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Prognostic models for breast cancer: A narrative review
1Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Human Pathology
|June 13, 2025
Summary
This review covers breast cancer prognostic models used in clinical practice. Understanding these models, which predict patient outcomes using clinical and pathological factors, is vital for personalized cancer care.
Area of Science:
- Oncology
- Pathology
- Clinical Decision Making
Background:
- Cancer prognostic models estimate patient outcomes using risk factors, aiding clinical decisions.
- Accurate prediction of survival and recurrence is key for effective patient management.
- Breast cancer prognostic models vary in development, factors, outcomes, and utility.
Purpose of the Study:
- To review commonly used breast cancer prognostic models in clinical practice.
- To highlight the importance of pathology in assessing prognostic factors.
- To emphasize the role of prognostic models in personalized patient care.
Main Methods:
- This study presents a narrative review of existing literature.
- Focuses on prognostic models relevant to breast cancer.
- Considers models utilizing clinical and pathological parameters.
Main Results:
- Numerous breast cancer prognostic models exist, differing in methodology and application.
- Pathological assessment is crucial for identifying prognostic factors.
- Models aim to stratify patients into risk groups for tailored treatment.
Conclusions:
- Understanding breast cancer prognostic models is essential for pathologists and clinicians.
- Accurate prognostic assessment supports personalized medicine and improved patient outcomes.
- Continued calibration and validation of models ensure their clinical utility.
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