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pmid:28901457
Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Lin Li · Qingsong Lei · Shujun Zhang · Lingna Kong · Bo Qin
Oncology reports · 2017 doi:10.3892/or.2017.5946
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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To identify the candidate genes in the carcinogenesis and progression of HCC, microarray datasets GSE19665, GSE33006 and GSE41804 were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and function enrichment analyses were performed. The protein-protein interaction network (PPI) was constructed and the module analysis was performed using STRING and Cytoscape. A total of 273 DEGs were identified, consisting of 189 downregulated genes and 84 upregulated genes. The enriched functions and pathways of the DEGs include protein activation cascade, complement activation, carbohydrate binding, complement and coagulation cascades, mitotic cell cycle and oocyte meiosis. Sixteen hub genes were identified and biological process analysis revealed that these genes were mainly enriched in cell division, cell cycle and nuclear division. 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