Table 3.

Multivariate analysis of predictive factors for pathologic CR

VariablesModel 1: clinical and histologic variables
Model 2: clinical variables and molecular classification
Model 3: clinical, histologic variables, molecular classification
OR (95% CI)POR (95% CI)POR (95% CI)P
Age (y)
    <50111
    >500.27 (0.8-0.91)0.0350.17 (0.06-0.45)<0.0010.43 (0.11-1.7)0.43
Tumor (cm)
    <5111
    >50.55 (0.14-2.3)0.410.53 (0.15-1.8)0.280.64 (0.14-2.9)0.56
Node
    N0111
    N1-30.96 (0.31-3.0)0.940.65 (0.22-2.0)0.180.90 (0.22-3.7)0.90
Estrogen receptor
    Negative11
    Positive0.12 (0.02-0.31)<0.0010.08 (0.02-0.35)0.001
HER-2
    Negative11
    Positive1.77 (0.42-7.5)0.430.32 (0.03-3.6)0.34
Nuclear grade
    1/211
    32.6 (0.81-8.4)0.112.5 (0.4-13.6)0.30
Histology
    Ductal11
    Other1.14 (0.17-7.5)0.892.3 (0.11-1.7)0.76
Molecular classification
    Luminal/normal-like11
    Normal-like0 (0-…)0.990 (0-…)0.99
    Basal-like3.3 (1.0-11)0.060.8 (0.12-5.5)0.83
    erbB2+4.4 (1.2-17)0.0267.8 (0.62-100)0.11
  • NOTE: Multivariate analysis of different combinations of clinical (age, tumor, node) and histopathologic characteristics (grade, estrogen receptor and HER-2 status, and histologic type) and molecular class as variables. Three distinct prediction models were examined: clinical plus histopathologic variables (model 1), clinical variables plus molecular class (model 2), and all three types of information together (model 3).