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Table 5 Uni- and multivariate logistic regression models of patient- and disease-related features and pCR upon adjustment of the multivariate model for Ki-67, γ-H2AX and pChk1 (N = 54)

From: Body mass index modifies the relationship between γ-H2AX, a DNA damage biomarker, and pathological complete response in triple-negative breast cancer

 

BMI < 25

Univariate logistic regression

Multivariate logistic regressiona

OR

95%CI

p-value

OR

95%CI

p-value

Stage

 III vs II

0.37

0.08–1.81

0.220

   

Grade

 3 vs 1–2

0.98

0.23–4.25

0.981

   

Ki67

 High vs Low

0.19

0.04–0.97

0.046

0.30

0.04–2.06

0.223

γ-H2AX

 High vs Low

10.83

1.79–65.55

0.009

6.34

0.89–45.33

0.066

pChk1

 Pos vs Neg

7.50

1.47–38.28

0.015

4.82

0.77–30.26

0.093

 

BMI ≥ 25

Univariate logistic regression

Multivariate logistic regression

OR

95%CI

p-value

OR

95%CI

p-value

Stage

 III vs II

0.65

0.06–7.32

0.727

   

Grade

 3 vs 1–2

3.00

0.39–23.07

0.291

   

Ki-67

 High vs Low

0.25

0.02–2.70

0.253

   

γ-H2AX

 High vs Low

1.05

0.14–7.93

0.964

   

pChk1

 Pos vs Neg

Not applicable

   
  1. aAdjusted for: Ki-67, γ-H2AX and pChk1