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• W2091395707 abstract "No AccessJournal of UrologyInvestigative urology1 Jun 2006Classification of Renal Neoplasms Based on Molecular Signatures Ximing J. Yang, Jun Sugimura, Kristian T. Schafernak, Maria S. Tretiakova, Misop Han, Nicholas J. Vogelzang, Kyle Furge, and Bin Tean Teh Ximing J. YangXiming J. Yang Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois Department of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author , Jun SugimuraJun Sugimura Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author , Kristian T. SchafernakKristian T. Schafernak Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author , Maria S. TretiakovaMaria S. Tretiakova Department of Pathology, University of Chicago, Chicago, Illinois More articles by this author , Misop HanMisop Han Department of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author , Nicholas J. VogelzangNicholas J. Vogelzang Department of Medical Oncology, Nevada Cancer Institute, Las Vegas, Nevada More articles by this author , Kyle FurgeKyle Furge Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author , and Bin Tean TehBin Tean Teh Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(06)00255-2AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Gene expression microarray studies have demonstrated distinct molecular signatures for different types of renal neoplasms based on overall gene expression patterns. However, in most of these studies the investigators used renal tumors with defined histology. We analyzed a test set of renal tumors in double-blind fashion using recently established molecular profiles of renal tumors as benchmarks. Materials and Methods: A total of 16 consecutive nephrectomies performed for neoplasms at a single urological service were subjected to gene expression profiling using cDNA chips containing 21,632 genes. Analysis was clustered with our previously established molecular profiles of 91 histologically defined kidney neoplasms and comparative genomic microarray analysis while blinded to tumor histology and clinical information. Results: With molecular analysis 9, 4, 2 and 1 tumors were classified as clear cell, papillary RCC, chromophobe RCC, and renal oncocytoma, respectively. Histopathological evaluation was concordant in 14 tumors. One of the 2 tumors with a discrepancy between molecular and pathological diagnoses was composed of oncocytoma and high grade clear cell RCC, and the other was chromophobe RCC that histologically mimicked papillary RCC. Conclusions: We report the feasibility of the molecular diagnosis and classification of unknown renal neoplasms. Molecular diagnosis appears to be reliable and comparable to the standard of urological pathology. This molecular method may be a potentially useful test for establishing an accurate diagnosis that can impact clinical management. References 1 : Pathology and Genetics of Tumours of the Uninary System and Male Genital Organs. Lyon: IARC Press2004. Google Scholar 2 : Gene expression profiling of clear cell renal cell carcinoma: gene identification and prognostic classification. Proc Natl Acad Sci USA2001; 98: 9754. Google Scholar 3 : Gene expression profiling of favorable histology Wilms tumors and its correlation with clinical features. Cancer Res2002; 62: 6598. Google Scholar 4 : Molecular subclassification of kidney tumors and the discovery of new diagnostic markers. Oncogene2003; 22: 6810. 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Google Scholar © 2006 by American Urological AssociationFiguresReferencesRelatedDetailsCited byLaguna M (2018) Re: Clear Cell Type A and B Molecular Subtypes in Metastatic Clear Cell Renal Cell Carcinoma: Tumor Heterogeneity and AggressivenessJournal of Urology, VOL. 198, NO. 5, (977-978), Online publication date: 1-Nov-2017.Laguna M (2018) Re: ClearCode34: A Prognostic Risk Predictor for Localized Clear Cell Renal Cell CarcinomaJournal of Urology, VOL. 193, NO. 1, (71-72), Online publication date: 1-Jan-2015.Lane B, Samplaski M, Herts B, Zhou M, Novick A and Campbell S (2018) Renal Mass Biopsy—A Renaissance?Journal of Urology, VOL. 179, NO. 1, (20-27), Online publication date: 1-Jan-2008. Volume 175Issue 6June 2006Page: 2302-2306 Advertisement Copyright & Permissions© 2006 by American Urological AssociationKeywordscomplementarymicroarray analysisrenal cellkidneyDNAcarcinomaAcknowledgmentsThe Van Andel Research Institute kidney cancer program is supported by the Gerber Foundation, Hauenstein Foundation, Amway Japan Limited, Michigan Economic Development Corporation and Michigan Technology Tri-Corridor.MetricsAuthor Information Ximing J. Yang Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois Department of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author Jun Sugimura Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author Kristian T. Schafernak Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author Maria S. Tretiakova Department of Pathology, University of Chicago, Chicago, Illinois More articles by this author Misop Han Department of Urology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois More articles by this author Nicholas J. Vogelzang Department of Medical Oncology, Nevada Cancer Institute, Las Vegas, Nevada More articles by this author Kyle Furge Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author Bin Tean Teh Laboratory of Cancer Genetics and Bioinformatics Program, Van Andel Research Institute, Grand Rapids, Michigan More articles by this author Expand All Advertisement PDF downloadLoading ..." @default.
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