| Title: | Identification of a biomarker panel for improvement of prostate cancer diagnosis by volatile metabolic profiling of urine |
| Author(s): | Lima AR; Pinto J; Azevedo AI; Barros-Silva D; Jeronimo C; Henrique R; de Lourdes Bastos M; Guedes de Pinho P; Carvalho M; |
| Address: | "UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal. ritacmlima@hotmail.com. UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal. Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal. Department of Pathology and Molecular Immunology-Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal. Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal. UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal. pguedes@ff.up.pt. UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal. mcarv@ufp.edu.pt. UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Porto, Portugal. mcarv@ufp.edu.pt" |
| DOI: | 10.1038/s41416-019-0585-4 |
| ISSN/ISBN: | 1532-1827 (Electronic) 0007-0920 (Print) 0007-0920 (Linking) |
| Abstract: | "BACKGROUND: The lack of sensitive and specific biomarkers for the early detection of prostate cancer (PCa) is a major hurdle to improve patient management. METHODS: A metabolomics approach based on GC-MS was used to investigate the performance of volatile organic compounds (VOCs) in general and, more specifically, volatile carbonyl compounds (VCCs) present in urine as potential markers for PCa detection. RESULTS: Results showed that PCa patients (n = 40) can be differentiated from cancer-free subjects (n = 42) based on their urinary volatile profile in both VOCs and VCCs models, unveiling significant differences in the levels of several metabolites. The models constructed were further validated using an external validation set (n = 18 PCa and n = 18 controls) to evaluate sensitivity, specificity and accuracy of the urinary volatile profile to discriminate PCa from controls. The VOCs model disclosed 78% sensitivity, 94% specificity and 86% accuracy, whereas the VCCs model achieved the same sensitivity, a specificity of 100% and an accuracy of 89%. Our findings unveil a panel of 6 volatile compounds significantly altered in PCa patients' urine samples that was able to identify PCa, with a sensitivity of 89%, specificity of 83%, and accuracy of 86%. CONCLUSIONS: It is disclosed a biomarker panel with potential to be used as a non-invasive diagnostic tool for PCa" |
| Keywords: | "Aged Biomarkers, Tumor/metabolism/*urine *Early Detection of Cancer Gas Chromatography-Mass Spectrometry Humans Male Metabolomics/methods Middle Aged Prostate/metabolism/pathology Prostatic Neoplasms/*diagnosis/metabolism/pathology/urine Volatile Organic;" |
| Notes: | "MedlineLima, Ana Rita Pinto, Joana Azevedo, Ana Isabel Barros-Silva, Daniela Jeronimo, Carmen Henrique, Rui de Lourdes Bastos, Maria Guedes de Pinho, Paula Carvalho, Marcia eng Research Support, Non-U.S. Gov't England 2019/10/08 Br J Cancer. 2019 Nov; 121(10):857-868. doi: 10.1038/s41416-019-0585-4. Epub 2019 Oct 7" |
