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Table 2 Univariate Cox and logistic regression analyses to predict distant recurrence-free survival using the dichotomized and continuous expression data of HLA-A, HLA-B, and HLA-C, respectively. HLA-A, but not HLA-B and HLA-C, is predictive for patient survival, but not for response to neoadjuvant treatment

From: Human leucocyte antigen class I in hormone receptor-positive, HER2-negative breast cancer: association with response and survival after neoadjuvant chemotherapy

Univariate Cox regression—distant recurrence-free survival (MDACC)

  

HR

95% CI

P

 HLA-A

High vs. low

2.493

1.131–5.494

0.023

 HLA-B

High vs. low

2.042

0.956–4.358

0.065

 HLA-C

High vs. low

1.477

0.723–3.016

0.284

Univariate logistic regression—pCR (MDACC)

  

HR

95% CI

P

 HLA-A

High vs. low

1.722

0.699–4.289

0.234

 HLA-B

High vs. low

1.373

0.552–3.383

0.487

 HLA-C

High vs. low

1.373

0.552–3.383

0.487

Univariate Cox regression—distant recurrence-free survival (MDACC)

  

HR

95% CI

P

 HLA-A

Continuous

1.576

1.079–2.303

0.019

 HLA-B

Continuous

1.364

0.973–1.912

0.072

 HLA-C

Continuous

1.359

0.941–1.965

0.102

Univariate logistic regression—pCR (MDACC)

  

HR

95% CI

P

 HLA-A

Continuous

1.346

0.857–2.103

0.192

 HLA-B

Continuous

1.367

0.887–2.132

0.160

 HLA-C

Continuous

1.519

0.948–2.466

0.085