CD31, EDNRB and TSPAN7 are promising prognostic markers in clear-cell renal cell carcinoma revealed by genome-wide expression analyses of primary tumors and metastases†
Corresponding Author
Daniela Wuttig
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Tel.: +49(0)6221-565964, Fax: +49(0)6221 565382
Cancer Genome Research, Division of Molecular Genetics, German Cancer Research Center and National Center for Tumor Diseases, Im Neuenheimer Feld 460, 69120 Heidelberg, GermanySearch for more papers by this authorStefan Zastrow
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorSusanne Füssel
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorMarieta I. Toma
Institute of Pathology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorMatthias Meinhardt
Institute of Pathology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorKristin Kalman
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorKerstin Junker
Department of Urology, Friedrich-Schiller-University, Jena, Germany
Search for more papers by this authorJimsgene Sanjmyatav
Department of Urology, Friedrich-Schiller-University, Jena, Germany
Search for more papers by this authorKerstin Boll
Department of Diagnostics and New Technologies, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
Search for more papers by this authorJörg Hackermüller
Department of Diagnostics and New Technologies, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
Young Investigators Group Bioinformatics and Transcriptomics, Department Proteomics, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Search for more papers by this authorAxel Rolle
Department of Thoracic and Vascular Surgery, Coswig Specialized Hospital, Center for Pneumology, Thoracic and Vascular Surgery, Coswig, Germany
Search for more papers by this authorMarc-Oliver Grimm
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorManfred P. Wirth
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorCorresponding Author
Daniela Wuttig
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Tel.: +49(0)6221-565964, Fax: +49(0)6221 565382
Cancer Genome Research, Division of Molecular Genetics, German Cancer Research Center and National Center for Tumor Diseases, Im Neuenheimer Feld 460, 69120 Heidelberg, GermanySearch for more papers by this authorStefan Zastrow
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorSusanne Füssel
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorMarieta I. Toma
Institute of Pathology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorMatthias Meinhardt
Institute of Pathology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorKristin Kalman
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorKerstin Junker
Department of Urology, Friedrich-Schiller-University, Jena, Germany
Search for more papers by this authorJimsgene Sanjmyatav
Department of Urology, Friedrich-Schiller-University, Jena, Germany
Search for more papers by this authorKerstin Boll
Department of Diagnostics and New Technologies, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
Search for more papers by this authorJörg Hackermüller
Department of Diagnostics and New Technologies, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
Young Investigators Group Bioinformatics and Transcriptomics, Department Proteomics, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Search for more papers by this authorAxel Rolle
Department of Thoracic and Vascular Surgery, Coswig Specialized Hospital, Center for Pneumology, Thoracic and Vascular Surgery, Coswig, Germany
Search for more papers by this authorMarc-Oliver Grimm
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorManfred P. Wirth
Department of Urology, University Hospital Carl Gustav Carus, Dresden, Germany
Search for more papers by this authorGene lists are available at http://urologie.uniklinikum-dresden.de/ba_labor_research_download.htm
Abstract
Currently used clinicopathological parameters are insufficient for a reliable prediction of metastatic risk and disease-free survival (DFS) of patients with clear-cell renal cell carcinoma (ccRCC). To identify prognostic genes, the expression profiles of primary ccRCC obtained from patients with different DFS — eight synchronously, nine metachronously and seven not metastasized tumors — were determined by genome-wide expression analyses. Synchronously and metachronously metastasized primary ccRCC differed in the expression of 167 genes. Thirty-six of these genes were also differentially expressed in synchronously vs. metachronously developed pulmonary metastases analyzed in a previous study. Because of their DFS-associated deregulation that is concordant in metastases and primary ccRCC, these genes are potentially functionally involved in metastatic tumor growth and are also prognostically useful. A prognostic impact was confirmed for the genes CD31, EDNRB and TSPAN7 at the mRNA level (n = 86), and for TSPAN7 at the protein level (n = 106). Patients with a higher gene expression of EDNRB or TSPAN7, or with TSPAN7-positive vessels in both cores investigated on tissue microarrays had a significantly longer DFS and tumor-specific survival (TSS). Patients with a higher CD31 gene expression showed a significantly longer TSS. EDNRB was an independent prognostic marker for the DFS. CD31, EDNRB and TSPAN7 had an independent impact on the TSS. In summary, comparative analysis of primary tumors and metastases is appropriate to identify independent prognostic markers in ccRCC. Gene expression of CD31 and EDNRB, and endothelial TSPAN7 protein level are potentially useful to improve outcome prediction because of their independent prognostic impact.
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References
- 1 Minn AJ, Kang Y, Serganova I, Gupta GP, Giri DD, Doubrovin M, Ponomarev V, Gerald WL, Blasberg R, Massague J. Distinct organ-specific metastatic potential of individual breast cancer cells and primary tumors. J Clin Invest 2005; 115: 44–55.
