Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.

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dc.contributor.authorLópez, Virginia
dc.contributor.authorGonzález-Peramato Gutiérrez, María del Pilar 
dc.contributor.authorSuela, Javier
dc.contributor.authorSerrano, Álvaro
dc.contributor.authorAlgaba, Ferrán Arrea
dc.contributor.authorCigudosa, Juan C Cruz C
dc.contributor.authorVidal, August U.
dc.contributor.authorBellmunt, Joaquim
dc.contributor.authorHeredero, Oscar
dc.contributor.authorSánchez-Carbayo, Marta
dc.contributor.otherUAM. Departamento de Anatomía Patológicaes_ES
dc.date.accessioned2015-02-17T11:40:04Z
dc.date.available2015-02-17T11:40:04Z
dc.date.issued2013-08-01
dc.identifier.citationJournal of Translational Medicine 11.1 (2013): 182en_US
dc.identifier.issn1479-5876 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/663881
dc.description.abstractArray-CGH represents a comprehensive tool to discover genomic disease alterations that could potentially be applied to body fluids. In this report, we aimed at applying array-CGH to urinary samples to characterize bladder cancer. Methods: Urinary DNA from bladder cancer patients and controls were hybridized on 44K oligonucleotide arrays. Validation analyses of identified regions and candidates included fluorescent in situ hybridization (FISH) and immunohistochemistry in an independent set of bladder tumors spotted on custom-made tissue arrays (n = 181). Results: Quality control of array-CGH provided high reproducibility in dilution experiments and when comparing reference pools. The most frequent genomic alterations (minimal recurrent regions) among bladder cancer urinary specimens included gains at 1q and 5p, and losses at 10p and 11p. Supervised hierarchical clustering identified the gain at 1q23.3-q24.1 significantly correlated to stage (p = 0.011), and grade (p = 0.002). The amplification and overexpression of Prefoldin (PFND2), a selected candidate mapping to 1q23.3-q24.1, correlated to increasing stage and tumor grade by means of custom-designed and optimized FISH (p = 0.013 and p = 0.023, respectively), and immunohistochemistry (p ≤0.0005 and p = 0.011, respectively), in an independent set of bladder tumors included in tissue arrays. Moreover, PFND2 overexpression was significantly associated with poor disease-specific survival (p ≤0.0005). PFND2 was amplified and overexpressed in bladder tumors belonging to patients providing urinary specimens where 1q23.3q24.1 amplification was detected by array-CGH. Conclusions: Genomic profiles of urinary DNA mirrowed bladder tumors. Molecular profiling of urinary DNA using array-CGH contributed to further characterize genomic alterations involved in bladder cancer progression. PFND2 was identified as a tumor stratification and clinical outcome prognostic biomarker for bladder cancer patientsen_US
dc.description.sponsorshipSupported by grants (SAF2009-13035 and SAF2012-40206) from the Spanish Ministry of Education and Culture (to Dr Sánchez-Carbayo). Virginia López is recipient of a predoctoral award from the Spanish Ministry of Education and Cultureen_US
dc.format.extent13 pag.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherBioMed Centralen_US
dc.relation.ispartofJournal of Translational Medicineen_US
dc.rights© 2013 López et al.; licensee BioMed Central Ltden_US
dc.subject.otherArray-CGHen_US
dc.subject.otherBladder canceren_US
dc.subject.otherFISHen_US
dc.subject.otherImmunohistochemistryen_US
dc.subject.otherTissue arraysen_US
dc.subject.otherUrineen_US
dc.titleIdentification of prefoldin amplification (1q23.3-q24.1) in bladder cancer using comparative genomic hybridization (CGH) arrays of urinary DNAen_US
dc.typearticleen
dc.subject.ecienciaMedicinaes_ES
dc.identifier.doi10.1186/1479-5876-11-182es_ES
dc.identifier.publicationfirstpage182es_ES
dc.identifier.publicationissue1es_ES
dc.identifier.publicationlastpage182es_ES
dc.identifier.publicationvolume11es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.rights.ccReconocimientoes_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMGonzález-Peramato Gutiérrez, María Del Pilar (262061)
dc.facultadUAMFacultad de Medicina


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