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Table 1 The result of a multivariate Cox regression model using METABRIC database

From: Application of RNAi-induced gene expression profiles for prognostic prediction in breast cancer

Variable Type Coefficient p value Hazard ratio 95 % CI
RIPSRAD51 Continuous 1.8E-02 9.8E-05 1.018 1.009 ~ 1.027
Age Continuous 6.0E-04 9.0E-01 1.000 0.992 ~ 1.009
Tumor size Continuous 1.2E-02 5.3E-07 1.012 1.008 ~ 1.017
ER status Binary –1.7E-01 2.1E-01 0.845 0.651 ~ 1.097
HER2 status Binary 3.9E-01 5.3E-03 1.470 1.122 ~ 1.926
Lymph node Integer 9.0E-02 1.0E-15 1.094 1.071 ~ 1.119
Stage Integer 9.2E-01 1.4E-01 0.922 0.828 ~ 1.028
Grade Integer 9.2E-01 1.8E-01 0.922 0.939 ~ 1.409
  1. Except RIPSRAD51, other important clinical factors including age, tumor size, ER status, HER2 status, lymph node, stage, grade are also considered as variables to input to a Cox regression model. RIPSRAD51 is significantly prognostic of survival