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MicroRNA Cancer Regulation

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 MicroRNAs in Human Cancer.
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    Chapter 2 Bioinformatics, Non-coding RNAs and Its Possible Application in Personalized Medicine
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    Chapter 3 MicroRNA Target Prediction and Validation
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    Chapter 4 MicroRNA-Regulated Networks: The Perfect Storm for Classical Molecular Biology, the Ideal Scenario for Systems Biology
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    Chapter 5 The p53/microRNA Network in Cancer: Experimental and Bioinformatics Approaches
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    Chapter 6 MicroRNAs in Melanoma Biology.
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    Chapter 7 MicroRNAs in the Lung
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    Chapter 8 The E2F1-miRNA Cancer Progression Network
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    Chapter 9 Modeling microRNA-Transcription Factor Networks in Cancer
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    Chapter 10 Coordinated Networks of microRNAs and Transcription Factors with Evolutionary Perspectives
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    Chapter 11 Mathematical modeling of microRNA-mediated mechanisms of translation repression
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    Chapter 12 Web Resources for microRNA Research
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    Chapter 13 Discovery of microRNA Regulatory Networks by Integrating Multidimensional High-Throughput Data.
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    Chapter 14 Discovering Functional microRNA-mRNA Regulatory Modules in Heterogeneous Data
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    Chapter 15 Elucidating the Role of microRNAs in Cancer Through Data Mining Techniques
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    Chapter 16 Working Together: Combinatorial Regulation by microRNAs
  18. Altmetric Badge
    Chapter 17 Erratum
Attention for Chapter 6: MicroRNAs in Melanoma Biology.
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Chapter title
MicroRNAs in Melanoma Biology.
Chapter number 6
Book title
MicroRNA Cancer Regulation
Published in
Advances in experimental medicine and biology, December 2012
DOI 10.1007/978-94-007-5590-1_6
Pubmed ID
Book ISBNs
978-9-40-075589-5, 978-9-40-075590-1
Authors

Kunz M, Manfred Kunz M.D., Manfred Kunz

Editors

Ulf Schmitz, Olaf Wolkenhauer, Julio Vera

Abstract

Malignant melanoma is a highly aggressive tumour with increasing -incidence and poor prognosis in the metastatic stage. In recent years, a substantial number of reports on individual miRNAs or miRNA patterns have been published providing strong evidence that miRNAs might play an important role in malignant melanoma and might help to better understand the molecular mechanisms of melanoma development and progression. A major preliminary finding was that melanoma-associated miRNAs are often located in genomic regions with frequent gains and losses in tumours. Detailed studies of different groups thereafter identified miRNAs with differential expression in benign melanocytes compared with melanoma cell lines or in benign melanocytic lesions compared with melanomas. Among these were let-7a and b, miR-23a and b, miR-148, miR-155, miR-182, miR-200c, miR-211, miR214, and miR-221 and 222. Some of these miRNAs target well-known melanoma-associated genes like the NRAS oncogene, microphthalmia-associated transcription factor (MITF), receptor tyrosine kinase c-KIT or AP-2 transcription factors (TFAP2). Although we are still far from a complete understanding of the role of miRNA-target gene interactions in malignant melanoma, these findings further underscore the notion of a direct involvement of miRNAs in melanoma biology. Very recently, a prognostic signature of six miRNAs has been identified consisting of miRNAs miR-150, miR-342-3p, miR-455-3p, miR-145, miR-155, and miR-497. High expression of these miRNAs was shown to be associated with improved long-term survival of metastatic patients.

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 4 18%
Student > Bachelor 3 14%
Student > Master 3 14%
Student > Doctoral Student 2 9%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 32%
Agricultural and Biological Sciences 5 23%
Computer Science 2 9%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Other 2 9%
Unknown 4 18%
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 13 June 2013.
All research outputs
#15,272,977
of 22,711,645 outputs
Outputs from Advances in experimental medicine and biology
#2,487
of 4,911 outputs
Outputs of similar age
#181,298
of 280,199 outputs
Outputs of similar age from Advances in experimental medicine and biology
#76
of 157 outputs
Altmetric has tracked 22,711,645 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 4,911 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 37th percentile – i.e., 37% 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 280,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.