Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study.
View / Open Files
Authors
Mair, Richard
Riemer, Frank
Gill, Andrew B
Daniels, Charlie J
Allinson, Kieren
Laurent, Marie-Christine
Frary, Amy
Patterson, Ilse
Slough, Rhys
Wilkinson, Ian
Basu, Bristi
Wason, James
Gillard, Jonathan H
Watts, Colin
Santarius, Thomas
Graves, Martin J
Jefferies, Sarah
Publication Date
2022-07Journal Title
Radiol Imaging Cancer
ISSN
2638-616X
Publisher
Radiological Society of North America (RSNA)
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Zaccagna, F., McLean, M. A., Grist, J. T., Kaggie, J., Mair, R., Riemer, F., Woitek, R., et al. (2022). Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study.. Radiol Imaging Cancer https://doi.org/10.1148/rycan.210076
Abstract
Purpose To evaluate glioblastoma (GBM) metabolism by using hyperpolarized carbon 13 (13C) MRI to monitor the exchange of the hyperpolarized 13C label between injected [1-13C]pyruvate and tumor lactate and bicarbonate. Materials and Methods In this prospective study, seven treatment-naive patients (age [mean ± SD], 60 years ± 11; five men) with GBM were imaged at 3 T by using a dual-tuned 13C-hydrogen 1 head coil. Hyperpolarized [1-13C]pyruvate was injected, and signal was acquired by using a dynamic MRI spiral sequence. Metabolism was assessed within the tumor, in the normal-appearing brain parenchyma (NABP), and in healthy volunteers by using paired or unpaired t tests and a Wilcoxon signed rank test. The Spearman ρ correlation coefficient was used to correlate metabolite labeling with lactate dehydrogenase A (LDH-A) expression and some immunohistochemical markers. The Benjamini-Hochberg procedure was used to correct for multiple comparisons. Results The bicarbonate-to-pyruvate (BP) ratio was lower in the tumor than in the contralateral NABP (P < .01). The tumor lactate-to-pyruvate (LP) ratio was not different from that in the NABP (P = .38). The LP and BP ratios in the NABP were higher than those observed previously in healthy volunteers (P < .05). Tumor lactate and bicarbonate signal intensities were strongly correlated with the pyruvate signal intensity (ρ = 0.92, P < .001, and ρ = 0.66, P < .001, respectively), and the LP ratio was weakly correlated with LDH-A expression in biopsy samples (ρ = 0.43, P = .04). Conclusion Hyperpolarized 13C MRI demonstrated variation in lactate labeling in GBM, both within and between tumors. In contrast, bicarbonate labeling was consistently lower in tumors than in the surrounding NABP. Keywords: Hyperpolarized 13C MRI, Glioblastoma, Metabolism, Cancer, MRI, Neuro-oncology Supplemental material is available for this article. Published under a CC BY 4.0 license.
Keywords
Cancer, Glioblastoma, Hyperpolarized 13C MRI, MRI, Metabolism, Neuro-oncology, Bicarbonates, Glioblastoma, Humans, Lactate Dehydrogenase 5, Lactic Acid, Male, Middle Aged, Prospective Studies, Pyruvic Acid
Sponsorship
Wellcome Trust (095962/Z/11/Z)
Cancer Research UK (CB4100)
Cancer Research UK (C14303/A17197)
Cancer Research Uk (None)
Cancer Research UK (C96/A25177)
National Institute for Health Research (IS-BRC-1215-20014)
Identifiers
External DOI: https://doi.org/10.1148/rycan.210076
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337518
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk