Joseph Ippolito, M.D., Ph.D.

Assistant Professor
Radiology

Cancer Biology Program
Biochemistry, Biophysics, and Structural Biology Program
Molecular Cell Biology Program
Neurosciences Program

  • 314 362-2928

  • 8131 Radiology

  • 318 Biotechnology Building

  • ippolitoj@wustl.edu

  • https://sites.wustl.edu/ippolitolab/

  • cancer, metabolism, imaging, sex differences, glioblastoma

  • Sex differences in cancer metabolism and prostate cancer imaging

Research Abstract:

My laboratory, centered in cancer metabolism, aims to establish a workflow that merges clinical metabolic imaging (e.g., hyperpolarized MRI, PET, CT), metabolomics, and metabolically-driven therapeutics to develop new paradigms in precision medicine. Our goal is to identify key metabolic pathways that support metabolic compartments in tumors, understand how nutrients are shared among these compartments, and develop / repurpose imaging methods and therapeutics that can target these compartments.

The major thrust of this lab is to perform preclinical, translational, and clinical investigations into sex differences in cancer metabolism. In cancers throughout the body, males not only have a higher incidence, but higher mortality than women. Although the reason for this is not yet clear, sex differences in nutrient uptake and metabolism are seen early in development and are carried into adulthood. My group is identifying specific metabolic pathways that underlie this phenomenon, operating under the hypothesis that sex differences in nutrient uptake and metabolism underlie sex differences in survival. To accomplish this, we are using novel mouse models to study sex differences in brain tumors in combination with stable isotopes, mass spectrometry, NMR, and metabolic PET tracers to understand sex differences in cancer metabolism from both a tumor-centric and body-centric approach. On the clinical end, we are developing ways to assess prognostic sex differences in both tumor and patient metabolism with imaging using PET, MRI, and CT. We have successfully developed new obesity metrics with abdominal CT to predict sex-specific outcomes in renal cell carcinoma patients and are using these methods to identify sex differences in outcomes in patients with other cancers.

Selected Publications:

Last Updated: 10/22/2021 9:49:41 PM

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