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Urothelial Carcinoma

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Cover of 'Urothelial Carcinoma'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of Chromosomal Alterations in Urothelial Carcinoma
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    Chapter 2 Analysis of Point Mutations in Clinical Samples of Urothelial Carcinoma
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    Chapter 3 A Versatile Assay for Detection of Aberrant DNA Methylation in Bladder Cancer.
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    Chapter 4 Immunohistochemical Analysis of Urothelial Carcinoma Tissues for Proliferation and Differentiation Markers
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    Chapter 5 Molecular Subtype Profiling of Urothelial Carcinoma Using a Subtype-Specific Immunohistochemistry Panel
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    Chapter 6 Defining the Pathways of Urogenital Schistosomiasis-Associated Urothelial Carcinogenesis through Transgenic and Bladder Wall Egg Injection Models.
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    Chapter 7 Algorithm for the Automated Evaluation of NAT2 Genotypes
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    Chapter 8 Detection of APOBEC3 Proteins and Catalytic Activity in Urothelial Carcinoma
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    Chapter 9 Oxidative Stress in Urothelial Carcinogenesis: Measurements of Protein Carbonylation and Intracellular Production of Reactive Oxygen Species
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    Chapter 10 Urothelial Carcinoma Stem Cells: Current Concepts, Controversies, and Methods.
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    Chapter 11 In Vitro Differentiation and Propagation of Urothelium from Pluripotent Stem Cell Lines.
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    Chapter 12 Spheroid Cultures of Primary Urothelial Cancer Cells: Cancer Tissue-Originated Spheroid (CTOS) Method
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    Chapter 13 The N-butyl-N-4-hydroxybutyl Nitrosamine Mouse Urinary Bladder Cancer Model.
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    Chapter 14 Patient-Derived Bladder Cancer Xenografts
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    Chapter 15 Orthotopic Mouse Models of Urothelial Cancer
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    Chapter 16 Quantification of MicroRNAs in Urine-Derived Specimens.
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    Chapter 17 Quantitative RNA Analysis from Urine Using Real Time PCR
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    Chapter 18 DNA Methylation Analysis from Body Fluids.
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    Chapter 19 Urinary Protein Markers for the Detection and Prognostication of Urothelial Carcinoma
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    Chapter 20 Isolation and Characterization of CTCs from Patients with Cancer of a Urothelial Origin
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    Chapter 21 Epigenetic Treatment Options in Urothelial Carcinoma.
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    Chapter 22 Evaluation of Protein Levels of the Receptor Tyrosine Kinase ErbB3 in Serum
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    Chapter 23 Targeting the PI3K/AKT/mTOR Pathway in Bladder Cancer
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    Chapter 24 Visualization and Quantitative Measurement of Drug-Induced Platinum Adducts in the Nuclear DNA of Individual Cells by an Immuno-Cytological Assay
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    Chapter 25 Erratum to: Urinary Protein Markers for the Detection and Prognostication of Urothelial Carcinoma
Attention for Chapter 19: Urinary Protein Markers for the Detection and Prognostication of Urothelial Carcinoma
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Chapter title
Urinary Protein Markers for the Detection and Prognostication of Urothelial Carcinoma
Chapter number 19
Book title
Urothelial Carcinoma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7234-0_19
Pubmed ID
Book ISBNs
978-1-4939-7233-3, 978-1-4939-7234-0
Authors

Tibor Szarvas, Péter Nyirády, Osamu Ogawa, Hideki Furuya, Charles J. Rosser, Takashi Kobayashi, Szarvas, Tibor, Nyirády, Péter, Ogawa, Osamu, Furuya, Hideki, Rosser, Charles J., Kobayashi, Takashi

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 2 13%
Engineering 1 6%
Unknown 6 38%