AI Article Synopsis

  • Many cancers adapt their metabolism to survive in different oxygen levels, but existing imaging methods can't capture these changes in detail.
  • We developed a high-resolution intravital microscopy technique that measures glucose uptake and mitochondrial activity in three types of breast cancer in mice.
  • Our results showed metastatic tumors (4T1) had higher glucose uptake and mitochondrial activity compared to normal tissue, while non-metastatic tumors had similar glucose uptake but varied mitochondrial responses, highlighting the need for better imaging to understand cancer behavior in real-time.

Article Abstract

Many cancers adeptly modulate metabolism to thrive in fluctuating oxygen conditions; however, current tools fail to image metabolic and vascular endpoints at spatial resolutions needed to visualize these adaptations in vivo. We demonstrate a high-resolution intravital microscopy technique to quantify glucose uptake, mitochondrial membrane potential (MMP), and SO to characterize the in vivo phentoypes of three distinct murine breast cancer lines. Tetramethyl rhodamine, ethyl ester (TMRE) was thoroughly validated to report on MMP in normal and tumor-bearing mice. Imaging MMP or glucose uptake together with vascular endpoints revealed that metastatic 4T1 tumors maintained increased glucose uptake across all SO ("Warburg effect"), and also showed increased MMP relative to normal tissue. Non-metastatic 67NR and 4T07 tumor lines both displayed increased MMP, but comparable glucose uptake, relative to normal tissue. The 4T1 peritumoral areas also showed a significant glycolytic shift relative to the tumor regions. During a hypoxic stress test, 4T1 tumors showed significant increases in MMP with corresponding significant drops in SO, indicative of intensified mitochondrial metabolism. Conversely, 4T07 and 67NR tumors shifted toward glycolysis during hypoxia. Our findings underscore the importance of imaging metabolic endpoints within the context of a living microenvironment to gain insight into a tumor's adaptive behavior.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843602PMC
http://dx.doi.org/10.1038/s41598-018-22480-wDOI Listing

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