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Multi-institutional validation of a symptom based classification for renal cell carcinoma
Jean-Jacques Patard1, Emmanuelle Leray, Luca Cindolo
1Department of Urology, Rennes University Hospital, CHU Pontchaillou, rue Henri Le Guilloux, 35033 Rennes, France. jean-jacques.patard@chu-rennes.fr
The Journal of Urology
|August 18, 2004
Summary
This study validates a symptom-based classification (S classification) for cancer prognosis. The S classification, alongside other factors, proved to be an independent predictor of cancer-specific survival.
Area of Science:
- Oncology
- Clinical Prognostics
Background:
- Accurate cancer prognosis is crucial for treatment planning and patient management.
- Symptom presentation at diagnosis can significantly impact patient outcomes.
Purpose of the Study:
- To validate the prognostic value of a symptom-based classification (S classification) in a multi-institutional setting.
- To assess the S classification's independent prognostic contribution in cancer survival.
Main Methods:
- A cohort of 2,242 patients from 5 European centers was analyzed.
- Patients were stratified into S1 (asymptomatic), S2 (local symptoms), and S3 (systemic symptoms) groups.
- Univariate and multivariate analyses (Kaplan-Meier, Cox regression) were performed.
Main Results:
- The S classification correlated with tumor stage, grade, and ECOG performance status (p <0.001).
- S classification, TNM stage, Fuhrman grade, and specific invasion types were significant prognostic factors on univariate analysis.
- S classification remained an independent prognostic factor in multivariate analysis (p <0.001).
Conclusions:
- Symptom severity can be effectively graduated for prognostic purposes.
- The proposed symptom score warrants evaluation for integration into clinical prognostic algorithms.