Classical prognostic factors in node-negative breast cancer: the DBCG experience

Area of Science:

• Oncology
• Surgical Oncology
• Breast Cancer Research

Background:

• Classical prognostic factors are crucial for stratifying patients with low-risk primary breast cancer.
• Accurate prognostication aids in treatment decisions and patient management.
• Identifying reliable prognostic markers is essential for optimizing breast cancer care.

Purpose of the Study:

• To analyze classical prognostic factors in patients with low-risk primary breast cancer.
• To determine the most significant predictors of recurrence-free survival in this cohort.
• To establish a baseline for evaluating newer prognostic factors.

Main Methods:

• Retrospective analysis of 7315 patients with low-risk primary breast cancer treated between 1977 and 1990.
• Primary surgical treatment: total mastectomy and lower axillary dissection; no adjuvant therapy.
• Univariate and multivariate analyses were performed to assess prognostic variables.

Main Results:

• Significant factors for recurrence-free survival in univariate analysis included age (premenopausal), tumor size, number of negative nodes, histological grade, and estrogen/progesterone receptor status (premenopausal).
• In multivariate analysis, premenopausal age was the strongest predictor, followed by tumor size and histological grade.
• Progesterone receptor status in premenopausal patients was of borderline significance.

Conclusions:

• Premenopausal age, tumor size, and histological grade are significant prognostic factors for recurrence-free survival in low-risk breast cancer.
• These established factors should be incorporated into multivariate models evaluating novel prognostic markers.
• This study provides a foundation for refining prognostic assessments in breast cancer management.