The Diagnostic Role And Bioinformatics Analysis For The Function Of MicroRNA-106 In Gastric Cancer

Objective:Recently,accumulating evidences have revealed that miRNA-106(miR-106)may serve as a non-invasive and cost-effective biomarker in gastric cancer(GC)detection.However,inconsistent results have prevented its application to clinical practice.As a result of this,a comprehensive meta-analysis was conducted to evaluate the diagnostic performance of miR-106 alone and miR-106-related combination markers for GC detection.Meanwhile,an integrative bioinformatics analysis was performed to explore the function of miR-106 at the systems biology level.Methods:A comprehensive computerized literature search for articles(up to December 27,2017)was carried out based on several electronic databases including PubMed,EMbase,Web of Science and the Cochrane Library.Eligible studies were enrolled according to the inclusion and exclusion criteria along with quality assessment independently by two investigators.Statistical analyses were performed in STATA(version 14.0)and Meta-DiSc statistical software(version 1.4)software.Furthermore,targets of miR-106 were obtained and enriched by GO(gene ontology)and KEGG(Kyoto Encyclopedia of Genes and Genomes)pathway analysis,constructed the protein-protein interaction(PPI)network.Based on the set up network,hub genes and significant module will be find.Conclusion:The results in our work showed that sensitivity of 0.71(95%CI:0.65-0.76)and specificity of 0.82(0.72-0.88),with the under area AUC(area under the curve)value of 0.80(0.76-0.83)for miR-106 alone.Prospectively,miR-106-related combination markers improved the combined sensitivity,specificity and AUC describing the discriminatory ability of 0.78(0.65-0.87),0.83(0.77-0.89)and 0.88(0.85-0.90)in the present analysis.Subgroup analysis indicated that sample type and sample size may influence the diagnostic accuracy.Furthermore,targets of miR-106 were obtained and enriched by GO and KEGG pathway analysis,revealing their associations with the occurrence and development of GC.Hub genes and significant modules were identified from the networks constructed by miR-106 targets and found closely associated with the initiation and progression of GC again.Results:miR-106 may be suitable as a diagnostic biomarker for GC while miRNA combination biomarkers may provide a new alternative for clinical application.