Table 1 Breast cancer patient cohort characteristics
From: Definition of a novel breast tumor-specific classifier based on secretome analysis
Features levels | Secretome (n = 422) | Glucose–Lactate (n = 38) | |
|---|---|---|---|
Age at diagnosis | med [range] | 59.2 [22.4–92.9] | 60.8 [22.4–88.8] |
BMI | med [range] | 24.3 [15.7–45.5] | 25 [16.6–39.2] |
Pregnancy: n (%) | No | 61 (14.8%) | 6 (16.2%) |
Yes | 351 (85.2%) | 31 (83.8%) | |
NA | 1 | 1 | |
Menopause: n (%) | No | 109 (29.2%) | 7 (20%) |
Yes | 264 (70.8%) | 28 (80%) | |
NA | 3 | 2 | |
Age at first relapse event | med [range] | 64 [32.3–94.8] | 63.4 [38–82.9] |
pT: n (%) | pT1a | 5 (1.2%) | 2 (5.3%) |
pT1b | 8 (1.9%) | 0 | |
pT1c | 180 (42.7%) | 14 (36.8%) | |
pT2 | 208 (49.3%) | 21 (55.3%) | |
pT3 | 20 (4.7%) | 1 (2.6%) | |
pT4b | 1 (0.2%) | 0 | |
pN: n (%) | pN0 | 208 (49.3%) | 20 (52.6%) |
pN1 | 146 (34.6%) | 11 (28.9%) | |
pN2 | 44 (10.4%) | 3 (7.9%) | |
pN3 | 24 (5.7%) | 4 (10.5%) | |
EE grade: n (%) | 1 | 25 (6%) | 1 (2.6%) |
2 | 182 (43.3%) | 13 (34.2%) | |
3 | 213 (50.7%) | 24 (63.2%) | |
NA | 2 | 0 | |
Ki-67%: n (%) | < 20 | 140 (36.4%) | 9 (42.9%) |
≥ 20 | 245 (63.6%) | 12 (57.1%) | |
NA | 3 | 2 | |
Lesional code: n (%) | Ductal (INV) | 331 (78.4%) | 33 (86.8%) |
Ductal and Lobular (INV) | 8 (1.9%) | 1 (2.6%) | |
Lobular (INV) | 50 (11.8%) | 3 (7.9%) | |
Other (INV) | 33 (7.8%) | 1 (2.6%) | |
Vascular emboli: n (%) | No | 236 (56.2%) | 15 (39.5%) |
Yes | 184 (43.8%) | 23 (60.5%) | |
NA | 2 | 0 | |
Molecular class (ER, HER2): n (%) | HER2 (±) | 28 (6.6%) | 8 (21.1%) |
LUMA (±, ki-67 < 20) | 130 (30.8%) | 6 (15.8%) | |
LUMB (±, ki-67 ≥ 20) | 158 (37.4%) | 6 (15.8%) | |
LUMHER2 (+ +) | 30 (7.1%) | 8 (21.1%) | |
TN (–) | 76 (18%) | 10 (26.3%) |