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Non-coding RNAs profiling in head and neck cancers

Overview of attention for article published in npj Genomic Medicine, January 2016
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Non-coding RNAs profiling in head and neck cancers
Published in
npj Genomic Medicine, January 2016
DOI 10.1038/npjgenmed.2015.4
Pubmed ID
Authors
Abstract

The majority of studies on human cancers published to date focus on coding genes. More recently, however, non-coding RNAs (ncRNAs) are gaining growing recognition as important regulatory components. Here we characterise the ncRNA landscape in 442 head and neck squamous cell carcinomas (HNSCs) from the cancer genome atlas (TCGA). HNSCs represent an intriguing case to study the potential role of ncRNA as a function of viral presence, especially as HPV is potentially oncogenic. Thus, we identify HPV16-positive (HPV16+) and HPV-negative (HPV-) tumours and study the expression of ncRNAs on both groups. Overall, the ncRNAs comprise 36% of all differentially expressed genes, with antisense RNAs being the most represented ncRNA type (12.6%). Protein-coding genes appear to be more frequently downregulated in tumours compared with controls, whereas ncRNAs show significant upregulation in tumours, especially in HPV16+ tumours. Overall, expression of pseudogenes, antisense and short RNAs is elevated in HPV16+ tumours, while the remaining long non-coding RNA types are more active in all HNSC tumours independent of HPV status. In addition, we identify putative regulatory targets of differentially expressed ncRNAs. Among these 'targets' we find several well-established oncogenes, tumour suppressors, cytokines, growth factors and cell differentiation genes, which indicates the potential involvement of ncRNA in the control of these key regulators as a direct consequence of HPV oncogenic activity. In conclusion, our findings establish the ncRNAs as crucial transcriptional components in HNSCs. Our results display the great potential for the study of ncRNAs and the role they have in human cancers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 21%
Student > Master 7 16%
Student > Bachelor 5 12%
Student > Ph. D. Student 5 12%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 8 19%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Agricultural and Biological Sciences 7 16%
Medicine and Dentistry 6 14%
Computer Science 2 5%
Immunology and Microbiology 2 5%
Other 4 9%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 February 2016.
All research outputs
#7,126,565
of 26,378,648 outputs
Outputs from npj Genomic Medicine
#224
of 417 outputs
Outputs of similar age
#101,628
of 406,291 outputs
Outputs of similar age from npj Genomic Medicine
#6
of 10 outputs
Altmetric has tracked 26,378,648 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 45th percentile – i.e., 45% 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 406,291 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.