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Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS
Proteome analysis of the urine has shown that urine contains disease-specific information for a variety of urogenital system disorders, including prostate cancer (PCa). The aim of this study was to determine the protein components of urine from PCa patients. Urine from 8 patients with clinically and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158146/ https://www.ncbi.nlm.nih.gov/pubmed/25215235 http://dx.doi.org/10.1155/2014/594761 |
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author | Kiprijanovska, Sanja Stavridis, Sotir Stankov, Oliver Komina, Selim Petrusevska, Gordana Polenakovic, Momir Davalieva, Katarina |
author_facet | Kiprijanovska, Sanja Stavridis, Sotir Stankov, Oliver Komina, Selim Petrusevska, Gordana Polenakovic, Momir Davalieva, Katarina |
author_sort | Kiprijanovska, Sanja |
collection | PubMed |
description | Proteome analysis of the urine has shown that urine contains disease-specific information for a variety of urogenital system disorders, including prostate cancer (PCa). The aim of this study was to determine the protein components of urine from PCa patients. Urine from 8 patients with clinically and histologically confirmed PCa was analyzed by conventional 2D PAGE. The MS identification of the most prominent 125 spots from the urine map revealed 45 distinct proteins. According to Gene Ontology, the identified proteins are involved in a variety of biological processes, majority of them are secreted (71%), and half of them are enzymes or transporters. Comparison with the normal urine proteome revealed 11 proteins distinctive for PCa. Using Ingenuity Pathways Analysis, we have found 3 proteins (E3 ubiquitin-protein ligase rififylin, tumor protein D52, and thymidine phosphorylase) associated with cellular growth and proliferation (p = 8.35 × 10(−4) − 3.41 × 10(−2)). The top network of functional associations between 11 proteins was Cell Death and Survival, Cell-To-Cell Signaling and Interaction, and System Development and Function (p = 10(−30)). In summary, we have created an initial proteomic map of PCa patient's urine. The results from this study provide some leads to understand the molecular bases of prostate cancer. |
format | Online Article Text |
id | pubmed-4158146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41581462014-09-11 Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS Kiprijanovska, Sanja Stavridis, Sotir Stankov, Oliver Komina, Selim Petrusevska, Gordana Polenakovic, Momir Davalieva, Katarina Int J Proteomics Research Article Proteome analysis of the urine has shown that urine contains disease-specific information for a variety of urogenital system disorders, including prostate cancer (PCa). The aim of this study was to determine the protein components of urine from PCa patients. Urine from 8 patients with clinically and histologically confirmed PCa was analyzed by conventional 2D PAGE. The MS identification of the most prominent 125 spots from the urine map revealed 45 distinct proteins. According to Gene Ontology, the identified proteins are involved in a variety of biological processes, majority of them are secreted (71%), and half of them are enzymes or transporters. Comparison with the normal urine proteome revealed 11 proteins distinctive for PCa. Using Ingenuity Pathways Analysis, we have found 3 proteins (E3 ubiquitin-protein ligase rififylin, tumor protein D52, and thymidine phosphorylase) associated with cellular growth and proliferation (p = 8.35 × 10(−4) − 3.41 × 10(−2)). The top network of functional associations between 11 proteins was Cell Death and Survival, Cell-To-Cell Signaling and Interaction, and System Development and Function (p = 10(−30)). In summary, we have created an initial proteomic map of PCa patient's urine. The results from this study provide some leads to understand the molecular bases of prostate cancer. Hindawi Publishing Corporation 2014 2014-08-20 /pmc/articles/PMC4158146/ /pubmed/25215235 http://dx.doi.org/10.1155/2014/594761 Text en Copyright © 2014 Sanja Kiprijanovska et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kiprijanovska, Sanja Stavridis, Sotir Stankov, Oliver Komina, Selim Petrusevska, Gordana Polenakovic, Momir Davalieva, Katarina Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title | Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title_full | Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title_fullStr | Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title_full_unstemmed | Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title_short | Mapping and Identification of the Urine Proteome of Prostate Cancer Patients by 2D PAGE/MS |
title_sort | mapping and identification of the urine proteome of prostate cancer patients by 2d page/ms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158146/ https://www.ncbi.nlm.nih.gov/pubmed/25215235 http://dx.doi.org/10.1155/2014/594761 |
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