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Updated: Mar 3, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Risk models for patients with localised renal cell carcinoma
J M Velis1, F J Ancizu1, M Hevia1
1Departamento de Urología, Clínica Universidad de Navarra, Pamplona, España.
Introduction:
We conducted a retrospective analysis of our series to assess the factors that influenced disease-free survival (DFS) and cancer-specific survival (CSS) for patients with localised renal cell carcinoma (RCC). We also created our own risk groups.
Material And Methods:
Between January 1990 and December 2012, 596 patients underwent surgery for localised RCC (clear cell, papillary or chromophobe). Using Cox regression models, we analysed the clinical-pathological variables that influenced DFS and CSS and designed risk groups for DFS and CSS with the variables.
Results:
The median follow-up for the series was 5.96 years. By the end of the study, 112 patients (18.8%) had a recurrence of the disease, with DFS rates of 82%, 77% and 72% at 5, 10 and 15 years, respectively. The independent factors that influenced DFS in the multivariate study were the following: A Furhman grade of 3-4, haematuria, lymphocytic or vascular invasion, the presence of tumour necrosis and a disease stage pT3-pT4. Furthermore, by the end of the study, 57 patients (9.6%) died due to renal cancer, with CSS rates of 92%, 86% and 83% at 5, 10 and 15 years, respectively. The independent factors that influenced CSS in the multivariate study were the following: A Furhman grade of 3-4, perinephric fat invasion and the presence of tumour necrosis.
Conclusions:
Factors in addition to the disease stage pT3-pT4 in patients with localised RCC are important, such as the presence of haematuria and lymphocytic or vascular invasion for DFS. A Furhman grade of 3-4 and the presence of tumour necrosis are especially relevant for DFS and CSS.
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