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Title: Identification of microRNAs differentially expressed in prostatic secretions of patients with prostate cancer      
dateReleased:
09-27-2013
description:
In this study, we aimed to identify a miRNA expression signature that could be used to distinguish PCa from BPH. We have shown for the first time in the literature the presence of miRNAs in the PSS. We suggest PSS as a powerful non-invasive source for evaluation of prognosis in PCa, since prostate massages can be easily applied during routine examination. Our results showed that certain differentially expressed miRNAs in PSS could be used as diagnostics markers. Prostate secretion samples (PSS) from 23 PCa and 25 benign prostate hyperplasia (BPH) patients were obtained from Urology Department of Bagcilar Educational and Research Hospital (Istanbul). MicroRNA (miRNA) profiling of eight PSS (four from BPH, four from PCa patients) were performed using microarray. Four of significantly deregulated miRNAs were further confirmed using quantitative reverse-transcription PCR (qRT-PCR). Statistical analysis was performed using Student’s t-test. ROC curves were plotted with SPSS-15.0.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-49298
refinement:
raw
alternateIdentifiers:
49298
keywords:
functional genomics
dateModified:
06-03-2014
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-15018
name:
Agilent-031181 Unrestricted_Human_miRNA_V16.0_Microarray 030840
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-49298/E-GEOD-49298.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-49298/E-GEOD-49298.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE49298
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress