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Updated: Jan 27, 2026

Characterization of Metabolic Status in Nonhuman Primates with the Intravenous Glucose Tolerance Test
Published on: November 13, 2016
Optical Imaging of Glucose Uptake and Mitochondrial Membrane Potential to Characterize Her2 Breast Tumor Metabolic
Megan C Madonna1, Douglas B Fox2, Brian T Crouch3
1Department of Biomedical Engineering, Duke University, Durham, North Carolina. megan.madonna@duke.edu.
Abstract:
With the large number of women diagnosed and treated for breast cancer each year, the importance of studying recurrence has become evident due to most deaths from breast cancer resulting from tumor recurrence following therapy. To mitigate this, cellular and molecular pathways used by residual disease prior to recurrence must be studied. An altered metabolism has long been considered a hallmark of cancer, and several recent studies have gone further to report metabolic dysfunction and alterations as key to understanding the underlying behavior of dormant and recurrent cancer cells. Our group has used two probes, 2-[N-(7-nitrobenz-2-oxa-1, 3-diaxol-4-yl) amino]-2-deoxyglucose (2-NBDG) and tetramethyl rhodamine ethyl ester (TMRE), to image glucose uptake and mitochondrial membrane potential, respectively, to report changes in metabolism between primary tumors, regression, residual disease, and after regrowth in genetically engineered mouse (GEM)-derived mammospheres. Imaging revealed unique metabolic phenotypes across the stages of tumor development. Although primary mammospheres overexpressing Her2 maintained increased glucose uptake ("Warburg effect"), after Her2 downregulation, during regression and residual disease, mammospheres appeared to switch to oxidative phosphorylation. Interestingly, in mammospheres where Her2 overexpression was turned back on to model recurrence, glucose uptake was lowest, indicating a potential change in substrate preference following the reactivation of Her2, reeliciting growth. Our findings highlight the importance of imaging metabolic adaptions to gain insight into the fundamental behaviors of residual and recurrent disease. IMPLICATIONS: This study demonstrates these functional fluorescent probes' ability to report metabolic adaptations during primary tumor growth, regression, residual disease, and regrowth in Her2 breast tumors.
Insights
Understanding breast cancer recurrence is crucial. This study reveals how cancer cell metabolism shifts during tumor growth, regression, and recurrence, offering insights into dormant disease.
Area of Science:
- Oncology
- Cancer Metabolism
- Molecular Imaging
Background:
- Breast cancer recurrence is a major cause of mortality, necessitating research into residual disease.
- Altered cellular metabolism is a hallmark of cancer and key to understanding dormant and recurrent cancer cells.
Purpose of the Study:
- To investigate metabolic changes in breast cancer cells during different stages of tumor development, including recurrence.
- To utilize fluorescent probes for imaging glucose uptake and mitochondrial membrane potential in genetically engineered mouse models.
Main Methods:
- Employed two fluorescent probes: 2-[N-(7-nitrobenz-2-oxa-1, 3-diaxol-4-yl) amino]-2-deoxyglucose (2-NBDG) for glucose uptake and tetramethyl rhodamine ethyl ester (TMRE) for mitochondrial membrane potential.
- Analyzed metabolic phenotypes in genetically engineered mouse-derived mammospheres across primary tumor growth, regression, residual disease, and regrowth stages, particularly in Her2-overexpressing models.
Main Results:
- Primary Her2-overexpressing mammospheres showed increased glucose uptake (Warburg effect).
- During regression and residual disease (Her2 downregulation), mammospheres shifted to oxidative phosphorylation.
- Recurrent mammospheres (Her2 reactivation) exhibited lowest glucose uptake, suggesting substrate preference changes.
Conclusions:
- Metabolic imaging reveals distinct phenotypes across tumor development stages.
- Functional fluorescent probes can effectively report metabolic adaptations in residual and recurrent breast cancer.
- Understanding these metabolic shifts is vital for targeting dormant and recurrent disease.
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