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Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer

Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overt...

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Detalles Bibliográficos
Autores principales: Flores-Morales, Amilcar, Iglesias-Gato, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674010/
https://www.ncbi.nlm.nih.gov/pubmed/29164064
http://dx.doi.org/10.3389/fonc.2017.00267
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author Flores-Morales, Amilcar
Iglesias-Gato, Diego
author_facet Flores-Morales, Amilcar
Iglesias-Gato, Diego
author_sort Flores-Morales, Amilcar
collection PubMed
description Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa.
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spelling pubmed-56740102017-11-21 Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer Flores-Morales, Amilcar Iglesias-Gato, Diego Front Oncol Oncology Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa. Frontiers Media S.A. 2017-11-07 /pmc/articles/PMC5674010/ /pubmed/29164064 http://dx.doi.org/10.3389/fonc.2017.00267 Text en Copyright © 2017 Flores-Morales and Iglesias-Gato. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Flores-Morales, Amilcar
Iglesias-Gato, Diego
Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title_full Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title_fullStr Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title_full_unstemmed Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title_short Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer
title_sort quantitative mass spectrometry-based proteomic profiling for precision medicine in prostate cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674010/
https://www.ncbi.nlm.nih.gov/pubmed/29164064
http://dx.doi.org/10.3389/fonc.2017.00267
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