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A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity
- Source :
- Cell. 180:188-204.e22
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Summary Glioblastomas exhibit vast inter- and intra-tumoral heterogeneity, complicating the development of effective therapeutic strategies. Current in vitro models are limited in preserving the cellular and mutational diversity of parental tumors and require a prolonged generation time. Here, we report methods for generating and biobanking patient-derived glioblastoma organoids (GBOs) that recapitulate the histological features, cellular diversity, gene expression, and mutational profiles of their corresponding parental tumors. GBOs can be generated quickly with high reliability and exhibit rapid, aggressive infiltration when transplanted into adult rodent brains. We further demonstrate the utility of GBOs to test personalized therapies by correlating GBO mutational profiles with responses to specific drugs and by modeling chimeric antigen receptor T cell immunotherapy. Our studies show that GBOs maintain many key features of glioblastomas and can be rapidly deployed to investigate patient-specific treatment strategies. Additionally, our live biobank establishes a rich resource for basic and translational glioblastoma research.
- Subjects :
- Adult
Male
medicine.medical_treatment
Cell Culture Techniques
Mice, Nude
Biology
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Mice
03 medical and health sciences
0302 clinical medicine
medicine
Organoid
Animals
Humans
Aged
Biological Specimen Banks
030304 developmental biology
Aged, 80 and over
0303 health sciences
Translational bioinformatics
Reproducibility of Results
Immunotherapy
Middle Aged
medicine.disease
Key features
Xenograft Model Antitumor Assays
Biobank
Chimeric antigen receptor
Organoids
Cancer research
Treatment strategy
Female
Glioblastoma
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 00928674
- Volume :
- 180
- Database :
- OpenAIRE
- Journal :
- Cell
- Accession number :
- edsair.doi.dedup.....af65913a28e1070236db1cc427b286ef
- Full Text :
- https://doi.org/10.1016/j.cell.2019.11.036