• 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

胶质母细胞瘤蛋白质组的空间分析揭示了特定的分子特征和生存标志物。

Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival.

机构信息

Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), F-59000, Lille, France.

Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.

出版信息

Nat Commun. 2022 Nov 4;13(1):6665. doi: 10.1038/s41467-022-34208-6.

DOI:10.1038/s41467-022-34208-6
PMID:36333286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9636229/
Abstract

Molecular heterogeneity is a key feature of glioblastoma that impedes patient stratification and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 glioblastoma patients with survival ranging from a few months to over 4 years. 46 tumors are analyzed by mass spectrometry-based spatially-resolved proteomics guided by mass spectrometry imaging. Integration of protein expression and clinical information highlights three molecular groups associated with immune, neurogenesis, and tumorigenesis signatures with high intra-tumoral heterogeneity. Furthermore, a set of proteins originating from reference and alternative ORFs is found to be statistically significant based on patient survival times. Among these proteins, a 5-protein signature is associated with survival. The expression of these 5 proteins is validated by immunofluorescence on an additional cohort of 50 patients. Overall, our work characterizes distinct molecular regions within glioblastoma tissues based on protein expression, which may help guide glioblastoma prognosis and improve current glioblastoma classification.

摘要

分子异质性是胶质母细胞瘤的一个关键特征,它阻碍了患者的分层,导致平均患者生存时间存在很大差异。在这里,我们分析了一组 96 名胶质母细胞瘤患者,他们的生存时间从几个月到 4 年以上不等。46 个肿瘤通过基于质谱成像的质谱为基础的空间分辨蛋白质组学进行分析。蛋白质表达和临床信息的整合突出了与免疫、神经发生和肿瘤发生特征相关的三个分子群,具有高度的肿瘤内异质性。此外,基于患者的生存时间,发现了一组源自参考和替代 ORFs 的蛋白质在统计学上是显著的。在这些蛋白质中,有一个 5 蛋白质特征与生存相关。这 5 种蛋白质的表达在另外 50 名患者的免疫荧光上得到了验证。总的来说,我们的工作根据蛋白质表达对胶质母细胞瘤组织中的不同分子区域进行了特征描述,这可能有助于指导胶质母细胞瘤的预后,并改善目前的胶质母细胞瘤分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/6c0f78accd9b/41467_2022_34208_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/7ce47e547c50/41467_2022_34208_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/b2d7a7d32831/41467_2022_34208_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/282a85e93d02/41467_2022_34208_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/b00c29ff1413/41467_2022_34208_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/6c0f78accd9b/41467_2022_34208_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/7ce47e547c50/41467_2022_34208_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/b2d7a7d32831/41467_2022_34208_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/282a85e93d02/41467_2022_34208_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/b00c29ff1413/41467_2022_34208_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/9636229/6c0f78accd9b/41467_2022_34208_Fig5_HTML.jpg

