| Summary: | Background: Breast cancer is the second leading cause of death in women worldwide. Notwithstanding all medical advances, nowadays, we confront the emergency demands of certain solutions solving this dilemma. An effective approach may be recognizing mRNA/miRNA expression profiles in breast cancer. Material & methods: Through searching Gene Expression Omnibus (GEO) database, and using GSE29174 and GSE58606, the GEO2R online tool, and the Limma package, (common) differentially expressed genes (DEGs) and miRNAs (DEMs) for all breast cancer subtypes are designated, respectively. All DEGs-DEMs interactions are found and visualized via miRTarBase and Cytoscape. Considering the STRING database and Cytohubba plugin, the protein-protein interactions (PPI) are plotted. Via R packages, and Kaplan-Meier Plotter, functional enrichment and survival analysis are conducted, respectively. Then, common DEGs validation is carried out by GSE45827 and the final PPI networks with diagnostic and prognostic values were plotted. Ultimately, for more verification (strictly) validated common DEGs were investigated using the GEPIA. Results: The proprietary and common DEGs and DEMs for all breast cancer subtypes are discovered. Afterward, DEGs and DEMs interactions are plotted. Furthermore, diagnosis- and prognosis-applicable gene expression profiles, novel expression change in four genes, and in two microRNAs, and one contingent new gene-miRNA interaction in breast cancer development and prognosis are ascertained. Conclusion: Pursuant to the discovered profiles, and our novel findings, they may be the potential targets for upcoming research as to prognosis, diagnosis, and targeted therapy in breast cancer.
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