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Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients

16 Mar 2018

Abstract excerpt

AIM: To identify multiple microRNAs (miRNAs) for predicting the prognosis of gastric cancer (GC) patients by bioinformatics analysis. METHODS: < 0.05 and fold change > 2.0. In addition, we acquired the miRNA expression profiles and clinical information of 361 GC patients from The Cancer Genome Atlas database to assess the prognostic role of the DEMs. The target genes of miRNAs were predicted using TargetScan,...

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PMID: 29568201
DOI: 10.3748/wjg.v24.i11.1206

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