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Analysis of the Polycomb-related lncRNAs HOTAIR and ANRIL in bladder cancer

Overview of attention for article published in Clinical Epigenetics, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

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12 tweeters

Citations

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54 Dimensions

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47 Mendeley
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Title
Analysis of the Polycomb-related lncRNAs HOTAIR and ANRIL in bladder cancer
Published in
Clinical Epigenetics, October 2015
DOI 10.1186/s13148-015-0141-x
Pubmed ID
Authors

Mónica Martínez-Fernández, Andrew Feber, Marta Dueñas, Cristina Segovia, Carolina Rubio, Maria Fernandez, Felipe Villacampa, José Duarte, Fernando F. López-Calderón, Ma José Gómez-Rodriguez, Daniel Castellano, Jose L. Rodriguez-Peralto, Federico de la Rosa, Stephan Beck, Jesús M. Paramio

Abstract

Long non-coding RNAs (lncRNAs) have been claimed as key molecular players in gene expression regulation, being involved in diverse epigenetic processes. They are aberrantly expressed in various tumors, but their exact role in bladder cancer is still obscure. We have recently found a major role of the Polycomb repression complex in recurrence of non-muscle-invasive bladder cancer. Here, we report the xpression of Polycomb-related lncRNAs:antisense noncoding RNA in the INK4 locus (ANRIL) and HOX antisense intergenic RNA (HOTAIR) in these tumors. We studied a dataset of non-invasive bladder cancer samples by quantitative reverse transcription PCR (RT-qPCR) and analyzed also invasive bladder cancer samples using TCGA data. Our results showed that, while ANRIL seemed not to have a determining role, an increased HOTAIR expression appeared in recurrent and high-graded tumors associated with poor prognosis. In addition, through genome-wide transcriptome analyses, we observed that HOTAIR-EZH2-complex-regulated genes can efficiently discriminate between non-tumoral, recurrent, and non-recurrent bladder cancer samples. We also observed a significant correlation between EZH2 and HOTAIR expression levels. Using overexpression, knockdown, and pharmacological approaches in bladder cancer cell lines, we also observed that EZH2 regulates HOTAIR expression. Our findings indicate that HOTAIR expression has prognostic value for bladder cancer progression, recurrence, and survival and suggest that HOTAIR plays active roles in modulating the cancer epigenome, becoming an interesting candidate as a target for cancer diagnosis and therapy. The observed HOTAIR regulation by EZH2 and the possibility of modulating EZH2 activity with specific inhibitors open new possible paths to be explored in bladder cancer therapy.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Switzerland 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 8 17%
Student > Doctoral Student 6 13%
Student > Master 4 9%
Other 3 6%
Other 9 19%
Unknown 7 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 34%
Medicine and Dentistry 10 21%
Agricultural and Biological Sciences 7 15%
Unspecified 2 4%
Psychology 2 4%
Other 3 6%
Unknown 7 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 October 2015.
All research outputs
#2,943,861
of 13,453,528 outputs
Outputs from Clinical Epigenetics
#160
of 662 outputs
Outputs of similar age
#53,973
of 253,245 outputs
Outputs of similar age from Clinical Epigenetics
#9
of 17 outputs
Altmetric has tracked 13,453,528 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 662 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 75% 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 253,245 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.