Prediction of chemotherapy benefit by EndoPredict in patients with breast cancer who received adjuvant endocrine therapy plus chemotherapy or endocrine therapy alone.

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ICR Authors

Authors

Sestak, I
Martín, M
Dubsky, P
Kronenwett, R
Rojo, F
Cuzick, J
Filipits, M
Ruiz, A
Gradishar, W
Soliman, H
Schwartzberg, L
Buus, R
Hlauschek, D
Rodríguez-Lescure, A
Gnant, M

Document Type

Journal Article

Date

2019-07-01

Date Accepted

2019-04-08

Abstract

PURPOSE: EndoPredict (EPclin) is a prognostic test validated to inform decisions on adjuvant chemotherapy to endocrine therapy alone for patients with oestrogen receptor-positive, HER2-negative breast cancer. Here, we determine the performance of EPclin for estimating 10-year distant recurrence-free interval (DRFI) rates for those who received adjuvant endocrine therapy (ET) alone compared to those with chemotherapy plus endocrine therapy (ET + C). METHODS: A total of 3746 women were included in this joint analysis. 2630 patients received 5 years of ET alone (ABCSG-6/8, TransATAC) and 1116 patients received ET + C (GEICAM 2003-02/9906). The primary objective was to evaluate the ability of EPclin to provide an estimate of the 10-year DR rate as a continuous function of EPclin separately for ET alone and ET + C. Cox proportional hazard models were used for these analyses. RESULTS: EPclin was highly prognostic for DR in women who received ET alone (HR 2.79 (2.49-3.13), P < 0.0001) as well as in those who received ET + C (HR 2.27 (1.99-2.59), P < 0.0001). Women who received ET + C had significantly smaller increases in 10-year DR rates with the increasing EPclin score than those receiving ET alone (EPclin = 5; 12% ET + C vs. 20% ET alone). We observed a significant positive interaction between EPclin and treatment groups (P-interaction = 0.022). CONCLUSIONS: In this comparative non-randomised analysis, the rate of increase in DR with EPclin score was significantly reduced in women who received ET + C versus ET alone. Our indirect comparisons suggest that a high EPclin score can predict chemotherapy benefit in women with ER-positive, HER2-negative disease.

Citation

Breast cancer research and treatment, 2019, 176 (2), pp. 377 - 386

Source Title

Publisher

SPRINGER

ISSN

0167-6806

eISSN

1573-7217

Research Team

Notes