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Table 4 Stratified Cox-regression model of seven-gene Heterogeneous Mixture Discriminant Analysis (MDAhet) classifier

From: A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer

  Training set Combined test set
Annotated 183 286
MDAhet 0.29 (0.16–0.56) p = 0.0002 0.15 (0.07–0.36) p < 0.000001
LN 1.31 (0.73–2.33) p = 0.36 3.25 (1.61–6.58) p = 0.001
CT NA 0.68 (0.34–1.39) p = 0.29
LN+MDAhet   
MDAhet 0.29 (0.15–0.55) p = 0.0002 0.06 (0.01–0.27) p = 0.0002
LN 1.59 (0.81–3.11) p = 0.18 3.68 (1.32–10.13) p = 0.012
CT+MDAhet   
MDAhet NA 0.27 (0.15–0.48) p = 0.00001
CT NA 0.76 (0.27–2.13) p = 0.6
  1. Stratified Cox-proportional hazards regression performance of the seven-gene MDAhet classifier, lymph node status (LN) and chemotherapy (CT) across oestrogen receptor-negative training and test sets, with strata defined by cohorts. For the univariate analysis, Hazard ratio (HR), 95% confidence intervals (CI) and LR-test p-value are given. In the multivariate models, p-values quoted are from the corresponding Wald test.