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Combined Oxygen-enhanced MRI and perfusion imaging detect hypoxia modification from banoxantrone and atovaquone and track their differential mechanisms of action.

James P B O'ConnorVictoria TessymanRoss A LittleMuhammad BaburDuncan ForsterAyşe LatifSusan CheungGrazyna Lipowska-BhallaGeoff S HigginsMarie-Claude AsselinGeoffrey J M ParkerKaye J Williams
Published in: Cancer research communications (2024)
Oxygen-enhanced MRI (OE-MRI) has shown promise for quantifying and spatially mapping tumor hypoxia, either alone or in combination with perfusion imaging. Previous studies have validated the technique in mouse models and in patients with cancer. Here, we report the first evidence that OE-MRI can track change in tumor oxygenation induced by two drugs designed to modify hypoxia. Mechanism of action of banoxantrone and atovaquone were confirmed using in vitro experiments. Next, in vivo OE-MRI studies were performed in Calu6 and U87 xenograft tumor models, alongside [18F] FAZA PET and immunohistochemistry assays of hypoxia. Neither drug altered tumor size. Banoxantrone reduced OE-MRI hypoxic fraction in Calu6 tumors by 52.5% +/- 12.0% (p=0.008) and in U87 tumors by 29.0% +/- 15.8% (p=0.004) after 3 days treatment. Atovaquone reduced OE-MRI hypoxic fraction in Calu6 tumors by 53.4% +/- 15.3% (p=0.002) after 7 days therapy. PET and immunohistochemistry provided independent validation of the MRI findings. Finally, combined OE-MRI and perfusion imaging showed that hypoxic tissue was converted into necrotic tissue when treated by the hypoxia-activated cytotoxic prodrug banoxantrone, whereas hypoxic tissue became normoxic when treated by atovaquone, an inhibitor of mitochondrial complex III of the electron transport chain. OE-MRI detected and quantified hypoxia reduction induced by two hypoxia-modifying therapies and could distinguish between their differential mechanisms of action. These data support clinical translation of OE-MRI biomarkers in clinical trials of hypoxia-modifying agents, to identify patients demonstrating biological response and to optimize treatment timing and scheduling.
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