University of Carthage, Tunisia
Title: Expression patterns and bioinformatic analysis of miR-1260a and miR -1274a in Prostate Cancer Tunisian patients
Laboratory of Protein Engineering and Bio-active Molecules, National Institute of Applied Science and Technology - University of Carthage, Tunisia
Currently, microRNAs (miRs) represent great biomarkers in cancer due to their stability and their potential role in diagnosis, prognosis and therapy. This study aims to evaluate the expression levels of miRs-1260 and -1274a in prostate cancer (PC) samples and to identify their eventual targets by using bioinformatic analysis. In this project, we evaluated the expression status of miRs-1260 and -1274a in 86 PC patients and 19 controls by using real-time quantitative PCR and 2-ΔΔCt method. Moreover, we retrieved validated and predicted targets of miRs from several datasets by using the “multiMir” R/Bioconductor package. We have found that miRs-1260 and 1274a were over-expressed in PC patients compared to controls (p<0.0001). Moreover ROC curve for miRs-1260 and 1274a showed a good performance to distinguish between controls group and PC samples with an area under the ROC curve (AUC) of 0.897 and 0.784 respectively. However no significant association could be shown between these two miRs and clinical parameters. Finally, a bioinformatic analysis revealed the association between these two miRs and several targets implicated in prostate cancer initiation pathways. In conclusion our data suggest that miRs-1260 and -1274a might be eventual diagnostic biomarkers for PC.