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Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers
SIMPLE SUMMARY: The lack of highly specific and sensitive biomarkers for the early detection of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a non-invasive, simple, inexpensive, and easy-to-use approach for cancer screening, characterization of disease progress...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406416/ https://www.ncbi.nlm.nih.gov/pubmed/36010975 http://dx.doi.org/10.3390/cancers14163982 |
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author | Berenguer, Cristina V. Pereira, Ferdinando Pereira, Jorge A. M. Câmara, José S. |
author_facet | Berenguer, Cristina V. Pereira, Ferdinando Pereira, Jorge A. M. Câmara, José S. |
author_sort | Berenguer, Cristina V. |
collection | PubMed |
description | SIMPLE SUMMARY: The lack of highly specific and sensitive biomarkers for the early detection of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a non-invasive, simple, inexpensive, and easy-to-use approach for cancer screening, characterization of disease progression, and follow-up of the treatment’s success. We provide a brief overview of the potential of volatile organic metabolites (VOMs) for the establishment of PCa biomarkers from non-invasive matrices. Endogenous VOMs have been investigated as potential biomarkers since changes in these VOMs can be characteristic of specific disease processes. Recent studies have shown that the conjugation of the prostate-specific antigen (PSA) screening with other methodologies, such as risk calculators, biomarkers, and imaging tests, can attenuate overdiagnosis and under-detection issues. This means that the combination of volatilomics with other methodologies could be extremely valuable for the differentiation of clinical phenotypes in a group of patients, providing more personalized treatments. ABSTRACT: Despite the spectacular advances in molecular medicine, including genomics, proteomics, transcriptomics, lipidomics, and personalized medicine, supported by the discovery of the human genome, prostate cancer (PCa) remains the most frequent malignant tumor and a leading cause of oncological death in men. New methods for prognostic, diagnostic, and therapy evaluation are mainly based on the combination of imaging techniques with other methodologies, such as gene or protein profiling, aimed at improving PCa management and surveillance. However, the lack of highly specific and sensitive biomarkers for its early detection is a major hurdle to this goal. Apart from classical biomarkers, the study of endogenous volatile organic metabolites (VOMs) biosynthesized by different metabolic pathways and found in several biofluids is emerging as an innovative, efficient, accessible, and non-invasive approach to establish the volatilomic biosignature of PCa patients, unravelling potential biomarkers. This review provides a brief overview of the challenges of PCa screening methods and emergent biomarkers. We also focus on the potential of volatilomics for the establishment of PCa biomarkers from non-invasive matrices. |
format | Online Article Text |
id | pubmed-9406416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94064162022-08-26 Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers Berenguer, Cristina V. Pereira, Ferdinando Pereira, Jorge A. M. Câmara, José S. Cancers (Basel) Review SIMPLE SUMMARY: The lack of highly specific and sensitive biomarkers for the early detection of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a non-invasive, simple, inexpensive, and easy-to-use approach for cancer screening, characterization of disease progression, and follow-up of the treatment’s success. We provide a brief overview of the potential of volatile organic metabolites (VOMs) for the establishment of PCa biomarkers from non-invasive matrices. Endogenous VOMs have been investigated as potential biomarkers since changes in these VOMs can be characteristic of specific disease processes. Recent studies have shown that the conjugation of the prostate-specific antigen (PSA) screening with other methodologies, such as risk calculators, biomarkers, and imaging tests, can attenuate overdiagnosis and under-detection issues. This means that the combination of volatilomics with other methodologies could be extremely valuable for the differentiation of clinical phenotypes in a group of patients, providing more personalized treatments. ABSTRACT: Despite the spectacular advances in molecular medicine, including genomics, proteomics, transcriptomics, lipidomics, and personalized medicine, supported by the discovery of the human genome, prostate cancer (PCa) remains the most frequent malignant tumor and a leading cause of oncological death in men. New methods for prognostic, diagnostic, and therapy evaluation are mainly based on the combination of imaging techniques with other methodologies, such as gene or protein profiling, aimed at improving PCa management and surveillance. However, the lack of highly specific and sensitive biomarkers for its early detection is a major hurdle to this goal. Apart from classical biomarkers, the study of endogenous volatile organic metabolites (VOMs) biosynthesized by different metabolic pathways and found in several biofluids is emerging as an innovative, efficient, accessible, and non-invasive approach to establish the volatilomic biosignature of PCa patients, unravelling potential biomarkers. This review provides a brief overview of the challenges of PCa screening methods and emergent biomarkers. We also focus on the potential of volatilomics for the establishment of PCa biomarkers from non-invasive matrices. MDPI 2022-08-17 /pmc/articles/PMC9406416/ /pubmed/36010975 http://dx.doi.org/10.3390/cancers14163982 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Berenguer, Cristina V. Pereira, Ferdinando Pereira, Jorge A. M. Câmara, José S. Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title | Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title_full | Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title_fullStr | Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title_full_unstemmed | Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title_short | Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers |
title_sort | volatilomics: an emerging and promising avenue for the detection of potential prostate cancer biomarkers |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406416/ https://www.ncbi.nlm.nih.gov/pubmed/36010975 http://dx.doi.org/10.3390/cancers14163982 |
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