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Open Access 01-07-2020 | Breast Cancer | Clinical trial

EndoPredict^® in early hormone receptor-positive, HER2-negative breast cancer

Authors: K. Almstedt, S. Mendoza, M. Otto, M. J. Battista, J. Steetskamp, A. S. Heimes, S. Krajnak, A. Poplawski, A. Gerhold-Ay, A. Hasenburg, C. Denkert, M. Schmidt

Published in: Breast Cancer Research and Treatment | Issue 1/2020

Abstract

Purpose

Evaluating consecutive early breast cancer patients, we analyzed both the impact of EndoPredict^® on clinical decisions as well as clinico-pathological factors influencing the decision to perform this gene expression test.

Methods

Hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative early breast cancer patients treated between 2011 and 2016 were included in this study to investigate the role of EndoPredict^® (EPclin) in the treatment of early breast cancer. A main study aim was to analyze the changes in therapy recommendations with and without EPclin. In addition, the impact of clinico-pathological parameters for the decision to perform EPclin was examined by Pearson's chi-squared test (χ²-test) and Fisher's exact test as well as univariate and multivariate logistic regressions.

Results

In a cohort of 869 consecutive early HR-positive, HER-negative breast cancer patients, EPclin was utilized in 156 (18.0%) patients. EPclin led to changes in therapy recommendations in 33.3% (n = 52), with both therapy escalation in 19.2% (n = 30) and de-escalation in 14.1% (n = 22). The clinico-pathological factors influencing the use of EPclin were age (P < 0.001, odds ratio [OR] 0.498), tumor size (P = 0.011, OR 0.071), nodal status (P = 0.021, OR 1.674), histological grade (P = 0.043, OR 0.432), and Ki-67 (P < 0.001, OR 3.599).

Conclusions

EPclin led to a change in therapy recommendations in one third of the patients. Clinico-pathological parameters such as younger age, smaller tumor size, positive nodal status, intermediate histological grade and intermediate Ki-67 had a significant influence on the use of EndoPredict^®.

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Title: EndoPredict® in early hormone receptor-positive, HER2-negative breast cancer
Authors: K. Almstedt
S. Mendoza
M. Otto
M. J. Battista
J. Steetskamp
A. S. Heimes
S. Krajnak
A. Poplawski
A. Gerhold-Ay
A. Hasenburg
C. Denkert
M. Schmidt
Publication date: 01-07-2020
Publisher: Springer US
Keywords: Breast Cancer
Breast Cancer
Published in: Breast Cancer Research and Treatment / Issue 1/2020
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI: https://doi.org/10.1007/s10549-020-05688-1

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