A Meta-Analysis of MicroRNA Expression in Liver Cancer |
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| Authors: | Jingcheng Yang Shuai Han Wenwen Huang Ting Chen Yang Liu Shangling Pan Shikang Li |
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| Institution: | 1. First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.; 2. Department of Management Information System, College of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, Guangxi Zhuang Autonomous Region, China.; 3. Department of Pathophysiology, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.; CRCL-INSERM, France, |
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| Abstract: | MicroRNA (miRNA) played an important role in the progression of liver cancer and its diagnostic and prognostic values have been frequently studied. However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analysis of a total of 357 tumor and 283 noncancerous samples from 12 published miRNA expression studies using robust rank aggregation method. As a result, we identified a statistically significant meta-signature of five upregulated (miR-221, miR-222, miR-93, miR-21 and miR-224) and four downregulated (miR-130a, miR-195, miR-199a and miR-375) miRNAs. We then conducted miRNA target prediction and pathway enrichment analysis to find what biological process these miRNAs might affect. We found that most of the pathways were frequently associated with cell signaling and cancer pathogenesis. Thus these miRNAs may involve in the onset and progression of liver cancer and serve as potential diagnostic and therapeutic targets of this malignancy. |
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