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Table 1 Patient characteristics

From: Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

 

n (%)

ER+

ER-

Number of patients

67

33

34

Age (years)

 Median

51

57

48

 Range

30–93

34–93

30–75

 TNM stage

 I

6 (9%)

4 (12%)

2 (6%)

 II

2 (3%)

1 (3%)

1 (3%)

 IIA

23 (35%)

12 (37%)

11 (32%)

 IIB

21 (31%)

7 (21%)

14 (41%)

 IIIA

9 (13%)

5 (15%)

4 (12%)

 IIIB

6 (9%)

4 (12%)

2 (6%)

N category

 pN0

37 (55%)

17 (52%)

20 (59%)

 pN1

24 (35%)

13 (39%)

11 (32%)

 pN2

5 (8%)

3 (9%)

2 (6%)

 Missing

1 (2%)

0 (0%)

1 (3%)

Grade

 G1

8 (12%)

8 (24%)

0 (0%)

 G2

20 (30%)

14 (43%)

6 (18%)

 G3

29 (43%)

7 (21%)

22 (64%)

 Missing

10 (15%)

4 (12%)

6 (18%)

Neoadjuvant therapy

 Yes

6 (9%)

2 (6%)

4 (12%)

 No

50 (75%)

26 (79%)

24 (70%)

 Missing

11 (16%)

5 (15%)

6 (18%)