Validation of the current prognostic models for nonmetastatic renal cell carcinoma after nephrectomy in Chinese population: a 15-year single center experience.

OBJECTIVES: To explore the applicability of the current prognostic models for nonmetastatic renal cell carcinoma in the Chinese population based on a single center experience. METHODS: Clinical and pathological variables of 653 nonmetastatic renal cell carcinoma patients were retrospectively reviewed. Seven models were used to predict the prognosis, including the Yaycioglu model, the Cindolo model, the University of California Los Angeles Integrated Staging System model, the stage, size, grade, and necrosis model, the Kattan nomogram, the Sorbellini nomogram and the Karakiewicz nomogram. Three different end-points were used for validation, including overall survival, cancer-specific survival, and recurrence-free survival. Survival was estimated using the Kaplan-Meier method. Discriminating ability was assessed using the Harrell's concordance-index. RESULTS: At the last follow up, 159 patients had died due to various causes, and disease recurrence occurred in 156 patients. The discriminating ability of all models was confirmed in the Chinese population. Nomograms discriminate better than algorithms, regardless of end-points. The Kattan nomogram was the most accurate, with the highest concordance-indexes of 0.752, 0.793 and 0.841 for overall survival, cancer-specific survival, and recurrence-free survival, respectively. CONCLUSIONS: The current prognostic models were developed and validated entirely based on Caucasian populations. This study defines the general applicability of the models for Chinese patients with nonmetastatic renal cell carcinoma treated with nephrectomy. The Kattan model was found to be the most accurate. The Cindolo model performed well in some situations, although only including clinical presentation and size of tumor. Therefore, models should be chosen according to different environments and purposes.

Prognostic implication of p27Kip1, Skp2 and Cks1 expression in renal cell carcinoma: a tissue microarray study.

BACKGROUND: p27Kip1 plays a major role as a negative regulator of the cell cycle. The regulation of p27Kip1 degradation is mediated by its specific ubiquitin ligase subunits S-phase kinase protein (Skp) 2 and cyclin-dependent kinase subunit (Cks) 1. However, little is known regarding the prognostic utility of p27Kip1, Skp2 and Cks1 expression in renal cell carcinoma. METHODS: Immunohistochemistry was performed for p27Kip1, Skp2 and Cks1 in tissue microarrays of 482 renal cell carcinomas with follow-up. The data were correlated with clinicopathological features. The univariate and multivariate survival analyses were also performed to determine their prognostic significance. RESULTS: Immunoreactivity of p27Kip1, Skp2 and Cks1 was noted in 357, 71 and 82 patients, respectively. Skp2 and Cks1 expression were not noted in chromophobe cancers. A strong correlation was found between Skp2 and Cks1 expression (P < 0.001), both of which were inversely related to p27Kip1 levels (P = 0.006 and P < 0.001), especially in primary and clear-cell cancers. Low p27Kip1 expression and Skp2 expression were correlated with larger tumor size and higher stage, as well as tumor necrosis. Cks1 expression was only correlated with tumor size. In univariate analysis, low p27Kip1 expression, Skp2 and Cks1 expression were all associated with a poor prognosis, while in multivariate analysis, only low p27Kip1 expression were independent prognostic factors for both cancer specific survival and recurrence-free survival in patients with RCC. CONCLUSION: Our results suggest that immunohistochemical expression levels of p27Kip1, Skp2 and Cks1 may serve as markers with prognostic value in renal cell carcinoma.