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Characterization of biological features of a rat F98 GBM model: A PET-MRI study with [(18)F]FAZA and [(18)F]FDG

Academic Article
Publication Date:
2013
abstract:
Introduction The prognosis of malignant gliomas remains largely unsatisfactory for the intrinsic characteristics of the pathology and for the delayed diagnosis. Multimodal imaging based on PET and MRI may assess the dynamics of disease onset and progression allowing the validation of preclinical models of glioblastoma multiforme (GBM). The aim of this study was the characterization of a syngeneic rat model of GBM using combined in vivo imaging and immunohistochemistry. Methods Four groups of Fischer rats were implanted in a subcortical region with increasing concentration of rat glioma F98 cells and weekly monitored with Gd-MR, [18F]FDG- and [18F]FAZA-PET starting one week after surgery. Different targets were evaluated on post mortem brain specimens using immunohistochemistry: VEGF, GFAP, HIF-1?, Ki-67 and nestin. Results Imaging results indicated that tumor onset but not progression was related to the number of F98 cells. Hypoxic regions identified with [18F]FAZA and high-glucose metabolism regions recognized with [18F]FDG were located respectively in the core and in external areas of the tumor, with partial overlap and remodeling during disease progression. Histological and immunohistochemical analysis confirmed PET/MRI results and revealed that our model resumes biological characteristics of human GBM. IHC and PET studies showed that necrotic regions, defined on the basis of [18F]FDG uptake reduction, may include hypoxic clusters of vital tumor tissue identified with [18F]FAZA. This last information is particularly relevant for the identification of the target volume during image-guided radiotherapy. Conclusions In conclusion, the combined use of PET and MRI allows in vivo monitoring of the biological modification of F98 lesions during tumor progression.
Iris type:
01.01 Articolo in rivista
Keywords:
PET - MRI; GBM model; Immunohistochemistry; Hypoxia; Glucose metabolism
List of contributors:
Moresco, ROSA MARIA; Monterisi, Cristina; Belloli, Sara
Authors of the University:
BELLOLI SARA
Handle:
https://iris.cnr.it/handle/20.500.14243/197782
Published in:
NUCLEAR MEDICINE AND BIOLOGY
Journal
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