Background Gastric cancer is one of the most common diseases worldwide. MicroRNAs (miRNAs) are small non-coding RNAs, typically 19-25 nucleotides in length, which represent potential targets for therapeutic intervention. Methods and Results In this study, we performed a data mining analysis for gastric cancer (GC) by integrating differentially expressed genes obtained from the Gene Expression Omnibus (GEO) database with data from The Cancer Genome Atlas (TCGA) database. We compared the expression levels of miRNA-125-5p and miRNA-21-5p in cancer cells and GES-1 cells. Our analysis revealed up-regulation of these two miRNAs in both GEO and TCGA datasets, which was further validated by quantitative polymerase chain reaction (qPCR). Additionally, survival analysis, risk score analysis, and downstream analyses, including functional enrichment analysis, target gene prediction, and protein-protein interaction analysis, were conducted. Conclusion The expression levels of miRNA-125-5p and miRNA-21-5p are upregulated in gastric cancer cells, which contribute to the diagnosis of gastric cancer and serve as novel biomarkers.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: