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The Tumor Cytosol miRNAs, Fluid miRNAs, and Exosome miRNAs in Lung Cancer

Overview of attention for article published in Frontiers in oncology, January 2015
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
The Tumor Cytosol miRNAs, Fluid miRNAs, and Exosome miRNAs in Lung Cancer
Published in
Frontiers in oncology, January 2015
DOI 10.3389/fonc.2014.00357
Pubmed ID
Authors

Xin Qin, Haisheng Xu, Wenrong Gong, Wenbin Deng

Abstract

The focus of this review is to provide an update on the progress of microRNAs (miRNAs) as potential biomarkers for lung cancer. miRNAs are single-stranded, small non-coding RNAs that regulate gene expression and show tissue-specific signatures. Accumulating evidence indicates that miRNA expression patterns represent the in vivo status in physiology and disease. Moreover, miRNAs are stable in serum and other clinically convenient and available tissue sources, so they are being developed as biomarkers for cancer and other diseases. Cancer is currently the primary driver of the field, but miRNA biomarkers are being developed for many other diseases such as cardiovascular and central nervous system diseases. Here, we examine the framework and scope of the miRNA landscape as it specifically relates to the translation of miRNA expression patterns/signatures into biomarkers for developing diagnostics for lung cancer. We focus on examining tumor cytosol miRNAs, fluid miRNAs, and exosome miRNAs in lung cancer, the connections among these miRNAs, and the potential of miRNA biomarkers for the development of diagnostics. In lung cancer, miRNAs have been studied in both cell populations and in the circulation. However, a major challenge is to develop biomarkers to monitor cancer development and to identify circulating miRNAs that are linked to cancer stage. Importantly, the fact that miRNAs can be successfully harvested from biological fluids allows for the development of biofluid biopsies, in which miRNAs as circulating biomarkers can be captured and analyzed ex vivo. Our hope is that these minimally invasive entities provide a window to the in vivo milieu of the patients without the need for costly, complex invasive procedures, rapidly moving miRNAs from research to the clinic.

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X Demographics

The data shown below were collected from the profiles of 4 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 3%
Belgium 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 19%
Student > Master 7 10%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Other 15 21%
Unknown 9 13%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Biochemistry, Genetics and Molecular Biology 16 22%
Agricultural and Biological Sciences 13 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Physics and Astronomy 2 3%
Other 7 10%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 January 2016.
All research outputs
#14,728,114
of 25,576,801 outputs
Outputs from Frontiers in oncology
#3,879
of 22,703 outputs
Outputs of similar age
#178,732
of 359,952 outputs
Outputs of similar age from Frontiers in oncology
#39
of 97 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,703 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 82% of its peers.
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 359,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.