Research Article

Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling

Figure 1

The flow chart of our work is as follows. (a) Using breast cancer subtype related aCGH data and breast cancer subtype related expression profile data to determine the genes residing in subtype-specific CNA regions and divide the genes into four gene groups: luminal-A gain group; luminal-A loss group; basal-like gain group; and basal-like loss group. (b) Using breast cancer subtype related miRNA-mRNA dual expression profile data to reconstruct the miRNA-mRNA target information based on the defined correlation coefficient ratio (CCR) values. (c) Construct Bayesian networks and identify network motifs for the four gene groups: for luminal-A gain and luminal-A loss gene groups, the initial target information was a luminal-A trend. In contrast, the initial target information was a basal-like trend for basal-like gain and basal-like loss gene groups.