ArticleCell reports2026
A human tumor-immune organoid model of glioblastoma.
Article in Cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Immunoids: Building immunocompetent organoids from human pluripotent stem cells.Cell stem cell · 2026Review
- Organoids-on-a-Chip: An Integrating New Technology for Drug Development.International journal of molecular sciences · 2026Review
- Review
- Construction Strategies, Microenvironmental Modelling and Precision-Therapy Applications of Glioma Organoid Models.Cancers · 2026Review
- Organoids as brain tumour models: bridging the translational gap.Disease models & mechanisms · 2026Review
- Development and application of organoid technology in pituitary neuroendocrine tumor research.The Journal of international medical research · 2026Review
- Patient cerebral organoids capture Alzheimer's disease proteomic biomarkers and drug targets.bioRxiv : the preprint server for biology · 2026Article
- Human cerebral organoids with microglia and vasculature model glioma stem cell interactions and radiotherapy response.Cell reports methods · 2026Article
- Organoids as next-generation models for investigating intracranial tumours.Molecular brain · 2026Review
- Organoids to Model Tumor Microenvironment in Progression of Pathogenesis and Treatment Resistance in Glioblastoma Multiforme.Brain sciences · 2026Review
- Glutamatergic neuron-tumor synapses shape human glioblastoma cell states through radial glia plasticity.bioRxiv : the preprint server for biology · 2026Article
- Review
- Human organoid tumor transplantation identifies functional glioblastoma-microenvironment communication mediated by PTPRZ1.Cell reports · 2026Article
- Organoid models: reshaping the paradigm for precision development and evaluation of CAR-T cell therapies.Frontiers in bioengineering and biotechnology · 2026Review
- The neuro-immune-vascular landscape of lung cancer brain metastasis: insights from organoid models.Frontiers in immunology · 2026Review
- Modeling gliomas with organoids: reconstructing the human neural microenvironment for translational neuro-oncology.Frontiers in oncology · 2026Review
- Patient-derived organoids in gastric cancer: bridging the tumor microenvironment to functional precision oncology.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
A major obstacle to identifying effective therapies for the aggressive brain tumor glioblastoma is the lack of human-specific, immunocompetent models that reflect the human tumor microenvironment. To address this, we developed the immune-human organoid tumor transplantation (iHOTT) model, an autologous co-culture platform that integrates patient-derived tumor cells and matched peripheral blood mononuclear cells within human cortical organoids to enable the study of patient-specific immune responses and tumor-immune interactions. This platform preserves tumor and immune populations, immune signaling, and cell-cell interactions observed in patient tumors. Treatment of iHOTT with pembrolizumab, a checkpoint inhibitor, mirrors cell-type shifts and cell-cell interactions observed in patients. T cell receptor (TCR) sequencing further reveals pembrolizumab-driven expansion of stem-like CD4 T cell clonotypes exhibiting patient-specific repertoires. These findings establish iHOTT as a physiologically relevant platform for exploring autologous tumor-immune interactions and underscore the need for antigen-targeted strategies to enhance immunotherapy in glioblastoma.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.