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A step-by-step microRNA guide to cancer development and metastasis

Overview of attention for article published in Cellular Oncology, July 2017
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Title
A step-by-step microRNA guide to cancer development and metastasis
Published in
Cellular Oncology, July 2017
DOI 10.1007/s13402-017-0341-9
Pubmed ID
Authors

Georgios S. Markopoulos, Eugenia Roupakia, Maria Tokamani, Evangelia Chavdoula, Maria Hatziapostolou, Christos Polytarchou, Kenneth B. Marcu, Athanasios G. Papavassiliou, Raphael Sandaltzopoulos, Evangelos Kolettas

Abstract

Cancer is one of the leading causes of mortality. The neoplastic transformation of normal cells to cancer cells is caused by a progressive accumulation of genetic and epigenetic alterations in oncogenes, tumor suppressor genes and epigenetic regulators, providing cells with new properties, collectively known as the hallmarks of cancer. During the process of neoplastic transformation cells progressively acquire novel characteristics such as unlimited growth potential, increased motility and the ability to migrate and invade adjacent tissues, the ability to spread from the tumor of origin to distant sites, and increased resistance to various types of stresses, mostly attributed to the activation of genetic stress-response programs. Accumulating evidence indicates a crucial role of microRNAs (miRNAs or miRs) in the initiation and progression of cancer, acting either as oncogenes (oncomirs) or as tumor suppressors via several molecular mechanisms. MiRNAs comprise a class of small ~22 bp long noncoding RNAs that play a key role in the regulation of gene expression at the post-transcriptional level, acting as negative regulators of mRNA translation and/or stability. MiRNAs are involved in the regulation of a variety of biological processes including cell cycle progression, DNA damage responses and apoptosis, epithelial-to-mesenchymal cell transitions, cell motility and stemness through complex and interactive transcription factor-miRNA regulatory networks. The impact and the dynamic potential of miRNAs with oncogenic or tumor suppressor properties in each stage of the multistep process of tumorigenesis, and in the adaptation of cancer cells to stress, are discussed. We propose that the balance between oncogenic versus tumor suppressive miRNAs acting within transcription factor-miRNA regulatory networks, influences both the multistage process of neoplastic transformation, whereby normal cells become cancerous, and their stress responses. The role of specific tumor-derived exosomes containing miRNAs and their use as biomarkers in diagnosis and prognosis, and as therapeutic targets, are also discussed.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Master 13 13%
Researcher 11 11%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 15 15%
Unknown 31 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 28%
Agricultural and Biological Sciences 14 14%
Medicine and Dentistry 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Nursing and Health Professions 2 2%
Other 11 11%
Unknown 33 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 11 May 2018.
All research outputs
#16,291,311
of 23,999,200 outputs
Outputs from Cellular Oncology
#181
of 426 outputs
Outputs of similar age
#203,801
of 320,046 outputs
Outputs of similar age from Cellular Oncology
#5
of 11 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 47th percentile – i.e., 47% 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 320,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.