Unravel common comprising miRNAs in various types of cancers using comprehensive data-mining

Introduction & Objectives: MicroRNAs (miRNA) are small non-coding RNAs that act as gene expression regulators in cells. Their crucial roles in the promotion of cancer have been established. MiRNAs could serve as potential biomarkers to accurately prognostic or providing a more efficient route for treatment.Materials & Methods: Literature mining was performed using the Keywords “miRNAs” and “Cancer” among articles deposited in Pubmed. The differential expression of various miRNAs in different cancers was collected. Then the common miRNAs among cancers were identified. MiRNA-Target gene regulatory network was constructed using Cytoscape. CytoHubba plugin was used to find hub miRNAs. Functional annotation analysis was performed using the DAVID tool.Results: Data-mining among 28 different kinds of cancer lead to collect 18 miRNAs that were deregulated in different cancer cells. Target genes of collected miRNAs were identified through constructing the regulatory network and miRNAs that had the most targets considered as hub including hsa-miR-17-5p, hsa-miR-320a, and hsa-miR-375 which had 319, 151, and 133 target genes respectively. Functional enrichment analysis of obtained miRNAs proved their role in cancer-related processes including apoptotic process, angiogenesis, and cell cycle. Based on evidence along with our obtained results, hsa-miR-320a, and hsa-miR-375 could consider as tumor-suppressor and hsa-miR-17-5p as oncomiR. Furthermore, the target discovery results revealed that these miRNAs play crucial roles through targeting genes involved in pathways such as Pancreatic cancer (map05212), Colorectal cancer (map05210), and Non-small cell lung cancer (map05223).Conclusion: Obtained results of this comprehensive data-mining lead to identifying the most important miRNAs that are common among various cancer and act as key elements in cancer progression. Functional analysis demonstrated that hsa-miR-17-5p, hsa-miR-320a, and hsa-miR-375 are the most important miRNAs that could serve as accurate prognostic biomarkers for various cancers.

کلیدواژه ها:

Cancer ، microRNA ، Biomarker ، Data-mining