Establishment of patient-derived organoid models of lower-grade glioma

Author:

Abdullah Kalil G123ORCID,Bird Cylaina E1,Buehler Joseph D1,Gattie Lauren C1,Savani Milan R4,Sternisha Alex C4,Xiao Yi4,Levitt Michael M4,Hicks William H1,Li Wenhao25,Ramirez Denise M O25,Patel Toral123,Garzon-Muvdi Tomas123,Barnett Samuel123,Zhang Gao6,Ashley David M6,Hatanpaa Kimmo J7,Richardson Timothy E8,McBrayer Samuel K34

Affiliation:

1. Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA

2. O’Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas,  USA

3. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas,  USA

4. Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas,  USA

5. Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas,  USA

6. Duke University School of Medicine, Duke University, Durham, North Carolina,  USA

7. Department of Pathology, Division of Neuropathology, University of Texas Southwestern Medical Center, Dallas, Texas,  USA

8. Department of Pathology and Laboratory Medicine and The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas,  USA

Abstract

Abstract Background Historically, creating patient-derived models of lower-grade glioma (LGG) has been challenging, contributing to few experimental platforms that support laboratory-based investigations of this disease. Although organoid modeling approaches have recently been employed to create in vitro models of high-grade glioma (HGG), it is unknown whether this approach can be successfully applied to LGG. Methods In this study, we developed an optimized protocol for the establishment of organoids from LGG primary tissue samples by utilizing physiologic (5%) oxygenation conditions and employed it to produce the first known suite of these models. To assess their fidelity, we surveyed key biological features of patient-derived organoids using metabolic, genomic, histologic, and lineage marker gene expression assays. Results Organoid models were created with a success rate of 91% (n = 20/22) from primary tumor samples across glioma histological subtypes and tumor grades (WHO Grades 1–4), and a success rate of 87% (13/15) for WHO Grade 1–3 tumors. Patient-derived organoids recapitulated stemness, proliferative, and tumor-stromal composition profiles of their respective parental tumor specimens. Cytoarchitectural, mutational, and metabolic traits of parental tumors were also conserved. Importantly, LGG organoids were maintained in vitro for weeks to months and reanimated after biobanking without loss of integrity. Conclusions We report an efficient method for producing faithful in vitro models of LGG. New experimental platforms generated through this approach are well positioned to support preclinical studies of this disease, particularly those related to tumor immunology, tumor-stroma interactions, identification of novel drug targets, and personalized assessments of treatment response profiles.

Funder

National Institutes of Health

Eugene P. Frenkel, M.D. Endowment

Cancer Prevention and Research Institute of Texas

Oligo Nation

Burroughs Wellcome Trust

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

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