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• W2004372381 abstract "No AccessJournal of UrologyInvestigative Urology1 Aug 2011Specific Protein Patterns Characterize Metastatic Potential of Advanced Bladder Cancer Rico Pilchowski, Robert Stöhr, Ferdinand von Eggeling, Arndt Hartmann, Heiko Wunderlich, and Kerstin Junker Rico PilchowskiRico Pilchowski More articles by this author , Robert StöhrRobert Stöhr More articles by this author , Ferdinand von EggelingFerdinand von Eggeling More articles by this author , Arndt HartmannArndt Hartmann More articles by this author , Heiko WunderlichHeiko Wunderlich More articles by this author , and Kerstin JunkerKerstin Junker More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2011.03.124AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: The prognosis in patients with metastasized bladder cancer is still poor. Clinical and histopathological parameters have limited ability to predict the risk of tumor progression. Thus, we identified specific protein patterns associated with tumor progression to differentiate specimens with and without metastasis. Materials and Methods: We analyzed 46 metastasized and 42 nonmetastasized muscle invasive bladder cancers by ProteinChip® technology surface enhanced laser desorption/ionization time of flight mass spectrometry. Cell lysis was done after laser capture microdissection from cryostat sections to achieve high tumor cell purity. Surface enhanced laser desorption/ionization time of flight mass spectrometry was completed with 2 matrices (Q10 and CM10). Bioinformatic analysis was performed by XLMiner® clustering using the Fuzzy c-means method. Differentially expressed proteins were identified and verified by 2-dimensional gel electrophoresis, tryptic in gel digest, peptide mapping, immunodepletion assay and Western blot analysis. Results: By combining data on 2 chip surfaces (Q10 and CM10) results showed 86% sensitivity and 89% specificity in the training set, and 63% sensitivity and 88% specificity in the validation set. The relevant protein peaks 10.83, 14.68, 16.15 and 27.85 Da were identified as S100A8, MAP-1LC3, MUC-1S1 and GST-M1, respectively. Conclusions: We defined specific protein patterns with ProteinChip technology using bioinformatic evaluation software, which allowed differentiation between nonmetastasized and metastasized bladder tumor samples with high sensitivity and specificity. We identified 4 differentially expressed proteins. Thus, it seems possible to identify patients at high metastasized risk even at a clinically localized stage, leading to individual therapy decisions. References 1 : Global cancer statistics, 2002: CA . Cancer J Clin2005; 55: 74. Google Scholar 2 : Molecular Screening for Bladder Cancer. In: . Edited by . Waltham, Massachusetts: UpToDate2008. 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Arch Toxicol2009; 83: 503. Google Scholar 29 : Expression of drug metabolizing enzymes and P-170 glycoprotein in colorectal carcinoma and normal mucosa. Gastroenterology1992; 103: 448. Google Scholar 30 : Preparation, characterization and properties of glutathione-S-transferases. In: Biochemical Pharmacology and Toxicology. Edited by . New York: John Wiley and Sons1985: 297. Google Scholar Department of Urology and Core-Unit Chip Application, University Hospital and Biocontrol Jena GmbH, Jena and Department of Pathology, University Erlangen, Erlangen, Germany© 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byAtala A (2018) Re: Long Non-Coding RNA H19 Increases Bladder Cancer Metastasis by Associating with EZH2 and Inhibiting E-Cadherin ExpressionJournal of Urology, VOL. 190, NO. 6, (2306-2306), Online publication date: 1-Dec-2013. Volume 186Issue 2August 2011Page: 713-720 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.Keywordsneoplasm metastasisurinary bladderbiological markersurinary bladder neoplasmscomputational biologyAcknowledgmentsBeate Weiss and Christian Heinze provided technical assistance.MetricsAuthor Information Rico Pilchowski More articles by this author Robert Stöhr More articles by this author Ferdinand von Eggeling More articles by this author Arndt Hartmann More articles by this author Heiko Wunderlich More articles by this author Kerstin Junker More articles by this author Expand All Advertisement PDF downloadLoading ..." @default.
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