Literature DB >> 15310775

Use of the University of California Los Angeles integrated staging system to predict survival in renal cell carcinoma: an international multicenter study.

Jean-Jacques Patard1, Hyung L Kim, John S Lam, Frederick J Dorey, Allan J Pantuck, Amnon Zisman, Vincenzo Ficarra, Ken-Ryu Han, Luca Cindolo, Alexandre De La Taille, Jacques Tostain, Walter Artibani, Colin P Dinney, Christopher G Wood, David A Swanson, Claude C Abbou, Bernard Lobel, Peter F A Mulders, Dominique K Chopin, Robert A Figlin, Arie S Belldegrun.   

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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Year:  2004        PMID: 15310775     DOI: 10.1200/JCO.2004.09.104

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  84 in total

1.  Use of the University of California Los Angeles Integrated Staging System (UISS) to predict survival in localized renal cell carcinoma in an Asian population.

Authors:  Chi-Fai Ng; Siu-Ho Wan; Annie Wong; Fernand M M Lai; Pun Hui; Chi-Wai Cheng
Journal:  Int Urol Nephrol       Date:  2006-12-19       Impact factor: 2.370

2.  Locally advanced renal cell carcinoma.

Authors:  Mohammed Al Otaibi; Simon Tanguay
Journal:  Can Urol Assoc J       Date:  2007-06       Impact factor: 1.862

3.  Follow-up guidelines after radical or partial nephrectomy for localized and locally advanced renal cell carcinoma.

Authors:  Wassim Kassouf; Robert Siemens; Christopher Morash; Louis Lacombe; Michael Jewett; Larry Goldenberg; Joseph Chin; Michael Chetner; Christopher G Wood; Simon Tanguay; Armen G Aprikian
Journal:  Can Urol Assoc J       Date:  2009-02       Impact factor: 1.862

Review 4.  Epidemiology, biology and treatment of sarcomatoid RCC: current state of the art.

Authors:  Cedric Lebacle; Aydin Pooli; Thomas Bessede; Jacques Irani; Allan J Pantuck; Alexandra Drakaki
Journal:  World J Urol       Date:  2018-06-01       Impact factor: 4.226

5.  Phase III Trial of Adjuvant Sunitinib in Patients with High-Risk Renal Cell Carcinoma: Exploratory Pharmacogenomic Analysis.

Authors:  Daniel J George; Jean-Francois Martini; Michael Staehler; Robert J Motzer; Ahmed Magheli; Frede Donskov; Bernard Escudier; Sherry Li; Michelle Casey; Olga Valota; Brigitte Laguerre; Allan J Pantuck; Hardev S Pandha; Anup Patel; Maria Lechuga; Alain Ravaud
Journal:  Clin Cancer Res       Date:  2018-11-06       Impact factor: 12.531

6.  Preoperative nomogram predicting 12-year probability of metastatic renal cancer.

Authors:  Ganesh V Raj; R Houston Thompson; Bradley C Leibovich; Michael L Blute; Paul Russo; Michael W Kattan
Journal:  J Urol       Date:  2008-04-18       Impact factor: 7.450

7.  Sensitivity analysis to investigate the impact of a missing covariate on survival analyses using cancer registry data.

Authors:  Brian L Egleston; Yu-Ning Wong
Journal:  Stat Med       Date:  2009-05-01       Impact factor: 2.373

Review 8.  Adjuvant Therapy Options in Renal Cell Carcinoma: Where Do We Stand?

Authors:  Nieves Martinez Chanza; Abhishek Tripathi; Lauren C Harshman
Journal:  Curr Treat Options Oncol       Date:  2019-05-03

9.  Chest X-ray in the follow-up of renal cell carcinoma.

Authors:  B H J Doornweerd; I J de Jong; L M Bergman; H J K Ananias
Journal:  World J Urol       Date:  2013-10-06       Impact factor: 4.226

Review 10.  Renal cell carcinoma: risk assessment and prognostic factors for newly diagnosed patients.

Authors:  Tracy M Downs; Matthew Schultzel; Helen Shi; Catherine Sanders; Zunera Tahir; Georgia Robins Sadler
Journal:  Crit Rev Oncol Hematol       Date:  2008-11-06       Impact factor: 6.312

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