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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Xu, Xiangdong Li, Lingfei Luo, Linting Shu, Lingling Si, Xiaoli Chen, Zhenzhen Xia, Wenqing Huang, Jinyu Liu, Yang Shao, Anwen Ke, Yiquan |
| Abstract | Glioma is the most common primary brain tumor and its prognosis is poor. Despite surgical removal, glioma is still prone to recurrence because it grows rapidly in the brain, is resistant to chemotherapy, and is highly aggressive. Therefore, there is an urgent need for a platform to study the cell dynamics of gliomas in order to discover the characteristics of the disease and develop more effective treatments. Although 2D cell models and animal models in previous studies have provided great help for our research, they also have many defects. Recently, scientific researchers have constructed a 3D structure called Organoids, which is similar to the structure of human tissues and organs. Organoids can perfectly compensate for the shortcomings of previous glioma models and are currently the most suitable research platform for glioma research. Therefore, we review the three methods currently used to establish glioma organoids. And introduced how they play a role in the diagnosis and treatment of glioma. Finally, we also summarized the current bottlenecks and difficulties encountered by glioma organoids, and the current efforts to solve these difficulties. Video Abstract |
| Related Links | https://biosignaling.biomedcentral.com/counter/pdf/10.1186/s12964-021-00777-0.pdf |
| Ending Page | 13 |
| Page Count | 13 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s12964-021-00777-0 |
| Journal | Cell Communication and Signaling |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2021-10-11 |
| Access Restriction | Open |
| Subject Keyword | Cell Biology Protein-Ligand Interactions Receptors Cytokines and Growth Factors Glioma Glioblastoma Organoids Tumor microenvironment Cancer stem cells Endothelial cells |
| Content Type | Text |
| Resource Type | Review |
| Subject | Biochemistry Cell Biology Molecular Biology |
| Journal Impact Factor | 8.2/2023 |
| 5-Year Journal Impact Factor | 8/2023 |
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