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Recurrence Patterns in Breast Cancer: A Single-Center Retrospective Analysis
Cristina Marinela Oprean1,2,3, Teodora Hoinoiu4,5,6, Larisa Maria Badau2,7
1ANAPATMOL Research Center, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square No. 2, 300041 Timisoara, Romania.
Recurrence of breast cancer is more common in advanced stages (II-III) and luminal B subtypes, particularly in postmenopausal women aged 51-70. Understanding these factors improves patient survival rates.
Area of Science:
- Oncology
- Cancer Research
- Epidemiology
Background:
- Breast cancer recurrence poses significant challenges in diagnosis and treatment.
- Risk of recurrence is elevated in advanced stages and within two years post-treatment.
- Accurate staging and monitoring are vital for effective breast cancer management.
Purpose of the Study:
- To identify key indicators of breast cancer recurrence.
- To analyze recurrence patterns in relation to disease stage, molecular subtype, and patient demographics.
- To improve disease-free and overall survival rates through better understanding of recurrence.
Main Methods:
- Retrospective cohort study of 98 patients with invasive breast cancer recurrence (Stages I-III).
- Data collected from 744 patients diagnosed and treated between 2007 and 2024.
- Analysis included treatment history, disease stage, molecular subtype, tumor characteristics, and recurrence type.
Main Results:
- Distant recurrence (71.4%) was more common than local recurrence (25.5%).
- Stage II (40.8%) and Stage III (55.1%) breast cancer, and luminal B subtype (43.87%) were associated with higher recurrence risk.
- Postmenopausal women aged 51-70, tumors 2-5 cm, and urban living environments showed increased recurrence rates.
Conclusions:
- Advanced stage at diagnosis and luminal B subtype are key factors for local recurrence in postmenopausal women.
- Patient age, primary tumor location, and prior aromatase inhibitor use may influence recurrence risk.
- Further research on postmenopausal breast cancer recurrence is needed for precise disease understanding.
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