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Glioblastoma preclinical models: Strengths and weaknesses.

Authors :
Pasupuleti V
Vora L
Prasad R
Nandakumar DN
Khatri DK
Source :
Biochimica et biophysica acta. Reviews on cancer [Biochim Biophys Acta Rev Cancer] 2024 Jan; Vol. 1879 (1), pp. 189059. Date of Electronic Publication: 2023 Dec 16.
Publication Year :
2024

Abstract

Glioblastoma multiforme is a highly malignant brain tumor with significant intra- and intertumoral heterogeneity known for its aggressive nature and poor prognosis. The complex signaling cascade that regulates this heterogeneity makes targeted drug therapy ineffective. The development of an optimal preclinical model is crucial for the comprehension of molecular heterogeneity and enhancing therapeutic efficacy. The ideal model should establish a relationship between various oncogenes and their corresponding responses. This review presents an analysis of preclinical in vivo and in vitro models that have contributed to the advancement of knowledge in model development. The experimental designs utilized in vivo models consisting of both immunodeficient and immunocompetent mice induced with intracranial glioma. The transgenic model was generated using various techniques, like the viral vector delivery system, transposon system, Cre-LoxP model, and CRISPR-Cas9 approaches. The utilization of the patient-derived xenograft model in glioma research is valuable because it closely replicates the human glioma microenvironment, providing evidence of tumor heterogeneity. The utilization of in vitro techniques in the initial stages of research facilitated the comprehension of molecular interactions. However, these techniques are inadequate in reproducing the interactions between cells and extracellular matrix (ECM). As a result, bioengineered 3D-in vitro models, including spheroids, scaffolds, and brain organoids, were developed to cultivate glioma cells in a three-dimensional environment. These models have enabled researchers to understand the influence of ECM on the invasive nature of tumors. Collectively, these preclinical models effectively depict the molecular pathways and facilitate the evaluation of multiple molecules while tailoring drug therapy.<br />Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-2561
Volume :
1879
Issue :
1
Database :
MEDLINE
Journal :
Biochimica et biophysica acta. Reviews on cancer
Publication Type :
Academic Journal
Accession number :
38109948
Full Text :
https://doi.org/10.1016/j.bbcan.2023.189059