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Table 2 Five-year DFS estimates for each of the prognostic groups in both the training and test sets

From: Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer

5-year Recurrence-Free Survival Estimates Training Set

Median follow-up 42.23 months (1.45-246.40 months)

 

No. at Risk

No. of Events

5-Year Estimate

95% Confidence Interval

P-Value

All

446

106

0.699

(0.65, 0.751)

 

Prognostic Group 1

108

17

0.809

(0.730, 0.896)

 

Prognostic Group 2

84

7

0.876

(0.793, 0.968)

 

Prognostic Group 3

44

8

0.758

(0.620, 0.926)

 

Prognostic Group 4

73

22

0.595

(0.464, 0.763)

 

Prognostic Group 5

109

36

0.576

(0.472, 0.703)

 

Prognostic Group 6

28

16

0.299

(0.152, 0.589)

8.88E-10

5-year Recurrence-Free Survival Estimates Test Set

Median follow-up 217 months (180-259 months)

 

No. at Risk

No. of Events

5-Year Estimate

95% Confidence Interval

P-Value

All

166

92

0.446

(0.376, 0.528)

 

Prognostic Group 1

33

18

0.455

(0.313, 0.661)

 

Prognostic Group 2

45

17

0.622

(0.496, 0.781)

 

Prognostic Group 3

15

5

0.667

(0.466, 0.953)

 

Prognostic Group 4

22

16

0.273

(0.138, 0.540)

 

Prognostic Group 5

20

14

0.300

(0.154, 0.586)

 

Prognostic Group 6

31

22

0.290

(0.167, 0.503)

0.0013