Abstract #3907

Exploring Intratumoral Heterogeneity of Lipid Metabolism in Clear Cell Renal Cell Carcinoma with Dixon-based MRI

Yue Zhang¹, Payal Kapur^2,3,4, Jin Ye⁵, Qing Yuan¹, Ananth Madhuranthakam^1,6, Ivan Dimitrov⁷, Yin Xi¹, Takeshi Yokoo^1,6, Jeffrey Cadeddu^1,3, Vitaly Margulis³, Andrea Pavía-Jiménez^4,8, James Brugarolas^4,8,9, Robert E. Lenkinski^1,6, and Ivan Pedrosa^1,4,6

¹Radiology, UT Southwestern Medical Center, Dallas, TX, United States, ²Pathology, UT Southwestern Medical Center, Dallas, TX, United States, ³Urology, UT Southwestern Medical Center, Dallas, TX, United States, ⁴Kidney Cancer Program, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States, ⁵Molecular Genetics, UT Southwestern Medical Center, Dallas, TX, United States, ⁶Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, ⁷Philips Medical Systems, Cleveland, OH, United States, ⁸Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, ⁹Developmental Biology, UT Southwestern Medical Center, Dallas, TX, United States

We investigated the correlation between in vivo fat fraction (FF) measurements by Dixon-based MRI in clear cell renal cell carcinoma (ccRCC) and both intracellular fat accumulation at histopathology and lipidomic profile in the same tumor by mass spectrometry. Quantitative targeted fat fraction measures were obtained from representative areas within each tumor and correlated with the percentage of cells containing fat in fresh tissue samples from the same location of the tumor. Lipidomic analysis of additional tissue samples was performed. Quantitative FF measures correlated with lipid accumulation in ccRCC and provide a tool for assessing heterogeneous metabolic pathways in these tumors.

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