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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