Figure 7
From: Interrogating differences in expression of targeted gene sets to predict breast cancer outcome
Boxplots of C-index values for the 1000 test data sets derived from the TRANSBIG data. Predictions were made using Cox regression models fitted to each training set. Letters correspond to the following fitted models: 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. All five models included the medical center where the patient was seen as a covariate. The horizontal green line shown on each panel represents the C-index corresponding to the Veridex 76-gene prognostic signature [11] calculated based on the full data for both disease mortality and disease recurrence, respectively.