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Cancer Drug Resistance

Overview of attention for book
Cover of 'Cancer Drug Resistance'

Table of Contents

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    Book Overview
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    Chapter 1 Cancer Drug Resistance: A Brief Overview from a Genetic Viewpoint
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    Chapter 2 Classical and Targeted Anticancer Drugs: An Appraisal of Mechanisms of Multidrug Resistance.
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    Chapter 3 In Vitro Methods for Studying the Mechanisms of Resistance to DNA-Damaging Therapeutic Drugs.
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    Chapter 4 In Vitro Approaches to Study Regulation of Hepatic Cytochrome P450 (CYP) 3A Expression by Paclitaxel and Rifampicin.
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    Chapter 5 Uptake and Permeability Studies to Delineate the Role of Efflux Transporters.
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    Chapter 6 Dynamics of Expression of Drug Transporters: Methods for Appraisal.
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    Chapter 7 Fluorimetric Methods for Analysis of Permeability, Drug Transport Kinetics, and Inhibition of the ABCB1 Membrane Transporter
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    Chapter 8 Resistance to Targeted Therapies in Breast Cancer.
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    Chapter 9 MicroRNAs and Cancer Drug Resistance
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    Chapter 10 The Role of MicroRNAs in Resistance to Current Pancreatic Cancer Treatment: Translational Studies and Basic Protocols for Extraction and PCR Analysis
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    Chapter 11 Methods for Studying MicroRNA Expression and Their Targets in Formalin-Fixed, Paraffin-Embedded (FFPE) Breast Cancer Tissues
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    Chapter 12 The Regulatory Role of Long Noncoding RNAs in Cancer Drug Resistance
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    Chapter 13 Cancer Exosomes as Mediators of Drug Resistance.
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    Chapter 14 Isolation and Characterization of Cancer Stem Cells from Primary Head and Neck Squamous Cell Carcinoma Tumors
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    Chapter 15 Clinical and Molecular Methods in Drug Development: Neoadjuvant Systemic Therapy in Breast Cancer as a Model.
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    Chapter 16 Proteomics in the Assessment of the Therapeutic Response of Antineoplastic Drugs: Strategies and Practical Applications.
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    Chapter 17 Managing Drug Resistance in Cancer: Role of Cancer Informatics
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    Chapter 18 Erratum to: In Vitro Methods for Studying the Mechanisms of Resistance to DNA-Damaging Therapeutic Drugs
Attention for Chapter 14: Isolation and Characterization of Cancer Stem Cells from Primary Head and Neck Squamous Cell Carcinoma Tumors
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Chapter title
Isolation and Characterization of Cancer Stem Cells from Primary Head and Neck Squamous Cell Carcinoma Tumors
Chapter number 14
Book title
Cancer Drug Resistance
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3347-1_14
Pubmed ID
26910078
Book ISBNs
978-1-4939-3345-7, 978-1-4939-3347-1
Authors

Kim, Hong S, Pearson, Alexander T, Nör, Jacques E, Hong S. Kim, Alexander T. Pearson M.D., Ph.D., Jacques E. Nör D.D.S., Ph.D., Alexander T. Pearson, Jacques E. Nör

Editors

Jose Rueff, António Sebastião Rodrigues

Abstract

Drug resistance remains a significant problem in the treatment of patients with head and neck squamous cell carcinoma (HNSCC). Recent reports showed that a subpopulation of highly tumorigenic cells, called cancer stem cells (CSCs), is uniquely resistant to chemotherapy, suggesting that these cells play an important role in the relapse of HNSCC. The development of methods for the isolation and culture of cancer stem cells is a key step to enable studies exploring the mechanisms underlying the role of these cells in chemoresistance. Here, we describe a method to isolate cancer stem cells from primary head and neck tumors and for the generation of orospheres.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Other 2 14%
Student > Doctoral Student 2 14%
Professor 2 14%
Student > Bachelor 1 7%
Other 2 14%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Agricultural and Biological Sciences 3 21%
Immunology and Microbiology 2 14%
Unspecified 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 February 2016.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from Methods in molecular biology
#9,917
of 13,127 outputs
Outputs of similar age
#330,642
of 393,602 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 393,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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