Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors

Table 6 Multivariate survival analysis - continuous methylation data

Covariate	Baseline	Coefficient (b_i)	HR(exp(b_i)	p-value	95,0% CI for Exp(B)
GSTP1	Normal like GSTP1	−0.066	0.935	4e-4	(0.902-0.970)
IGF2	Normal like IGF2	0.079	1.082	0.002	(1.031-1.136)
MLH1	Normal like MLH1	−0.552	0.575	0.135	(0.278-1.187)
ER	ER positive	1.659	5.256	0.002	(1.804-15.317)
TP53	TP53 wild type	−2.169	0.114	0.002	(0.028-0.450)
N 1	N0	1.684	5.391	0.022	(1.265-22.975)
N 2	N0	1.706	5.511	0.032	(1.151-26.371)
T 2	T1	1.937	6.942	0.035	(1.143-42.157)
T3	T1	0.050	1.051	0.960	(0.143-7.716)
T4	T1	1.125	3.081	0.258	(0.437-21.692)

The variables that the minimum AIC selected. ( p-values: 1.2e-7 for likelihood ratio test, 5.8e-4 for Wald test, 6.7e-6 for log-rank test).
Positive hazard ratios indicate an increased risk of dying from breast cancer and are calculated for the different covariates.

ISSN: 1471-2407