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Panach-Navarrete J, González-Marrachelli V, Morales-Tatay JM, García-Morata F, Sales-Maicas MÁ, Monleón-Salvado D, Martínez-Jabaloyas JM. Metabolic analysis using HR-MAS in prostate tissue for prostate cancer diagnosis. Prostate 2024; 84:549-559. [PMID: 38212952 DOI: 10.1002/pros.24670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/14/2023] [Accepted: 12/27/2023] [Indexed: 01/13/2024]
Abstract
INTRODUCTION In this study we used nuclear magnetic resonance spectroscopy in prostate tissue to provide new data on potential biomarkers of prostate cancer in patients eligible for prostate biopsy. MATERIAL AND METHODS Core needle prostate tissue samples were obtained. After acquiring all the spectra using a Bruker Avance III DRX 600 spectrometer, tissue samples were subjected to routine histology to confirm presence or absence of prostate cancer. Univariate and multivariate analyses with metabolic and clinical variables were performed to predict the occurrence of prostate cancer. RESULTS A total of 201 patients, were included in the study. Of all cores subjected to high-resolution magic angle spinning (HR-MAS) followed by standard histological study, 56 (27.8%) tested positive for carcinoma. According to HR-MAS probe analysis, metabolic pathways such as glycolysis, the Krebs cycle, and the metabolism of different amino acids were associated with presence of prostate cancer. Metabolites detected in tissue such as citrate or glycerol-3-phosphocholine, together with prostate volume and suspicious rectal examination, formed a predictive model for prostate cancer in tissue with an area under the curve of 0.87, a specificity of 94%, a positive predictive value of 80% and a negative predictive value of 84%. CONCLUSIONS Metabolomics using HR-MAS analysis can uncover a specific metabolic fingerprint of prostate cancer in prostate tissue, using a tissue core obtained by transrectal biopsy. This specific fingerprint is based on levels of citrate, glycerol-3-phosphocholine, glycine, carnitine, and 0-phosphocholine. Several clinical variables, such as suspicious digital rectal examination and prostate volume, combined with these metabolites, form a predictive model to diagnose prostate cancer that has shown encouraging results.
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Affiliation(s)
- Jorge Panach-Navarrete
- Department of Urology, University Clinic Hospital of Valencia, Valencia, Spain
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
| | - Vannina González-Marrachelli
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Department of Physiology, Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
| | - José Manuel Morales-Tatay
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Department of Pathology, Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
| | - Francisco García-Morata
- Department of Urology, University Clinic Hospital of Valencia, Valencia, Spain
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
| | - María Ángeles Sales-Maicas
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
- Department of Pathology, University Clinic Hospital of Valencia, Valencia, Spain
| | - Daniel Monleón-Salvado
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Department of Metabolomic, Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
| | - José María Martínez-Jabaloyas
- Department of Urology, University Clinic Hospital of Valencia, Valencia, Spain
- INCLIVA, Health Research Institute, University Clinic Hospital of Valencia, Valencia, Spain
- Facultat de Medicina i Odontologia, Universitat de València, Valencia, Spain
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Mayordomo-Febrer A, López-Murcia M, Morales-Tatay J, Monleón-Salvado D, Pinazo-Durán M. Metabolomics of the aqueous humor in the rat glaucoma model induced by a series of intracamerular sodium hyaluronate injection. Exp Eye Res 2015; 131:84-92. [DOI: 10.1016/j.exer.2014.11.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 10/25/2014] [Accepted: 11/30/2014] [Indexed: 12/16/2022]
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