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KMID : 1007520160250000143
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Food Science and Biotechnology
2016 Volume.25 No. 0 p.143 ~ p.151
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Data Mining of MicroRNAs in Breast Carcinogenesis Which May Be a Potential Target for Cancer Prevention
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Kang Jin-Wook
Kim Min-Ji
Baek Hyun-Ah
Lee Jeong-Sang
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Abstract
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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.
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KEYWORD
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microRNA, breast cancer, data mining, chemoprevention, target
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