Literature DB >> 21683397

Optimization of nonmuscle invasive bladder cancer recurrence detection using a urine based FGFR3 mutation assay.

Tahlita C M Zuiverloon1, Stephen S Tjin, Martijn Busstra, Chris H Bangma, Egbert R Boevé, Ellen C Zwarthoff.   

Abstract

PURPOSE: FGFR3 mutations occur in 70% of nonmuscle invasive bladder tumors. Although urine based FGFR3 mutation analysis can detect recurrence, its sensitivity may be limited if samples have few or no tumor cells. We determined whether test sensitivity depends on tumor size and the time point of urine collection, and how to increase sensitivity.
MATERIALS AND METHODS: A total of 440 urine samples from 18 patients with a suspicious bladder lesion at cystoscopy were collected during 6 days before surgery. Eight patients (300 samples) had an FGFR3 mutant tumor, including 4 each with a tumor greater than 3 and less than 1.5 cm. Polymerase chain reaction based FGFR3 analysis was done on all tumors and urine samples.
RESULTS: FGFR3 mutations were detected in 257 of the 300 urine samples (86%) from patients with an FGFR3 mutant tumor. Assay sensitivity was 100% for tumors greater than 3 cm and 75% for tumors less than 1.5 cm. It increased to 100% in patients with a less than 1.5 cm tumor when samples were pooled during 24 hours. Sensitivity was not influenced by the time of urine collection. All urine samples from patients with an FGFR3 wild-type tumor were negative for FGFR3 mutation.
CONCLUSIONS: The sensitivity of tumor detection increased with tumor size. FGFR3 assay sensitivity depends on the number of shed tumor cells and improves by increasing urine volume. These findings suggest that there is an upper limit to the sensitivity of the FGFR3 assay when 1 urine sample is analyzed. This may also apply to other DNA or RNA based assays.
Copyright © 2011 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21683397     DOI: 10.1016/j.juro.2011.03.141

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  16 in total

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Review 2.  Molecular biology of bladder cancer: new insights into pathogenesis and clinical diversity.

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3.  Diagnosis of bladder cancer recurrence based on urinary levels of EOMES, HOXA9, POU4F2, TWIST1, VIM, and ZNF154 hypermethylation.

Authors:  Thomas Reinert; Michael Borre; Anders Christiansen; Gregers G Hermann; Torben F Ørntoft; Lars Dyrskjøt
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4.  A Decade of FGF Receptor Research in Bladder Cancer: Past, Present, and Future Challenges.

Authors:  Erica di Martino; Darren C Tomlinson; Margaret A Knowles
Journal:  Adv Urol       Date:  2012-07-31

Review 5.  Bladder cancer detection and monitoring: assessment of urine- and blood-based marker tests.

Authors:  Steve Goodison; Charles J Rosser; Virginia Urquidi
Journal:  Mol Diagn Ther       Date:  2013-04       Impact factor: 4.074

6.  Selection of microsatellite markers for bladder cancer diagnosis without the need for corresponding blood.

Authors:  Angela A G van Tilborg; Lucie C Kompier; Irene Lurkin; Ricardo Poort; Samira El Bouazzaoui; Kirstin van der Keur; Tahlita Zuiverloon; Lars Dyrskjot; Torben F Orntoft; Monique J Roobol; Ellen C Zwarthoff
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

7.  Filtration Device for On-Site Collection, Storage and Shipment of Cells from Urine and Its Application to DNA-Based Detection of Bladder Cancer.

Authors:  Elin Andersson; Christina M Dahmcke; Kenneth Steven; Louise K Larsen; Per Guldberg
Journal:  PLoS One       Date:  2015-07-07       Impact factor: 3.240

8.  EORTC risk tables - their usefulness in the assessment of recurrence and progression risk in non-muscle-invasive bladder cancer in Polish patients.

Authors:  Edyta M Borkowska; Adam Jędrzejczyk; Piotr Marks; James W F Catto; Bogdan Kałużewski
Journal:  Cent European J Urol       Date:  2013-04-26

9.  Size-based enrichment of exfoliated tumor cells in urine increases the sensitivity for DNA-based detection of bladder cancer.

Authors:  Elin Andersson; Kenneth Steven; Per Guldberg
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

10.  Detection of low frequency FGFR3 mutations in the urine of bladder cancer patients using next-generation deep sequencing.

Authors:  John M Millholland; Shuqiang Li; Cecilia A Fernandez; Anthony P Shuber
Journal:  Res Rep Urol       Date:  2012-06-27
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