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Intra-patient variation between breast cancer axillary lymph node metastases using quantifiable features
P J van Diest1, J C Fleege, E Matze-Cok
1Institute for Pathology, Free University Hospital, Amsterdam, The Netherlands.
Histopathology
|September 1, 1992
Summary
Breast cancer patients show significant intra-patient variation in axillary lymph node metastases. Quantifiable features like mitotic count vary biologically, not just due to measurement error, suggesting independent tumor clone origins.
Area of Science:
- Oncology
- Pathology
- Cancer Biology
Background:
- Axillary lymph node metastases are critical for breast cancer staging and prognosis.
- Understanding intra-patient heterogeneity in metastases is essential for accurate treatment strategies.
Purpose of the Study:
- To evaluate intra-patient variations in clinically relevant quantifiable features between axillary lymph node metastases in breast cancer.
- To determine if observed variations exceed methodological tolerance limits, indicating true biological differences.
Main Methods:
- Analyzed 44 breast cancer patients with varying numbers of axillary lymph node metastases (2-33 per patient).
- Quantified mitotic figures, volume percentage epithelium, and mean nuclear area within each metastasis.
- Calculated the coefficient of variation (CV) for each feature and compared it to established methodological tolerance limits.
Main Results:
- Significant intra-patient variation was observed: CVs exceeded methodological limits in 86% for mitotic count, 48% for epithelium volume, and 47% for nuclear area.
- These variations are unlikely due to sampling or measurement errors, indicating real biological differences.
- Higher variation correlated positively with the number of lymph node metastases.
Conclusions:
- Considerable biological variation exists in quantifiable features between axillary lymph node metastases within individual breast cancer patients.
- This heterogeneity may stem from independent origins of metastases from different tumor clones or distinct developmental pathways.
- Findings highlight the importance of accounting for tumor heterogeneity in breast cancer management.