Literature DB >> 18325051

A comparison of the performance of microsatellite and methylation urine analysis for predicting the recurrence of urothelial cell carcinoma, and definition of a set of markers by Bayesian network analysis.

Morgan Rouprêt1, Vincent Hupertan, David R Yates, Eva Comperat, James W F Catto, Mark Meuth, Amine Lackmichi, Sylvie Ricci, Roger Lacave, Bernard Gattegno, François Richard, Freddie C Hamdy, Olivier Cussenot.   

Abstract

OBJECTIVE: To compare the potential of two diagnostic methods for detecting recurrence of urothelial cell carcinoma (UCC) of the bladder, by (i) detecting alterations in microsatellite DNA markers and loss of heterozygosity (LOH), and (ii) detecting aberrant gene hypermethylation, as UCC has a high recurrence rate in the urinary tract and the disease can invade muscle if new tumours are overlooked. PATIENTS AND METHODS: Over 1 year, urine samples were retrieved from 40 patients already diagnosed with bladder UCC (30 pTa, two pTis, eight pT1). Samples were collected 6 months after bladder tumour resection, during the follow-up schedule. We used samples to analyse nine microsatellite markers and the methylation status of 11 gene promoters. Receiver operating characteristic curves were generated and Bayesian statistics used to create an interaction network between recurrence and the biomarkers.
RESULTS: During the study, 15 of the 40 patients (38%) had a tumour recurrence and 14 were identified by cystoscopy (reference method). Overall, microsatellite markers (area under curve, AUC 0.819, 95% confidence interval, CI, 0.677-0.961) had better performance characteristics than promoter hypermethylation (AUC 0.448, 0.259-0.637) for detecting recurrence. A marker panel of IFNA, MBP, ACTBP2, D9S162 and of RASSF1A, and WIF1 generated a higher diagnostic accuracy of 86% (AUC 0.92, 0.772-0.981).
CONCLUSION: Microsatellite markers have better performance characteristics than promoter hypermethylation for detecting UCC recurrence. These data support the further development of a combination of only six markers from both methods in urinary DNA. Once validated, it could be used routinely during the follow-up for the early detection and surveillance of UCC from the lower and upper urinary tract.

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Year:  2008        PMID: 18325051     DOI: 10.1111/j.1464-410X.2008.07591.x

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


  16 in total

1.  Promoter methylation of H-cadherin is a potential biomarker in patients with bladder transitional cell carcinoma.

Authors:  Ying-Li Lin; Xiao-Qiang Liu; Wen-Ping Li; Guang Sun; Chun-Ting Zhang
Journal:  Int Urol Nephrol       Date:  2011-04-24       Impact factor: 2.370

2.  Hypermethylation in bladder cancer: biological pathways and translational applications.

Authors:  Marta Sánchez-Carbayo
Journal:  Tumour Biol       Date:  2012-01-25

Review 3.  DNA methylation-based biomarkers in bladder cancer.

Authors:  Raju Kandimalla; Angela A van Tilborg; Ellen C Zwarthoff
Journal:  Nat Rev Urol       Date:  2013-04-30       Impact factor: 14.432

Review 4.  Clinical states model for biomarkers in bladder cancer.

Authors:  Andrea B Apolo; Matthew Milowsky; Dean F Bajorin
Journal:  Future Oncol       Date:  2009-09       Impact factor: 3.404

5.  A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model.

Authors:  Wade P Smith; Jason Doctor; Jürgen Meyer; Ira J Kalet; Mark H Phillips
Journal:  Artif Intell Med       Date:  2009-01-20       Impact factor: 5.326

6.  [Urine marker systems for diagnosis of urothelial cancer].

Authors:  S Tritschler; F Strittmatter; A Karl; C Stief
Journal:  Urologe A       Date:  2013-07       Impact factor: 0.639

Review 7.  Toward urinary cell-free DNA-based treatment of urothelial carcinoma: a narrative review.

Authors:  Yujiro Hayashi; Kazutoshi Fujita
Journal:  Transl Androl Urol       Date:  2021-04

8.  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
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

9.  CDH1 methylation in preoperative peritoneal washes is an independent prognostic factor for gastric cancer.

Authors:  Qi-Ming Yu; Xin-Bao Wang; Jun Luo; Shi Wang; Xian-Hua Fang; Jiang-Liu Yu; Zhi-Qiang Ling
Journal:  J Surg Oncol       Date:  2012-04-18       Impact factor: 3.454

10.  Pseudogene ACTBP2 increases blood-brain barrier permeability by promoting KHDRBS2 transcription through recruitment of KMT2D/WDR5 in Aβ1-42 microenvironment.

Authors:  Qianshuo Liu; Xiaobai Liu; Defeng Zhao; Xuelei Ruan; Rui Su; Xiuli Shang; Di Wang; Chunqing Yang; Yixue Xue
Journal:  Cell Death Discov       Date:  2021-06-14
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