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Long noncoding RNAs: new insights into non-small cell lung cancer biology, diagnosis and therapy

Overview of attention for article published in Medical Oncology, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Citations

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47 Mendeley
Title
Long noncoding RNAs: new insights into non-small cell lung cancer biology, diagnosis and therapy
Published in
Medical Oncology, January 2016
DOI 10.1007/s12032-016-0731-2
Pubmed ID
Authors

Biagio Ricciuti, Clelia Mencaroni, Luca Paglialunga, Francesco Paciullo, Lucio Crinò, Rita Chiari, Giulio Metro

Abstract

Recent advances in tiling array and high throughput analyses revealed that at least 87.3 % of the human genome is actively transcribed, though <3 % of the human genome encodes proteins. This unexpected truth suggests that most of the transcriptome is constituted by noncoding RNA. Among them, high-resolution microarray and massively parallel sequencing analyses identified long noncoding RNAs (lncRNAs) as nonprotein-coding transcripts. lncRNAs are largely polyadenylated and >200 nucleotides in length transcripts, involved in gene expression through epigenetic and transcriptional regulation, splicing, imprinting and subcellular transport. Although lncRNAs functions are largely uncharacterized, accumulating data indicate that they are involved in fundamental biological functions. Conversely, their dysregulation has increasingly been recognized to contribute to the development and progression of several human malignancies, especially lung cancer, which represents the leading cause of cancer-related deaths worldwide. We conducted a comprehensive review of the published literature focusing on lncRNAs function and disruption in nonsmall cell lung cancer biology, also highlighting their value as biomarkers and potential therapeutic targets. lncRNAs are involved in NSCLC pathogenesis, modulating fundamental cellular processes such as proliferation, cell growth, apoptosis, migration, stem cell maintenance and epithelial to mesenchymal transition, also serving as signaling transducers, molecular decoys and scaffolds. Also, lncRNAs represent very promising biomarkers in early-stage NSCLC patients and may become particularly useful in noninvasive screening protocols. lncRNAs may be used as predictive biomarkers for chemotherapy and targeted therapies sensitivity. Furthermore, selectively targeting oncogenic lncRNAs could provide a new therapeutic tool in treating NSCLC patients. lncRNAs disruption plays a pivotal role in NSCLC development and progression. These molecules also serve as diagnostic, prognostic and predictive biomarkers. Characterization of lncRNA genes and their mechanisms of action will enable us to develop a more comprehensive clinical approach, with the final goal to benefit our patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
India 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 8 17%
Student > Bachelor 6 13%
Student > Master 5 11%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 12 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 21%
Biochemistry, Genetics and Molecular Biology 9 19%
Medicine and Dentistry 7 15%
Chemistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 4 9%
Unknown 12 26%
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 27 January 2016.
All research outputs
#13,220,363
of 22,840,638 outputs
Outputs from Medical Oncology
#500
of 1,294 outputs
Outputs of similar age
#184,951
of 394,468 outputs
Outputs of similar age from Medical Oncology
#3
of 14 outputs
Altmetric has tracked 22,840,638 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 1,294 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 60% 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 394,468 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 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.