胶质母细胞瘤
脑瘤
危险分层
神经科学
靶向治疗
资源(消歧)
医学
生物信息学
生物
病理
计算机科学
癌症研究
癌症
内科学
计算机网络
作者
Lynnette Koh,Wisna Novera,See Wee Lim,Yuk Kien Chong,Qing You Pang,David C.Y. Low,Beng Ti Ang,Carol Tang
标识
DOI:10.1016/j.phrs.2022.106308
摘要
This review describes recent technological advances applied to glioblastoma (GBM), a brain tumor with dismal prognosis. International consortial efforts suggest the presence of molecular subtypes within histologically identical GBM tumors. This emphasizes that future treatment decisions should no longer be made based solely on morphological analyses, but must now take into consideration such molecular and cellular heterogeneity. The use of single-cell technologies has advanced our understanding and assignation of functional subtypes revealing therapeutic vulnerabilities. Our team has developed stratification approaches in the past few years, and we have been able to identify patient cohorts enriched for various signaling pathways. Importantly, our Glioportal brain tumor resource has been established under the National Neuroscience Institute Tissue Bank in 2021. This resource offers preclinical capability to validate working hypotheses established from patient clinical datasets. This review highlights recent developments with the ultimate goal of assigning functional meaning to molecular subtypes, revealing therapeutic vulnerabilities.
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