Glioblastoma (GBM)
Also known as: GBM · glioblastoma multiforme
Main tumor type covered by the library’s cell-state, atlas, perturbation and digital-twin items; GBmap covers IDH-wild-type GBM. VC0059 VC0060 VC0069 VC0070
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
External identifiers
- MONDO
- MONDO:0018177
Identifiers were checked against the public registry (HGNC, UniProt, MONDO via EBI OLS, NCBI GEO) and are listed only when certain.
Relations
| Subject | Relation | Object | Confidence | Evidence (role) |
|---|---|---|---|---|
| Glial-progenitor-like cells | associated with | Glioblastoma | high | VC0068 supports How this hierarchy maps onto Neftel NPC-like/OPC-like states is unresolved in the library. |
| GBmap | associated with | Glioblastoma | high | VC0060 dataset |
| Patient-derived GBM organoid biobank | associated with | Glioblastoma | high | VC0067 dataset |
| scFOCAL / ISOSCELES | associated with | Glioblastoma | high | VC0132 supports |
| Perturb-seq | perturbs | Glioblastoma | high | VC0070 supports In vivo Perturb-seq in mouse GBM models; may not transfer to human tumors. |
| Hypoxia | associated with | Glioblastoma | medium | VC0060 supports VC0094 supports Hypoxia-dependent niches are associated with poor prognosis (GBmap); hypoxia coordinates myeloid-cell spatial organisation. |
Appears in research topics
- Mesenchymal-like (MES-like) glioblastoma cell state (Cell states)
- Neural-progenitor-like (NPC-like) and OPC-like glioma cell states (Cell states)
- Glioblastoma single-cell and spatial datasets (Datasets)
- AI virtual cell models (Models)
- Perturbation data for glioblastoma: radiotherapy, drugs and CRISPR (Perturbations)
- Therapy-induced plasticity in glioblastoma (Transitions)
- Do Neftel-style GBM state calls replicate across platforms? A GlioState re-analysis (draft) (Validation)
Appears in library items (22)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- 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 · preprint 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 · preprint 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 · preprint Spatial epigenomic niches underlie glioblastoma cell state plasticity — Kint S et al., bioRxiv, 2025
- VC0092 · preprint 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
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.