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A Comprehensive Prognostic Stratification for Patients with Metastatic Renal Clear Cell Carcinoma
PURPOSE: To develop a reliable prognostic model for patients with metastatic renal cell carcinoma (RCC) based on features readily available in common clinical settings. PATIENTS AND METHODS: A total of 197 patients with RCC who underwent nephrectomy and immunotherapy from 1995 to 2004 were retrospec...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2615339/ https://www.ncbi.nlm.nih.gov/pubmed/18581596 http://dx.doi.org/10.3349/ymj.2008.49.3.451 |
Sumario: | PURPOSE: To develop a reliable prognostic model for patients with metastatic renal cell carcinoma (RCC) based on features readily available in common clinical settings. PATIENTS AND METHODS: A total of 197 patients with RCC who underwent nephrectomy and immunotherapy from 1995 to 2004 were retrospectively reviewed. Their mean age was 55.1 ± 11.8 yrs (24 - 83 yrs) and mean survival time from metastasis was 22.6 ± 20.2 mos (3 - 120 mos). The impact of 24 clinicopathological features on disease specific survival was investigated. RESULTS: On univariate analysis, constitutional symptoms, sarcomatoid differentiation, tumor necrosis, multiple primary lesions, liver metastasis, Eastern Cooperative Oncology Group Performance Status (ECOG-PS), thrombocytosis, alkaline phosphatase, hematocrit, T stage, N stage, and nuclear grade had significant influence on survival (p < 0.05). Multivariate analysis revealed the following features associated with survival: sarcomatoid differentiation [hazard ratio (HR) = 2.99, p < 0.001], liver metastasis (HR = 2.09, p = 0.002), ECOG-PS (HR = 1.95, p = 0.005), N stage (HR = 1.94, p = 0.002), and number of metastatic sites (HR = 1.76, p = 0.003). An individual prognostic score was defined as the sum of the weight of these features. According to prognostic scores, patients could be subdivided into 3 groups: low risk (score 0), intermediate risk (score 1 or 2), and high risk (score ≥ 3). CONCLUSION: A comprehensive prognostic stratification model was developed to predict survival and stratify patients for prospective clinical trials. |
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