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PMID: 12655523 Published · ppublish English Journal Article

Prediction of progression after radical nephrectomy for patients with clear cell renal cell carcinoma: a stratification tool for prospective clinical trials.

Cancer ·Vol. 97 ·No. 7 ·2003-04-01 ·Pages 1663-71

Leibovich BC, Blute ML, Cheville JC, Lohse CM, Frank I, Kwon ED, Weaver AL, Parker AS, Zincke H

Abstract

The objective of the current study was to develop an algorithm to predict progression to metastases after radical nephrectomy for patients with clinically localized renal cell carcinoma (RCC) to allow stratification of patients for potential adjuvant therapy trials. The authors identified 1671 sporadic patients with clinically localized, unilateral clear cell RCC who underwent radical nephrectomy between 1970 and 2000. The clinical features examined included age, gender, smoking history, recent onset hypertension, performance status, and presenting symptoms. The pathologic features examined included surgical margins, tumor stage, regional lymph node status, tumor size, nuclear grade, histologic tumor necrosis, sarcomatoid component, cystic architecture, and multifocality. Metastases free survival was estimated using the Kaplan-Meier method. A multivariate Cox proportional hazards regression model was fit to determine associations between the clinical and pathologic features and distant metastases. The median follow-up was 5.4 years (range, 0-31 years). Metastases occurred in 479 patients at a median of 1.3 years (range, 0-25 years) after nephrectomy. The estimated metastases free survival rates were 86.9% at 1 year, 77.8% at 3 years, 74.1% at 5 years, 70.8% at 7 years, and 67.1% at 10 years. Multivariate analysis showed that the following features were associated with progression to metastases: tumor stage, regional lymph node status, tumor size, nuclear grade, and histologic tumor necrosis (P < 0.001 for all). In patients with clear cell RCC, tumor stage, regional lymph node status, tumor size, nuclear grade, and histologic tumor necrosis showed statistically significant associations with progression to metastatic RCC. The authors present a scoring algorithm based on these features that can be used to predict disease progression after patients undergo radical nephrectomy for clinically localized clear cell RCC. Cancer 2003;97:1663-71.

MeSH Terms
Adenocarcinoma, Clear Cell/pathology,surgery Adult Aged Algorithms Clinical Trials as Topic Disease-Free Survival Female Humans Kidney Neoplasms/pathology,surgery Male Middle Aged Neoplasm Metastasis Nephrectomy
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Leibovich Bradley C
Department of Urology, Mayo Medical School and Mayo Clinic, Rochester, Minnesota 55905, USA. leibovich.bradley@mayo.edu
Blute Michael L
Cheville John C
Lohse Christine M
Frank Igor
Kwon Eugene D
Weaver Amy L
Parker Alexander S
Zincke Horst
Article Info
Journal
Cancer
Abbr.
Cancer
ISSN
0008-543X
Published
2003-04-01
Pages
1663-71
Language
English
Region
United States
NLM ID
0374236
Subset
IM
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