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单细胞/空间整合揭示了一种由免疫通讯和调控网络精心编排的类似MES2的胶质母细胞瘤程序。

Single-cell/spatial integration reveals an MES2-like glioblastoma program orchestrated by immune communication and regulatory networks.

作者信息

Zhang Chonghui, Tan Lu, Zheng Kaijian, Xu Yifan, Wan Junshan, Wu Jinpeng, Wang Chao, Guo Pin, Feng Yugong

机构信息

Department of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

Institute of Neuroscience & Jiangsu Key Laboratory of Neuropsychiatric Diseases, Soochow University, Suzhou, Jiangsu, China.

出版信息

Front Immunol. 2025 Oct 29;16:1699134. doi: 10.3389/fimmu.2025.1699134. eCollection 2025.

Abstract

BACKGROUND

Glioblastoma (GBM) exhibits marked plasticity and intense microenvironmental crosstalk. We aimed to delineate mesenchymal programs with spatial resolution, clinical relevance, and mechanistic anchors.

METHODS

We integrated single-cell RNA-seq, bulk transcriptomes, and Visium spatial data. After rigorous QC and Harmony integration, we annotated 12 cell states using canonical markers, decoupler-based ORA, and AUCell. Tumor boundaries were defined by inferCNV/CopyKAT; developmental potential by CytoTRACE2 and PHATE. Post-translational modification (PTM) axes were scored from curated gene sets. A cell type-aware GNN linked bulk expression to a patient-similarity graph for survival modeling and gene-level hazard attribution. Network convergence combined bulk WGCNA (TCGA/CGGA), single-cell hdWGCNA, BayesPrism deconvolution, and external GEO validation. Ligand-receptor (LR) signaling was inferred with LIANA+, embedded in a signed causal network, and mapped spatially. ARRDC3 expression was assessed in GBM tissues; U251 gain- and loss-of-function assays evaluated proliferation and migration.

RESULTS

We resolved major GBM states, including two mesenchymal programs (MES1-like, MES2-like). CNV-high regions marked malignant cores, and CytoTRACE2 identified high-potency niches within MES2-like and Proliferation states along non-linear trajectories. PTM landscapes segregated by state; S-nitrosylation, glycosylation, and lactylation were enriched in mesenchymal programs. A GNN risk score stratified overall survival in TCGA (n=157) and generalized to CGGA-325 (n=85) and CGGA-693 (n=140). MES2-like abundance remained an independent adverse predictor (HR = 2.31; 95% CI, 1.04-5.10). MES2-high tumors upregulated EMT, TNFα/NF-κB, JAK/STAT, hypoxia, angiogenesis, and glycolysis; S-nitrosylation associated with increased hazard. Cross-modal convergence defined a conservative MES2 core enriched for ECM remodeling, collagen modification, focal adhesion, and TGF-β regulation. LR analysis prioritized a TAM-to-MES2 axis (e.g., GRN-TNFRSF1A, ADAM9/10/17-ITGB1, TGFB1-ITGB1/EGFR) converging on a CEBPD-centered module. Spatial mapping localized MES2 hotspots within CNV-defined territories and revealed a TNFRSF1A-CEBPD-ARRDC3 focus at an infiltrative rim. ARRDC3 was upregulated in GBM tissues; in U251 cells, knockdown promoted and overexpression suppressed proliferation and migration, indicating context-dependent roles.

CONCLUSIONS

MES2-like GBM is an ECM-driven, stress-adapted state with strong prognostic impact. We nominate CEBPD and TNFRSF1A/ITGB1 as actionable nodes and identify ARRDC3 as a spatially restricted effector with context-dependent tumor-modulatory functions warranting therapeutic exploration.

摘要

背景

胶质母细胞瘤(GBM)表现出显著的可塑性和强烈的微环境相互作用。我们旨在以空间分辨率、临床相关性和机制锚点来描绘间充质程序。

方法

我们整合了单细胞RNA测序、批量转录组和Visium空间数据。经过严格的质量控制和Harmony整合后,我们使用经典标记、基于解耦器的ORA和AUCell对12种细胞状态进行了注释。通过inferCNV/CopyKAT定义肿瘤边界;通过CytoTRACE2和PHATE评估发育潜能。从精心策划的基因集中对翻译后修饰(PTM)轴进行评分。一种细胞类型感知的图神经网络将批量表达与患者相似性图相连,用于生存建模和基因水平的风险归因。网络收敛结合了批量加权基因共表达网络分析(WGCNA,来自TCGA/CGGA)、单细胞高密度WGCNA、贝叶斯棱镜反卷积和外部GEO验证。使用LIANA +推断配体 - 受体(LR)信号传导,将其嵌入有符号因果网络并进行空间映射。在GBM组织中评估ARRDC3的表达;通过U251细胞的功能获得和功能缺失实验评估增殖和迁移。

结果

我们解析了主要的GBM状态,包括两种间充质程序(MES1样、MES2样)。CNV高的区域标记为恶性核心,CytoTRACE2在MES2样和增殖状态内沿着非线性轨迹识别出高效能生态位。PTM景观按状态分离;S - 亚硝基化、糖基化和乳酸化在间充质程序中富集。图神经网络风险评分对TCGA(n = 157)中的总生存期进行分层,并推广到CGGA - 325(n = 85)和CGGA - 693(n = 140)。MES2样丰度仍然是一个独立的不良预测指标(风险比= 2.31;95%置信区间,1.04 - 5.10)。MES2高的肿瘤上调了上皮 - 间质转化(EMT)、肿瘤坏死因子α/核因子κB(TNFα/NF - κB)、JAK/信号转导和转录激活因子(JAK/STAT)、缺氧、血管生成和糖酵解;S - 亚硝基化与风险增加相关。跨模态收敛定义了一个保守的MES2核心,富含细胞外基质(ECM)重塑、胶原蛋白修饰、粘着斑和转化生长因子β(TGF - β)调节。LR分析确定了一个从肿瘤相关巨噬细胞(TAM)到MES2的轴(例如,GRN - TNFRSF1A、ADAM9/10/17 - ITGB1、TGFB1 - ITGB1/表皮生长因子受体(EGFR))汇聚在一个以CCAAT增强子结合蛋白δ(CEBPD)为中心的模块上。空间映射将MES2热点定位在CNV定义的区域内,并在浸润边缘发现了一个TNFRSF1A - CEBPD - ARRDC3焦点。ARRDC3在GBM组织中上调;在U251细胞中,敲低促进增殖和迁移,过表达则抑制增殖和迁移,表明其具有依赖于环境的作用。

结论

MES2样GBM是一种由ECM驱动、应激适应的状态,具有很强的预后影响。我们将CEBPD和TNFRSF1A/ITGB1指定为可操作节点,并确定ARRDC3是一种具有空间限制的效应器,其具有依赖于环境的肿瘤调节功能,值得进行治疗探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54da/12604987/6303ca9b7596/fimmu-16-1699134-g001.jpg

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