{"title":"Laboratory-Engineered Glioblastoma Organoid Culture and Drug Screening.","authors":"Changwen Wang, Nadja Stöffler, Hai-Kun Liu","doi":"10.3791/67593","DOIUrl":null,"url":null,"abstract":"<p><p>Glioblastoma (GBM) is described as a group of highly malignant primary brain tumors and stands as one of the most lethal malignancies. The genetic and cellular characteristics of GBM have been a focal point of ongoing research, revealing that it is a group of heterogeneous diseases with variations in RNA expression, DNA methylation, or cellular composition. Despite the wealth of molecular data available, the lack of transferable pre-clinic models has limited the application of this information to disease classification rather than treatment stratification. Transferring the patients' genetic information into clinical benefits and bridging the gap between detailed descriptions of GBM, genotype-phenotype associations, and treatment advancements remain significant challenges. In this context, we present an advanced human GBM organoid model, the Laboratory Engineered Glioblastoma Organoid (LEGO), and illustrate its use in studying the genotype-phenotype dependencies and screening potential drugs for GBM. Utilizing this model, we have identified lipid metabolism dysregulation as a critical milestone in GBM progression and discovered that the microsomal triglyceride transfer protein inhibitor Lomitapide shows promise as a potential treatment for GBM.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 215","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jove-Journal of Visualized Experiments","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.3791/67593","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Glioblastoma (GBM) is described as a group of highly malignant primary brain tumors and stands as one of the most lethal malignancies. The genetic and cellular characteristics of GBM have been a focal point of ongoing research, revealing that it is a group of heterogeneous diseases with variations in RNA expression, DNA methylation, or cellular composition. Despite the wealth of molecular data available, the lack of transferable pre-clinic models has limited the application of this information to disease classification rather than treatment stratification. Transferring the patients' genetic information into clinical benefits and bridging the gap between detailed descriptions of GBM, genotype-phenotype associations, and treatment advancements remain significant challenges. In this context, we present an advanced human GBM organoid model, the Laboratory Engineered Glioblastoma Organoid (LEGO), and illustrate its use in studying the genotype-phenotype dependencies and screening potential drugs for GBM. Utilizing this model, we have identified lipid metabolism dysregulation as a critical milestone in GBM progression and discovered that the microsomal triglyceride transfer protein inhibitor Lomitapide shows promise as a potential treatment for GBM.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.