胶质瘤
计算机科学
优势和劣势
模式
神经科学
计算生物学
生物信息学
医学
医学物理学
生物
心理学
癌症研究
社会科学
社会心理学
社会学
作者
Krissie Lenting,Roel G.W. Verhaak,Mark ter Laan,Pieter Wesseling,William P. J. Leenders
标识
DOI:10.1007/s00401-017-1671-4
摘要
In theory, in vitro and in vivo models for human gliomas have great potential to not only enhance our understanding of glioma biology, but also to facilitate the development of novel treatment strategies for these tumors. For reliable prediction and validation of the effects of different therapeutic modalities, however, glioma models need to comply with specific and more strict demands than other models of cancer, and these demands are directly related to the combination of genetic aberrations and the specific brain micro-environment gliomas grow in. This review starts with a brief introduction on the pathological and molecular characteristics of gliomas, followed by an overview of the models that have been used in the last decades in glioma research. Next, we will discuss how these models may play a role in better understanding glioma development and especially in how they can aid in the design and optimization of novel therapies. The strengths and weaknesses of the different models will be discussed in light of genotypic, phenotypic and metabolic characteristics of human gliomas. The last part of this review provides some examples of how therapy experiments using glioma models can lead to deceptive results when such characteristics are not properly taken into account.
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