The following models were fit for each of the 1000 training data sets: A) clinical data only (age, size and grade of tumor, ER status), B) gene expression data (PGR, GABRP, TBC1D9, SLC39A6 and LRBA for both OS and DFS, and additionally NAT1 for DFS), C) clinical data plus gene expression data, D) randomly selected gene expression data (5 genes for OS and 6 genes for DFS), and E) randomly selected gene expression data plus clinical data. The gene discussed is NAT1; the disease is neoplasm.