Metabolic Analysis Using HR-MAS in Prostate Tissue to Predict Biochemical Recurrence in Prostate Cancer
7 affiliations
- 1Department of Urology, University Clinic Hospital of Valencia, INCLIVA, Health Research Institute, University of Valencia Faculty of Medicine and Odontology, Valencia, Spain
- 2Department of Physiology, University of Valencia Faculty of Medicine, Valencia, Spain
- 3Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain
- 4Department of Pathology, University of Valencia Faculty of Medicine and Odontology, Valencia, Spain
- 5Research Unit, INCLIVA Health Research Institute, Valencia, Spain
- 6Department of Pathology, University Clinic Hospital of Valencia, INCLIVA, Health Research Institute, University of Valencia Faculty of Medicine and Odontology, Valencia, Spain
- 7Department of Metabolomic, University of Valencia, Valencia, Spain
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.
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BibTeX
@article{panachnavarrete2026metabolic,
title = {{Metabolic Analysis Using HR-MAS in Prostate Tissue to Predict Biochemical Recurrence in Prostate Cancer}},
author = {Jorge Panach-Navarrete and Vannina González-Marrachelli and José Manuel Morales-Tatay and Francisco García-Morata and María Ángeles Sales-Maicas and Daniel Monleón-Salvado and José María Martínez Jabaloyas},
journal = {Urology Research and Practice},
year = {2026},
month = oct,
doi = {10.5152/tud.2026.25102},
url = {https://doi.org/10.5152/tud.2026.25102},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Metabolic Analysis Using HR-MAS in Prostate Tissue to Predict Biochemical Recurrence in Prostate Cancer
AU - Jorge Panach-Navarrete
AU - Vannina González-Marrachelli
AU - José Manuel Morales-Tatay
AU - Francisco García-Morata
AU - María Ángeles Sales-Maicas
AU - Daniel Monleón-Salvado
AU - José María Martínez Jabaloyas
PY - 2026
DA - 2026/10/13
JO - Urology Research and Practice
DO - 10.5152/tud.2026.25102
UR - https://doi.org/10.5152/tud.2026.25102
AB - 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.
SN - 2980-1478
ER -