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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
  2. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 Erratum to: In Vitro Methods for Studying the Mechanisms of Resistance to DNA-Damaging Therapeutic Drugs
Attention for Chapter 13: Cancer Exosomes as Mediators of Drug Resistance.
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet

Citations

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8 Dimensions

Readers on

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43 Mendeley
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Chapter title
Cancer Exosomes as Mediators of Drug Resistance.
Chapter number 13
Book title
Cancer Drug Resistance
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3347-1_13
Pubmed ID
Book ISBNs
978-1-4939-3345-7, 978-1-4939-3347-1
Authors

Maria do Rosário André, Ana Pedro, David Lyden, André, Maria do Rosário, Pedro, Ana, Lyden, David

Editors

José Rueff, António Sebastião Rodrigues

Abstract

In the last decades, several studies demonstrated that the tumor microenvironment is a critical determinant not only of tumor progression and metastasis, but also of resistance to therapy. Exosomes are small membrane vesicles of endocytic origin, which contain mRNAs, DNA fragments, and proteins, and are released by many different cell types, including cancer cells. Mounting evidence has shown that cancer-derived exosomes contribute to the recruitment and reprogramming of constituents associated with the tumor microenvironment. Understanding how exosomes and the tumor microenvironment impact drug resistance will allow novel and better strategies to overcome drug resistance and treat cancer.Here, we describe a technique for exosome purification from cell culture, and fresh and frozen plasma, and further analysis by electron microscopy, NanoSight microscope, and Western blot.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 9 21%
Student > Master 6 14%
Student > Doctoral Student 3 7%
Professor 2 5%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Medicine and Dentistry 11 26%
Agricultural and Biological Sciences 4 9%
Engineering 2 5%
Chemistry 2 5%
Other 4 9%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 April 2018.
All research outputs
#4,191,633
of 22,880,230 outputs
Outputs from Methods in molecular biology
#1,135
of 13,132 outputs
Outputs of similar age
#71,853
of 393,709 outputs
Outputs of similar age from Methods in molecular biology
#168
of 1,471 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 393,709 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 80% of its contemporaries.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.