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BioMed Research International
Volume 2015 (2015), Article ID 746970, 17 pages
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

1Institute of Biomedical Engineering, Capital Medical University, Beijing 100069, China
2Institute of Basic Medical Science, Peking Union Medical College, Qinghua University, No. 5 Dong Dan San Tiao, Beijing 100005, China

Received 16 July 2014; Revised 15 September 2014; Accepted 22 September 2014

Academic Editor: Jiangning Song

Copyright © 2015 Dongguo Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Figure S1 provided the dynamic Bayesian network construction process. Figure S2 provided the highest counts of CNA regions for a luminal-A subtype sample and a basal-like subtype sample. Figure S3 is the box plots displaying the average gene expression of four gene groups (luminal-A gain, luminal-A loss, basal-like gain and basal-like loss). Figure S4 provided the Kaplan-Meier survival analysis results for genes involved in the identified four network motifs. Table S1 provided the siRNA target and the primer sequences used for cloning.

  1. Supplementary Materials