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Urothelial Carcinoma

Overview of attention for book
Cover of 'Urothelial Carcinoma'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 10: Urothelial Carcinoma Stem Cells: Current Concepts, Controversies, and Methods.
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Chapter title
Urothelial Carcinoma Stem Cells: Current Concepts, Controversies, and Methods.
Chapter number 10
Book title
Urothelial Carcinoma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7234-0_10
Pubmed ID
Book ISBNs
978-1-4939-7233-3, 978-1-4939-7234-0
Authors

Hatina, Jiri, Parmar, Hamendra Singh, Kripnerova, Michaela, Hepburn, Anastasia, Heer, Rakesh, Jiri Hatina, Hamendra Singh Parmar, Michaela Kripnerova, Anastasia Hepburn, Rakesh Heer

Abstract

Cancer stem cells are defined as a self-renewing and self-protecting subpopulation of cancer cells able to differentiate into morphologically and functionally diverse cancer cells with a limited lifespan. To purify cancer stem cells, two basic approaches can be applied, the marker-based approach employing various more of less-specific cell surface marker molecules and a marker-free approach largely based on various self-protection mechanisms. Within the context of urothelial carcinoma, both methods could find use. The cell surface markers have been mainly derived from the urothelial basal cell, a probable cell of origin of muscle-invasive urothelial carcinoma, with CD14, CD44, CD90, and 67LR representing successful examples of this strategy. The marker-free approaches involve side population sorting, for which a detailed protocol is provided, as well as the Aldefluor assay, which rely on a specific overexpression of efflux pumps or the detoxification enzyme aldehyde dehydrogenase, respectively, in stem cells. These assays have been applied to both non-muscle-invasive and muscle-invasive bladder cancer samples and cell lines. Urothelial carcinoma stem cells feature a pronounced heterogeneity as to their molecular stemness mechanisms. Several aspects of urothelial cancer stem cell biology could enter translational development rather soon, e.g., a specific CD44(+)-derived gene expression signature able to identify non-muscle-invasive bladder cancer patients with a high risk of progression, or deciphering a mechanism responsible for repopulating activity of urothelial carcinoma stem cells within the context of therapeutic resistance.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Researcher 2 20%
Lecturer 1 10%
Student > Ph. D. Student 1 10%
Lecturer > Senior Lecturer 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Agricultural and Biological Sciences 2 20%
Chemistry 1 10%
Medicine and Dentistry 1 10%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2018.
All research outputs
#14,363,636
of 23,001,641 outputs
Outputs from Methods in molecular biology
#4,221
of 13,154 outputs
Outputs of similar age
#240,373
of 442,237 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,498 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,154 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.