The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The EndoPredict score provides prognostic information on late distant metastases in ER+/HER2− breast cancer patients
Open accessAbstract
BACKGROUND: ER+/HER2- breast cancers have a proclivity for late recurrence. A personalised estimate of relapse risk after 5 years of endocrine treatment can improve patient selection for extended hormonal therapy. METHODS: A total of 1702 postmenopausal ER+/HER2- breast cancer patients from two adjuvant phase III trials (ABCSG6, ABCSG8) treated with 5 years of endocrine therapy participated in this study. The multigene test EndoPredict (EP) and the EPclin score (which combines EP with tumour size and nodal status) were predefined in independent training cohorts. All patients were retrospectively assigned to risk categories based on gene expression and on clinical parameters. The primary end point was distant metastasis (DM). Kaplan-Meier method and Cox regression analysis were used in an early (0-5 years) and late time interval (>5 years post diagnosis). RESULTS: EP is a significant, independent, prognostic parameter in the early and late time interval. The expression levels of proliferative and ER signalling genes contribute differentially to the underlying biology of early and late DM. The EPclin stratified 64% of patients at risk after 5 years into a low-risk subgroup with an absolute 1.8% of late DM at 10 years of follow-up. CONCLUSION: The EP test provides additional prognostic information for the identification of early and late DM beyond what can be achieved by combining the commonly used clinical parameters. The EPclin reliably identified a subgroup of patients who have an excellent long-term prognosis after 5 years of endocrine therapy. The side effects of extended therapy should be weighed against this projected outcome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Cited by
Curigliano, G., Burstein, H. J., Winer, E. P., Gnant, M., Dubsky, P., Loibl, S., Colleoni, M., Regan, M. M., Piccart-Gebhart, M., Senn, H.-J., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx308 · Cited by 1,205
Self-citationTumor Heterogeneity in Breast Cancer
Turashvili, G., & Brogi, E. (2017) · Frontiers in Medicine · doi:10.3389/fmed.2017.00227 · Cited by 561
Duffy, M. J., Harbeck, N., Nap, M., Molina, R., Nicolini, A., Senkus, E., & Cardoso, F. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2017.01.017 · Cited by 522
Biology of breast cancer in young women
Azim, H. A., & Partridge, A. H. (2014) · Breast Cancer Research · doi:10.1186/s13058-014-0427-5 · Cited by 466
Metadata
- Authors
- on behalf of the Austrian Breast and Colorectal Cancer Study Group (ABCSG), Dubsky, P., Brase, J. C., 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., Fisch, K., Kronenwett, R., Gnant, M., & Filipits, M.
- Venue
- British Journal of Cancer
- Published
- 2013-10-24
- Volume
- 109
- Issue
- 12
- Pages
- 2959-2964
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W1980538358
- Cited by
- 350
- References
- 1
- FWCI
- 10.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The EndoPredict score provides prognostic information on late distant metastases in ER+/HER2− breast cancer patients. https://app.cochat.ai/papers/10.1038/bjc.2013.671
- The paper
- on behalf of the Austrian Breast and Colorectal Cancer Study Group (ABCSG), Dubsky, P., Brase, J. C., 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., Fisch, K., Kronenwett, R., . . . Filipits, M. (2013). The EndoPredict score provides prognostic information on late distant metastases in ER+/HER2− breast cancer patients. British Journal of Cancer. https://doi.org/10.1038/bjc.2013.671
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.