Literature DB >> 28889391

Urinary Protein Markers for the Detection and Prognostication of Urothelial Carcinoma.

Tibor Szarvas1, Péter Nyirády2, Osamu Ogawa3, Hideki Furuya4, Charles J Rosser4, Takashi Kobayashi3.   

Abstract

Bladder cancer diagnosis and surveillance is mainly based on cystoscopy and urine cytology. However, both methods have significant limitations; urine cytology has a low sensitivity for low-grade tumors, while cystoscopy is uncomfortable for the patients. Therefore, in the last decade urine analysis was the subject of intensive research resulting in the identification of many potential biomarkers for the detection, surveillance, or prognostic stratification of bladder cancer. Current trends move toward the development of multiparametric models to improve the diagnostic accuracy compared with single molecular markers. Recent technical advances for high-throughput and more sensitive measurements have led to the development of multiplex assays showing potential for more efficient tools toward future clinical application. In this review, we focus on the findings of urinary protein research in the context of detection and prognostication of bladder cancer. Furthermore, we provide an up-to-date overview on the recommendations for the quality evaluation of published studies as well as for the conduction of future urinary biomarker studies.

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Keywords:  Biomarker; Bladder cancer; Diagnosis; Prognosis; Urine

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Year:  2018        PMID: 28889391     DOI: 10.1007/978-1-4939-7234-0_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  A Diagnostic Gene Expression Signature for Bladder Cancer Can Stratify Cases into Prescribed Molecular Subtypes and Predict Outcome.

Authors:  Runpu Chen; Ian Pagano; Yijun Sun; Kaoru Murakami; Steve Goodison; Ramanathan Vairavan; Malak Tahsin; Peter C Black; Charles J Rosser; Hideki Furuya
Journal:  Diagnostics (Basel)       Date:  2022-07-25

2.  Comparison of Commercial ELISA Kits, a Prototype Multiplex Electrochemoluminescent Assay, and a Multiplex Bead-Based Immunoassay for Detecting a Urine-Based Bladder-Cancer-Associated Diagnostic Signature.

Authors:  Hideki Furuya; Ian Pagano; Keanu Chee; Takashi Kobayashi; Regan S Wong; Riko Lee; Charles J Rosser
Journal:  Diagnostics (Basel)       Date:  2019-10-29
  2 in total

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