相似文献

1
Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival.胶质母细胞瘤蛋白质组的空间分析揭示了特定的分子特征和生存标志物。
Nat Commun. 2022 Nov 4;13(1):6665. doi: 10.1038/s41467-022-34208-6.
2
Comprehensive analysis of Reverse Phase Protein Array data reveals characteristic unique proteomic signatures for glioblastoma subtypes.全面分析反相蛋白阵列数据揭示胶质母细胞瘤亚型的特征性独特蛋白质组学特征。
Gene. 2019 Feb 15;685:85-95. doi: 10.1016/j.gene.2018.10.069. Epub 2018 Oct 25.
3
Proteogenomics of glioblastoma associates molecular patterns with survival.胶质母细胞瘤的蛋白质基因组学将分子模式与生存情况相关联。
Cell Rep. 2021 Mar 2;34(9):108787. doi: 10.1016/j.celrep.2021.108787.
4
Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature.RNA-Seq 和蛋白质组学数据的整合确定了多形性胶质母细胞瘤的表面组特征。
BMC Cancer. 2021 Jul 23;21(1):850. doi: 10.1186/s12885-021-08591-0.
5
Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity.脑胶质瘤蛋白质组的地形测绘揭示了肿瘤内异质性的三轴模型。
Nat Commun. 2022 Jan 10;13(1):116. doi: 10.1038/s41467-021-27667-w.
6
Towards developing biomarkers for glioblastoma multiforme: a proteomics view.迈向多形性胶质母细胞瘤生物标志物的开发:蛋白质组学视角
Expert Rev Proteomics. 2014 Oct;11(5):621-39. doi: 10.1586/14789450.2014.939634. Epub 2014 Aug 13.
7
Pediatric Brain Tumors: Signatures from the Intact Proteome.小儿脑肿瘤:完整蛋白质组的特征。
Int J Mol Sci. 2022 Mar 16;23(6):3196. doi: 10.3390/ijms23063196.
8
Comprehensive proteome profiling of glioblastoma-derived extracellular vesicles identifies markers for more aggressive disease.胶质母细胞瘤衍生的细胞外囊泡的综合蛋白质组分析确定了侵袭性更强疾病的标志物。
J Neurooncol. 2017 Jan;131(2):233-244. doi: 10.1007/s11060-016-2298-3. Epub 2016 Oct 21.
9
Quantitative proteomics reveals the novel co-expression signatures in early brain development for prognosis of glioblastoma multiforme.定量蛋白质组学揭示了早期脑发育中多形性胶质母细胞瘤预后的新型共表达特征。
Oncotarget. 2016 Mar 22;7(12):14161-71. doi: 10.18632/oncotarget.7416.
10
The intra-tumoral heterogeneity in glioblastoma - a limitation for prognostic value of epigenetic markers?胶质母细胞瘤中的肿瘤内异质性 - 表观遗传标记物预后价值的局限性?
Acta Neurochir (Wien). 2023 Jun;165(6):1635-1644. doi: 10.1007/s00701-023-05594-7. Epub 2023 Apr 21.

引用本文的文献

1
The evolution of analytical techniques for multiplex analysis of protein biomarkers.用于蛋白质生物标志物多重分析的分析技术的演变
Expert Rev Proteomics. 2025 Jul;22(7):255-272. doi: 10.1080/14789450.2025.2529185. Epub 2025 Jul 10.
2
Quantitative Proteomic Analysis Reveals Different Functional Subtypes among -Wildtype Glioblastoma.定量蛋白质组学分析揭示野生型胶质母细胞瘤中的不同功能亚型。
J Proteome Res. 2025 Jul 4;24(7):3610-3624. doi: 10.1021/acs.jproteome.5c00199. Epub 2025 Jun 15.
3
Immune cell infiltration into brain tumor microenvironment is mediated by Rab27-regulated vascular wall integrity.

