类有机物
胶质母细胞瘤
表型
背景(考古学)
DNA甲基化
癌症研究
生物
个性化医疗
生物信息学
医学
计算生物学
神经科学
基因表达
基因
遗传学
古生物学
作者
Changwen Wang,Nadja Stöffler,Hai‐Kun Liu
摘要
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.
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