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The microRNAs (miRNAs) negatively regulate the stability and translation of target messenger RNAs by selectively binding. It has been implicated in diverse processes such as cellular differentiation, cell-cycle control, apoptosis, and carcinogenesis. Examination of tumor-specific miRNA expression profiles has revealed wide spread dysregulation of these molecules in diverse cancers. The available genomic bulk evidences were extracted from The Cancer Genome Atlas by using IluminaGA_miRNASeq platform in human breast cancer samples. After mining collected data, group of each miRNA ID was analyzed through five D/Bs (mirWalk, miranda, mirDB, RNA22, and TargetScan) on predicted and validated miRNA targets. Oncogenes known to have a high correlation with breast cancer ( C-myc, HER2, cyclin D-1, N-RAS, FGF-4, FGF-3, BRCA1 , and BRCA2 ) are subject in this study to select their relevant miRNAs. Function of miRNA regulation will be essential to achieve a complete understanding of carcinogenesis and these miRNAs would be potential target for breast cancer prevention.

Data mining of micrornas in breast carcinogenesis which may be a potential target for cancer prevention