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Abstract #1148

In Vivo Fluorine Metabolic Imaging (FMI) of Cancer

Dan Cohen1, Libi Saad1, Liat Avram2, Hyla Allouche-Arnon1, and Amnon Bar-Shir1
1Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, Israel, 2Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel

Synopsis

Keywords: Biology, Models, Methods, Cancer, oncology

Motivation: Instead of focusing on the heavily-studied glycolysis in cancer, novel imaging tools that report on unexplored metabolic pathways are in need to enrich oncologic molecular imaging.

Goal(s): We developed Fluorine Metabolic Imaging (FMI), a novel MRI-based metabolic imaging platform, which utilizes 3FDGal to concurrently report and map sugar oxidation and reduction by cancer cells.

Approach: We in vitro exposed different cell lines and in vivo exposed tumor model mice to 3FDGal, followed by 19F-NMR and MRI experiments.

Results: FMI successfully differentiated cancer types based on their unique 3FDGal metabolic fingerprints, revealing distinct metabolic behaviors irrespective to glycolytic flux.

Impact: FMI with 3FDGal as an 19F-MRI tracer represents a revolutionary shift in oncologic imaging. By concurrently mapping sugar oxidizing/reducing enzymes, tumor categorization becomes available at the molecular level, regardless of glycolysis-dependence, opening up new frontiers in cancer research and detection.

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