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Cancer Drug Resistance

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

Table of Contents

  1. Altmetric Badge
    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.
  4. Altmetric Badge
    Chapter 3 In Vitro Methods for Studying the Mechanisms of Resistance to DNA-Damaging Therapeutic Drugs.
  5. Altmetric Badge
    Chapter 4 In Vitro Approaches to Study Regulation of Hepatic Cytochrome P450 (CYP) 3A Expression by Paclitaxel and Rifampicin.
  6. Altmetric Badge
    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.
  10. Altmetric Badge
    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
  12. Altmetric Badge
    Chapter 11 Methods for Studying MicroRNA Expression and Their Targets in Formalin-Fixed, Paraffin-Embedded (FFPE) Breast Cancer Tissues
  13. Altmetric Badge
    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.
  15. Altmetric Badge
    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.
  18. Altmetric Badge
    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 1: Cancer Drug Resistance: A Brief Overview from a Genetic Viewpoint
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 news outlet
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2 X users

Citations

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8 Dimensions

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117 Mendeley
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Chapter title
Cancer Drug Resistance: A Brief Overview from a Genetic Viewpoint
Chapter number 1
Book title
Cancer Drug Resistance
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3347-1_1
Pubmed ID
Book ISBNs
978-1-4939-3345-7, 978-1-4939-3347-1
Authors

Rueff, José, Rodrigues, António Sebastião, José Rueff, António Sebastião Rodrigues

Editors

Jose Rueff, António Sebastião Rodrigues

Abstract

Cancer drug resistance leading to therapeutic failure in the treatment of many cancers encompasses various mechanisms and may be intrinsic relying on the patient's genetic makeup or be acquired by tumors that are initially sensitive to cancer drugs. All in all, it may be responsible for treatment failure in over 90 % of patients with metastatic cancer. Cancer drug resistance, in particular acquired resistance, may stem from the micro-clonality/micro-genetic heterogeneity of the tumors whereby, among others, the following mechanisms may entail resistance: altered expression of drug influx/efflux transporters in the tumor cells mediating lower drug uptake and/or greater efflux of the drug; altered role of DNA repair and impairment of apoptosis; role of epigenomics/epistasis by methylation, acetylation, and altered levels of microRNAs leading to alterations in upstream or downstream effectors; mutation of drug targets in targeted therapy and alterations in the cell cycle and checkpoints; and tumor microenvironment that are briefly reviewed.

X Demographics

X Demographics

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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Student > Bachelor 15 13%
Student > Ph. D. Student 10 9%
Researcher 8 7%
Professor > Associate Professor 6 5%
Other 20 17%
Unknown 40 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 22%
Pharmacology, Toxicology and Pharmaceutical Science 10 9%
Agricultural and Biological Sciences 9 8%
Chemistry 9 8%
Immunology and Microbiology 6 5%
Other 12 10%
Unknown 45 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2022.
All research outputs
#2,936,171
of 24,506,807 outputs
Outputs from Methods in molecular biology
#550
of 13,801 outputs
Outputs of similar age
#49,218
of 403,485 outputs
Outputs of similar age from Methods in molecular biology
#83
of 1,461 outputs
Altmetric has tracked 24,506,807 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,801 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 403,485 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 87% of its contemporaries.
We're also able to compare this research output to 1,461 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 94% of its contemporaries.