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Abstract #0550

Predictions of Human Prostate Cancer with MRS Metabolomics from Biopsies After More Than 5-Year Follow-Up

Ella Zhang1, Jiaqi Lu1, Jonathan X. Zhou1, Chin-lee Wu1, Adam S. Feldman1, and Leo L. Cheng1
1Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Prostate, Cancer, Metabolomics, metabolomic imaging, nuclear magnetic resonance, spectroscopy, prostate cancer, MRI-US fusion, biopsy

Motivation: Evaluations of prostate cancer (PCa) with traditional transrectal ultrasound (TRUS) and multiparametric MRI-ultrasound (mpMRI-US) fusion biopsies may produce false-positives or false-negatives, thereby preventing optimal and timely treatments.

Goal(s): To evaluate PCa metabolomics from TRUS and fusion biopsy cores using magnetic resonance spectroscopy (MRS) to identify potential metabolomic biomarkers for better characterization of PCa.

Approach: Using ex vivo MRS, we measured 432 prostate biopsy cores from patients suspicious of PCa between 4/2006 and 10/2018.

Results: MRS metabolomics could differentiate between benign and malignancy, reflect malignant status from benign cores, and allowed for predictions of future PCa from benign biopsies.

Impact: Our results demonstrate that MRS-based metabolomic evaluations have the potential to detect PCa years earlier than standard TRUS and fusion biopic techniques, and improve PCa active surveillance based on prostate biology.

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