治疗和溶瘤病毒治疗的预后意义和影响。
Front Immunol. 2024 Feb 8;15:1326757. doi: 10.3389/fimmu.2024.1326757. eCollection 2024.
8
Proteometabolomics of initial and recurrent glioblastoma highlights an increased immune cell signature with altered lipid metabolism.原发性和复发性胶质母细胞瘤的蛋白质组代谢组学研究突出了具有改变的脂质代谢的增加的免疫细胞特征。
Neuro Oncol. 2024 Mar 4;26(3):488-502. doi: 10.1093/neuonc/noad208.
9
Nucleotide metabolism in the regulation of tumor microenvironment and immune cell function.核苷酸代谢在肿瘤微环境和免疫细胞功能调节中的作用。
Curr Opin Biotechnol. 2023 Dec;84:103008. doi: 10.1016/j.copbio.2023.103008. Epub 2023 Oct 18.
10
Evaluating hematologic parameters in newly diagnosed and recurrent glioblastoma: Prognostic utility and clinical trial implications of myelosuppression.评估新诊断和复发性胶质母细胞瘤的血液学参数:骨髓抑制的预后效用及对临床试验的意义
Neurooncol Adv. 2023 Jul 8;5(1):vdad083. doi: 10.1093/noajnl/vdad083. eCollection 2023 Jan-Dec.