Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer

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  • dc.contributor.author Sequeiros, Tamara
  • dc.contributor.author Rigau, Marina
  • dc.contributor.author Chiva, Cristina
  • dc.contributor.author Montes, Melania
  • dc.contributor.author Garcia-Grau, Iolanda
  • dc.contributor.author Garcia, Marta
  • dc.contributor.author Diaz, Sherley
  • dc.contributor.author Celma, Anna
  • dc.contributor.author Bijnsdorp, Irene
  • dc.contributor.author Campos, Alex
  • dc.contributor.author Di Mauro, Primiano
  • dc.contributor.author Borrós, Salvador
  • dc.contributor.author Reventós, Jaume
  • dc.contributor.author Doll, Andreas
  • dc.contributor.author Paciucci, Rosanna
  • dc.contributor.author Pegtel, Michiel
  • dc.contributor.author Torres, Inés de
  • dc.contributor.author Sabidó Aguadé, Eduard, 1981-
  • dc.contributor.author Morote, Juan
  • dc.contributor.author Olivan, Mireia
  • dc.date.accessioned 2025-02-04T07:32:47Z
  • dc.date.available 2025-02-04T07:32:47Z
  • dc.date.issued 2017
  • dc.description.abstract Rapid and reliable diagnosis of prostate cancer (PCa) is highly desirable as current used methods lack specificity. In addition, identification of PCa biomarkers that can classify patients into high- and low-risk groups for disease progression at early stage will improve treatment decision-making. Here, we describe a set of protein-combination panels in urinary extracellular vesicles (EVs), defined by targeted proteomics and immunoblotting techniques that improve early non-invasive detection and stratification of PCa patients.We report a two-protein combination in urinary EVs that classifies benign and PCa patients (ADSV-TGM4), and a combination of five proteins able to significantly distinguish between high- and low-grade PCa patients (CD63-GLPK5-SPHM-PSA-PAPP). Proteins composing the panels were validated by immunohistochemistry assays in tissue microarrays (TMAs) confirming a strong link between the urinary EVs proteome and alterations in PCa tissues. Moreover, ADSV and TGM4 abundance yielded a high diagnostic potential in tissue and promising TGM4 prognostic power. These results suggest that the proteins identified in urinary EVs distinguishing high- and low grade PCa are a reflection of histological changes that may be a consequence of their functional involvement in PCa development. In conclusion, our study resulted in the identification of protein-combination panels present in urinary EVs that exhibit high sensitivity and specificity for PCa detection and patient stratification. Moreover, our study highlights the potential of targeted proteomic approaches–such as selected reaction monitoring (SRM)–as diagnostic assay for liquid biopsies via urinary EVs to improve diagnosis and prognosis of suspected PCa patients.en
  • dc.description.sponsorship The study was supported by grants PI11/02486 and CD12/00475 of Instituto de Salud Carlos III (ISCIII), AECC-JB-2013-02 of Asociación Española Contra el Cáncer, 7th Framework Programe, IRSES (PROTBIOFLUID –269285) – Belgium, pre-doctoral fellowship of Vall d’Hebron Research Institute (VHIR) and by Instituto de Salud Carlos III, grant RD12/0036/0035 cofinanced by the European Regional Development Fund(ERDF). The CRG/UPF Proteomics Unit is part of the “Plataforma de Recursos Biomoleculares y Bioinformáticos (ProteoRed)” supported by grant PT13/0001 of ISCIII and Spanish Ministry of Economy and Competitiveness. We acknowledge support of the Spanish Ministry of Economy and Competitiveness, “Centro de Excelencia Severo Ochoa 2013-2017”, SEV-2012-0208, and from “Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya” (2014SGR678).en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Sequeiros T, Rigau M, Chiva C, Montes M, Garcia-Grau I, Garcia M, et al. Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer. Oncotarget. 2017 Jan 17;8(3):4960-76. DOI: 10.18632/oncotarget.13634
  • dc.identifier.doi http://dx.doi.org/10.18632/oncotarget.13634
  • dc.identifier.issn 1949-2553
  • dc.identifier.uri http://hdl.handle.net/10230/69471
  • dc.language.iso eng
  • dc.publisher Impact Journals
  • dc.relation.ispartof Oncotarget. 2017 Jan 17;8(3):4960-76
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269285
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SEV-2012-0208
  • dc.rights All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Prostate canceren
  • dc.subject.keyword Biomarkersen
  • dc.subject.keyword Urineen
  • dc.subject.keyword Extracellular vesiclesen
  • dc.subject.keyword Diagnosisen
  • dc.title Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate canceren
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion