Andras Javorhazy1, Nelli Farkas2, Tamas Beothe1, Csaba Pusztai1, Arpad Szanto1, Gyula Kovacs3. 1. Department of Urology, Medical School, University of Pecs, Munkacsy M. u. 2, Pecs, 7621, Hungary. 2. Institute of Bioanalysis, Medical School, University of Pecs, Pecs, Hungary. 3. Department of Urology, Medical School, University of Pecs, Munkacsy M. u. 2, Pecs, 7621, Hungary. G.Kovacs@gmx.de.
Abstract
PURPOSE: In spite of early detection of conventional renal cell carcinoma (RCC) by widespread use of abdominal imaging, approximately 10-15 % of patients will die due to disease. The aim of this study was to identify new biomarkers predicting the postoperative progression of conventional RCC. METHODS: Tissue multiarrays (TMA) of conventional RCC from a cohort of 486 patients were analysed by immunohistochemistry for expression of the transmembrane protein TMEM27, which was identified as a candidate biomarker by Affymetrix U133 Plus 2.0 array. Univariate and multivariate Cox regression models were addressed to assess cancer-specific survival in association with clinicopathological variables and TMEM27 expression. Cancer-specific survival time was estimated with Kaplan-Meier analysis, and the comparison of survival curves was made with the log-rank test. RESULTS: The Kaplan-Meier survival analysis indicated a poor disease-specific survival rates for tumours without TMEM27 staining. Univariate analysis revealed an association of patient survival with T stadium, grade, stage and size of tumour and TMEM27 expression in all cases as well as in the cohort of patients with postoperative tumour progression. In multivariate analysis, only T stadium and TMEM27 staining showed a significant association with postoperative cancer-specific death (p < 0.001). CONCLUSIONS: Lack of expression of the TMEM27 in conventional RCC defines a group of patients at high risk for cancer-related death.
PURPOSE: In spite of early detection of conventional renal cell carcinoma (RCC) by widespread use of abdominal imaging, approximately 10-15 % of patients will die due to disease. The aim of this study was to identify new biomarkers predicting the postoperative progression of conventional RCC. METHODS: Tissue multiarrays (TMA) of conventional RCC from a cohort of 486 patients were analysed by immunohistochemistry for expression of the transmembrane protein TMEM27, which was identified as a candidate biomarker by Affymetrix U133 Plus 2.0 array. Univariate and multivariate Cox regression models were addressed to assess cancer-specific survival in association with clinicopathological variables and TMEM27 expression. Cancer-specific survival time was estimated with Kaplan-Meier analysis, and the comparison of survival curves was made with the log-rank test. RESULTS: The Kaplan-Meier survival analysis indicated a poor disease-specific survival rates for tumours without TMEM27 staining. Univariate analysis revealed an association of patient survival with T stadium, grade, stage and size of tumour and TMEM27 expression in all cases as well as in the cohort of patients with postoperative tumour progression. In multivariate analysis, only T stadium and TMEM27 staining showed a significant association with postoperative cancer-specific death (p < 0.001). CONCLUSIONS: Lack of expression of the TMEM27 in conventional RCC defines a group of patients at high risk for cancer-related death.
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