Bioinformatics Analysis Reveals the Biomarker Value and Potential Mechanism of miR-675-3p in Gastric Cancer

Abstract

Background. Gastric cancer (GC) is still the main challenge for the social and clinical system. Increasing studies have proved that microRNA dysfunction is closely associated with the GC progression. miR-675-3p has been confirmed as the tumor support in multiple tumor cells, while its role in GC remains unclear. Methods. The clinical data in the TCGA database were excavated for analyzing the role of miR-675-3p in pan-cancer and GC. qRT-PCR was applied to detect the abundances of the genes. The Starbase 2.0 was executed to target the prediction of miR-675-3p. Moreover, the enrichment analysis was performed with the DAVID database. The PPI-network analysis of the targets was performed with Cytoscape. Results. miR-675-3p was dramatically upregulated in multiple types of cancer, and elevated miR-675-3p was also found in GC tissues. Moreover, increased miR-675-3p was closely related with the poor survival rates of the patients. The qRT-PCR showed that miR-675-3p was extremely upregulated in GC tissues and cell lines. The enrichment analysis showed that the targets of miR-675-3p were located in the cellular nucleus and associated with the transcriptional misregulation in cancer. The PPI-network showed that three clusters and total of 40 genes were screened as potential hub nodes. Moreover, BRIP1, MYO5B, and PDS5B were related with the prognostic survival of the patients according to the TCGA database and decreased BRIP1, MYO5B, and PDS5B were also found in GC cell lines. Conclusion. This study identified miR-675-3p as a potential biomarker in GC development and revealed the potential regulation network of miR-675-3p.