- 2 Nguyen DX, Massague J. Genetic determinants of cancer metastasis. Nat Rev Genet 2007; 8: 341–52.
- 3 Lopez-Beltran A, Scarpelli M, Montironi R, Kirkali Z. 2004 WHO classification of the renal tumors of the adults. Eur Urol 2006; 49: 798–805.
- 4 van Spronsen DJ, Mulders PF, de Mulder PH. Novel treatments for metastatic renal cell carcinoma. Crit Rev Oncol Hematol 2005; 55: 177–91.
- 5 Patel NS, Muneer A, Blick C, Arya M, Harris AL. Targeting vascular endothelial growth factor in renal cell carcinoma. Tumour Biol 2009; 30: 292–9.
- 6 Naumov GN, Akslen LA, Folkman J. Role of angiogenesis in human tumor dormancy: animal models of the angiogenic switch. Cell Cycle 2006; 5: 1779–87.
- 7 Eichelberg C, Junker K, Ljungberg B, Moch H. Diagnostic and prognostic molecular markers for renal cell carcinoma: a critical appraisal of the current state of research and clinical applicability. Eur Urol 2009; 55: 851–63.
- 8 Wuttig D, Baier B, Fuessel S, Meinhardt M, Herr A, Hoefling C, Toma M, Grimm MO, Meye A, Rolle A, Wirth MP. Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease-free interval and the number of metastases per patient. Int J Cancer 2009; 125: 474–82.
- 9 Bolstad BM, Irizarry RA, Astrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 2003; 19: 185–93.
- 10 Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 2007; 8: 118–27.
- 11 Sharov AA, Dudekula DB, Ko MS. A web-based tool for principal component and significance analysis of microarray data. Bioinformatics 2005; 21: 2548–9.
- 12
Benjamini Y,
Hochberg Y.
Controlling the false discovery rate: a practical and powerful approach to multiple testing.
J R Stat Soc Ser B (Methodol)
1995;
57:
289–300.
10.1111/j.2517-6161.1995.tb02031.x Google Scholar
- 13 Suzuki R, Shimodaira H. Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics 2006; 22: 1540–2.
- 14 Sturn A, Quackenbush J, Trajanoski Z. Genesis: cluster analysis of microarray data. Bioinformatics 2002; 18: 207–8.
- 15 Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-ΔΔC(T)) method. Methods 2001; 25: 402–8.
- 16 Zisman A, Pantuck AJ, Dorey F, Said JW, Shvarts O, Quintana D, Gitlitz BJ, deKernion JB, Figlin RA, Belldegrun AS. Improved prognostication of renal cell carcinoma using an integrated staging system. J Clin Oncol 2001; 19: 1649–57.
- 17 Kosari F, Parker AS, Kube DM, Lohse CM, Leibovich BC, Blute ML, Cheville JC, Vasmatzis G. Clear cell renal cell carcinoma: gene expression analyses identify a potential signature for tumor aggressiveness. Clin Cancer Res 2005; 11: 5128–39.
- 18 Lane BR, Li J, Zhou M, Babineau D, Faber P, Novick AC, Williams BR. Differential expression in clear cell renal cell carcinoma identified by gene expression profiling. J Urol 2009; 181: 849–60.
- 19 Takahashi M, Rhodes DR, Furge KA, Kanayama H, Kagawa S, Haab BB, Teh BT. Gene expression profiling of clear cell renal cell carcinoma: gene identification and prognostic classification. Proc Natl Acad Sci USA 2001; 98: 9754–9.
- 20 van der Poel HG, Roukema JA, Horenblas S, van Geel AN, Debruyne FM. Metastasectomy in renal cell carcinoma: a multicenter retrospective analysis. Eur Urol 1999; 35: 197–203.
- 21GoPubMed database. Transinsight GmbH, Dresden. Available at: www.gopubmed.org. Accessed on April 9, 2010.
- 22 van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002; 415: 530–6.
- 23 Yao M, Huang Y, Shioi K, Hattori K, Murakami T, Sano F, Baba M, Kondo K, Nakaigawa N, Kishida T, Nagashima Y, Yamada-Okabe H, et al. A three-gene expression signature model to predict clinical outcome of clear cell renal carcinoma. Int J Cancer 2008; 123: 1126–32.
- 24 Lalich M, McNeel DG, Wilding G, Liu G. Endothelin receptor antagonists in cancer therapy. Cancer Invest 2007; 25: 785–94.
