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A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity

Authors :
Dmitriy Petrov
Di-ao Liu
H. Isaac Chen
Deeksha Saxena
Phuong T.T. Nguyen
Xuyu Qian
MacLean Nasrallah
Radhika Thokala
Samuel Zheng Hao Wong
Timothy H. Lucas
Jay F. Dorsey
Fadi Jacob
Donald M. O'Rourke
Steven Brem
Ryan D Salinas
Kimberly M. Christian
Guo Li Ming
Hongjun Song
Jordan G. Schnoll
Daniel Y. Zhang
Stefan Prokop
Saad Sheikh
Zev A. Binder
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.

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