Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 24, Issue 22, Pages -Publisher
MDPI
DOI: 10.3390/ijms242216316
Keywords
glioblastoma; preclinical models; animal models; genetic engineering; cell lines; microfluidics; 3D models
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Glioblastoma is a common and debilitating malignant tumor of the central nervous system. The prognosis for patients with glioblastoma remains poor, and current management methods are not optimal. This review explores the evolution of preclinical models for glioblastoma and discusses commonly used in vitro and in vivo models, as well as advancements in humanized mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics. The review highlights the importance of developing suitable preclinical models to advance glioblastoma research.
Glioblastoma is the most common malignant primary central nervous system tumor and one of the most debilitating cancers. The prognosis of patients with glioblastoma remains poor, and the management of this tumor, both in its primary and recurrent forms, remains suboptimal. Despite the tremendous efforts that are being put forward by the research community to discover novel efficacious therapeutic agents and modalities, no major paradigm shifts have been established in the field in the last decade. However, this does not mirror the abundance of relevant findings and discoveries made in preclinical glioblastoma research. Hence, developing and utilizing appropriate preclinical models that faithfully recapitulate the characteristics and behavior of human glioblastoma is of utmost importance. Herein, we offer a holistic picture of the evolution of preclinical models of glioblastoma. We further elaborate on the commonly used in vitro and vivo models, delving into their development, favorable characteristics, shortcomings, and areas of potential improvement, which aids researchers in designing future experiments and utilizing the most suitable models. Additionally, this review explores progress in the fields of humanized and immunotolerant mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics and highlights promising avenues for the future of preclinical glioblastoma research.
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