107PComputational integrative analysis of identification of potential therapeutic genes and networks in breast cancer

Background: Cancer genomics research aims at investigation of biological pathways affected by mutations of these genes will help us to understand the determinants of cancer initiation, progression, and other biological functions. The sophisticated computational methods have been developed to facilitate the detection of cancer driver mutations and pathways. We made an attempt in this study to identify the potential candidate genes in the breast cancer carcinogenesis by computational integrative analysis. This approach is appropriated for identifying potentially useful diagnostic and prognostic biomarkers for therapeutic intervention of breast cancer.