Molecular Subtype Classification and Sentinel Node Positivity in Early Breast Cancer
Author Information
Author(s): Reyal Fabien, Rouzier Roman, Depont-Hazelzet Berenice, Bollet Marc A., Pierga Jean-Yves, Alran Severine, Salmon Remy J., Fourchotte Virginie, Vincent-Salomon Anne, Sastre-Garau Xavier, Antoine Martine, Uzan Serge, Sigal-Zafrani Brigitte, De Rycke Yann
Primary Institution: Institut Curie, Paris, France
Hypothesis
The study aims to decipher the interaction between molecular subtype classification and the probability of a positive sentinel node biopsy in early breast cancer patients.
Conclusion
The molecular subtype classification significantly interacts with the axillary and distant metastasis processes in breast cancer.
Supporting Evidence
- The interaction between ER and HER2 status was a stronger predictor of positive sentinel node biopsy than ER status alone.
- The multivariate model showed similar results in terms of discrimination and calibration across training and validation sets.
- Patients with ER negative HER2 negative breast cancer had a lower rate of axillary metastasis.
Takeaway
This study found that the type of breast cancer can help predict whether cancer has spread to the lymph nodes, which is important for treatment decisions.
Methodology
A multivariate logistic regression model was used to analyze data from early-stage breast cancer patients treated with sentinel node biopsies.
Limitations
The study excluded patients receiving neoadjuvant treatment and those with locoregional recurrence.
Participant Demographics
Patients included were early-stage breast cancer patients treated at various hospitals in France.
Statistical Information
P-Value
p=0.0031
Confidence Interval
95% CI, 0.69–0.75
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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