- When monitoring response to cancer therapy, it is important to differentiate changes in glucose tracer uptake caused by altered delivery versus a true metabolic shift. Here, we propose an optical imaging method to quantify glucose uptake and correct for in vivo delivery effects. Glucose uptake was measured using a fluorescent D-glucose derivative 2-(N-(7-Nitrobenz-2-oxa-1,3-diazol-4-yl)Amino)-2-deoxy-D-glucose (2-NBDG) in mice implanted with dorsal skin flap window chambers. Additionally, vascular oxygenation (SO2) was calculated using only endogenous hemoglobin contrast. Results showed that the delivery factor proposed for correction, “RD”, reported on red blood cell velocity and injected 2-NBDG dose. Delivery-corrected 2-NBDG uptake (2-NBDG60/RD) inversely correlated with blood glucose in normal tissue, indicating sensitivity to glucose demand. We further applied our method in metastatic 4T1 and nonmetastatic 4T07 murine mammary adenocarcinomas. The ratio 2-NBDG60/RD was increased in 4T1 tumors relative to 4T07 tumors yet average SO2 was comparable, suggesting a shift toward a “Warburgian” (aerobic glycolysis) metabolism in the metastatic 4T1 line. In heterogeneous regions of both 4T1 and 4T07, 2-NBDG60/RD increased slightly but significantly as vascular oxygenation decreased, indicative of the Pasteur effect in both tumors. These data demonstrate the utility of delivery-corrected 2-NBDG and vascular oxygenation imaging for differentiating metabolic phenotypes in vivo.
Descriptions of endpoints: "4T1" and "4T07" tumor-bearing mice; "4T1IH" and "4T7IH" tumor-bearing mice exposed to 5h of cycling hypoxia; hbsat (vascular oxygen saturation, %); i60 (2-NBDG fluorescence 60 minutes post-injection, a.u.); imax (maximum 2-NBDG intensity, a.u.); mfac (2-NBDG60/ RD, a.u.); rd (rate of delivery, s^-1); tmax (time to max 2-NBDG intensity, s); tumor_mask (logical showing location of tumor)
This dataset of images was used in the preparation of the manuscript "Delivery-corrected imaging of fluorescently-labeled glucose reveals distinct metabolic phenotypes in murine breast cancers", which has been accepted for publication in PLOS ONE. Excel file contains data analysis based on the image set.
These data were originally made available at http://hdl.handle.net/10161/9276 and were migrated to the Duke Digital Repository on 12/08/2017. ... [Read More]
- Total Size
- 2 files (391 MB)
- Data Citation
- Frees, A. (2014). Image data from: Delivery-corrected imaging of fluorescently-labeled glucose reveals distinct metabolic phenotypes in murine breast cancers. Duke Digital Repository. http://hdl.handle.net/10161/9276
- Publication Date
- November 25, 2014
- Related Materials
- Nimmi Ramanujam; firstname.lastname@example.org
- Image data from: Delivery-corrected imaging of fluorescently-labeled glucose reveals distinct metabolic phenotypes in murine breast cancers
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