Table 5 

Survival prediction of WGCNA, WGCNA* and COX groups in a multivariate Cox proportionalhazards (CPH) model 

CPH Model Predictors 
WGCNA 
WGCNA* 
COX 



HR (CI) 
pvalue 
HR (CI) 
pvalue 
HR (CI) 
pvalue 



Moderate Mortality 
3.1 (0.5,19) 
0.220 
1.5 (0.3,7.3) 
0.635 
17.5 (1.7,178) 
0.016 
High Mortality 
5.9 (1.1,31) 
0.037 
3.8 (0.8,18) 
0.094 
11.0 (1.2,102) 
0.036 
Lymph Node Involvement 
0.9 (0.3,3.3) 
0.900 
1.1 (0.3,4.0) 
0.879 
1.2 (0.3,5.0) 
0.767 
Metastases 
5.5 (0.4,72) 
0.200 
4.4 (0.3,58) 
0.261 
3.1 (0.2,59) 
0.446 
Stage 
1.9 (0.5,7.7) 
0.370 
2.2 (0.5,8.9) 
0.284 
2.7 (0.4,17) 
0.296 
Her2+ 
2.9 (0.8,11) 
0.120 
3.0 (0.8,10) 
0.091 
1.7 (0.5,6.0) 
0.433 


# Observations 
66 
66 
60 

Model R^{2 }(pvalue) 
0.326 (1.2 × 10^{4}) 
0.306 (1.1 × 10^{4}) 
0.386 (4.7 × 10^{5}) 



Hazard ratios (HR) and their 95% confidence intervals (CI) are reported for each model along with coefficient pvalues. WGCNA and COX patient mortality groups predicted survival at p < 0.05, and the overall model R^{2 }and pvalues were similar across all three models. The COX model achieved the strongest hazards ratios for the moderate and high mortality groups. Her2+ was the strongest variable predictor but did not achieve significance at the 0.05 level. Variables were selected for multivariate analysis if they were significantly related to survival in a univariate CPH model (p < 0.05). 

Presson et al. BMC Cancer 2011 11:230 doi:10.1186/1471240711230 