Imaging of glucose metabolism by 13C-MRI distinguishes pancreatic cancer subtypes in mice

eLife

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[1] Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, United States;Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, United States;Markey Cancer Center, University of Kentucky, Lexington, United States;GE HealthCare, Chicago, United States;GE HealthCare, Chicago, United States;Department of Electrical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark;Graduate School of Information Science and Technology, Division of Bioengineering and Bioinformatics, Hokkaido University, Sapporo, Japan;JST, PREST, Saitama, Japan;Molecular Imaging Program, Center for Cancer Research, NCI, NIH, Bethesda, United States;NINDS, NIH, Bethesda, United States;Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, United States;Urologic Oncology Branch, Center for Cancer Research, NCI, NIH, Bethesda, United States;

关键词: imaging;    MRI;    metabolism;    metabolomics;    tumor microenvironment;    magnetic resonance spectroscopy;    Mouse;   

DOI  :  10.7554/eLife.46312

来源: publisher

【 摘 要 】

10.7554/eLife.46312.001Metabolic 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.

【 授权许可】

CC BY