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Table 1 Characteristics of the datasets used in the analysis

From: Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer

 

Training

Testing 1

Testing 2

Number of samples

223 (RD = 150, pCR = 73)

75 (RD = 50, pCR = 25)

71 (RD = 46, pCR = 25)

Mean Age in years (± SD)

49.9 (± 10.9)

50.3 (± 11)

50.4 (± 10.8)

Grade

   

 Grade 1

2 (1%)

1 (1%)

0 (0%)

 Grade 2

32 (14%)

15 (20%)

11 (15.5%)

 Grade 3

153 (69%)

44 (59%)

53 (74.6%)

 Unknown

36 (16%)

15 (20%)

7 (9.9%)

T-stage

   

 T1

10 (4%)

2 (3%)

6 (8.5%)

 T2

98 (44%)

40 (53%)

33 (46.5%)

 T3

59 (27%)

15 (20%)

14 (19.7%)

 T4

42 (19%)

11 (15%)

17 (23.9%)

 Unknown

14 (6%)

7 (9%)

1 (1.4%)

N-stage

   

 N0

52 (23%)

20 (27%)

11 (15.5%)

 N1

86 (39%)

24 (32%)

36 (50.7%)

 N2

33 (15%)

10 (13%)

13 (18.3%)

 N3

21 (9%)

4 (5%)

10 (14.1%)

 Unknown

30 (14%)

17 (23%)

1 (1.4%)

  1. The training data were used to develop the classifier, and the two testing datasets were used to evaluate its performance. RD residual disease, pCR pathological complete response