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Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer
Despite the overall success of prostate specific antigen (PSA) in screening and detection of prostate cancer (PCa), its use has been limited due to the lack of specificity. The principal driving goal currently within PCa research is to identify non-invasive biomarker(s) for early detection of aggres...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4316650/ https://www.ncbi.nlm.nih.gov/pubmed/25653573 http://dx.doi.org/10.1186/s12953-014-0059-9 |
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author | Davalieva, Katarina Kiprijanovska, Sanja Komina, Selim Petrusevska, Gordana Zografska, Natasha Chokrevska Polenakovic, Momir |
author_facet | Davalieva, Katarina Kiprijanovska, Sanja Komina, Selim Petrusevska, Gordana Zografska, Natasha Chokrevska Polenakovic, Momir |
author_sort | Davalieva, Katarina |
collection | PubMed |
description | Despite the overall success of prostate specific antigen (PSA) in screening and detection of prostate cancer (PCa), its use has been limited due to the lack of specificity. The principal driving goal currently within PCa research is to identify non-invasive biomarker(s) for early detection of aggressive tumors with greater sensitivity and specificity than PSA. In this study, we focused on identification of non-invasive biomarkers in urine with higher specificity than PSA. We tested urine samples from PCa and benign prostatic hyperplasia (BPH) patients by 2-D DIGE coupled with MS and bioinformatics analysis. Statistically significant (p < 0.05), 1.8 fold variation or more in abundance, showed 41 spots, corresponding to 23 proteins. The Ingenuity Pathway Analysis showed significant association with the Acute Phase Response Signaling pathway. Nine proteins with differential abundances were included in this pathway: AMBP, APOA1, FGA, FGG, HP, ITIH4, SERPINA1, TF and TTR. The expression pattern of 4 acute phase response proteins differed from the defined expression in the canonical pathway. The urine levels of TF, AMPB and HP were measured by immunoturbidimetry in an independent validation set. The concentration of AMPB in urine was significantly higher in PCa while levels of TF and HP were opposite (p < 0.05). The AUC for the individual proteins ranged from 0.723 to 0.754. The combination of HP and AMBP yielded the highest accuracy (AUC = 0.848), greater than PSA. The proposed biomarker set is quickly quantifiable and economical with potential to improve the sensitivity and specificity of PCa detection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12953-014-0059-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4316650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43166502015-02-05 Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer Davalieva, Katarina Kiprijanovska, Sanja Komina, Selim Petrusevska, Gordana Zografska, Natasha Chokrevska Polenakovic, Momir Proteome Sci Research Article Despite the overall success of prostate specific antigen (PSA) in screening and detection of prostate cancer (PCa), its use has been limited due to the lack of specificity. The principal driving goal currently within PCa research is to identify non-invasive biomarker(s) for early detection of aggressive tumors with greater sensitivity and specificity than PSA. In this study, we focused on identification of non-invasive biomarkers in urine with higher specificity than PSA. We tested urine samples from PCa and benign prostatic hyperplasia (BPH) patients by 2-D DIGE coupled with MS and bioinformatics analysis. Statistically significant (p < 0.05), 1.8 fold variation or more in abundance, showed 41 spots, corresponding to 23 proteins. The Ingenuity Pathway Analysis showed significant association with the Acute Phase Response Signaling pathway. Nine proteins with differential abundances were included in this pathway: AMBP, APOA1, FGA, FGG, HP, ITIH4, SERPINA1, TF and TTR. The expression pattern of 4 acute phase response proteins differed from the defined expression in the canonical pathway. The urine levels of TF, AMPB and HP were measured by immunoturbidimetry in an independent validation set. The concentration of AMPB in urine was significantly higher in PCa while levels of TF and HP were opposite (p < 0.05). The AUC for the individual proteins ranged from 0.723 to 0.754. The combination of HP and AMBP yielded the highest accuracy (AUC = 0.848), greater than PSA. The proposed biomarker set is quickly quantifiable and economical with potential to improve the sensitivity and specificity of PCa detection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12953-014-0059-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-29 /pmc/articles/PMC4316650/ /pubmed/25653573 http://dx.doi.org/10.1186/s12953-014-0059-9 Text en © Davalieva et al.; licensee BIoMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Davalieva, Katarina Kiprijanovska, Sanja Komina, Selim Petrusevska, Gordana Zografska, Natasha Chokrevska Polenakovic, Momir Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title | Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title_full | Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title_fullStr | Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title_full_unstemmed | Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title_short | Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
title_sort | proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4316650/ https://www.ncbi.nlm.nih.gov/pubmed/25653573 http://dx.doi.org/10.1186/s12953-014-0059-9 |
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