MP22-04 EXTERNAL VALIDATION OF A MULTIPLEX URINARY PROTEIN PANEL FOR THE DETECTION OF BLADDER CANCER IN A MULTICENTER COHORT (2014)

You have accessJournal of UrologyBladder Cancer: Detection & Screening1 Apr 2014MP22-04 EXTERNAL VALIDATION OF A MULTIPLEX URINARY PROTEIN PANEL FOR THE DETECTION OF BLADDER CANCER IN A MULTICENTER COHORT Diego Aguilar Palacios, Limei Chen, Myron Chang, Yunfeng Dai, Lars Dyrskjøt Andersen, Marta Sanchez-Carbayo, Tibor Szarvas, Ellen C. Zwarthoff, Carmen Jeronimo, Alexander S. Parker, Shanti Ross, Karl X. Chai, Steve Goodison, and Charles J. Rosser Diego Aguilar PalaciosDiego Aguilar Palacios More articles by this author , Limei ChenLimei Chen More articles by this author , Myron ChangMyron Chang More articles by this author , Yunfeng DaiYunfeng Dai More articles by this author , Lars Dyrskjøt AndersenLars Dyrskjøt Andersen More articles by this author , Marta Sanchez-CarbayoMarta Sanchez-Carbayo More articles by this author , Tibor SzarvasTibor Szarvas More articles by this author , Ellen C. ZwarthoffEllen C. Zwarthoff More articles by this author , Carmen JeronimoCarmen Jeronimo More articles by this author , Alexander S. ParkerAlexander S. Parker More articles by this author , Shanti RossShanti Ross More articles by this author , Karl X. ChaiKarl X. Chai More articles by this author , Steve GoodisonSteve Goodison More articles by this author , and Charles J. RosserCharles J. Rosser More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.852AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Through combined genomic and proteomic profiling of urinary components, we have previously identified a bladder cancer (BCa) associated protein panel that performs well in test cohorts. The aim of this study was to externally validate the protein biomarker panel from multiple sites in the US and Europe. METHODS This phase II, multicenter external validation study included a total of 320 subjects. The 10 biomarkers (IL8, MMP9, MMP10, SERPINA1, VEGFA, ANG, CA9, APOE, SDC1 and SERPINE1) were measured using enzyme-linked immunosorbent assays in an external laboratory. Voided urine specimens from healthy volunteers (n = 41), patients with benign urologic conditions (n = 96), non-muscle invasive bladder cancer (NMIBC, n = 153) and muscle invasive bladder cancer (MIBC, n = 23) were tested. The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical values. RESULTS Utilizing the combination of all 10 biomarkers at optimal cutoff values defined by the Youden index calculation, the AUROC for the diagnostic panel was noted to be 0.848 [95% CI: 0.796 - 0.899], outperforming any single biomarker. The multiplex assay achieved an overall sensitivity of 0.79, specificity of 0.79, PPV of 0.73 and NPV of 0.84 for BCa classification. Sensitivity values of the diagnostic panel for high-grade BCa, low-grade BCa, MIBC and NMIBC were 0.81, 0.90, 0.95 and 0.77, respectively. CONCLUSIONS Urinary levels of the biomarker panel enabled discrimination of BCa patients and controls, and the levels of biomarker subsets were associated with advancing tumor grade and stage. © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e235 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Diego Aguilar Palacios More articles by this author Limei Chen More articles by this author Myron Chang More articles by this author Yunfeng Dai More articles by this author Lars Dyrskjøt Andersen More articles by this author Marta Sanchez-Carbayo More articles by this author Tibor Szarvas More articles by this author Ellen C. Zwarthoff More articles by this author Carmen Jeronimo More articles by this author Alexander S. Parker More articles by this author Shanti Ross More articles by this author Karl X. Chai More articles by this author Steve Goodison More articles by this author Charles J. Rosser More articles by this author Expand All Advertisement Advertisement PDF DownloadLoading ...