PURPOSE: The discovery of metastasis markers in clear cell renal cell carcinoma is of critical importance to define individual metastatic risk and select patients for new targeted therapies. We identified potential biomarkers for metastatic clear cell renal cell carcinoma by gene expression analysis. MATERIALS AND METHODS: We performed transcriptional profiling of 16 primary metastatic and 18 nonmetastatic clear cell renal cell carcinomas with PIQOR™ microarrays. Differentially expressed genes were validated by quantitative real-time polymerase chain reaction. RESULTS: Genes discriminating between metastatic and nonmetastatic tumors were identified at q <0.001 by significance analysis of microarrays. The metastatic signature contained 127 transcripts. In metastatic samples a greater than 4-fold decrease in expression was detected for the genes CD151 and IKBA (t/F statistic p <0.0001) while the genes MMP16, B7-H1, BCL2L2 and FRA2 showed greater than 4-fold increase of expression in metastatic primary tumors (p <0.0001). Quantitative real-time polymerase chain reaction revealed significant differences in expression among all metastatic tumors, including synchronously and metachronously metastasized tumors, and nonmetastatic tumors for FRA2 (p = 0.032) and CD151 (p = 0.005). In addition, the genes B7-H1 (p = 0.040), FRA2 (p = 0.035), CD151 (p = 0.004) and BCL2L2 (p = 0.035) showed significantly higher expression in early metastasized than in nonmetastatic tumor samples. Different B7-H1 (p = 0.002) and BCL2L2 (p = 0.007) expression levels were found in samples with late metastasis compared to those in synchronously metastasized tumors. CONCLUSIONS: We determined a metastatic signature of clear cell renal cell carcinoma by microarray analysis. Our data provide the possibility of defining the metastatic potential of primary clear cell renal cell carcinoma based on a select number of genes even in a localized situation.
PURPOSE: The discovery of metastasis markers in clear cell renal cell carcinoma is of critical importance to define individual metastatic risk and select patients for new targeted therapies. We identified potential biomarkers for metastatic clear cell renal cell carcinoma by gene expression analysis. MATERIALS AND METHODS: We performed transcriptional profiling of 16 primary metastatic and 18 nonmetastatic clear cell renal cell carcinomas with PIQOR™ microarrays. Differentially expressed genes were validated by quantitative real-time polymerase chain reaction. RESULTS: Genes discriminating between metastatic and nonmetastatic tumors were identified at q <0.001 by significance analysis of microarrays. The metastatic signature contained 127 transcripts. In metastatic samples a greater than 4-fold decrease in expression was detected for the genes CD151 and IKBA (t/F statistic p <0.0001) while the genes MMP16, B7-H1, BCL2L2 and FRA2 showed greater than 4-fold increase of expression in metastatic primary tumors (p <0.0001). Quantitative real-time polymerase chain reaction revealed significant differences in expression among all metastatic tumors, including synchronously and metachronously metastasized tumors, and nonmetastatic tumors for FRA2 (p = 0.032) and CD151 (p = 0.005). In addition, the genes B7-H1 (p = 0.040), FRA2 (p = 0.035), CD151 (p = 0.004) and BCL2L2 (p = 0.035) showed significantly higher expression in early metastasized than in nonmetastatic tumor samples. Different B7-H1 (p = 0.002) and BCL2L2 (p = 0.007) expression levels were found in samples with late metastasis compared to those in synchronously metastasized tumors. CONCLUSIONS: We determined a metastatic signature of clear cell renal cell carcinoma by microarray analysis. Our data provide the possibility of defining the metastatic potential of primary clear cell renal cell carcinoma based on a select number of genes even in a localized situation.
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