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Int. J. Mol. Sci. 2016, 17(5), 773; doi:10.3390/ijms17050773

Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis

Institute of Statistics, National Chiao Tung University, Hsinchu 30010, Taiwan
Academic Editors: Y-h. Taguchi and Constantinos Stathopoulos
Received: 23 March 2016 / Revised: 13 May 2016 / Accepted: 16 May 2016 / Published: 19 May 2016
(This article belongs to the Special Issue MicroRNA Regulation)
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Abstract

MicroRNAs (miRNAs) are shown to be involved in the initiation and progression of cancers in the literature, and the expression of miRNAs is used as an important cancer prognostic tool. The aim of this study is to predict high-confidence miRNA biomarkers for cancer. We adopt a method that combines miRNA phylogenetic structure and miRNA microarray data analysis to discover high-confidence miRNA biomarkers for colon, prostate, pancreatic, lung, breast, bladder and kidney cancers. There are 53 miRNAs selected through this method that either have potential to involve a single cancer’s development or to involve several cancers’ development. These miRNAs can be used as high-confidence miRNA biomarkers of these seven investigated cancers for further experiment validation. miR-17, miR-20, miR-106a, miR-106b, miR-92, miR-25, miR-16, miR-195 and miR-143 are selected to involve a single cancer’s development in these seven cancers. They have the potential to be useful miRNA biomarkers when the result can be confirmed by experiments. View Full-Text
Keywords: cancer; microarray; microRNA; sequence; phylogenetic tree cancer; microarray; microRNA; sequence; phylogenetic tree
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Wang, H. Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis. Int. J. Mol. Sci. 2016, 17, 773.

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