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Breast cancer recurrence: factors impacting occurrence and survival

  • University of Galway

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

78 Citations (Scopus)

Abstract

Background: Breast cancer mortality has decreased due to improved screening and treatment options. Nevertheless, 25–30% of patients develop disease recurrence and die from the disease dissemination. Patients who develop metastatic disease represent a heterogeneous group and management plans are dependent on molecular subtype, disease burden and metastatic site. Aim: To determine predictive clinicopathological factors of disease recurrence and their impact on survival in the molecular era. Methods: Consecutive patients who breast cancer developed recurrence at our tertiary referral centre between 2000 and 2015 were included. Clinicopathological and treatment data were assessed using descriptive statistics. Oncological outcome was assessed using Cox regression and Kaplan Meier analyses. Results: Two hundred sixty-five consecutive patients who developed breast cancer recurrence were included; median age at metastasis was 59.3 years (range 27–87 years), and median time to recurrence (TTR) was 47.7 ± 38.5 months (range 3.0–194.3 months). Survival was 24.2% (64/265) 53.2% were luminal A (LABC) (141/265), 18.5% were luminal B (LBBC) (49/265), 18.5% were triple negative (TNBC) (49/265), and 9.8% were human epidermal growth factor receptor-2 overexpressing (HER2 +) (26/265). TTR for patients with LABC was 56.0 ± 41.3 months, LBBC was 48.4 ± 41.1 months, TNBC was 26.9 ± 28.5 months and HER2 + was 34.3 ± 21.8 months. Increased grade (P < 0.001), Nottingham Prognostic Indices (P < 0.001), TNBC (P < 0.001), HER2 + subtype (P < 0.001) and receiving targeted therapy (P = 0.006) predicted shorted TTR. Estrogen receptor positivity (P < 0.001), progesterone receptor positivity (P = 0.010), invasive lobular carcinoma (P = 0.009) and receiving endocrine therapy (P = 0.001) predicted longer TTR. Conclusion: Readily available clinicopathological factors predict risk of metastatic dissemination. Developing a tailored program to identify patients at risk of recurrence is crucial in controlling metastatic dissemination of breast cancer.

Original languageEnglish
Pages (from-to)2501-2510
Number of pages10
JournalIrish Journal of Medical Science
Volume191
Issue number6
DOIs
Publication statusPublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • Metastasis
  • Personalized medicine
  • Recurrence

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