Identification of factors predicting recurrence of breast cancer is a long-standing goal, ranging from classical clinicopathological factors through to immunohistochemical assays of receptor levels and, more recently, the expression levels of several genes. A new paper now explores novel expression markers, especially for late recurrence of oestrogen receptor-positive breast cancer.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Pan, H. et al. 20-year risks of breast-cancer recurrence after stopping endocrine therapy at 5 years. N. Engl. J. Med. 377, 1836–1846 (2017).
Cuzick, J. et al. Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the genomic health recurrence score in early breast cancer. J. Clin. Oncol. 29, 4273–4278 (2011).
Dowsett, M. et al. Integration of clinical variables for the prediction of late distant recurrence in patients with estrogen receptor-positive breast cancer treated with 5 years of endocrine therapy: CTS5. J. Clin. Oncol. 36, 1941–1948 (2018).
Waks, A. G. & Winer, E. P. Breast cancer treatment: a review. JAMA 321, 288–300 (2019).
Sestak, I. et al. Comparison of the performance of 6 prognostic signatures for estrogen receptor-positive breast cancer: a secondary analysis of a randomized clinical trial. JAMA Oncol. 4, 545–553 (2018).
Cheng, L. et al. Hazard of recurrence among women after primary breast cancer treatment-a 10-year follow-up using data from SEER-Medicare. Cancer Epidemiol. Biomarkers Prev. 21, 800–809 (2012).
Hamadeh, I. S. et al. Personalizing aromatase inhibitor therapy in patients with breast cancer. Cancer Treat. Rev. 70, 47–55 (2018).
Rueda, O. M. et al. Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups. Nature 567, 399–404 (2019).
Gellert, P. et al. Breast cancer treatment: a review. JAMA 321, 288–300 (2019).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares that he is a consultant for Myriad Genetics, who market the EndoPredict assay (EPclin).
Rights and permissions
About this article
Cite this article
Cuzick, J. Predicting late recurrence in ER-positive breast cancer. Nat Rev Clin Oncol 16, 406–408 (2019). https://doi.org/10.1038/s41571-019-0228-y
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41571-019-0228-y
This article is cited by
-
High FOXA1 protein expression might predict late recurrence in patients with estrogen-positive and HER2-negative breast cancer
Breast Cancer Research and Treatment (2020)
