• The bioinformatics role of Mir-203 in the PI3K / AKT / MTOR / ERK signaling pathway involved in prostate tumorigenesis
  • Nasrin Ghorbani,1,* Narges Dastmalchi,2 Nasim Rahimi Farsi,3
    1. University college of Nabi Akram,Tabriz , Iran
    2. University college of Nabi Akram,Tabriz , Iran
    3. University college of Nabi Akram,Tabriz , Iran


  • Introduction: The prostate is a small gland located below the bladder and covers the upper part of the urethra. Prostate cancer is the most common adenocarcinoma of men in the United States and the fourth most common cancer in the Iranian male population. MicroRNAs are small single-stranded RNAs that, by degrading the target strand or inhibiting its translation, play a key role in regulating the post-transcription of multiple biological processes and molecular pathways involved in cancer. The pathway is regulated by microRNAs and eventually causes cancer; Studies over the years have shown that miR-203 has been shown to increase its expression by acting on its target genes in prostate cancer, leading to disruption of the intracellular signaling pathway and metastasis to other tissues Followed. Therefore, the aim of this study was to bioinformatically evaluate the role of miR-203-3p and miR-203-5p and predict its role in the intracellular signaling pathways of PI3K / AKT / MAPK / ERK in the development of prostate cancer, as a biomaker. The diagnosis / prognosis is examined.
  • Methods: In this study, using bioinformatics algorithms, first to investigate the role of microRNA-203 in prostate cancer, to look for changes in the expression of microRNA-203 in this disease at OncomiR site and then to investigate the role of microRNA-203 in pathways Interfering signaling in the pathogenesis of prostate cancer, miR-203 is examined in the bioinformatics site mirPath v.3. Then, by entering the full name of the microRNA-203 in the window related to the KEGG database and selecting the TarBase V.7 algorithm, we examine the molecular paths and the thermal map of the miR-203. Finally, to ensure the accuracy of the results and prevent false positive results, 11 known online gene target prediction databases are used in the miRWalk 0.2 database, and finally the results of mir-203 are used using the DIANA TOLLS-miRPath v database. .3 is shown. . Data analysis will be scored using the results extracted from the databases and the significance of Pvalue <0.05 will be considered by Mann-Whitney test.
  • Results: In the present study, several bioinformatics databases were investigated to predict miR-203 in prostate cancer in order to initially predict the possible interaction of genes and pathways involved with miRNAs, which reduced costs and wasted time.
  • Conclusion: Highly sensitive bioinformatic approaches were used to predict miR-203 and showed the value of miR-203-3p and miR-203-5p as a diagnostic marker in prostate cancer with further studies and molecular evaluation in the pathways leading to prostate cancer. It can be used as a diagnostic target in the detection and diagnosis of prostate cancer.
  • Keywords: cancer-algorithm-parastate