Table 1.
Protein (Positive vs Negative, Charité Data) | Charité (n = 24) | Dana-Farber (Subsampled, n = 24) | Dana-Farber (n = 129) |
---|---|---|---|
ER (14 ER+ vs 10 ER−) | 414 (FDR = 53%) | 2482 ± 1483 (FDR = 11 ± 6%) | 9756 (FDR = 1.9%) |
HER2 (6 HER2+ vs 18 HER2−) | 606 (FDR = 62%) | 441 ± 220 (FDR = 88 ± 14%) | 654 (FDR = 39%) |
The number of differential expressed transcripts between ER+ and ER− as well as HER2+ and HER2− breast cancer samples is presented. The condition p < 0.005 (Welch’s t-test) was used as a threshold for inclusion of a probe set into a gene list. False discovery rates (FDRs) were estimated by a permutation method. Results are shown for the Charité data (n = 24), subsampled Dana-Farber data (n = 24), and the complete Dana-Farber data (n = 129). Subsampling analysis was done by partition of the Dana-Farber cohort in non-overlapping subsets that included the same number of positive and negative tumors as the Charité cohort. Subsequently, mean value and standard deviation over these subsets were calculated and reported.