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Imaging, Diagnosis, Prognosis |
1 Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany; 2 Department of Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Berlin, Germany; and 3 Institute of Pathology, University of Göttingen, Göttingen, Germany
Requests for reprints: Holger Sültmann, Division of Molecular Genome Analysis, German Cancer Research Center, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. Phone: 49-6221-424705; Fax: 49-6221-42524705; E-mail: h.sueltmann{at}dkfz.de.
Current diagnosis of renal cancer consists of histopathologic examination of tissue sections and classification into tumor stages and grades of malignancy. Until recently, molecular differences between tumor types were largely unknown. To examine such differences, we did gene expression measurements of 112 renal cell carcinoma and normal kidney samples on renal cell carcinomaspecific cDNA microarrays containing 4,207 genes and expressed sequence tags. The gene expression patterns showed deregulation of complete biological pathways in the tumors. Many of the molecular changes corresponded well to the histopathologic tumor types, and a set of 80 genes was sufficient to classify tumors with a very low error rate. Distinct gene expression signatures were associated with chromosomal abnormalities of tumor cells, metastasis formation, and patient survival. The data highlight the benefit of microarrays to detect novel tumor classes and to identify genes that are associated with patient variables and tumor properties.
Key Words: renal cell carcinoma gene expression
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