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EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer

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Dubsky, P., Filipits, M., Jakesz, R., Rudas, M., Singer, C.F., Greil, R., Dietze, O., Luisser, I., Klug, E., Sedivy, R., Bachner, M., Mayr, D., Schmidt, M., Gehrmann, M.C., Petry, C., Weber, K.E., Kronenwett, R., Brase, J.C., Gnant, M.·2013·Annals of Oncology

Abstract

BACKGROUND: In early estrogen receptor (ER)-positive/HER2-negative breast cancer, the decision to administer chemotherapy is largely based on prognostic criteria. The combined molecular/clinical EndoPredict test (EPclin) has been validated to accurately assess prognosis in this population. In this study, the clinical relevance of EPclin in relation to well-established clinical guidelines is assessed. PATIENTS AND METHODS: We assigned risk groups to 1702 ER-positive/HER2-negative postmenopausal women from two large phase III trials treated only with endocrine therapy. Prognosis was assigned according to National Comprehensive Cancer Center Network-, German S3-, St Gallen guidelines and the EPclin. Prognostic groups were compared using the Kaplan-Meier survival analysis. RESULTS: After 10 years, absolute risk reductions (ARR) between the high- and low-risk groups ranged from 6.9% to 11.2% if assigned according to guidelines. It was at 18.7% for EPclin. EPclin reassigned 58%-61% of women classified as high-/intermediate-risk (according to clinical guidelines) to low risk. Women reclassified to low risk showed a 5% rate of distant metastasis at 10 years. CONCLUSION: The EPclin score is able to predict favorable prognosis in a majority of patients that clinical guidelines would assign to intermediate or high risk. EPclin may reduce the indications for chemotherapy in ER-positive postmenopausal women with a limited number of clinical risk factors.

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Metadata

Authors
Dubsky, P., Filipits, M., Jakesz, R., Rudas, M., Singer, C. F., Greil, R., Dietze, O., Luisser, I., Klug, E., Sedivy, R., Bachner, M., Mayr, D., Schmidt, M., Gehrmann, M. C., Petry, C., Weber, K. E., Kronenwett, R., Brase, J. C., & Gnant, M.
Venue
Annals of Oncology
Publisher
Elsevier BV
Published
2013-03
Volume
24
Issue
3
Pages
640-647
ISSN
0923-7534 (ISSN-L)
OpenAlex
W2144335178
Cited by
212
References
0
FWCI
5.37
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer. https://app.cochat.ai/papers/10.1093/annonc/mds334
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Dubsky, P., Filipits, M., Jakesz, R., Rudas, M., Singer, C. F., Greil, R., Dietze, O., Luisser, I., Klug, E., Sedivy, R., Bachner, M., Mayr, D., Schmidt, M., Gehrmann, M. C., Petry, C., Weber, K. E., Kronenwett, R., Brase, J. C., & Gnant, M. (2013). EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer. Annals of Oncology. https://doi.org/10.1093/annonc/mds334

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