Metabolic Analysis Using HR-MAS in Prostate Tissue to Predict Biochemical Recurrence in Prostate Cancer
Year: 2026
Type: article
Study design: Observational Study
Abstract: Objective: In this study, nuclear magnetic resonance (NMR) spectroscopy was used in prostate tissue to gather novel data on biomarkers that could predict biochemical recurrence in prostate cancer. Methods: Prostate tissue cores were collected from individuals who presented to our institution for transrectal biopsy. After acquiring all the spectra using a Bruker Avance III DRX 600 spectrometer, tissue specimens were subjected to routine histology to confirm the presence or absence of prostate cancer. Univariate and multivariate analyses with metabolic and clinical variables were performed to predict biochemical recurrence in men treated for prostate cancer. Results: Data were collected from 70 patients treated for prostate cancer, 16 of whom developed biochemical recurrence within 5 years of treatment, with an average time to diagnosed recurrence of 25.68 ± 15.39 months. Metabolites detected in tissue, such as O-phosphoethanolamine, ethanol, succinate, or ascorbate, together with ISUP grades of 4 and 5, formed a predictive model for biochemical recurrence with an area under the curve (AUC) of 0.88, a specificity of 91%, and a negative predictive value (NPV) of 88%. Conclusion: In prostate cancer patients who have undergone treatment, metabolomic evaluation through HR-MAS can serve as a predictor of biochemical recurrence. Metabolites such as O-phosphoethanolamine, ethanol, succinate, ascorbate, and cysteine are useful in this context. Adding another clinical variable, such as ISUP grades 4 and 5, in prostate histology to these metabolites forms a predictive model capable of predicting biochemical recurrence in prostate cancer. Cite this article as: Panach-Navarrete J, González-Marrachelli V, Morales-Tatay JM, et al. Metabolic analysis using HR-MAS in prostate tissue to predict biochemical recurrence in prostate cancer. Urol Res Pract. 2026;52, doi:10.5152/tud.2026.25102
Source: Urology Research and Practice
Language: English
Subfield: Urology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7221604092