Breast cancer is the most common occurring cancer among women worldwide. Risk factors included drinking lot of alcohol, lack of physical exercise, family history, ionizing radiations and hormones replacement therapy during menupuase. BRAC1 gene play important role in biochemical processes occurring in cells of the breast cancer. It is highly abundant in tumor cells as compared to the normal cells of human body. It makes it strong and ideal candidate for biochemical and functional characterization at molecular level. The molecular pathways associated with tumor formation and progression of breast cancer not completely discovered yet. There is need to design such potential target or drugs that can target the cells of breast cancer and regulate the epithelial mesenchymal transition as well as reduces the number of cases due to breast cancer. Information regarding genes involved molecular pathways remains unclear. There is need to identify genes involved inthe development of breast cancer as well as prognosis. GEO database of NCBI especially used for breast cancer datasets searching.Cytohubba is used to identify the DEGs. Functional enrichment software that is used for classification and characterization of genes at functional level. Biological database such as STRING that designed for to construct PPI networks of DEGs. MCODE in Cytoscape-Intergerated plug in experimentally applied to check the interactions in PPI network. Cytohubba also used to check out the either hub genes functional or target newly drug for the breast cancer treatment. Kaplan–Meier is biological software that is used to check out the survival of individual hub genes subjected to breast cancer. X2K (Expression2Kinases) used to check out the expression of hub genes. The between hub gene and drug especially be designed in database of drug bank.