The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.

Urine has emerged as an attractive biofluid for the noninvasive detection of prostate cancer (PCa). There is a strong imperative to discover candidate urinary markers for the clinical diagnosis and prognosis of PCa. The rising flood of various omics profiles presents immense opportunities for the id...

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Autores principales:	Min Chen, Kai Wang, Liang Zhang, Cheng Li, Yongliang Yang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6a64d44afb814a15b9f3a32d71896ddf
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spelling	oai:doaj.org-article:6a64d44afb814a15b9f3a32d71896ddf2021-11-18T07:31:58ZThe discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.1932-620310.1371/journal.pone.0028552https://doaj.org/article/6a64d44afb814a15b9f3a32d71896ddf2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22194848/?tool=EBIhttps://doaj.org/toc/1932-6203Urine has emerged as an attractive biofluid for the noninvasive detection of prostate cancer (PCa). There is a strong imperative to discover candidate urinary markers for the clinical diagnosis and prognosis of PCa. The rising flood of various omics profiles presents immense opportunities for the identification of prospective biomarkers. Here we present a simple and efficient strategy to derive candidate urine markers for prostate tumor by mining cancer genomic profiles from public databases. Prostate, bladder and kidney are three major tissues from which cellular matters could be released into urine. To identify urinary markers specific for PCa, upregulated entities that might be shed in exosomes of bladder cancer and kidney cancer are first excluded. Through the ontology-based filtering and further assessment, a reduced list of 19 entities encoding urinary proteins was derived as putative PCa markers. Among them, we have found 10 entities closely associated with the process of tumor cell growth and development by pathway enrichment analysis. Further, using the 10 entities as seeds, we have constructed a protein-protein interaction (PPI) subnetwork and suggested a few urine markers as preferred prognostic markers to monitor the invasion and progression of PCa. Our approach is amenable to discover and prioritize potential markers present in a variety of body fluids for a spectrum of human diseases.Min ChenKai WangLiang ZhangCheng LiYongliang YangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 12, p e28552 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Min Chen Kai Wang Liang Zhang Cheng Li Yongliang Yang The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
description	Urine has emerged as an attractive biofluid for the noninvasive detection of prostate cancer (PCa). There is a strong imperative to discover candidate urinary markers for the clinical diagnosis and prognosis of PCa. The rising flood of various omics profiles presents immense opportunities for the identification of prospective biomarkers. Here we present a simple and efficient strategy to derive candidate urine markers for prostate tumor by mining cancer genomic profiles from public databases. Prostate, bladder and kidney are three major tissues from which cellular matters could be released into urine. To identify urinary markers specific for PCa, upregulated entities that might be shed in exosomes of bladder cancer and kidney cancer are first excluded. Through the ontology-based filtering and further assessment, a reduced list of 19 entities encoding urinary proteins was derived as putative PCa markers. Among them, we have found 10 entities closely associated with the process of tumor cell growth and development by pathway enrichment analysis. Further, using the 10 entities as seeds, we have constructed a protein-protein interaction (PPI) subnetwork and suggested a few urine markers as preferred prognostic markers to monitor the invasion and progression of PCa. Our approach is amenable to discover and prioritize potential markers present in a variety of body fluids for a spectrum of human diseases.
format	article
author	Min Chen Kai Wang Liang Zhang Cheng Li Yongliang Yang
author_facet	Min Chen Kai Wang Liang Zhang Cheng Li Yongliang Yang
author_sort	Min Chen
title	The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
title_short	The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
title_full	The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
title_fullStr	The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
title_full_unstemmed	The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
title_sort	discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/6a64d44afb814a15b9f3a32d71896ddf
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The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.

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