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

摘要

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.