MicroRNA-17 as a promising diagnostic biomarker of gastric cancer: An investigation combining TCGA, GEO, meta-analysis, and bioinformatics.

ABSTRACT: Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating potential diagnostic biomarkers of gastric cancer (GC) and to explore related molecular mechanisms. This study aimed to identify microRNAs involved in GC by integrating data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus. Through our analysis, we identified hsa-miR-17 (miR-17) as a suitable candidate. We performed a meta-analysis of published studies and analyzed clinical data from TCGA to evaluate the clinical significance and diagnostic value of miR-17 in GC. miR-17 was found to be upregulated in GC tissues and exhibited a favorable value in diagnosing GC. In addition, we predicted that 288 target genes of miR-17 participate in GC-relat

SUBMITTER: Hu G 

PROVIDER: S-EPMC6120248 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature