Glioma: experimental models and reality

被引:226
作者
Lenting, Krissie [1 ]
Verhaak, Roel [2 ]
ter Laan, Mark [3 ]
Wesseling, Pieter [4 ,5 ,6 ]
Leenders, William [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Pathol, POB 9101, NL-6500 HB Nijmegen, Netherlands
[2] Jackson Lab Genom Med, Farmington, CT USA
[3] Radboud Univ Nijmegen, Med Ctr, Dept Neurosurg, Nijmegen, Netherlands
[4] Vrije Univ Amsterdam, Med Ctr, Dept Pathol, Amsterdam, Netherlands
[5] Princess Maxima Ctr Pediat Oncol, Dept Pathol, Utrecht, Netherlands
[6] Univ Med Ctr Utrecht, Utrecht, Netherlands
关键词
BLOOD-BRAIN-BARRIER; INTEGRATED GENOMIC ANALYSIS; DENDRITIC CELL VACCINATION; CANCER RESISTANCE PROTEIN; ANTI-ANGIOGENIC TREATMENT; GROWTH-FACTOR RECEPTOR; STEM-CELLS; MOLECULAR-MECHANISMS; KINASE INHIBITORS; ISOCITRATE DEHYDROGENASE;
D O I
10.1007/s00401-017-1671-4
中图分类号
R74 [神经病学与精神病学];
学科分类号
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.
引用
收藏
页码:263 / 282
页数:20
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