表观遗传学
医学
离体
中枢神经系统
体内
生物信息学
神经科学
癌症研究
计算生物学
生物
内科学
基因
生物化学
生物技术
作者
Aleena Arakaki,Frank Szulzewsky,Mark R. Gilbert,Taranjit S. Gujral,Eric C. Holland
出处
期刊:Neuro-oncology
[Oxford University Press]
日期:2021-11-01
卷期号:23 (Supplement_5): S4-S15
被引量:3
标识
DOI:10.1093/neuonc/noab183
摘要
Patients with rare central nervous system (CNS) tumors typically have a poor prognosis and limited therapeutic options. Historically, these cancers have been difficult to study due to small number of patients. Recent technological advances have identified molecular drivers of some of these rare cancers which we can now use to generate representative preclinical models of these diseases. In this review, we outline the advantages and disadvantages of different models, emphasizing the utility of various in vitro and ex vivo models for target discovery and mechanistic inquiry and multiple in vivo models for therapeutic validation. We also highlight recent literature on preclinical model generation and screening approaches for ependymomas, histone mutated high-grade gliomas, and atypical teratoid rhabdoid tumors, all of which are rare CNS cancers that have recently established genetic or epigenetic drivers. These preclinical models are critical to advancing targeted therapeutics for these rare CNS cancers that currently rely on conventional treatments.
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