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Optoacoustic Imaging in Inflammation

Effective Detection and Monitoring of Glioma Using [18F]FPIA PET Imaging

Department of Surgery and Cancer, Division of Cancer, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK
Department of Medicine, Division of Brain Sciences, Imperial College London, Hammersmith Campus, Burlington Danes, London W12 0NN, UK
Department of Medicine, Faculty of Medicine, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK
Institute de Recerca Sant Joan de Deu, 08950 Barcelona, Spain
Authors to whom correspondence should be addressed.
Academic Editor: Moritz Wildgruber
Biomedicines 2021, 9(7), 811;
Received: 10 May 2021 / Revised: 25 June 2021 / Accepted: 9 July 2021 / Published: 13 July 2021
(This article belongs to the Special Issue Advanced Research in Molecular Imaging of Immunity and Inflammation)
Background: Reprogrammed cellular metabolism is a cancer hallmark. In addition to increased glycolysis, the oxidation of acetate in the citric acid cycle is another common metabolic phenotype. We have recently developed a novel fluorine-18-labelled trimethylacetate-based radiotracer, [18F]fluoro-pivalic acid ([18F]FPIA), for imaging the transcellular flux of short-chain fatty acids, and investigated whether this radiotracer can be used for the detection of glioma growth. Methods: We evaluated the potential of [18F]FPIA PET to monitor tumor growth in orthotopic patient-derived (HSJD-GBM-001) and cell line-derived (U87, LN229) glioma xenografts, and also included [18F]FDG PET for comparison. We assessed proliferation (Ki-67) and the expression of lipid metabolism and transport proteins (CPT1, SLC22A2, SLC22A5, SLC25A20) by immunohistochemistry, along with etomoxir treatment to provide insights into [18F]FPIA uptake. Results: Longitudinal PET imaging showed gradual increase in [18F]FPIA uptake in orthotopic glioma models with disease progression (p < 0.0001), and high tumor-to-brain contrast compared to [18F]FDG (p < 0.0001). [18F]FPIA uptake correlated positively with Ki-67 (p < 0.01), SLC22A5 (p < 0.001) and SLC25A20 (p = 0.001), and negatively with CPT1 (p < 0.01) and SLC22A2 (p < 0.01). Etomoxir reduced [18F]FPIA uptake, which correlated with decreased Ki-67 (p < 0.05). Conclusions: Our findings support the use of [18F]FPIA PET for the detection and longitudinal monitoring of glioma, showing a positive correlation with tumor proliferation, and suggest transcellular flux-mediated radiotracer uptake. View Full-Text
Keywords: [18F]FPIA PET imaging; fatty acid metabolism; proliferation; glioma [18F]FPIA PET imaging; fatty acid metabolism; proliferation; glioma
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MDPI and ACS Style

Vassileva, V.; Braga, M.; Barnes, C.; Przystal, J.; Ashek, A.; Allott, L.; Brickute, D.; Abrahams, J.; Suwan, K.; Carcaboso, A.M.; Hajitou, A.; Aboagye, E.O. Effective Detection and Monitoring of Glioma Using [18F]FPIA PET Imaging. Biomedicines 2021, 9, 811.

AMA Style

Vassileva V, Braga M, Barnes C, Przystal J, Ashek A, Allott L, Brickute D, Abrahams J, Suwan K, Carcaboso AM, Hajitou A, Aboagye EO. Effective Detection and Monitoring of Glioma Using [18F]FPIA PET Imaging. Biomedicines. 2021; 9(7):811.

Chicago/Turabian Style

Vassileva, Vessela, Marta Braga, Chris Barnes, Justyna Przystal, Ali Ashek, Louis Allott, Diana Brickute, Joel Abrahams, Keittisak Suwan, Angel M. Carcaboso, Amin Hajitou, and Eric O. Aboagye 2021. "Effective Detection and Monitoring of Glioma Using [18F]FPIA PET Imaging" Biomedicines 9, no. 7: 811.

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