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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 9: MicroRNAs and Cancer Drug Resistance
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Citations

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Chapter title
MicroRNAs and Cancer Drug Resistance
Chapter number 9
Book title
Cancer Drug Resistance
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3347-1_9
Pubmed ID
26910073
Book ISBNs
978-1-4939-3345-7, 978-1-4939-3347-1
Authors

Gomes, Bruno Costa, Rueff, José, Rodrigues, António Sebastião, Bruno Costa Gomes, José Rueff, António Sebastião Rodrigues

Editors

Jose Rueff, António Sebastião Rodrigues

Abstract

The discovery of small regulatory noncoding RNAs revolutionized our thinking on gene regulation. The class of microRNAs (miRs), a group of small noncoding RNAs (20-22 nt in length) that bind imperfectly to the 3'-untranslated region of target mRNA, has been insistently implicated in several pathological conditions including cancer. Indeed, major hallmarks of cancer, such as cell differentiation, cell proliferation, cell cycle, cell survival, and cell invasion, has been described as being regulated by miRs. Recent studies have also implicated miRs in cancer drug resistance. Regardless of the several studies done until now, drug resistance still is a burden for cancer therapy and patients' outcome, often resulting in more aggressive tumors that tend to metastasize to distant organs. Hence, with this review, we aim to summarize the miRs that influence molecular pathways that are involved in cancer drug resistance, such as drug metabolism, drug influx/efflux, DNA damage response (DDR), epithelial-to-mesenchymal transition (EMT), and cancer stem cells.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Other 2 9%
Researcher 2 9%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 9%
Unknown 6 26%
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
#18,925,536
of 24,119,703 outputs
Outputs from Methods in molecular biology
#7,746
of 13,610 outputs
Outputs of similar age
#276,513
of 402,030 outputs
Outputs of similar age from Methods in molecular biology
#777
of 1,462 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,610 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 38th percentile – i.e., 38% 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 402,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,462 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.

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