Literature DB >> 23350736

Chromosomal instability and bladder cancer: the UroVysion(TM) test in the UroScreen study.

Nadine Bonberg1, Dirk Taeger, Katarzyna Gawrych, Georg Johnen, Séverine Banek, Christian Schwentner, Karl-Dietrich Sievert, Harald Wellhäußer, Matthias Kluckert, Gabriele Leng, Michael Nasterlack, Arnulf Stenzl, Thomas Behrens, Thomas Brüning, Beate Pesch.   

Abstract

UNLABELLED: What's known on the subject? and what does the study add?: UroVysion™ is a multicolour fluorescence in situ hybridisation assay that detects DNA gain at chromosomes 3, 7 and 17 and loss at the 9p21 locus in exfoliated urothelial cells. This cell-based test is time-consuming and costly compared with voided urine cytology or other molecular markers for the early detection of bladder cancer. We determined copy number changes at chromosomes 3, 7 and 17 and at the 9p21 locus with UroVysion in a prospective screening study among chemical workers. Strong correlations between DNA gains yield a similar performance in detecting bladder cancer with just one of the probes for chromosomes 3, 7 or 17 instead of all, supporting the development of a simpler and cheaper assay.
OBJECTIVE: To explore changes at chromosomes 3, 7, 17 and 9p21 in order to assess associations with bladder cancer for possible improvements of the UroVysion™ assay regarding screening. SUBJECTS AND METHODS: In all, 1609 men took part in the prospective study UroScreen. Annual screening for bladder cancer was offered to male chemical workers with former exposure to aromatic amines as a voluntary surveillance programme between 2003 and 2010. In all, 191 434 cells in 6517 UroVysion tests were analysed for copy number variations (CNV) at chromosome 3, 7, 17 (gains) and 9p21 (deletions) in 1595 men. We assessed CNVs at single or multiple loci using polysomy indices (PIs, called multiple PI and PI 3, PI 7 and PI 17). We calculated Spearman's rank correlation coefficients (rs ) between these PIs and receiver operating characteristic (ROC) curves with areas under the curves (AUCs). We applied Cox regression to estimate hazard ratios (HRs) to assess the risk of developing bladder cancer.
RESULTS: Nine out of 21 bladder tumours detected in 20 participants ('cases') had a positive UroVysion test, including seven high-grade carcinomas and seven overlapping results with a positive cytology. Four cases with negative test results did not attend screening annually. No case was found because of a complete loss of 9p21 in at least 12 cells. There were strong correlations between pairwise combinations of gains at chromosome 3, 7 or 17, ranging between rs = 0.98 and rs = 0.99 in cases and between rs = 0.84 and rs = 0.88 in non-cases (P < 0.001). Associations were less pronounced with CNVs at 9p21 among cases and were lacking in non-cases. Estimates of the relative risk of DNA gain for developing a bladder tumour assessed with PIs (threshold 10% of cells) were 47.7 (95% confidence interval [CI] 18.3-124.1) for the multiple PI, 44.5 (95%CI 16.5-119.9) for PI 3, 34.7 (95%CI 13.1-92.1) for PI 7 and 52.4 (95%CI 20.7-132.6) for PI 17, as well as 7.9 (95%CI 3.0-20.6) for a complete loss of 9p21 (threshold 2.5% of cells), respectively. ROC analyses showed similar AUCs for multiple PI compared with PIs of single chromosomes 3, 7 and 17 (all AUCs between 0.79 and 0.80) and a lower AUC for a homozygous loss of 9p21 (AUC 0.72).
CONCLUSIONS: The UroVysion assay showed a reasonable performance in detecting bladder cancer in the present study population and shared positive test results with cytology, which is much cheaper. A simpler, faster and cheaper version of the UroVysion assay might rely on the very strong correlations between gains at chromosomes 3, 7 and 17, resulting in a similar performance in detecting bladder cancer with single-probe PIs compared with the full set of these probes. Loss of 9p21 was less predictive for developing bladder cancer in UroScreen.
© 2013 BJU International.

