Literature DB >> 26364695

The Diagnostic and Prognostic Performance of Urinary FGFR3 Mutation Analysis in Bladder Cancer Surveillance: A Prospective Multicenter Study.

Camille Couffignal1, François Desgrandchamps2, Pierre Mongiat-Artus2, Vincent Ravery3, Idir Ouzaid3, Morgan Roupret4, Véronique Phe5, Calin Ciofu6, Florence Tubach7, France Mentre1, Olivier Cussenot8, Bernard Grandchamp9.   

Abstract

OBJECTIVE: To assess the diagnostic and prognostic performance of a noninvasive FGFR3 mutation analysis. After transurethral resection (TUR) of noninvasive bladder transitional cell carcinoma (B-TCC), recurrence occurs in 70% of patients, thus justifying cystoscopic surveillance.
MATERIALS AND METHODS: A prospective multicenter study was carried out with a 2-year follow-up of patients with superficial B-TCC. Urine samples were collected before TUR and then before each cystoscopy during follow-up. Screening for the most prevalent FGFR3 mutations was done using urinary cells. The prognostic significance of an FGFR3 mutation at the time of the initial diagnosis was determined. The performance of the test in diagnosing and/or predicting recurrence during follow-up was assessed by calculating sensitivity and specificity.
RESULTS: Of 191 patients studied, 74 (39%) had a positive analysis before TUR (FGFR3 mutation group). The presence of an FGFR3 mutation at the time of diagnosis was associated with a shorter time to recurrence (P = .02). During follow-up, 68 patients from the FGFR3 mutation group were evaluated. FGFR3 mutation analysis showed a sensitivity of 0.73 and a specificity of 0.87 when compared with the results of cystoscopy. A positive urine test was predictive of recurrence either at the time of the positive result or later during the 2-year follow-up, with a sensitivity of 0.70 and a specificity of 0.87.
CONCLUSION: Among patients with an FGFR3 mutation in the initial tumor, a noninvasive urine test during follow-up can be valuable in diagnosing or predicting subsequent recurrence.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26364695     DOI: 10.1016/j.urology.2015.07.036

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  14 in total

1.  Promoter hypermethylation of HS3ST2, SEPTIN9 and SLIT2 combined with FGFR3 mutations as a sensitive/specific urinary assay for diagnosis and surveillance in patients with low or high-risk non-muscle-invasive bladder cancer.

Authors:  Jean-Pierre Roperch; Bernard Grandchamp; François Desgrandchamps; Pierre Mongiat-Artus; Vincent Ravery; Idir Ouzaid; Morgan Roupret; Véronique Phe; Calin Ciofu; Florence Tubach; Olivier Cussenot; Roberto Incitti
Journal:  BMC Cancer       Date:  2016-09-01       Impact factor: 4.430

Review 2.  Inhibition of the fibroblast growth factor receptor (FGFR) pathway: the current landscape and barriers to clinical application.

Authors:  Young Kwang Chae; Keerthi Ranganath; Peter S Hammerman; Christos Vaklavas; Nisha Mohindra; Aparna Kalyan; Maria Matsangou; Ricardo Costa; Benedito Carneiro; Victoria M Villaflor; Massimo Cristofanilli; Francis J Giles
Journal:  Oncotarget       Date:  2017-02-28

3.  The prognostic significance of DAPK1 in bladder cancer.

Authors:  Jian-Yun Xie; Peng-Chen Chen; Jia-Li Zhang; Ze-Shou Gao; Henrique Neves; Shu-Dong Zhang; Qing Wen; Wei-Dong Chen; Hang Fai Kwok; Yao Lin
Journal:  PLoS One       Date:  2017-04-07       Impact factor: 3.240

4.  A novel ultra-sensitive method for the detection of FGFR3 mutations in urine of bladder cancer patients - Design of the Urodiag® PCR kit for surveillance of patients with non-muscle-invasive bladder cancer (NMIBC).

Authors:  Jean-Pierre Roperch; Claude Hennion
Journal:  BMC Med Genet       Date:  2020-05-24       Impact factor: 2.103

5.  Diagnostic potential of TERT promoter and FGFR3 mutations in urinary cell-free DNA in upper tract urothelial carcinoma.

Authors:  Yujiro Hayashi; Kazutoshi Fujita; Kyosuke Matsuzaki; Makoto Matsushita; Norihiko Kawamura; Yoko Koh; Kosuke Nakano; Cong Wang; Yu Ishizuya; Yoshiyuki Yamamoto; Kentaro Jingushi; Taigo Kato; Atsunari Kawashima; Takeshi Ujike; Akira Nagahara; Motohide Uemura; Ryoichi Imamura; Tetsuya Takao; Shingo Takada; George J Netto; Norio Nonomura
Journal:  Cancer Sci       Date:  2019-04-07       Impact factor: 6.716

6.  Gene mutation detection of urinary sediment cells for NMIBC early diagnose and prediction of NMIBC relapse after surgery.

Authors:  Feng Zhu; Yan Zhang; Lei Shi; Chun-Lei Wu; Shuai-Qi Chen; Hang Zheng; Dong-Kui Song
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

Review 7.  Urine Biopsy-Liquid Gold for Molecular Detection and Surveillance of Bladder Cancer.

Authors:  Uttam Satyal; Abhishek Srivastava; Philip H Abbosh
Journal:  Front Oncol       Date:  2019-11-19       Impact factor: 6.244

Review 8.  Non-blood circulating tumor DNA detection in cancer.

Authors:  Muyun Peng; Chen Chen; Alicia Hulbert; Malcolm V Brock; Fenglei Yu
Journal:  Oncotarget       Date:  2017-08-04

9.  Disparity between Inter-Patient Molecular Heterogeneity and Repertoires of Target Drugs Used for Different Types of Cancer in Clinical Oncology.

Authors:  Marianna A Zolotovskaia; Maxim I Sorokin; Ivan V Petrov; Elena V Poddubskaya; Alexey A Moiseev; Marina I Sekacheva; Nicolas M Borisov; Victor S Tkachev; Andrew V Garazha; Andrey D Kaprin; Peter V Shegay; Alf Giese; Ella Kim; Sergey A Roumiantsev; Anton A Buzdin
Journal:  Int J Mol Sci       Date:  2020-02-26       Impact factor: 5.923

10.  An outcome model for human bladder cancer: A comprehensive study based on weighted gene co-expression network analysis.

Authors:  Yaoyi Xiong; Lushun Yuan; Jing Xiong; Huimin Xu; Yongwen Luo; Gang Wang; Lingao Ju; Yu Xiao; Xinghuan Wang
Journal:  J Cell Mol Med       Date:  2019-12-28       Impact factor: 5.310

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