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Generation of Tumor Organoids from Genetically Engineered Mouse Models of Prostate Cancer
Published on: June 13, 2019
Genetically engineered cerebral organoids model brain tumor formation.
Shan Bian1, Marko Repic1,2, Zhenming Guo1,3
1Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna, Austria.
Researchers developed a novel 3D neoplastic cerebral organoid (neoCOR) model to study brain tumors. This advanced model recapitulates brain tumorigenesis and aids in understanding tumor biology and testing drug efficacy for brain cancer.
Area of Science:
- Neuro-oncology
- Cancer Biology
- 3D Organoid Models
Background:
- Brain tumors are highly lethal cancers with limited study models due to genetic heterogeneity.
- Current laboratory models do not fully capture the complexity of brain tumorigenesis.
- Three-dimensional (3D) organoid culture offers a promising avenue for disease modeling.
Purpose of the Study:
- To establish a novel 3D in vitro model for studying brain tumorigenesis.
- To create a neoplastic cerebral organoid (neoCOR) model recapitulating human brain tumor development.
- To investigate the utility of neoCORs in understanding tumor biology and evaluating therapeutic interventions.
Main Methods:
- Development of neoplastic cerebral organoids (neoCORs) using cerebral organoids.
- Introduction of oncogenic mutations via transposon- and CRISPR-Cas9-mediated mutagenesis.
- Screening of clinically relevant mutations from cancer genome projects to define tumorigenic combinations.
Main Results:
- Successfully established neoCORs that recapitulate brain tumorigenesis.
- Defined specific mutation combinations inducing glioblastoma-like and CNS-PNET-like neoplasms.
- Demonstrated neoCOR suitability for studying tumor invasiveness and drug effects linked to DNA aberrations.
Conclusions:
- NeoCORs provide a valuable 3D in vitro model for brain tumor research.
- This model complements existing basic and preclinical models for studying brain tumor biology.
- NeoCORs facilitate investigations into tumor invasiveness and drug screening for specific genetic alterations.
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