Glioblastoma modeling with 3D organoids: progress and challenges

Author:

Wang Xin1,Sun Yusha2,Zhang Daniel Y3,Ming Guo-li1456,Song Hongjun14578ORCID

Affiliation:

1. University of Pennsylvania Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, , Philadelphia, PA 19104, USA

2. University of Pennsylvania Neuroscience Graduate Group, Perelman School of Medicine, , Philadelphia, PA 19104, USA

3. University of Pennsylvania Department of Neurosurgery, Perelman School of Medicine, , Philadelphia, PA 19104, USA

4. University of Pennsylvania Department of Cell and Developmental Biology, Perelman School of Medicine, , Philadelphia, PA 19104, USA

5. University of Pennsylvania Institute for Regenerative Medicine, , Philadelphia, PA 19104, USA

6. University of Pennsylvania Department of Psychiatry, Perelman School of Medicine, , Philadelphia, PA 19104, USA

7. University of Pennsylvania The Epigenetics Institute, Perelman School of Medicine, , Philadelphia, PA 19104, USA

8. University of Pennsylvania Philadelphia GBM Translational Center of Excellence, Abramson Cancer Center, , PA 19104, USA

Abstract

Abstract Glioblastoma (GBM) is the most aggressive adult primary brain tumor with nearly universal treatment resistance and recurrence. The mainstay of therapy remains maximal safe surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy. Despite intensive investigation, alternative treatment options, such as immunotherapy or targeted molecular therapy, have yielded limited success to achieve long-term remission. This difficulty is partly due to the lack of pre-clinical models that fully recapitulate the intratumoral and intertumoral heterogeneity of GBM and the complex tumor microenvironment. Recently, GBM 3D organoids originating from resected patient tumors, genetic manipulation of induced pluripotent stem cell (iPSC)-derived brain organoids and bio-printing or fusion with non-malignant tissues have emerged as novel culture systems to portray the biology of GBM. Here, we highlight several methodologies for generating GBM organoids and discuss insights gained using such organoid models compared to classic modeling approaches using cell lines and xenografts. We also outline limitations of current GBM 3D organoids, most notably the difficulty retaining the tumor microenvironment, and discuss current efforts for improvements. Finally, we propose potential applications of organoid models for a deeper mechanistic understanding of GBM and therapeutic development.

Publisher

Oxford University Press (OUP)

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