胶质母细胞瘤（GBM）
别名: GBM · glioblastoma multiforme
文献库中细胞状态、图谱、扰动与数字孪生条目所涉及的主要肿瘤类型；GBmap 覆盖 IDH 野生型 GBM。 VC0059 VC0060 VC0069 VC0070
待审阅 版本 0.1.0 · 状态：初稿 · 最近专家审阅：尚未审阅
外部标识符
- MONDO
- MONDO:0018177
标识符已对照公共数据库（HGNC、UniProt、经 EBI OLS 的 MONDO、NCBI GEO）核对，仅在确定时列出。
关系
| 主语 | 关系 | 宾语 | 置信度 | 证据（角色） |
|---|---|---|---|---|
| 胶质祖细胞样细胞 | 相关 | 胶质母细胞瘤 | 高 | VC0068 支持 该层级与 Neftel 的 NPC 样/OPC 样状态如何对应，文献库中尚无定论。 |
| GBmap | 相关 | 胶质母细胞瘤 | 高 | VC0060 数据集 来源: 胶质母细胞瘤单细胞与空间数据集 |
| 患者来源 GBM 类器官生物库 | 相关 | 胶质母细胞瘤 | 高 | VC0067 数据集 来源: 胶质母细胞瘤单细胞与空间数据集 |
| scFOCAL / ISOSCELES | 相关 | 胶质母细胞瘤 | 高 | VC0132 支持 |
| Perturb-seq | 扰动 | 胶质母细胞瘤 | 高 | VC0070 支持 小鼠 GBM 模型中的体内 Perturb-seq；结论未必适用于人类肿瘤。 |
| 缺氧 | 相关 | 胶质母细胞瘤 | 中 | VC0060 支持 VC0094 支持 缺氧依赖的生态位与不良预后相关（GBmap）；缺氧协调髓系细胞的空间分布。 来源: 胶质母细胞瘤单细胞与空间数据集 |
出现在研究专题中
- 胶质母细胞瘤间充质样（MES 样）细胞状态 (细胞状态)
- 神经前体样（NPC 样）与少突前体样（OPC 样）胶质瘤细胞状态 (细胞状态)
- 胶质母细胞瘤单细胞与空间数据集 (数据集)
- AI 虚拟细胞模型 (模型)
- 胶质母细胞瘤扰动数据：放疗、药物与 CRISPR (扰动)
- 胶质母细胞瘤的治疗诱导可塑性 (状态转变)
- Neftel 式 GBM 状态判定能否跨平台复现？GlioState 再分析（初稿） (验证)
出现在文献库条目中（22）
标题、标签或一句话摘要与该实体匹配的条目（由数据自动得出），以及用作描述证据的条目。
- VC0096 Core2Edge: a human glioblastoma organoid-brain slice model capturing infiltration and transcriptional heterogeneity from core to single-cell dispersion. — Melhem A et al., Nature protocols, 2026
- VC0097 Automated and personalized glioblastoma tumor organoid drug screening platform exposes sensitivity to proteasome and HDAC inhibitors. — Jungwirth G et al., NPJ precision oncology, 2026
- VC0071 · 预印本 A Proteome-Calibrated Mechanistic Digital Twin of the Glioblastoma Astrocyte Derived from Patient Multi-Omic Data — Mayfield JD., bioRxiv, 2026
- VC0133 Anatomically aware simulation of patient-specific glioblastoma xenografts — Malik et al., PLoS Comput Biol, 2026
- VC0132 Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations — Suter et al., Nature Communications, 2026
- VC0095 BRD2 bromodomain-mediated regulation of cell state plasticity modulates therapy response in glioblastoma. — Vadla R et al., Neuro-oncology, 2025
- VC0060 Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap. — Ruiz-Moreno C et al., Neuro-oncology, 2025
- VC0129 · 预印本 DELPHAI, AI Agent for Predicting Drug Response and Resistance — Peng et al., preprint, 2025
- VC0073 Multiscale mathematical model-informed reinforcement learning optimizes combination treatment scheduling in glioblastoma evolution. — Liu Z, Zhang J, Hong L, Nie Q, Sun X., Science advances, 2025
- VC0066 Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma. — Hara T et al., Cancer cell, 2025
- VC0093 · 预印本 Spatial epigenomic niches underlie glioblastoma cell state plasticity — Kint S et al., bioRxiv, 2025
- VC0092 · 预印本 Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions — Khan SM et al., bioRxiv, 2025
- VC0072 A method for in silico exploration of potential glioblastoma multiforme attractors using single-cell RNA sequencing. — Vieira Junior MG, de Almeida Côrtes AM, Gonçalves Carneiro FR, Carels N, Silva FABD., Scientific reports, 2024
- VC0070 In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma. — Liu SJ et al., Genome biology, 2024
- VC0094 Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. — Haley MJ et al., Science advances, 2024
- VC0061 Integrative spatial analysis reveals a multi-layered organization of glioblastoma. — Greenwald AC et al., Cell, 2024
- VC0074 A simple agent-based hybrid model to simulate the biophysics of glioblastoma multiforme cells and the concomitant evolution of the oxygen field. — Saucedo-Mora L, Sanz MÁ, Montáns FJ, Benítez JM., Computer methods and programs in biomedicine, 2024
- VC0069 A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets. — Wang L, Jung J, Babikir H, Shamardani K, Jain S, Feng X, Gupta N, Rosi S, Chang S, Raleigh D, Solomon D, Phillips JJ, Diaz AA., Nature cancer, 2022
- VC0062 Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma. — Ravi VM et al., Cancer cell, 2022
- VC0068 Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. — Couturier CP et al., Nature communications, 2020
- VC0067 A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. — Jacob F et al., Cell, 2019
- VC0059 An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. — Neftel C et al., Cell, 2019
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