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Updated: Aug 10, 2026

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Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Node-negative breast carcinoma treated without adjuvant systemic therapy
C A Spaulding1, G Goldstein, G Morrison
1Division of Therapeutic Radiology and Oncology, University of Virginia Health Sciences Center, Charlottesville 22908.
Southern Medical Journal
|April 1, 1992
Summary
This study found that tumor size was the only significant factor predicting outcomes in node-negative invasive breast cancer patients not receiving adjuvant therapy. Older patients (70+) were more likely to die without recurrence.
Area of Science:
- Oncology
- Breast Cancer Research
- Clinical Trials
Background:
- Adjuvant systemic therapy is standard for node-negative invasive breast cancer.
- Historical treatment approaches without adjuvant therapy provide valuable insights into disease progression and prognosis.
Purpose of the Study:
- To evaluate the long-term outcomes of node-negative invasive breast cancer patients treated without adjuvant systemic therapy.
- To identify significant prognostic indicators for survival and relapse in this patient cohort.
Main Methods:
- Prospective study of 167 consecutive patients with node-negative invasive breast cancer.
- Treatment administered without adjuvant systemic therapy between 1974 and 1984.
- Median follow-up of 84 months; analysis of overall survival, adjusted survival, and relapse-free survival.
Main Results:
- Five-year overall survival was 81% (66% at 10 years); adjusted survival rates were 91% (83% at 10 years).
- Relapse-free survival rates were 74% at 5 years and 61% at 10 years.
- Tumor size was the only independently significant prognostic factor by multivariate analysis (P < .0125); patient age influenced mortality without recurrence.
Conclusions:
- Tumor size is a critical independent predictor of outcomes in node-negative invasive breast cancer.
- Adjuvant systemic therapy decisions should consider patient age, particularly for those aged 70 and older.
- This historical data highlights the importance of tumor characteristics in predicting breast cancer prognosis.
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