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Age-related phenotypes in breast cancer: A population-based study
Amalie A Svanøe1, Rasmus O C Humlevik1,2, Gøril Knutsvik1,2
1Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
International Journal of Cancer
|February 6, 2024
Summary
Young women under 40 experience more aggressive breast cancer with higher proliferation. This suggests unique biological features in young patients may offer new treatment opportunities.
Area of Science:
- Oncology
- Pathology
- Genetics
Background:
- Breast cancer in women under 40 often presents with aggressive subtypes and poorer outcomes.
- The underlying biological differences contributing to this disparity remain incompletely understood.
Purpose of the Study:
- To investigate the relationship between age and breast cancer biology, focusing on tumor cell proliferation.
- To compare the biological features of breast cancer in young (<40 years) versus older (50-69 years) patient cohorts.
Main Methods:
- Comparative analysis of clinico-pathologic data, immunohistochemical markers (including Ki67), and survival outcomes.
- Utilized two cohorts: Bergen cohort-1 (<50 years, n=355) and Bergen cohort-2 (50-69 years, n=540).
- Examined differences in tumor subtypes, hormone receptor status, HER2 status, and lymph node metastasis.
Main Results:
- Younger patients (<40) exhibited more aggressive features: hormone receptor negativity, HER2 positivity, lymph node metastasis, and higher rates of HER2-enriched and triple-negative subtypes.
- Age <40 was significantly associated with increased tumor cell proliferation, measured by Ki67.
- Ki67 demonstrated reduced prognostic value in younger breast cancer patients compared to older cohorts.
Conclusions:
- Breast cancer in young women (<40) is characterized by aggressive phenotypes and heightened tumor cell proliferation.
- These distinct biological characteristics in younger patients may necessitate age-specific treatment strategies.
- Further research into these unique biological features could reveal novel therapeutic targets and improve patient outcomes.
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