Publication:
CE-MS-based urinary biomarkers to distinguish non-significant from significant prostate cancer.

dc.contributor.authorFrantzi, Maria
dc.contributor.authorGomez Gomez, Enrique
dc.contributor.authorBlanca Pedregosa, Ana
dc.contributor.authorValero Rosa, Jose
dc.contributor.authorLatosinska, Agnieszka
dc.contributor.authorCulig, Zoran
dc.contributor.authorMerseburger, Axel S
dc.contributor.authorLuque, Raul M
dc.contributor.authorRequena Tapia, Maria Jose
dc.contributor.authorMischak, Harald
dc.contributor.authorCarrasco Valiente, Julia
dc.contributor.funderSpanish Ministerio de Economía y Competitividad (MINECO)
dc.contributor.funderFEDER
dc.date.accessioned2023-01-25T13:33:33Z
dc.date.available2023-01-25T13:33:33Z
dc.date.issued2019-04-16
dc.description.abstractProstate cancer progresses slowly when present in low risk forms but can be lethal when it progresses to metastatic disease. A non-invasive test that can detect significant prostate cancer is needed to guide patient management. Capillary electrophoresis/mass spectrometry has been employed to identify urinary peptides that may accurately detect significant prostate cancer. Urine samples from 823 patients with PSA ( Independent validation of the 19-biomarker model in 280 patients resulted in a 90% sensitivity and 59% specificity, with an AUC of 0.81, outperforming PSA (AUC = 0.58) and the ERSPC-3/4 risk calculator (AUC = 0.69) in the validation set. This multi-parametric model holds promise to improve the current diagnosis of significant prostate cancer. This test as a guide to biopsy could help to decrease the number of biopsies and guide intervention. Nevertheless, further prospective validation in an external clinical cohort is required to assess the exact performance characteristics.
dc.description.versionSi
dc.identifier.doi10.1038/s41416-019-0472-z
dc.identifier.essn1532-1827
dc.identifier.pmcPMC6738044
dc.identifier.pmid31092909
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738044/pdf
dc.identifier.unpaywallURLhttps://www.nature.com/articles/s41416-019-0472-z.pdf
dc.identifier.urihttp://hdl.handle.net/10668/13969
dc.issue.number12
dc.journal.titleBritish journal of cancer
dc.journal.titleabbreviationBr J Cancer
dc.language.isoen
dc.organizationHospital Universitario Reina Sofía
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba-IMIBIC
dc.page.number1120-1128
dc.publisherNature Publishing Group
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.relation.projectIDH2020-MSCA-IF-2017-800048
dc.relation.projectIDCCB.030PM
dc.relation.publisherversionhttps://doi.org/10.1038/s41416-019-0472-z
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAlgorithms
dc.subjectBiomarkers, tumor
dc.subjectCase-control studies
dc.subjectElectrophoresis, capillary
dc.subject.decsBiopsia guiada por imagen
dc.subject.decsEspectrometría de masas
dc.subject.decsMáquina de vectores de soporte
dc.subject.decsNeoplasias de la próstata
dc.subject.decsUltrasonografía Intervencional
dc.subject.meshAged
dc.subject.meshHumans
dc.subject.meshImage-guided biopsy
dc.subject.meshMale
dc.subject.meshMass spectrometry
dc.subject.meshMiddle aged
dc.subject.meshProstatic neoplasms
dc.subject.meshSupport vector machine
dc.subject.meshUltrasonography, interventional
dc.titleCE-MS-based urinary biomarkers to distinguish non-significant from significant prostate cancer.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number120
dspace.entity.typePublication

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