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Abstract #0812

Establishment of Patient-Derived Models of Renal Cell Carcinoma to Study Metabolism and Develop Relevant Clinical Biomarkers

Renuka Sriram1, Kayvan R. Keshari1, Mark Van Criekinge1, John Kurhanewicz1, David M. Wilson1, Donna M. Peehl2, Zhen J. Wang1

1University of California, San Francisco, San Francisco, CA, United States; 2Stanford University, Palo Alto, CA, United States

Renal cell carcinomas (RCCs) are a heterogeneous group of tumors with a wide range of aggressiveness. There is a current lack of noninvasive biomarkers that can confidently predict the behavior of RCCs to guide treatment selection and to monitor treatment response. Development of clinically relevant biomarkers of RCC aggressiveness and response to novel therapeutics requires robust models that recapitulate the human situation. The purpose of this study is to establish both an ex vivo and an in vivo model of RCCs using patient-derived tissue slices for metabolism studies in conjunction with hyperpolarized (HP) 13C MR.