本文引用的文献

1
Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity.脑胶质瘤蛋白质组的地形测绘揭示了肿瘤内异质性的三轴模型。
Nat Commun. 2022 Jan 10;13(1):116. doi: 10.1038/s41467-021-27667-w.
2
Unveiling a Ghost Proteome in the Glioblastoma Non-Coding RNAs.揭示胶质母细胞瘤非编码RNA中的幽灵蛋白质组。
Front Cell Dev Biol. 2021 Dec 23;9:703583. doi: 10.3389/fcell.2021.703583. eCollection 2021.
3
CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014-2018.
免疫细胞浸润至脑肿瘤微环境是由Rab27调节的血管壁完整性介导的。
Sci Adv. 2025 May 23;11(21):eadr6940. doi: 10.1126/sciadv.adr6940.
4
Innovative Therapeutic Strategies Targeting the Network Architecture of Glioblastoma.针对胶质母细胞瘤网络结构的创新治疗策略
Clin Cancer Res. 2025 Jul 15;31(14):2864-2871. doi: 10.1158/1078-0432.CCR-25-0018.
5
Spatial mapping of the brain metabolome lipidome and glycome.大脑代谢组、脂质组和糖组的空间图谱。
Nat Commun. 2025 May 12;16(1):4373. doi: 10.1038/s41467-025-59487-7.
6
Integrating Rapid Evaporative Ionization Mass Spectrometry Classification with Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry to Unveil Glioblastoma Overall Survival Prediction.将快速蒸发电离质谱分类与基质辅助激光解吸电离质谱成像及液相色谱-串联质谱相结合以揭示胶质母细胞瘤的总生存预测
ACS Chem Neurosci. 2025 Mar 19;16(6):1021-1033. doi: 10.1021/acschemneuro.4c00463. Epub 2025 Feb 25.
7
Predicting Protein Pathways Associated to Tumor Heterogeneity by Correlating Spatial Lipidomics and Proteomics: The Dry Proteomic Concept.通过关联空间脂质组学和蛋白质组学预测与肿瘤异质性相关的蛋白质通路:干蛋白质组学概念
Mol Cell Proteomics. 2025 Jan;24(1):100891. doi: 10.1016/j.mcpro.2024.100891. Epub 2024 Dec 5.
8
A method for in silico exploration of potential glioblastoma multiforme attractors using single-cell RNA sequencing.使用单细胞 RNA 测序进行脑胶质母细胞瘤多形性潜在吸引子的计算机模拟探索方法。
Sci Rep. 2024 Oct 29;14(1):26003. doi: 10.1038/s41598-024-74985-2.
9
Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases.空间蛋白质组学:揭示人类疾病中蛋白质定位的多维图景。
Proteome Sci. 2024 Sep 20;22(1):7. doi: 10.1186/s12953-024-00231-2.
10
Deciphering breast cancer dynamics: insights from single-cell and spatial profiling in the multi-omics era.解析乳腺癌动态:多组学时代单细胞和空间分析的见解
Biomark Res. 2024 Sep 18;12(1):107. doi: 10.1186/s40364-024-00654-1.
美国 2014-2018 年诊断的原发性脑和其他中枢神经系统肿瘤 CBTRUS 统计报告。
Neuro Oncol. 2021 Oct 5;23(12 Suppl 2):iii1-iii105. doi: 10.1093/neuonc/noab200.
4
The 2021 WHO Classification of Tumors of the Central Nervous System: a summary.2021 年世卫组织中枢神经系统肿瘤分类:概述。
Neuro Oncol. 2021 Aug 2;23(8):1231-1251. doi: 10.1093/neuonc/noab106.
5
Proteogenomics of glioblastoma associates molecular patterns with survival.胶质母细胞瘤的蛋白质基因组学将分子模式与生存情况相关联。
Cell Rep. 2021 Mar 2;34(9):108787. doi: 10.1016/j.celrep.2021.108787.
6
Proteogenomic and metabolomic characterization of human glioblastoma.人类脑胶质瘤的蛋白质基因组学和代谢组学特征分析。
Cancer Cell. 2021 Apr 12;39(4):509-528.e20. doi: 10.1016/j.ccell.2021.01.006. Epub 2021 Feb 11.
7
EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood.EANO 成人弥漫性胶质瘤诊断与治疗指南。
Nat Rev Clin Oncol. 2021 Mar;18(3):170-186. doi: 10.1038/s41571-020-00447-z. Epub 2020 Dec 8.
8
Shedding Light on the Ghost Proteome.揭示幽灵蛋白质组的奥秘。
Trends Biochem Sci. 2021 Mar;46(3):239-250. doi: 10.1016/j.tibs.2020.10.003. Epub 2020 Nov 24.
9
OpenProt 2021: deeper functional annotation of the coding potential of eukaryotic genomes.OpenProt 2021:深入注释真核生物基因组的编码潜能。
Nucleic Acids Res. 2021 Jan 8;49(D1):D380-D388. doi: 10.1093/nar/gkaa1036.
10
Reference and Ghost Proteins Identification in Rat C6 Glioma Extracellular Vesicles.大鼠C6胶质瘤细胞外囊泡中参考蛋白和“幽灵”蛋白的鉴定
iScience. 2020 May 22;23(5):101045. doi: 10.1016/j.isci.2020.101045. Epub 2020 Apr 10.