- 25 James ND, Caty A, Borre M, Zonnenberg BA, Beuzeboc P, Morris T, Phung D, Dawson NA. Safety and efficacy of the specific endothelin-A receptor antagonist ZD4054 in patients with hormone-resistant prostate cancer and bone metastases who were pain free or mildly symptomatic: a double-blind, placebo-controlled, randomised, phase 2 trial. Eur Urol 2009; 55: 1112–23.
- 26 Lahav R, Heffner G, Patterson PH. An endothelin receptor B antagonist inhibits growth and induces cell death in human melanoma cells in vitro and in vivo. Proc Natl Acad Sci USA 1999; 96: 11496–500.
- 27 Mallat A, Fouassier L, Preaux AM, Gal CS, Raufaste D, Rosenbaum J, Dhumeaux D, Jouneaux C, Mavier P, Lotersztajn S. Growth inhibitory properties of endothelin-1 in human hepatic myofibroblastic Ito cells. An endothelin B receptor-mediated pathway. J Clin Invest 1995; 96: 42–9.
- 28 Sandlund J, Hedberg Y, Bergh A, Grankvist K, Ljungberg B, Rasmuson T. Evaluation of CD31 (PECAM-1) expression using tissue microarray in patients with renal cell carcinoma. Tumour Biol 2007; 28: 158–64.
- 29 Herbst C, Kosmehl H, Stiller KJ, Berndt A, Eiselt M, Schubert J, Katenkamp D. Evaluation of microvessel density by computerised image analysis in human renal cell carcinoma. Correlation to pT category, nuclear grade, proliferative activity and occurrence of metastasis. J Cancer Res Clin Oncol 1998; 124: 141–7.
- 30 Baldewijns MM, Thijssen VL, van den Eynden GG, van Laere SJ, Bluekens AM, Roskams T, van Poppel H, de Bruine AP, Griffioen AW, Vermeulen PB. High-grade clear cell renal cell carcinoma has a higher angiogenic activity than low-grade renal cell carcinoma based on histomorphological quantification and qRT-PCR mRNA expression profile. Br J Cancer 2007; 96: 1888–95.
- 31 Yildiz E, Ayan S, Goze F, Gokce G, Gultekin EY. Relation of microvessel density with microvascular invasion, metastasis and prognosis in renal cell carcinoma. BJU Int 2008; 101: 758–64.
- 32 Takagi S, Fujikawa K, Imai T, Fukuhara N, Fukudome K, Minegishi M, Tsuchiya S, Konno T, Hinuma Y, Yoshie O. Identification of a highly specific surface marker of T-cell acute lymphoblastic leukemia and neuroblastoma as a new member of the transmembrane 4 superfamily. Int J Cancer 1995; 61: 706–15.
- 33 Arcaroli JJ, Touban BM, Tan AC, Varella-Garcia M, Powell RW, Eckhardt SG, Elvin P, Gao D, Messersmith WA. Gene array and fluorescence in situ hybridization biomarkers of activity of saracatinib (AZD0530), a Src inhibitor, in a preclinical model of colorectal cancer. Clin Cancer Res 2010; 16: 4165–77.
- 34 Dunne J, Cullmann C, Ritter M, Soria NM, Drescher B, Debernardi S, Skoulakis S, Hartmann O, Krause M, Krauter J, Neubauer A, Young BD, et al. siRNA-mediated AML1/MTG8 depletion affects differentiation and proliferation-associated gene expression in t(8;21)-positive cell lines and primary AML blasts. Oncogene 2006; 25: 6067–78.
- 35 Bandyopadhyay S, Zhan R, Chaudhuri A, Watabe M, Pai SK, Hirota S, Hosobe S, Tsukada T, Miura K, Takano Y, Saito K, Pauza ME, et al. Interaction of KAI1 on tumor cells with DARC on vascular endothelium leads to metastasis suppression. Nat Med 2006; 12: 933–8.
- 36 Muller WA, Weigl SA, Deng X, Phillips DM. PECAM-1 is required for transendothelial migration of leukocytes. J Exp Med 1993; 178: 449–60.
- 37 Wakelin MW, Sanz MJ, Dewar A, Albelda SM, Larkin SW, Boughton-Smith N, Williams TJ, Nourshargh S. An anti-platelet-endothelial cell adhesion molecule-1 antibody inhibits leukocyte extravasation from mesenteric microvessels in vivo by blocking the passage through the basement membrane. J Exp Med 1996; 184: 229–39.
- 38 Pols MS, Klumperman J. Trafficking and function of the tetraspanin CD63. Exp Cell Res 2009; 315: 1584–92.
- 39 Takino T, Miyamori H, Kawaguchi N, Uekita T, Seiki M, Sato H. Tetraspanin CD63 promotes targeting and lysosomal proteolysis of membrane-type 1 matrix metalloproteinase. Biochem Biophys Res Commun 2003; 304: 160–6.