Entities:  

Keywords:  UroVysion; bladder cancer; chromosomal instability; fluorescence in situ hybridisation; urine

Mesh:

Year:  2013        PMID: 23350736     DOI: 10.1111/j.1464-410X.2012.11666.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  14 in total

1.  Screening for bladder cancer with urinary tumor markers in chemical workers with exposure to aromatic amines.

Authors:  Beate Pesch; Dirk Taeger; Georg Johnen; Katarzyna Gawrych; Nadine Bonberg; Christian Schwentner; Harald Wellhäusser; Matthias Kluckert; Gabriele Leng; Michael Nasterlack; Yair Lotan; Arnulf Stenzl; Thomas Brüning
Journal:  Int Arch Occup Environ Health       Date:  2013-10-16       Impact factor: 3.015

2.  Comparison of different concepts for interpretation of chromosomal aberrations in urothelial cells detected by fluorescence in situ hybridization.

Authors:  Johannes Mischinger; Lutz Philipp Guttenberg; Jörg Hennenlotter; Georgios Gakis; Stefan Aufderklamm; Steffen Rausch; Eva Neumann; Jens Bedke; Stefan Kruck; Christian Schwentner; Arnulf Stenzl; Tilman Todenhöfer
Journal:  J Cancer Res Clin Oncol       Date:  2016-12-02       Impact factor: 4.553

Review 3.  Developing proteomic biomarkers for bladder cancer: towards clinical application.

Authors:  Maria Frantzi; Agnieszka Latosinska; Leif Flühe; Marie C Hupe; Elena Critselis; Mario W Kramer; Axel S Merseburger; Harald Mischak; Antonia Vlahou
Journal:  Nat Rev Urol       Date:  2015-05-26       Impact factor: 14.432

Review 4.  UroVysion fluorescence in situ hybridization in urothelial carcinoma: a narrative review and future perspectives.

Authors:  Takashi Nagai; Taku Naiki; Toshiki Etani; Keitaro Iida; Yusuke Noda; Nobuhiko Shimizu; Teruki Isobe; Satoshi Nozaki; Takehiko Okamura; Ryosuke Ando; Noriyasu Kawai; Takahiro Yasui
Journal:  Transl Androl Urol       Date:  2021-04

5.  Genomic instability in complicated and uncomplicated Egyptian schistosomiasis haematobium patients.

Authors:  Amany A Abd El-Aal; Ibrahim R Bayoumy; Maha M A Basyoni; Asmaa A Abd El-Aal; Ashraf M Emran; Magda S Abd El-Tawab; Manal A Badawi; Rabab M Zalat; Tarek M Diab
Journal:  Mol Cytogenet       Date:  2015-01-22       Impact factor: 2.009

6.  Application of Machine Learning to Development of Copy Number Variation-based Prediction of Cancer Risk.

Authors:  Xiaofan Ding; Shui-Ying Tsang; Siu-Kin Ng; Hong Xue
Journal:  Genomics Insights       Date:  2014-06-26

Review 7.  Utility of molecular tests in cytopathology.

Authors:  Arthur David Somoza; F Zahra Aly
Journal:  Cytojournal       Date:  2014-03-20       Impact factor: 2.091

8.  Chromosomal alterations in exfoliated urothelial cells from bladder cancer cases and healthy men: a prospective screening study.

Authors:  Nadine Bonberg; Beate Pesch; Thomas Behrens; Georg Johnen; Dirk Taeger; Katarzyna Gawrych; Christian Schwentner; Harald Wellhäußer; Matthias Kluckert; Gabriele Leng; Michael Nasterlack; Christoph Oberlinner; Arnulf Stenzl; Thomas Brüning
Journal:  BMC Cancer       Date:  2014-11-20       Impact factor: 4.430

Review 9.  The Role of Chromosomal Instability in Cancer and Therapeutic Responses.

Authors:  Natalia Vargas-Rondón; Victoria E Villegas; Milena Rondón-Lagos
Journal:  Cancers (Basel)       Date:  2017-12-28       Impact factor: 6.639

Review 10.  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
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