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Updated: Jul 15, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Impact of clinicopathological parameters in patients treated for renal cell carcinoma
Marcos F Dall'Oglio1, Marco A Arap, Alberto A Antunes
1Division of Urology, University of São Paulo Medical School, São Paulo, Brazil. marcosdallogliouro@terra.com.br
Purpose:
We determined the impact of clinical and pathological factors in the outcome of patients with renal cell carcinoma treated surgically.
Materials And Methods:
We retrospectively reviewed the records of 230 consecutive patients after radical or partial nephrectomy. We analyzed clinical (incidental or symptomatic disease) and pathological (tumor size, histological type, Fuhrman nuclear grade, microvascular invasion and lymph node involvement) parameters. Disease-free and cancer specific survival curves were individualized for each parameter and on multivariate analysis.
Results:
Median postoperative followup was 34.3 months, median time to recurrence was 22 months and mean overall survival was 130 months. A total of 40 patients (17.3%) presented with local and/or metastatic recurrence and 32 (13.9%) died of the disease. Five-year disease-free and cancer specific survival rates on univariate analysis were 56.7% and 64% for symptomatic tumors, 76.6% and 68% for clear cell carcinoma, 26.9% and 39% for sarcomatoid tumors, 34.7% and 47.5% for high grade tumors, 26.7% and 39.7% for microvascular invasion, 37.5% and 49.1% for tumors larger than 7 cm, and 11% and 32% for lymph node involvement, respectively. On univariate analysis patients with lymph node involvement and microvascular invasion had a poor prognosis. Multivariate analysis showed that the single independent prognostic factor was microvascular invasion.
Conclusions:
This study points out different clinical and pathological prognostic factors of survival in patients treated for renal cell carcinoma. Microvascular invasion was the only independent prognostic factor on multivariate analysis.
