Generation of patient-derived glioblastoma organoids: a comparative study of enzymatic digestion and mechanical fragmentation methods

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by rapid growth and high heterogeneity, posing challenges for fundamental research and personalized drug screening due to the lack of suitable models. GBM organoids serve as an innovative research tool, providing a valuable model for studying the biological characteristics of GBM. In this study, we successfully generated 4 GBM organoids and employed enzymatic digestion and mechanical fragmentation techniques for subsequent cultivation. Through continuous observation, pathological assessment, and RNA sequencing (RNA-seq), we observed that all the organoids generated through both methods demonstrated good growth characteristics. The organoids derived from mechanical fragmentation not only achieved a two-dimensional (2D) area of ~ 1.5 mm<sup>2</sup> but also exhibited distinct vascular structures. The organoids derived from enzymatic digestion achieved a 2D area of approximately 0.8 mm<sup>2</sup>. Furthermore, RNA-seq analysis has revealed that organoids cultured using two distinct methods exhibit a heterogeneous cellular composition, comprising a total of 20 cell types (endothelial, immune cells ...). Our studies show that both methods successfully maintained the essential characteristics of GBM, encompassing its distinctive tissue structure and gene expression patterns. Each method exhibits its own attributes, contributing to the understanding of GBM organoids.

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Publication Details

Journal
Cell organoid (Print)
Published
2024-11-07
DOI
https://doi.org/10.26599/co.2024.9410004
Citations
4
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.74
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article

Generation of patient-derived glioblastoma organoids: a comparative study of enzymatic digestion and mechanical fragmentation methods

Hong‐Zhou Tan, Xinxin Han, Wei Deng, Lanyang Li et al.
4 citations
Cell organoid (Print)
3D Printing in Biomedical Research
0.74
article

Generation of patient-derived glioblastoma organoids: a comparative study of enzymatic digestion and mechanical fragmentation methods

Hong‐Zhou Tan, Xinxin Han, Wei Deng, Lanyang Li, Chunhui Cai, Mingjie Rong, Chen Wang, Jian Zhang, Jiping Liu, Bangbao Tao, Yanghua Shi
article en
4 citations

Abstract

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by rapid growth and high heterogeneity, posing challenges for fundamental research and personalized drug screening due to the lack of suitable models. GBM organoids serve as an innovative research tool, providing a valuable model for studying the biological characteristics of GBM. In this study, we successfully generated 4 GBM organoids and employed enzymatic digestion and mechanical fragmentation techniques for subsequent cultivation. Through continuous observation, pathological assessment, and RNA sequencing (RNA-seq), we observed that all the organoids generated through both methods demonstrated good growth characteristics. The organoids derived from mechanical fragmentation not only achieved a two-dimensional (2D) area of ~ 1.5 mm<sup>2</sup> but also exhibited distinct vascular structures. The organoids derived from enzymatic digestion achieved a 2D area of approximately 0.8 mm<sup>2</sup>. Furthermore, RNA-seq analysis has revealed that organoids cultured using two distinct methods exhibit a heterogeneous cellular composition, comprising a total of 20 cell types (endothelial, immune cells ...). Our studies show that both methods successfully maintained the essential characteristics of GBM, encompassing its distinctive tissue structure and gene expression patterns. Each method exhibits its own attributes, contributing to the understanding of GBM organoids.

Cell organoid (Print)Vol. 1(2)
Peking University (CN), XinHua Hospital (CN), Shanghai University of Traditional Chinese Medicine (CN), Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN), Viva Biotech (China) (CN), Huashan Hospital (CN)
Zero hunger
Openalex Percentile: Top 31%
3D Printing in Biomedical Research
0.74
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