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MicroRNA and Cancer

Overview of attention for book
Cover of 'MicroRNA and Cancer'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Noncoding RNAs in DNA Damage Response: Opportunities for Cancer Therapeutics
  3. Altmetric Badge
    Chapter 2 MicroRNAs in Breast Cancer: Diagnostic and Therapeutic Potential
  4. Altmetric Badge
    Chapter 3 Involvement of miRNAs and Pseudogenes in Cancer
  5. Altmetric Badge
    Chapter 4 MicroRNAs Reprogram Tumor Immune Response
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    Chapter 5 Apolipoprotein B mRNA Editing Enzyme, Catalytic Polypeptide-Like Gene Expression, RNA Editing, and MicroRNAs Regulation
  7. Altmetric Badge
    Chapter 6 MicroRNAs Change the Landscape of Cancer Resistance
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    Chapter 7 MicroRNA, Noise, and Gene Expression Regulation
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    Chapter 8 Deep Sequencing Reveals a MicroRNA Expression Signature in Triple-Negative Breast Cancer
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    Chapter 9 Detection of Plasma MicroRNA Signature in Osteosarcoma Patients
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    Chapter 10 Identification of E6/E7-Dependent MicroRNAs in HPV-Positive Cancer Cells
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    Chapter 11 Combination of Anti-miRNAs Oligonucleotides with Low Amounts of Chemotherapeutic Agents for Pancreatic Cancer Therapy
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    Chapter 12 Evaluation of MicroRNA Delivery In Vivo
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    Chapter 13 Angiogenesis Analysis by In Vitro Coculture Assays in Transwell Chambers in Ovarian Cancer
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    Chapter 14 Application of Individual qPCR Performance Parameters for Quality Control of Circulating MicroRNA Data
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    Chapter 15 Construction of Multi-Potent MicroRNA Sponge and Its Functional Evaluation
  17. Altmetric Badge
    Chapter 16 MicroRNA Sequencing Data Analysis Toolkits
Attention for Chapter 2: MicroRNAs in Breast Cancer: Diagnostic and Therapeutic Potential
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Chapter title
MicroRNAs in Breast Cancer: Diagnostic and Therapeutic Potential
Chapter number 2
Book title
MicroRNA and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7435-1_2
Pubmed ID
Book ISBNs
978-1-4939-7433-7, 978-1-4939-7435-1
Authors

Asia Asiaf, Shiekh Tanveer Ahmad, Wani Arjumand, Mohammad Afzal Zargar, Asiaf, Asia, Ahmad, Shiekh Tanveer, Arjumand, Wani, Zargar, Mohammad Afzal

Abstract

MicroRNAs (miRNAs) are a large family of small, approximately 20-22 nucleotide, noncoding RNAs that regulate the expression of target genes, at the post-transcriptional level. miRNAs are involved in virtually diverse biological processes and play crucial roles in cellular processes, such as cell differentiation, proliferation, and apoptosis. Accumulating lines of evidence have indicated that miRNAs play important roles in the maintenance of biological homeostasis and that aberrant expression levels of miRNAs are associated with the onset of many diseases, including cancer. It is possible that the diverse roles that miRNAs play, have potential to provide valuable information in a clinical setting, demonstrating the potential to act as both screening tools for the stratification of high-risk patients, while informing the treatment decision-making process. Increasing evidence suggests that some miRNAs may even provide assistance in the diagnosis of patients with breast cancer. In addition, miRNAs may themselves be considered therapeutic targets, with inhibition or reintroduction of a particular miRNA capable of inducing a response in-vivo. This chapter discusses the role of miRNAs as oncogenes and tumor suppressors in breast cancer development and metastasis . It focuses on miRNAs that have prognostic, diagnostic, or predictive potential in breast cancer as well as the possible challenges in the translation of such observations to the clinic.

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Researcher 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 17 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Medicine and Dentistry 10 20%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Agricultural and Biological Sciences 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 8%
Unknown 17 33%
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 01 November 2017.
All research outputs
#15,482,347
of 23,007,053 outputs
Outputs from Methods in molecular biology
#5,388
of 13,159 outputs
Outputs of similar age
#269,687
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.