Literature DB >> 24332643

Evaluation of a new quantitative point-of-care test platform for urine-based detection of bladder cancer.

Rene Ritter1, Jörg Hennenlotter1, Ursula Kühs1, Udo Hofmann1, Stefan Aufderklamm1, Pia Blutbacher1, Angelika Deja1, Andrea Hohneder1, Valentina Gerber1, Georgios Gakis1, Arnulf Stenzl1, Christian Schwentner1, Tilman Todenhöfer2.   

Abstract

OBJECTIVE: Several commercial point-of-care (POC) tests are available for urine-based detection of bladder cancer (BC). However, these tests are restricted to dichotomized results (positive or negative), which limits their diagnostic value. Quantitative protein-based tests offer improved risk stratification but require complex methods restricted to specialized centers. Recently, the first quantitative POC system based on the detection of cytokeratin fragments became available. The aim of the study was to evaluate the diagnostic accuracy of this quantitative POC test. PATIENTS AND METHODS: A total of 198 patients having symptoms suspicious for BC were included. All patients received urethrocystoscopy and upper-tract imaging. Urine samples were analyzed by the urine BC antigen (UBC) rapid POC system and evaluated both visually and quantitatively using the concile Omega 100 POC reader. For visual evaluation, different thresholds of band intensity for considering a test positive were applied. Moreover, the UBC enzyme-linked immunosorbent assay (ELISA), urine cytology, and the nuclear matrix protein 22 BladderChek were performed. Sensitivities and specifities were calculated by contingency analyses. Optimal cutoffs of quantitative tests were determined by receiver operating characteristic curves.
RESULTS: A total of 61 patients (30.8%) were diagnosed with BC. Visual evaluation of the UBC revealed sensitivities of 38.1% to 71.4% with corresponding specificities of 54.1% to 89.1%, dependent on the threshold of band intensity applied. The quantitative UBC rapid showed a sensitivity of 60.7% and a specificity of 70.1% at optimal cutoff (area under the curve = 0.68). A constant increase of both the probability of BC and high-risk BC with increasing UBC rapid values was observed. UBC concentrations determined by the reader significantly correlated with the UBC ELISA (P<0.001). The UBC ELISA, the nuclear matrix protein22 BladderChek and cytology showed sensitivities of 48.3%, 16.4%, and 51.7% with specificities of 71.3%, 95.3%, and 78.1%, respectively.
CONCLUSION: The UBC rapid in combination with a quantitative POC-reader system for the first time enables quantitative determination of a BC marker under POC conditions. Diagnostic accuracy is at least equivalent to elaborate ELISA-based measurement. The quantitative use of the UBC rapid test facilitates risk prediction compared with conventional nonquantitative dichotomized POC testing.
© 2013 Published by Elsevier Inc.

Entities:  

Keywords:  NMP22; UBC rapid; bladder cancer; cytology; point of care; surveillance; urine markers

Mesh:

Substances:

Year:  2013        PMID: 24332643     DOI: 10.1016/j.urolonc.2013.09.024

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  12 in total

Review 1.  Comparison of the clinical usefulness of different urinary tests for the initial detection of bladder cancer: a systematic review.

Authors:  Alessandro Sciarra; Giovanni Di Lascio; Francesco Del Giudice; Pier Paolo Leoncini; Stefano Salciccia; Alessandro Gentilucci; Angelo Porreca; Benjamin I Chung; Giovanni Di Pierro; Gian Maria Busetto; Ettore De Berardinis; Martina Maggi
Journal:  Curr Urol       Date:  2021-03-29

2.  Evaluation of a New Survivin ELISA and UBC® Rapid for the Detection of Bladder Cancer in Urine.

Authors:  Jan Gleichenhagen; Christian Arndt; Swaantje Casjens; Carmen Meinig; Holger Gerullis; Irina Raiko; Thomas Brüning; Thorsten Ecke; Georg Johnen
Journal:  Int J Mol Sci       Date:  2018-01-11       Impact factor: 5.923

3.  Urinary UBC Rapid and NMP22 Test for Bladder Cancer Surveillance in Comparison to Urinary Cytology: Results from a Prospective Single-Center Study.

Authors:  Renate Pichler; Gennadi Tulchiner; Josef Fritz; Georg Schaefer; Wolfgang Horninger; Isabel Heidegger
Journal:  Int J Med Sci       Date:  2017-07-19       Impact factor: 3.738

Review 4.  Recent Developments in the Search for Urinary Biomarkers in Bladder Cancer.

Authors:  Aaron Leiblich
Journal:  Curr Urol Rep       Date:  2017-11-13       Impact factor: 3.092

5.  Diagnostic accuracy of the UBC® Rapid Test for bladder cancer: A meta-analysis.

Authors:  Pei Lu; Jianchun Cui; Keliang Chen; Qiang Lu; Jiexiu Zhang; Jun Tao; Zhijian Han; Wei Zhang; Rijin Song; Min Gu
Journal:  Oncol Lett       Date:  2018-07-05       Impact factor: 2.967

6.  Use of the Nuclear Matrix Protein 22 BladderChek Test for the Detection of Primary and Recurrent Urothelial Carcinoma.

Authors:  Chang-Sheng Xia; Chun-Hong Fan; Ming Su; Qing-Song Wang; Hui-Zhang Bao
Journal:  Dis Markers       Date:  2020-05-08       Impact factor: 3.434

7.  UBC® Rapid Test-A Urinary Point-of-Care (POC) Assay for Diagnosis of Bladder Cancer with a focus on Non-Muscle Invasive High-Grade Tumors: Results of a Multicenter-Study.

Authors:  Thorsten H Ecke; Sarah Weiß; Carsten Stephan; Steffen Hallmann; Christian Arndt; Dimitri Barski; Thomas Otto; Holger Gerullis
Journal:  Int J Mol Sci       Date:  2018-12-02       Impact factor: 5.923

Review 8.  Biomarkers for non-muscle invasive bladder cancer: Current tests and future promise.

Authors:  Fadi Darwiche; Dipen J Parekh; Mark L Gonzalgo
Journal:  Indian J Urol       Date:  2015 Oct-Dec

9.  CD40 is Positively Correlated with the Expression of Nucleophosmin in Cisplatin-Resistant Bladder Cancer.

Authors:  Chenshuo Luo; Ting Lei; Man Zhao; Qian Meng; Man Zhang
Journal:  J Oncol       Date:  2020-04-28       Impact factor: 4.375

10.  Evaluation of the NMP22 BladderChek test for detecting bladder cancer: a systematic review and meta-analysis.

Authors:  Zijie Wang; Hongliang Que; Chuanjian Suo; Zhijian Han; Jun Tao; Zhengkai Huang; Xiaobin Ju; Ruoyun Tan; Min Gu
Journal:  Oncotarget       Date:  2017-10-23
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