Extracellular Vesicles From Glioblastoma Cells Reflect 2D vs. 3D Culture Adaptation and Resistance to Temozolomide.

IF 6.3 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2026-07-01 Epub Date: 2026-06-24 DOI:10.1016/j.mcpro.2026.101610
Getulio Pereira de Oliveira, Alan Zimmerman, Cintia C Palu, Vivian Tran, Gabrielle Bogut, Stephanie Chidester, John Tigges, Rafael A Vega, Elena Aikawa, Jennifer Jones, Ionita C Ghiran, Alexander R Ivanov
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引用次数: 0

Abstract

Glioblastoma (GBM) is an aggressive brain tumor marked by extensive heterogeneity, resistance to therapy, and dismal prognosis. Extracellular vesicles (EVs) have emerged as key players in GBM biology, mediating intercellular communication and therapy adaptation. However, the exact functions and molecular impact of EVs in GBM remain incompletely understood. In this study, we performed a comparative proteomic analysis of U87MG GBM cells grown in two-dimensional (2D) monolayers and three-dimensional (3D) spheroids following temozolomide (TMZ) treatment, alongside characterization of EVs derived from both culture systems. 3D-spheroids secreted more EVs of smaller size and exhibited a more TMZ-resistant, stem-like proteome under TMZ-induced genotoxic stress. In contrast, 2D cell cultures demonstrated greater proteome remodeling, with EVs enriched in protein families involved in DNA repair, oxidative stress adaptation, and methylation processes. Notably, several methyltransferases were decreased intracellularly but selectively retained in EVs, suggesting active sorting to influence the tumor microenvironment or modulate epigenetic states in recipient cells. EVs also carried adhesion molecules and signaling proteins linked to migration, invasion, and Wnt pathway activation, as well as metabolic enzymes connecting serine metabolism and redox control to TMZ resistance. Mapping EV and cellular proteomes onto The Cancer Genome Atlas (TCGA) dataset identified prognostic protein families associated with either poor or favorable patient outcomes. Our data demonstrate that EV cargo composition mirrors TMZ-induced phenotypic adaptation and reveals molecular mechanisms underlying therapeutic resistance. These EV-associated signatures may serve as clinically actionable biomarkers for patient stratification and offer potential targets to overcome chemoresistance in GBM.

胶质母细胞瘤细胞的细胞外囊泡反映2D vs 3D培养适应和对替莫唑胺的抗性。
胶质母细胞瘤(GBM)是一种侵袭性脑肿瘤,其特点是广泛的异质性、对治疗的耐药性和预后差。细胞外囊泡(EVs)在GBM生物学中起着关键作用,介导细胞间通讯和治疗适应。然而,ev在GBM中的确切功能和分子影响尚不完全清楚。在这项研究中,我们对替莫唑胺(TMZ)处理后生长在二维(2D)单层和三维(3D)球体中的U87MG GBM细胞进行了比较蛋白质组学分析,并对来自两种培养体系的ev进行了表征。在tmz诱导的基因毒性胁迫下,3d球体分泌更多较小尺寸的ev,并表现出更强的tmz抗性,茎样蛋白质组。相比之下,2D细胞培养显示出更大的蛋白质组重塑,ev富含参与DNA修复、氧化应激适应和甲基化过程的蛋白质家族。值得注意的是,一些甲基转移酶在细胞内减少,但在ev中选择性保留,表明主动分选影响肿瘤微环境或调节受体细胞的表观遗传状态。电动汽车还携带粘附分子和与迁移、侵袭和Wnt通路激活相关的信号蛋白,以及将丝氨酸代谢和氧化还原控制与TMZ抗性联系起来的代谢酶。将EV和细胞蛋白质组绘制到癌症基因组图谱(TCGA)数据集上,确定了与患者预后不良或良好相关的预后蛋白家族。我们的数据表明,EV货物组成反映了tmz诱导的表型适应,并揭示了治疗抗性的分子机制。这些ev相关特征可以作为临床可操作的患者分层生物标志物,并提供克服GBM化疗耐药的潜在靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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