Table 2

Cox multivariate analysis of breast cancer specific and recurrence-free survivals

Breast cancer specific survival

Recurrence-free survival

Cases

Predictor

Haz Rat

95% CI

P

Haz Rat

95% CI

P

SRAP

1.580

0.35-7.01

0.547

0.356

0.29-5.63

0.729

Whole cohort

Age

2.576

1.50-4.40

< 0.001

1.507

1.39-3.60

< 0.0001

n = 372

ER

0.213

0.12-0.36

< 0.001

0.124

0.24-0.64

< 0.0001

Node

3.214

1.8-5.61

< 0.001

1.84

1.67-4.39

< 0.0001

SRAP

1.489

0.31-6.99

0.614

1.387

0.29-6.43

0.676

ER-

Age

2.556

1.30-5.00

0.006

2.515

1.29-4.88

0.007

n = 101

Node

2.788

1.33-5.82

0.006

2.547

1.25-5.18

0.010

SRAP × age

0.216

0.01-2.61

0.228

0.231

0.01-2.79

0.249

SRAP × node

1.421

0.31-6.99

0.688

1.422

0.29-6.43

0.686

SRAP

4.213

1.47-12.0

0.007

3.392

1.46-7.87

0.005

ER+

Age

1.637

0.75-3.54

0.210

1.656

0.88-3.09

0.113

n = 271

Node

3.466

1.45-8.26

0.005

2.721

1.40-5.27

0.003

SRAP × age

0.316

0.09-1.05

0.060

0.337

0.12-0.89

0.030

SRAP × node

0.474

1.47-12.0

0.216

0.539

1.46-7.87

0.210

CI = confidence interval; ER = estrogen receptor; Haz Rat = hazard ratio; SRAP = steroid receptor RNA activator protein; + = positive; - = negative.

P values correspond to cox regression model. Significant P values are bolded.

Yan et al. Breast Cancer Research 2009 11:R67   doi:10.1186/bcr2359