Prognostic significance of deregulated microRNAs in uveal melanomas

• Published in: Molecular medicine reports Vol. 19; no. 4; pp. 2599 - 2610
• Main Authors: Falzone, Luca, Romano, Giovanni L, Salemi, Rossella, Bucolo, Claudio, Tomasello, Barbara, Lupo, Gabriella, Anfuso, Carmelina D, Spandidos, Demetrios A, Libra, Massimo, Candido, Saverio
• Format: Journal Article
• Language: English
• Published: Greece Spandidos Publications 01-04-2019; Spandidos Publications UK Ltd; D.A. Spandidos
• Subjects: Apoptosis; Bioinformatics; Biological markers; Biomarkers; Biomarkers, Tumor; Cancer; Cell cycle; Computational biology; Computational Biology - methods; Databases, Genetic; Datasets; Diagnosis; Drug development; Drug screening; Epigenetic inheritance; Epigenetics; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene Ontology; Genes; Genetic aspects; Genomes; Humans; Kaplan-Meier Estimate; Kinases; Lung cancer; MAP kinase; Medical prognosis; Melanoma; Melanoma - genetics; Melanoma - metabolism; Melanoma - mortality; Melanoma - pathology; MicroRNA; MicroRNAs; MicroRNAs - genetics; miRNA; Mitogens; Mutation; Neoplasm Staging; Prognosis; Protein kinase; Protein kinases; Regulation; Risk groups; RNA Interference; Signal Transduction; Tumors; Uveal Neoplasms - genetics; Uveal Neoplasms - metabolism; Uveal Neoplasms - mortality; Uveal Neoplasms - pathology
• ISSN: 1791-2997; 1791-3004
• DOI: 10.3892/mmr.2019.9949

Uveal melanoma (UM) represents the most frequent primary tumor of the eye. Despite the development of new drugs and screening programs, the prognosis of patients with UM remains poor and no effective prognostic biomarkers are yet able to identify high‑risk patients. Therefore, in the present study, microRNA (miRNA or miR) expression data, contained in the TCGA UM (UVM) database, were analyzed in order to identify a set of miRNAs with prognostic significance to be used as biomarkers in clinical practice. Patients were stratified into 2 groups, including tumor stage (high‑grade vs. low‑grade) and status (deceased vs. alive); differential analyses of miRNA expression among these groups were performed. A total of 20 deregulated miRNAs for each group were identified. In total 7 miRNAs were common between the groups. The majority of common miRNAs belonged to the miR‑506‑514 cluster, known to be involved in UM development. The prognostic value of the 20 selected miRNAs related to tumor stage was assessed. The deregulation of 12 miRNAs (6 upregulated and 6 downregulated) was associated with a worse prognosis of patients with UM. Subsequently, miRCancerdb and microRNA Data Integration Portal bioinformatics tools were used to identify a set of genes associated with the 20 miRNAs and to establish their interaction levels. By this approach, 53 different negatively and positively associated genes were identified. Finally, DIANA‑mirPath prediction pathway and Gene Ontology enrichment analyses were performed on the lists of genes previously generated to establish their functional involvement in biological processes and molecular pathways. All the miRNAs and genes were involved in molecular pathways usually altered in cancer, including the mitogen‑activated protein kinase (MAPK) pathway. Overall, the findings of the presents study demonstrated that the miRNAs of the miR‑506‑514 cluster, hsa‑miR‑592 and hsa‑miR‑199a‑5p were the most deregulated miRNAs in patients with high‑grade disease compared to those with low‑grade disease and were strictly related to the overall survival (OS) of the patients. However, further in vitro and translational approaches are required to validate these preliminary findings.