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Multiparametric Longitudinal Profiling of RCAS-tva-Induced PDGFB-Driven Experimental Glioma.
Becker, Hannes; Castaneda-Vega, Salvador; Patzwaldt, Kristin; Przystal, Justyna M; Walter, Bianca; Michelotti, Filippo C; Canjuga, Denis; Tatagiba, Marcos; Pichler, Bernd; Beck, Susanne C; Holland, Eric C; la Fougère, Christian; Tabatabai, Ghazaleh.
Afiliação
  • Becker H; Department of Neurology & Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, Center for Neuro-Oncology, Comprehensive Cancer Center, University Hospital Tübingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Castaneda-Vega S; Department of Neurosurgery, University Hospital Tubingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Patzwaldt K; Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, 72072 Tubingen, Germany.
  • Przystal JM; Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tuebingen, 72072 Tubingen, Germany.
  • Walter B; Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, 72072 Tubingen, Germany.
  • Michelotti FC; Department of Neurology & Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, Center for Neuro-Oncology, Comprehensive Cancer Center, University Hospital Tübingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Canjuga D; German Translational Cancer Consortium (DKTK), DKFZ Partner Site, 72072 Tubingen, Germany.
  • Tatagiba M; Department of Neurology & Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, Center for Neuro-Oncology, Comprehensive Cancer Center, University Hospital Tübingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Pichler B; Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, 72072 Tubingen, Germany.
  • Beck SC; Department of Neurology & Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, Center for Neuro-Oncology, Comprehensive Cancer Center, University Hospital Tübingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Holland EC; Department of Neurology & Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, Center for Neuro-Oncology, Comprehensive Cancer Center, University Hospital Tübingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • la Fougère C; Department of Neurosurgery, University Hospital Tubingen, Eberhard Karls University Tubingen, 72072 Tubingen, Germany.
  • Tabatabai G; Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tuebingen, 72072 Tubingen, Germany.
Brain Sci ; 12(11)2022 Oct 24.
Article em En | MEDLINE | ID: mdl-36358353
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha