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Updated: Jul 11, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Breast Cancer Prognosis: A Study on Mortality Indicators
Breast cancer prognosis is improved by identifying key risk factors. This study found tumor size, lymph node status, and specific markers like HER2 predict mortality, aiding clinical treatment decisions.
Area of Science:
- Oncology
- Cancer Research
- Clinical Medicine
Background:
- Accurate breast cancer prognosis is vital for personalized treatment strategies.
- Previous studies identified prognostic markers, but clinical consensus remains elusive.
- This research validates frequent risk factors linked to breast cancer mortality.
Purpose of the Study:
- To validate frequently observed risk factors associated with increased mortality in breast cancer patients.
- To analyze the prognostic value of tumor markers, tumor size, lymph node status, and molecular subtypes.
- To provide insights for clinicians in tailoring breast cancer treatment plans.
Main Methods:
- Retrospective analysis of 213 female patients with Stage IIA-IIIB breast cancer (2014-2020).
- Evaluation of variables including age, disease stage, and treatment type.
- Primary outcome measured by one-year survival rates.
Main Results:
- Elevated preoperative ACE and CA 15-3 levels, larger tumor size, and lymph node invasion correlated with higher mortality.
- Estrogen Receptor (ER) and Progesterone Receptor (PR) positivity were protective; HER2-positive status was a negative prognostic indicator.
- Luminal A subtype showed protective effects, while HER2-positive and Triple-negative subtypes were risk factors.
Conclusions:
- Tumor size, lymph node stage, and specific molecular markers (ER, PR, HER2) significantly predict breast cancer mortality.
- Molecular subtypes (Luminal A, HER2-positive, Triple-negative) play a crucial role in prognosis.
- Findings enhance understanding of breast cancer prognosis and inform clinical management.
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