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Combined biochemical and biophysical imaging biomarkers for characterization of tumor metabolism and response to therapy

Subject Area Medical Physics, Biomedical Technology
Term from 2017 to 2025
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 391523415
 
Final Report Year 2024

Final Report Abstract

Imaging biomarkers enable a comprehensive characterization of tissue providing functional, physiological, metabolic, cellular and molecular information beyond anatomical structures. For cancer patients, specific non-invasive imaging strategies for early-stage detection, tumor phenotyping and evaluation of response to therapy are not available at a satisfactory level, creating a pressing need for advanced technologies. In this project, I aimed to develop two novel non-invasive imaging techniques to measure extracellular pH and transmembrane water permeability in tumors. First, by using pH imaging, we characterized the acidic tumor microenvironment caused by aberrant metabolism and studied the link to tumor aggressiveness. Second, we tested whether imaging of transmembrane water permeability reports on early stages of cell death, thereby providing an early evaluation technology to detect whether a drug has hit its target before an anatomical reduction in tumor size is recognizable. Specifically, we have advanced current methods for non-invasive MRI pH imaging by introducing hyperpolarized [1,5-13C2]Z-OMPD as a new pH sensor and new MRI acquisition schemes for pH imaging. Faster and more sensitive protocols for transmembrane water exchange MRI measurements in vitro and in vivo have been developed allowing mapping of the apparent exchange rate (AXR). The feasibility for clinical translation of both methods has been demonstrated by AXR measurements in human patients and pH imaging in feline patients on a clinical scanner. Both pH imaging and AXR mapping can help to elucidate tumor biology, allowing to characterize tumor metabolic phenotype and to detect early treatment response non-invasively.

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