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Blancke Soares, Alexandra; Meier, Robert; Liebsch, Gregor; Schwenk-Zieger, Sabina; Kirmaier, Martin E.; Theurich, Sebastian; Widmann, Magdalena; Canis, Martin; Gires, Olivier und Haubner, Frank (2021): High-resolution spatiotemporal pH(e) and pO(2) imaging in head and neck and oesophageal carcinoma cells. In: Cancer & Metabolism, Bd. 9, Nr. 1, 21

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Abstract

Background pO(2) and pH are physiological parameters relevant for different processes in health and disease, including wound healing and cancer progression. Head and neck squamous cell carcinomas (HNSCC) and oesophageal squamous cell carcinomas (ESCC) have a high rate of local recurrence that is partly related to treatment-resistant residual tumour cells. Hence, novel diagnostic tools are required to visualise potential residual tumour cells and thereby improve treatment outcome for HNSCC and ESCC patients. We developed a device to spatiotemporally measure oxygen consumption rates (OCR) and extracellular acidification rates (ECAR) to distinguish HNSCC and ESCC cells from healthy cells in vitro, exploiting general metabolic differences between cancer cells and healthy cells. Methods OCR and ECAR were measured via a newly developed device named STO(2)p-Q (SpatioTemporal O-2 and pH Quantification) using the VisiSens technology based on ratiometric fluorescence imaging, facilitating spatiotemporal resolution. Results were confirmed using extracellular flux analyses (Seahorse technology). Results STO(2)p-Q is described and used to measure OCR and ECAR in HNSCC and ESCC cell lines and normal fibroblast and epithelial cells as components of the tumour microenvironment. OCR measurements showed differences amongst HNSCC and ESCC cell lines and between HNSCC/ESCC and normal cells, which on average had lower OCR than HNSCC/ESCC cells. Both OCR and ECAR measurements were independently verified using the Seahorse technology. Additionally, using STO(2)p-Q, HNSCC/ESCC, and normal cells could be spatially resolved with a resolution in the low millimetre range. Conclusions We developed a method to spatiotemporally measure OCR and ECAR of cells, which has many potential in vitro applications and lays the foundation for the development of novel diagnostic tools for the detection of cancerous tissue in HNSCC and ESCC patients in vivo.

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