↓ Skip to main content

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
  3. Altmetric Badge
    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.
  7. Altmetric Badge
    Chapter 6 Dynamics of Expression of Drug Transporters: Methods for Appraisal.
  8. Altmetric Badge
    Chapter 7 Fluorimetric Methods for Analysis of Permeability, Drug Transport Kinetics, and Inhibition of the ABCB1 Membrane Transporter
  9. Altmetric Badge
    Chapter 8 Resistance to Targeted Therapies in Breast Cancer.
  10. Altmetric Badge
    Chapter 9 MicroRNAs and Cancer Drug Resistance
  11. Altmetric Badge
    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
  14. Altmetric Badge
    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
  16. Altmetric Badge
    Chapter 15 Clinical and Molecular Methods in Drug Development: Neoadjuvant Systemic Therapy in Breast Cancer as a Model.
  17. Altmetric Badge
    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 11: Methods for Studying MicroRNA Expression and Their Targets in Formalin-Fixed, Paraffin-Embedded (FFPE) Breast Cancer Tissues
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Methods for Studying MicroRNA Expression and Their Targets in Formalin-Fixed, Paraffin-Embedded (FFPE) Breast Cancer Tissues
Chapter number 11
Book title
Cancer Drug Resistance
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3347-1_11
Pubmed ID
Book ISBNs
978-1-4939-3345-7, 978-1-4939-3347-1
Authors

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

Editors

Jose Rueff, António Sebastião Rodrigues

Abstract

Drug resistance remains a burden in cancer treatment. In the past few years molecular genetics brought a new hope with personalized therapy. This individual approach allows the identification of genetic profiles that will respond better to a given treatment and consequently get a better outcome. Recently, physicians received an extra aid with the approval of molecular tools based on gene expression signatures. With these tools, physicians have the capacity to identify the probability of disease recurrence in the first 5 years following diagnosis, a fact that is essential for a more effective adjuvant therapy administration. However, some patients still relapse and acquire drug resistance and aggressive tumors. For that reason, a comprehensive understanding of the molecular players in drug resistance is of extreme importance. MicroRNAs have been described as regulators of various cellular pathways and as predictive and prognostic factors. As broad regulators, microRNAs also interfere with drug metabolism and drug targets. Thus it is of paramount importance to understand which microRNAs are deregulated in breast cancer and try to relate this misexpression with resistance to therapeutics, poor outcomes, and survival. Here, we describe a possible approach to study microRNA expression and respective targets from formalin-fixed, paraffin-embedded (FFPE) breast cancer tissues. FFPE tissues are regularly archived for long periods in pathology departments, and microRNAs are well conserved in these tissues.

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Professor > Associate Professor 3 16%
Student > Bachelor 2 11%
Other 2 11%
Student > Doctoral Student 1 5%
Other 4 21%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 42%
Agricultural and Biological Sciences 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Psychology 1 5%
Other 2 11%
Unknown 3 16%
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.