ArticleWorld journal of surgery2014
Time to breast cancer relapse predicted by primary tumour characteristics, not lymph node involvement.
Article in World journal of surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Clinical and pathologic insights into early and late breast cancer relapses: a real-world analysis from the El Álamo IV registry.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- CD4+ T helper 2 cells suppress breast cancer by inducing terminal differentiation.The Journal of experimental medicine · 2022Article
- Beyond Genetics: Metastasis as an Adaptive Response in Breast Cancer.International journal of molecular sciences · 2022Review
- Comparison of Clinical and Pathological Factors Affecting Early and Late Recurrences in Patients with Operable Breast Cancer.Journal of clinical medicine · 2022Article
- [Early Recurrence of Breast Cancer after the Primary Treatment: Analysis of Clinicopathological and Radiological Predictive Factors].Taehan Yongsang Uihakhoe chi · 2020Article
- Cancer recurrence times from a branching process model.PLoS computational biology · 2019Article
- Age distribution and outcomes in patients undergoing breast cancer resection in Saudi Arabia. A single-institute study.Saudi medical journal · 2018Article
- Mammographic density: a potential monitoring biomarker for adjuvant and preventative breast cancer endocrine therapies.Oncotarget · 2017Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe risk of breast cancer recurrence has been linked to tumour size, grade, oestrogen (ER) receptor status, and degree of lymph node (LN) involvement. However, the role of these variables in predicting time to relapse is not well defined. This study was designed to identify patient and primary tumour characteristics that predict risk periods for breast cancer recurrence within our institution, to enable more tailored surveillance strategies.
methodsWe retrospectively studied a cohort of 473 patients who presented to The Queen Elizabeth Hospital, Adelaide, Australia, with recurrent breast cancer between 1968 and 2008. Patient and primary tumour characteristics were collected, including age, menopausal status, tumour grade, size, ER and progesterone receptor (PR) status, and LN involvement and modeled against time to relapse using Kaplan-Meier survival curves.
resultsHigh tumour grade, size ≥ 20 mm, ER negativity, and PR negativity were shown on univariate analysis to correlate significantly with earlier recurrence (P < 0.0001, P = 0.0012, P = 0.0006, and P = 0.006). Multivariate analysis identified tumour grade and size as significant predictors of timing of relapse after adjustment for other variables. LN involvement, menopausal status, and age did not significantly correlate with earlier recurrence.
conclusionsHigh tumour grade and larger size were shown to independently predict earlier breast cancer relapse. While LN involvement increases absolute recurrence risk, our study proposes that it does not influence timing of relapse. Use of these predictors will enable key risk periods for onset of relapse to be characterised according to tumour profile with more appropriate discharge to primary care providers for ongoing surveillance.
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