Table 4 |
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Stratified Cox-regression model of seven-gene Heterogeneous Mixture Discriminant Analysis (MDAhet) classifier |
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|
Training set |
Combined test set |
|
|
|
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|
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 |
|
|
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|
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. |
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Teschendorff and Caldas Breast Cancer Research 2008 10:R73 doi:10.1186/bcr2138 |
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