作者: Paolo Malatesta , Filippo Calzolari , Irene Appolloni
DOI: 10.1007/978-3-7091-1431-5_13
关键词: Cancer research 、 Molecular heterogeneity 、 Translational research 、 Computational biology 、 Computer science 、 Rtk signaling 、 Glioma
摘要: The development and refinement of animal models gliomagenesis has been fundamental to test hypotheses concerning the etiology gliomas their molecular cellular pathogenesis. During last few decades, modeling gained in complexity is nowadays mostly relying on cell type-specific modulation expression candidate oncogenes oncosuppressors. Despite such technological advances, recent appreciation heterogeneity underlying human high-grade glioma variability revealed need for a deeper characterization available models. It now clear that most existing systems mimic one classes, known as “proneural,” leaving other groups underrepresented. While there thus an expansion range models, ones have already proven useful translational research platforms, allowing preliminary assessment efficacy classical innovative therapeutic approaches. In this contribution, we provide general view field synthesize our understanding biology thoroughly studied model family, platelet-derived growth factor (PDGF)-induced gliomas.