Related Experiment Videos
Prognostic value of initial tumor parameters after metastatic relapse
E Planchat1, X Durando, C Abrial
1Division of Clinical Research, Jean Perrin Comprehensive Cancer Centre, Clermont-Ferrand, France.
Cancer Investigation
|October 21, 2011
Summary
Classical prognostic factors for breast cancer, including age, Scarff-Bloom-Richardson grade, and lymph node involvement, significantly predict metastatic survival (MS). These factors are crucial for clinicians to consider when choosing treatments for non-metastatic breast cancer patients.
Area of Science:
- Oncology
- Cancer Research
- Clinical Medicine
Background:
- Classical prognostic factors in breast cancer are established predictors of disease-free and overall survival (OS).
- The specific impact of these factors on metastatic disease progression and survival remains less understood.
- Accurate prognostication is vital for guiding treatment decisions in breast cancer management.
Purpose of the Study:
- To evaluate the role of classical prognostic factors in predicting metastatic survival (MS) in breast cancer patients.
- To identify significant independent prognostic factors for MS in a cohort of patients treated for non-metastatic breast cancer.
- To inform clinical decision-making by understanding the interplay between initial prognostic parameters and metastatic outcomes.
Main Methods:
- A retrospective analysis of 511 breast cancer patients initially without metastasis.
- Division of overall survival (OS) into time to distant recurrence and metastatic survival (MS).
- Univariate and multivariate analyses were performed using factors such as age, Scarff-Bloom-Richardson (SBR) grade, hormone receptor status, axillary node involvement, and Nottingham prognostic index.
Main Results:
- Univariate analysis identified age, SBR grade, hormone receptor status, axillary node involvement, and Nottingham prognostic index as predictors of MS.
- Multivariate analysis revealed age, SBR grade, and axillary lymph node involvement as significant independent prognostic factors for MS.
- The study noted persistent interactions between initial patient parameters and metastatic survival outcomes.
Conclusions:
- Age, Scarff-Bloom-Richardson grade, and axillary lymph node involvement are key independent predictors of metastatic survival in breast cancer.
- These prognostic factors are essential considerations for clinicians when determining treatment strategies for patients with non-metastatic breast cancer.
- Further understanding of these interactions can refine prognostication and personalize treatment approaches.
Related Concept Videos
Tumor Progression
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...