Table 1 Clinicopathological characteristics of the discovery set.

From: Identification of VWA5A as a novel biomarker for inhibiting metastasis in breast cancer by machine-learning based protein prioritization

 

NM

LM

M

Total

p

Age (mean ± SD)

46 ± 6

46 ± 14

47 ± 12

46 ± 11

0.776

MFS (mean ± SD)

NA

8.4 ± 3.1

1.6 ± 0.6

4.8 ± 4.1

 < 0.001

Nuclear grade

0.115

 1

0 (0.0%)

1 (11.1%)

0 (0.0%)

1 (3.4%)

 

 2

5 (50.0%)

4 (44.4%)

1 (10.0%)

10 (34.5%)

 

 3

5 (50.0%)

4 (44.4%)

9 (90.0%)

18 (62.1%)

 

Histologic grade

0.070

 II

5 (50.0%)

5 (55.6%)

1 (10.0%)

11 (37.9%)

 

 III

5 (50.0%)

4 (44.4%)

9 (90.0%)

18 (62.1%)

 

ER IHC

0.377

 Negative

4 (40.0%)

3 (33.3%)

6 (60.0%)

13 (44.8%)

 

 Positive

6 (60.0%)

6 (66.7%)

4 (40.0%)

16 (55.2%)

 

PR IHC

0.185

 Negative

4 (40.0%)

5 (55.6%)

7 (70.0%)

16 (55.2%)

 

 Positive

6 (60.0%)

4 (44.4%)

3 (30.0%)

13 (44.8%)

 

HER2 status

1.000

 Negative

8 (80.0%)

8 (88.9%)

8 (80.0%)

24 (82.8%)

 

 Positive

2 (20.0%)

1 (11.1%)

2 (20.0%)

5 (17.2%)

 

Subtype

0.137

 ER+/HER2−

6 (60.0%)

6 (66.7%)

3 (30.0%)

15 (51.7%)

 

 ER−/HER2+

2 (10.0%)

1 (11.1%)

2 (20.0%)

4 (13.8%)

 

 TNBC

2 (20.0%)

2 (22.2%)

5 (50.0%)

10 (34.5%)

 

pT stage

1.000

 pT1

1 (10.0%)

2 (22.2%)

1 (10.0%)

4 (13.8%)

 

 pT2

9 (90.0%)

7 (77.8%)

9 (90.0%)

25 (86.2%)

 

pN stage

1.000

 pN0

10 (100.0%)

8 (88.9%)

10 (100.0%)

28 (96.6%)

 

 pN1

0 (0.0%)

1 (11.1%)

0 (0.0%)

1 (3.4%)

 

Stage

1.000

 I

1 (10.0%)

2 (22.2%)

1 (10.0%)

4 (13.8%)

 

 II

9 (90.0%)

7 (77.8%)

9 (90.0%)

25 (86.2%)

 

Total

10 (34.5%)

9 (31.0%)

10 (34.5%)

29 (100.0%)

 
  1. NM no metastatsis, LM late metastasis, M metastasis, SD standard deviation, MFS metastasis free survival, IHC immunohistochemistry, TNBC triple negative breast cancer.