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BIOL-19. DIFFUSE MIDLINE GLIOMA CEREBRAL ORGANOID MODEL AND MULTIOMICS CHARACTERIZATION

Diffuse midline glioma (DMG) are highly aggressive malignancies of the central nervous system that primarily affect the pediatric population. These tumors are historically universally fatal with no curative treatment options available. There is a need to identify more targeted and optimal treatments...

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Detalles Bibliográficos
Autores principales: Damodharan, Sudarshawn, Favreau, Peter, Lebakken, Connie, Dey, Mahua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260024/
http://dx.doi.org/10.1093/neuonc/noad073.038
Descripción
Sumario:Diffuse midline glioma (DMG) are highly aggressive malignancies of the central nervous system that primarily affect the pediatric population. These tumors are historically universally fatal with no curative treatment options available. There is a need to identify more targeted and optimal treatments for these patients. Current approaches to pre-clinical therapeutic testing have been limited by many obstacles to effectively translate theses to patients. It is known that the interactions between tumors and the other components of the tumor microenvironment (TME) can change the response to therapeutic interventions. This especially holds true for brain tumors and the complex neural network encompassed within their TME. Given this, it is crucial to develop more realistic DMG models that integrate this to conduct therapeutic testing rather than relying upon conventional cell culture models. The goal of our study was to develop a three-dimensional DMG cerebral organoid model derived from human induced pluripotent stem cells (iPSCs) co-cultured with three different DMG patient-derived xenograft (PDX) cell lines to better mimic the TME for therapeutic testing. We were able to successfully integrate our three cell lines into the cerebral organoids, capturing TME interactions along with performing multiomic profiling for better characterization. We next plan to perform therapeutic testing to further validate the model and improve preclinical drug screening for DMG.