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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
PubMed
Summary
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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.

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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.