MicroRNA expression in human endometrial adenocarcinoma

• Published in: Cancer cell international Vol. 14; no. 1; p. 88
• Main Authors: Jurcevic, Sanja, Olsson, Björn, Klinga-Levan, Karin
• Format: Journal Article
• Language: English
• Published: England BioMed Central 14-11-2014; BioMed Central Ltd
• Subjects: Bioinformatics; Bioinformatik; Biology; Biomarkers; Biomedicin; Biomedicine; Data analysis; Endogenous control genes; Endometrial adenocarcinoma; Endometrial cancer; Gene expression; Infection Biology; Infektionsbiologi; Medical prognosis; Medical sciences; Medicin; MicroRNA; MicroRNAs; Primary Research; Quantitative polymerase chain reaction; Software; Studies; Uterine cancer; Women; Quantitative polymerase chain reaction; Endometrial adenocarcinoma; MicroRNA
• ISSN: 1475-2867; 1475-2867
• DOI: 10.1186/s12935-014-0088-6

MicroRNAs are small non-coding RNAs that play crucial roles in the pathogenesis of different cancer types. The aim of this study was to identify miRNAs that are differentially expressed in endometrial adenocarcinoma compared to healthy endometrium. These miRNAs can potentially be used to develop a panel for classification and prognosis in order to better predict the progression of the disease and facilitate the choice of treatment strategy.
Formalin fixed paraffin embedded endometrial tissue samples were collected from the Örebro university hospital. QPCR was used to quantify the expression levels of 742 miRNAs in 30 malignant and 20 normal endometrium samples. After normalization of the qPCR data, miRNAs differing significantly in expression between normal and cancer samples were identified, and hierarchical clustering analysis was used to identify groups of miRNAs with coordinated expression profiles.
In comparisons between endometrial adenocarcinoma and normal endometrium samples 138 miRNAs were found to be significantly differentially expressed (p < 0.001) among which 112 miRNAs have not been previous reported for endometrial adenocarcinoma.
Our study shows that several miRNAs are differentially expressed in endometrial adenocarcinoma. These identified miRNA hold great potential as target for classification and prognosis of this disease. Further analysis of the differentially expressed miRNA and their target genes will help to derive new biomarkers that can be used for classification and prognosis of endometrial adenocarcinoma.