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Table 3 Linear regression analysis of the relationship between the tumor size change and biomarkers

From: Comprehensive evaluation of the relationship between biomarker profiles and neoadjuvant chemotherapy outcomes for breast cancer patients

 

Test

n

Coefficient

p-value

HER2

Linear regression for dummy variable

189

Not significant

> 0.2

ER

Linear regression for dummy variable

189

0.3184

< 0.001*

PR

Linear regression for dummy variable

189

0.2821

< 0.001*

TOPO II

Linear regression for dummy variable

118

Not significant

> 0.2

EGFR

Linear regression for dummy variable

120

Not significant

> 0.05

Ki67

Linear regression

189

-0.0044

0.003*

CK5/6

Linear regression for dummy variable

116

Not significant

> 0.05

AR

Linear regression

134

Not significant

> 0.5

P53

Linear regression

119

Not significant

> 0.2

  1. p-value is the P >|t| value associated with the model coefficient(s)
  2. n is the number of patients having the according information therefore used for regression analysis
  3. *differences are considered statistically significant at a p-value of less than 0.05