Imaging of glucose metabolism by 13C-MRI distinguishes pancreatic cancer subtypes in mice
Open accessAbstract
Metabolic differences among and within tumors can be an important determinant in cancer treatment outcome. However, methods for determining these differences non-invasively in vivo is lacking. Using pancreatic ductal adenocarcinoma as a model, we demonstrate that tumor xenografts with a similar genetic background can be distinguished by their differing rates of the metabolism of 13C labeled glucose tracers, which can be imaged without hyperpolarization by using newly developed techniques for noise suppression. Using this method, cancer subtypes that appeared to have similar metabolic profiles based on steady state metabolic measurement can be distinguished from each other. The metabolic maps from 13C-glucose imaging localized lactate production and overall glucose metabolism to different regions of some tumors. Such tumor heterogeneity would not be not detectable in FDG-PET.
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Differential metabolism of tumor regions can be observed through imaging techniques, including spatial heterogeneity of glycolysis.
“The differential metabolism of these regions can be readily observed through imaging techniques236,237, including spatial heterogeneity of glycolysis.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [236]
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- Authors
- Kishimoto, S., Brender, J. R., Crooks, D. R., Matsumoto, S., Seki, T., Oshima, N., Merkle, H., Lin, P., Reed, G., Chen, A. P., Ardenkjaer-Larsen, J. H., Munasinghe, J., Saito, K., Yamamoto, K., Choyke, P. L., Mitchell, J., Lane, A. N., Fan, T. W., Linehan, W. M., & Krishna, M. C.
- Affiliations
- National Institutes of Health (US)
- Hokkaido University (JP)
- University of Kentucky (US)
- GE HealthCare, Chicago, United States
- Corresponding author
- Brender, Jeffrey R
- Krishna, Murali C
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2019-08-13
- Volume
- 8
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC6706239
- OpenAlex
- W2968441812
- Cited by
- 41
- References
- 85
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 11 · 2020: 11 · 2019: 2
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- UKnowledge (University of Kentucky) (submittedVersion, public-domain)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion)
- Funders
- National Cancer Institute (1ZIASC006321-39, Intramural Research Program)
- Shared Resource(s) of the University of Kentucky Markey Cancer Center (P30CA177558)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- pancreatic ductal adenocarcinoma, 13C MRI, glucose metabolism, tumor heterogeneity, tumor subtypes, lactic acid production, noise reduction, tumor xenografts, metabolic imaging
- MeSH terms
- Adenocarcinoma, Animals, Carbon Isotopes, Disease Models, Animal, Glucose, Magnetic Resonance Imaging, Pancreatic Neoplasms, Carcinoma, Pancreatic Ductal, Mice
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