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Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/96
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dc.contributor.authorSapre, Nikhilen
dc.contributor.authorHong, Matthewen
dc.contributor.authorLewis, Heatheren
dc.contributor.authorCostello, Anthonyen
dc.contributor.authorCorcoran, Niallen
dc.contributor.authorHovens, Christopheren
dc.contributor.otherMacintyre, Geoffen
dc.contributor.otherKowalczyk, Adamen
dc.date2014en
dc.date.accessioned2014-10-08T23:14:01Zen
dc.date.available2014-10-08T23:14:01Zen
dc.date.issued2014-04en
dc.identifier.citationPLoS One. 2014 Apr 4;9(4):e91729. eCollection 2014.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://hdl.handle.net/11434/96en
dc.description.abstractThe purpose of this study was to determine if microRNA profiling of urine and plasma at radical prostatectomy can distinguish potentially lethal from indolent prostate cancer. A panel of microRNAs was profiled in the plasma of 70 patients and the urine of 33 patients collected prior to radical prostatectomy. Expression of microRNAs was correlated to the clinical endpoints at a follow-up time of 3.9 years to identify microRNAs that may predict clinical response after radical prostatectomy.en
dc.subjectProstate Canceren
dc.subjectProstatic Neoplasmsen
dc.subjectMicroRNAsen
dc.subjectBiological Markersen
dc.subjectProstateen
dc.subjectGenetic Testingen
dc.subjectProstatectomyen
dc.subjectAustralian Prostate Cancer Research Epworth, Richmond, Victoria, Australia.-
dc.titleCurated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.en
dc.typeJournal Articleen
dc.typeTexten
dc.identifier.doi10.1371/journal.pone.0091729en
dc.identifier.journaltitlePLoS One (Public Library of Science).en
dc.description.pubmedurihttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976264/en
dc.description.affiliatesDivision of Urology, Department of Surgery, Royal Melbourne Hospital and the University of Melbourne, Parkville, Victoria, Australiaen
dc.description.affiliatesNICTA Victoria Research Laboratory, Department of Electronic and Electrical Engineering, The University of Melbourne, Parkville, Victoria, Australiaen
dc.description.affiliatesDepartment of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australiaen
dc.type.studyortrialValidation Studyen
Appears in Collections:Cancer Services
Epworth Prostate Centre
UroRenal, Vascular

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