Protein expression based multimarker analysis of breast cancer samples

BMC Cancer

Table 5 Survival prediction of WGCNA, WGCNA* and COX groups in a multivariate Cox proportional-hazards (CPH) model

CPH Model Predictors	WGCNA		WGCNA*		COX
	HR (CI)	p-value	HR (CI)	p-value	HR (CI)	p-value
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 (p-value)	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 p-values. WGCNA and COX patient mortality groups predicted survival at p < 0.05, and the overall model R² and p-values 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).

ISSN: 1471-2407