Emily Decelle1, Johannes Kurth1, 2, W. Scott McDougal1, Chin-Lee Wu1, Leo L. Cheng1
1Massachusetts General Hospital, Boston, MA, United States; 2Charit Universittsmedizin, Berlin, Germany
Prostate cancer (PCa) is the most frequently diagnosed malignancy in men worldwide. Our study of human PCa metabolomics using intact tissue high resolution magic angle spinning MRS showed the potential to improve sensitivity in PCa detection and characterization, including identifying cancer recurrence status. In these studies, we discovered that PCa metabolomic information could delocalize from cancer glands to surrounding histologically benign structures to generate PCa metabolomic fields. The current study is designed to evaluate the ability of metabolomics to reveal PCa clinical and pathological status through the presence of metabolomic fields.