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Multiparametric Longitudinal Profiling of RCAS-tva-Induced PDGFB-Driven Experimental Glioma

Authors :
Hannes Becker
Salvador Castaneda-Vega
Kristin Patzwaldt
Justyna M. Przystal
Bianca Walter
Filippo C. Michelotti
Denis Canjuga
Marcos Tatagiba
Bernd Pichler
Susanne C. Beck
Eric C. Holland
Christian la Fougère
Ghazaleh Tabatabai
Source :
Brain Sciences, Vol 12, Iss 11, p 1426 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Glioblastomas are incurable primary brain tumors harboring a heterogeneous landscape of genetic and metabolic alterations. Longitudinal imaging by MRI and [18F]FET-PET measurements enable us to visualize the features of evolving tumors in a dynamic manner. Yet, close-meshed longitudinal imaging time points for characterizing temporal and spatial metabolic alterations during tumor evolution in patients is not feasible because patients usually present with already established tumors. The replication-competent avian sarcoma-leukosis virus (RCAS)/tumor virus receptor-A (tva) system is a powerful preclinical glioma model offering a high grade of spatial and temporal control of somatic gene delivery in vivo. Consequently, here, we aimed at using MRI and [18F]FET-PET to identify typical neuroimaging characteristics of the platelet-derived growth factor B (PDGFB)-driven glioma model using the RCAS-tva system. Our study showed that this preclinical glioma model displays MRI and [18F]FET-PET features that highly resemble the corresponding established human disease, emphasizing the high translational relevance of this experimental model. Furthermore, our investigations unravel exponential growth dynamics and a model-specific tumor microenvironment, as assessed by histology and immunochemistry. Taken together, our study provides further insights into this preclinical model and advocates for the imaging-stratified design of preclinical therapeutic interventions.

Details

Language :
English
ISSN :
20763425
Volume :
12
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.2ed0e0f1ebe24097b868f7cae3dc0b07
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci12111426