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Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer

Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benig...

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Autores principales: Koike, Alexsandro, Robles, Brunna Emanuella França, da Silva Bonacini, Ana Gabriela, de Alcantara, Camila Cataldi, Reiche, Edna Maria Vissoci, Dichi, Isaias, Maes, Michael, Cecchini, Rubens, Simão, Andréa Name Colado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272452/
https://www.ncbi.nlm.nih.gov/pubmed/32499542
http://dx.doi.org/10.1038/s41598-020-65918-w
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author Koike, Alexsandro
Robles, Brunna Emanuella França
da Silva Bonacini, Ana Gabriela
de Alcantara, Camila Cataldi
Reiche, Edna Maria Vissoci
Dichi, Isaias
Maes, Michael
Cecchini, Rubens
Simão, Andréa Name Colado
author_facet Koike, Alexsandro
Robles, Brunna Emanuella França
da Silva Bonacini, Ana Gabriela
de Alcantara, Camila Cataldi
Reiche, Edna Maria Vissoci
Dichi, Isaias
Maes, Michael
Cecchini, Rubens
Simão, Andréa Name Colado
author_sort Koike, Alexsandro
collection PubMed
description Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benign prostate hyperplasia (BPH), and 64 healthy controls (HC) and assayed plasma prostate-specific antigen (PSA), protein thiol (−SH) groups, lipid hydroperoxides, carbonyl proteins (PCB), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant parameter (TRAP). -SH groups were significantly and inversely associated with PSA levels. PCa was characterized by lowered -SH groups and red blood cell TRAP levels, and higher PSA, AOPP and PCB levels as compared with BPH and HC. Support vector machine with 10-fold cross-validation showed that PSA values together with -SH groups, PCB and AOPP yielded a cross-validation accuracy of 96.34% for the differentiation of PCa from BPH and HC. The area under the ROC curve using PSA and -SH differentiating PCa from BPH and controls was 0.945. Moreover, lowered -SH, but not PSA, are associated with PCa metastasis and progression. Inflammatory biomarkers were not associated with PCa or BPH. PCa, its progression and metastatic PCa are characterized by lowered antioxidant defenses, especially lowered thiol groups, and increased oxidative stress toxicity, suggesting that these processes play a key role in the pathophysiology of PCa. An algorithm based on -SH and PSA values may be used to differentiate patients with PCa from those with BPH and controls.
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spelling pubmed-72724522020-06-05 Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer Koike, Alexsandro Robles, Brunna Emanuella França da Silva Bonacini, Ana Gabriela de Alcantara, Camila Cataldi Reiche, Edna Maria Vissoci Dichi, Isaias Maes, Michael Cecchini, Rubens Simão, Andréa Name Colado Sci Rep Article Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benign prostate hyperplasia (BPH), and 64 healthy controls (HC) and assayed plasma prostate-specific antigen (PSA), protein thiol (−SH) groups, lipid hydroperoxides, carbonyl proteins (PCB), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant parameter (TRAP). -SH groups were significantly and inversely associated with PSA levels. PCa was characterized by lowered -SH groups and red blood cell TRAP levels, and higher PSA, AOPP and PCB levels as compared with BPH and HC. Support vector machine with 10-fold cross-validation showed that PSA values together with -SH groups, PCB and AOPP yielded a cross-validation accuracy of 96.34% for the differentiation of PCa from BPH and HC. The area under the ROC curve using PSA and -SH differentiating PCa from BPH and controls was 0.945. Moreover, lowered -SH, but not PSA, are associated with PCa metastasis and progression. Inflammatory biomarkers were not associated with PCa or BPH. PCa, its progression and metastatic PCa are characterized by lowered antioxidant defenses, especially lowered thiol groups, and increased oxidative stress toxicity, suggesting that these processes play a key role in the pathophysiology of PCa. An algorithm based on -SH and PSA values may be used to differentiate patients with PCa from those with BPH and controls. Nature Publishing Group UK 2020-06-04 /pmc/articles/PMC7272452/ /pubmed/32499542 http://dx.doi.org/10.1038/s41598-020-65918-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Koike, Alexsandro
Robles, Brunna Emanuella França
da Silva Bonacini, Ana Gabriela
de Alcantara, Camila Cataldi
Reiche, Edna Maria Vissoci
Dichi, Isaias
Maes, Michael
Cecchini, Rubens
Simão, Andréa Name Colado
Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title_full Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title_fullStr Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title_full_unstemmed Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title_short Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer
title_sort thiol groups as a biomarker for the diagnosis and prognosis of prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272452/
https://www.ncbi.nlm.nih.gov/pubmed/32499542
http://dx.doi.org/10.1038/s41598-020-65918-w
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