Computational Approach to Identify Regulatory Biomarkers in the Pathogenesis of Breast Carcinoma

Breast Cancer is reckoned amongst the most common cause of morbidity and mortality among women, adversely affecting female population irrespective age. The poor survival rate reported in invasive carcinoma cases demands identification early developmental stage key markers. MicroRNAs are contributing a critical role gene regulation potential Over 2000 miRNAs have been identified considered to offer unique opportunity for detection diseases. In this study, gene-miRNA-TF interaction network was constructed from differentially expressed genes obtained lobular ductal samples. consists experimentally validated transcription factors were target genes, followed by thermodynamics studies identify binding free energy between mRNA-miRNA. Our analysis miRNA; hsa-miR-28-5p binds with MAD2L1 unexpectedly high equivalent -92.54kcal/mol also makes canonical triplex hsa-miR-203a, which acts as catalyst initialize regulation. For regulatory elements, we proposed mathematical model feed-forward loops that may serve understanding mechanisms breast cancer pathogenesis progression.