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Published on: December 26, 2016
Prognostic factors for breast cancer progression
Yulia Chuprovska1, Volodymyr Bodiaka1, Oleksandr Ivashchuk1
1BUKOVINIAN STATE MEDICAL UNIVERSITY, CHERNIVTSI, UKRAINE.
Summary
This study identifies key factors influencing breast cancer progression after treatment, aiding in predicting outcomes for patients with different tumor types and stages. A prognostic model shows 75% sensitivity and specificity for predicting progression.
Area of Science:
- Oncology
- Clinical Research
Background:
- Breast cancer is a complex disease with varied progression patterns.
- Understanding factors influencing tumor progression post-treatment is crucial for patient management.
Purpose of the Study:
- To analyze clinical and laboratory features of breast cancer progression.
- To evaluate the impact of disease stage and molecular tumor type on progression.
- To determine the prognostic value of various factors in breast cancer.
Main Methods:
- Retrospective analysis of 701 breast cancer patient records.
- Patients categorized into 'without tumor progression' (67.3%) and 'with tumor progression' (32.7%) groups.
- Kullback method used to assess indicator informativeness; statistical analysis via Microsoft Excel and PAST software.
Main Results:
- Tumor progression is more frequent in Stage III, Luminal B, HER2-positive, and Triple-negative breast cancers.
- Progression correlates with longer disease history, larger primary tumors, and increased comorbidities.
- A prognostic table for breast cancer progression after complex treatment was developed.
Conclusions:
- A prognostic model for breast cancer progression was established.
- The model predicts absence of progression, uncertain prognosis, and progression with 75% sensitivity and 75% specificity.
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