Literature DB >> 19602546

Prediction of muscle-invasive bladder cancer using urinary proteomics.

Eric Schiffer1, Antonia Vlahou, Andreas Petrolekas, Konstantinos Stravodimos, Robert Tauber, Jürgen E Geschwend, Jochen Neuhaus, Jens-Uwe Stolzenburg, Mark R Conaway, Harald Mischak, Dan Theodorescu.   

Abstract

PURPOSE: Minimally invasive methods of predicting the risk of muscle-invasive urothelial bladder carcinoma may expedite appropriate therapy and reduce morbidity and cost. EXPERIMENTAL
DESIGN: Here, capillary electrophoresis coupled mass spectrometry was used to identify urinary polypeptide bladder cancer biomarkers in 127 patients. These markers were used to construct a panel discriminating muscle-invasive from noninvasive disease, which was refined in 297 additional samples from healthy volunteers, patients with malignant and nonmalignant genitourinary conditions. Sequencing of panel polypeptides was then done. Finally, the ability of the panel to predict muscle-invasive disease was evaluated prospectively in 130 bladder carcinoma patients. Four sequenced polypeptides formed a panel predictive of muscle-invasive disease.
RESULTS: Prospective evaluation of this panel revealed a sensitivity of 81% [95% confidence interval (CI), 69-90] and specificity of 57% (95% CI, 45-69) for muscle-invasive disease. Multivariate analysis revealed the panel (P < 0.0001) and tumor grade (P = 0.0001), but not urine cytology, predict muscle invasion. A model including grade and panel polypeptide levels improved sensitivity [92% (95% CI, 82-97)] and specificity [68% (95% CI, 55-79)] for muscle-invasive disease. A model score of >0.88 provided a negative predictive value of 77% and positive predictive value of 90% for muscle invasion.
CONCLUSIONS: Use of urinary peptides seems promising in estimating the probability a patient harbors muscle-invasive urothelial bladder cancer. These peptides may also shed novel insights into the biology of bladder tumor progression not obtainable by other methods. Clinical trials seem warranted to evaluate the effect of this approach on practice.

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Year:  2009        PMID: 19602546     DOI: 10.1158/1078-0432.CCR-09-0226

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  36 in total

1.  Bladder cancer determination via two urinary metabolites: a biomarker pattern approach.

Authors:  Zhenzhen Huang; Lin Lin; Yao Gao; Yongjing Chen; Xiaomei Yan; Jinchun Xing; Wei Hang
Journal:  Mol Cell Proteomics       Date:  2011-07-28       Impact factor: 5.911

Review 2.  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 3.  Proteomic studies of urinary biomarkers for prostate, bladder and kidney cancers.

Authors:  Steven L Wood; Margaret A Knowles; Douglas Thompson; Peter J Selby; Rosamonde E Banks
Journal:  Nat Rev Urol       Date:  2013-02-26       Impact factor: 14.432

4.  [Use of marker systems in the treatment of bladder cancer].

Authors:  M Burger; F Vom Dorp
Journal:  Urologe A       Date:  2011-03       Impact factor: 0.639

5.  Differentiating progressive from nonprogressive T1 bladder cancer by gene expression profiling: applying RNA-sequencing analysis on archived specimens.

Authors:  Xuanhui Sharron Lin; Lan Hu; Kirley Sandy; Mick Correll; John Quackenbush; Chin-Lee Wu; William Scott McDougal
Journal:  Urol Oncol       Date:  2013-09-18       Impact factor: 3.498

Review 6.  Tumoral markers in bladder cancer (Review).

Authors:  Ovidiu Bratu; Dragos Marcu; Radu Anghel; Dan Spinu; Lucian Iorga; Irina Balescu; Nicolae Bacalbasa; Camelia Diaconu; Cornel Savu; Carmen Savu; Alexandru Cherciu
Journal:  Exp Ther Med       Date:  2021-05-18       Impact factor: 2.447

7.  Eight-plex iTRAQ labeling and quantitative proteomic analysis for human bladder cancer.

Authors:  Qimin Zhang; Shengsong Huang; Huarong Luo; Xin Zhao; Gang Wu; Denglong Wu
Journal:  Am J Cancer Res       Date:  2017-04-01       Impact factor: 6.166

8.  Research Progress of Urine Biomarkers in the Diagnosis, Treatment, and Prognosis of Bladder Cancer.

Authors:  Feng Jin; Muhammad Shahid; Jayoung Kim
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 9.  Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

Authors:  Steve Goodison; Charles J Rosser; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2009-10       Impact factor: 3.940

10.  Bladder cancer invasion predictability based on preoperative neutrophil-lymphocyte ratio.

Authors:  Mehmet Kaynar; Mehmet Erol Yıldırım; Hüseyin Badem; Mücahit Caviş; Erdem Tekinarslan; Mustafa Okan Istanbulluoğlu; Ömer Faruk Karataş; Ersin Çimentepe
Journal:  Tumour Biol       Date:  2014-04-03
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