Abstract #3569
Quantitative Evaluation of Pyruvate Uptake and Metabolism in Cells using Mass Spectrometry and Hyperpolarized 13C NMR
Collin J. Harlan1,2, Joshua S. Niedzielski3, Keith A. Michel 2, Yunyun Chen4, Gary V. Martinez2, Philip L. Lorenzi5, Lin Tan5, Matthew E. Merritt6, Mukundan Ragavan6, Vlad C. Sandulache7, Stephen Y. Lai4,8,9, and James A. Bankson2
1The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States, 2Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 5Department of Bioinformatics and Computational Biology and The Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 6Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States, 7Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, TX, United States, 8Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 9Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
Synopsis
Metabolic imaging of hyperpolarized pyruvate can provide new insight into cancer progression and therapeutic response. Pharmacokinetic modeling can be used to determine kPL, the apparent rate constant for conversion of hyperpolarized pyruvate into lactate. Quantitative evaluation of signal evolution in vivo can be challenging due to nonstationary signal and multiple barriers between the intravascular precursor and its intracellular conversion into lactate. In this work, we evaluated intracellular kPL using suspensions of anaplastic thyroid cancer and prostate cancer cells. A pharmacokinetic model with two physical compartments and two chemical pools was utilized for quantitative analysis.
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