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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 13: The N-butyl-N-4-hydroxybutyl Nitrosamine Mouse Urinary Bladder Cancer Model.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Chapter title
The N-butyl-N-4-hydroxybutyl Nitrosamine Mouse Urinary Bladder Cancer Model.
Chapter number 13
Book title
Urothelial Carcinoma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7234-0_13
Pubmed ID
Book ISBNs
978-1-4939-7233-3, 978-1-4939-7234-0
Authors

Oliveira, Paula A, Vasconcelos-Nóbrega, Cármen, Gil da Costa, Rui M, Arantes-Rodrigues, Regina, Paula A. Oliveira, Cármen Vasconcelos-Nóbrega, Rui M. Gil da Costa, Regina Arantes-Rodrigues, Oliveira, Paula A., Gil da Costa, Rui M.

Abstract

Urinary bladder cancer (UBC) is a common and complex malignancy, with a multifactorial etiology, like environmental factors, such as cigarette smoking, occupational exposure, and genetic factors.UBC exhibits considerable genotypic and phenotypic heterogeneity. Among all UBC lesions, urothelial carcinoma is the most frequently observed histological type. Despite all the developments made in urologic oncology field, therapeutic options remain inadequate. There is urgency for the identification and development of new antineoplastic drugs to replace or improve current protocols and in vivo models have been proven to be essential for this step. There are different animal models of UBC: Spontaneous and experimentally induced models (genetically engineered, transplantable-xenograft and syngeneic animals- and chemically induced models). N-butyl-N(4-hydroxybutil)nitrosamine (BBN) is the most suitable reagent to generate chemically induced in vivo models of UBC and to study bladder carcinogenesis. BBN has proven, over the years, to be very realistic and reliable. It is bladder specific, and induces high tumor incidence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Researcher 4 13%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 7 22%
Unknown 10 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Biochemistry, Genetics and Molecular Biology 3 9%
Immunology and Microbiology 2 6%
Medicine and Dentistry 2 6%
Other 5 16%
Unknown 11 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 March 2024.
All research outputs
#2,315,571
of 25,542,788 outputs
Outputs from Methods in molecular biology
#347
of 14,263 outputs
Outputs of similar age
#50,988
of 450,586 outputs
Outputs of similar age from Methods in molecular biology
#16
of 1,485 outputs
Altmetric has tracked 25,542,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,263 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 450,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1,485 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.