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Multiparametric Longitudinal Profiling of RCAS-tva-Induced PDGFB-Driven Experimental Glioma.
- Source :
- Brain Sciences (2076-3425); Nov2022, Vol. 12 Issue 11, p1426, 16p
- Publication Year :
- 2022
-
Abstract
- Glioblastomas are incurable primary brain tumors harboring a heterogeneous landscape of genetic and metabolic alterations. Longitudinal imaging by MRI and [<superscript>18</superscript>F]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 [<superscript>18</superscript>F]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 [<superscript>18</superscript>F]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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20763425
- Volume :
- 12
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Brain Sciences (2076-3425)
- Publication Type :
- Academic Journal
- Accession number :
- 160143555
- Full Text :
- https://doi.org/10.3390/brainsci12111426