Use of the University of California Los Angeles Integrated Staging System to Predict Survival in Renal Cell Carcinoma: An International Multicenter Study

Jean‐Jacques Patard(Federico II University Hospital), Hyung L. Kim(Federico II University Hospital), John S. Lam(Federico II University Hospital), Frederick J. Dorey(Federico II University Hospital), Allan J. Pantuck(Federico II University Hospital), Amnon Zisman(Federico II University Hospital), Vincenzo Ficarra(Federico II University Hospital), Ken‐ryu Han(Federico II University Hospital), Luca Cindolo(Federico II University Hospital), Alexandre de la Taille(Federico II University Hospital), Jacques Tostain(Federico II University Hospital), Walter Artibani(Federico II University Hospital), Colin P. Dinney(Federico II University Hospital), Christopher G. Wood(Federico II University Hospital), David A. Swanson(Federico II University Hospital), C.C. Abbou(Federico II University Hospital), Bernard Lobel(Federico II University Hospital), Peter F.A. Mulders(Federico II University Hospital), Dominique Chopin(Federico II University Hospital), Robert A. Figlin(Federico II University Hospital), Arie S. Belldegrun(Federico II University Hospital)
Journal of Clinical Oncology
August 14, 2004
Cited by 420

Abstract

PURPOSE: To evaluate ability of the University of California Los Angeles Integrated Staging System (UISS) to stratify patients with localized and metastatic renal cell carcinoma (RCC) into risk groups in an international multicenter study. PATIENTS AND METHODS: 4,202 patients from eight international academic centers were classified according to the UISS, which combines TNM stage, Fuhrman grade, and Eastern Cooperative Oncology Group performance status. Distribution of the UISS categories was assessed in the overall population and in each center. RESULTS: The UISS stratified both localized and metastatic RCC into three different risk groups (P <.001). For localized RCC, the 5-year survival rates were 92%, 67%, and 44% for low-, intermediate-, and high-risk groups, respectively. A trend toward a higher risk of death was observed in all centers for increasing UISS risk category. For metastatic RCC, the 3-year survival rates were 37%, 23%, and 12% for low-, intermediate-, and high-risk groups, respectively; in 6 of 8 centers, a trend toward a higher risk of death was observed for increasing UISS risk category. A greater variability in survival rates among centers was observed for high-risk patients. CONCLUSION: This study defines the general applicability of the UISS for predicting survival in patients with RCC. The UISS is an accurate predictor of survival for patients with localized RCC applicable to external databases. Although the UISS may be useful for patients with metastatic RCC, it may be less accurate in this subset of patients due to the heterogeneity of patients and treatments.


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