標題: Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis
作者: Wang, Hsiuying
統計學研究所
Institute of Statistics
關鍵字: cancer;microarray;microRNA;sequence;phylogenetic tree
公開日期: 1-五月-2016
摘要: 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.
URI: http://dx.doi.org/10.3390/ijms17050773
http://hdl.handle.net/11536/133970
ISSN: 1422-0067
DOI: 10.3390/ijms17050773
期刊: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume: 17
Issue: 5
起始頁: 0
結束頁: 0
顯示於類別:期刊論文


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