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Table 2 Effects of histological tumor type (ILC vs. NST) on DFS, OS, BCSS, and DDFS

From: Effect of histological breast cancer subtypes invasive lobular versus non-special type on survival in early intermediate-to-high-risk breast carcinoma: results from the SUCCESS trials

Survival endpoint

 

Univariable Cox regression model

Adjusted multivariable Cox regression model

p value for 2-way interaction (histological tumor type × nodal status)

Hazard ratio

95% CI

p value

Hazard ratio

95% CI

p value

DFS

pN0/pN1

      

< 0.001

ILC vs. NST

0.55

0.39–0.77

< 0.001

0.60

0.42–0.86

0.005

pN2/pN3

      

ILC vs. NST

1.38

1.05–1.82

0.023

1.40

1.03–1.91

0.033

OS

pN0/pN1

      

0.005

ILC vs. NST

0.60

0.39– 0.94

0.025

0.66

0.41–1.07

0.091

pN2/pN3

      

ILC vs. NST

1.54

1.10–2.15

0.011

1.60

1.09–2.34

0.015

BCSS

pN0/pN1

      

0.008

ILC vs. NST

0.56

0.34–0.93

0.024

0.70

0.41–1.20

0.190

pN2/pN3

      

ILC vs. NST

1.56

1.09–2.24

0.016

1.71

1.12–2.59

0.012

DDFS

pN0/pN1

      

0.007

ILC vs. NST

0.55

0.37–0.82

0.003

0.63

0.41–0.95

0.029

pN2/pN3

      

ILC vs. NST

1.21

0.87–1.67

0.254

1.35

0.94–1.94

0.108