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Detection of Long Non-Coding RNA in Archival Tissue: Correlation with Polycomb Protein Expression in Primary and Metastatic Breast Carcinoma

Overview of attention for article published in PLOS ONE, October 2012
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 X user
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1 patent

Citations

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125 Dimensions

Readers on

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106 Mendeley
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1 CiteULike
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Title
Detection of Long Non-Coding RNA in Archival Tissue: Correlation with Polycomb Protein Expression in Primary and Metastatic Breast Carcinoma
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047998
Pubmed ID
Authors

Karen M. Chisholm, Yue Wan, Rui Li, Kelli D. Montgomery, Howard Y. Chang, Robert B. West

Abstract

A major function of long non-coding RNAs (lncRNAs) is regulating gene expression through changes in chromatin state. Experimental evidence suggests that in cancer, they can influence Polycomb Repressive Complexes (PRC) to retarget to an occupancy pattern resembling that of the embryonic state. We have previously demonstrated that the expression level of lncRNA in the HOX locus, including HOTAIR, is a predictor of breast cancer metastasis. In this current project, RNA in situ hybridization of probes to three different lncRNAs (HOTAIR, ncHoxA1, and ncHoxD4), as well a immunohistochemical staining of EZH2, is undertaken in formalin-fixed paraffin-embedded breast cancer tissues in a high throughput tissue microarray format to correlate expression with clinicopathologic features. Though overall EZH2 and HOTAIR expression levels were highly correlated, the subset of cases with strong HOTAIR expression correlated with ER and PR positivity, while the subset of cases with strong EZH2 expression correlated with an increased proliferation rate, ER and PR negativity, HER2 underexpression, and triple negativity. Co-expression of HOTAIR and EZH2 trended with a worse outcome. In matched primary and metastatic cancers, both HOTAIR and EZH2 had increased expression in the metastatic carcinomas. This is the first study to show that RNA in situ hybridization of formalin fixed paraffin-embedded clinical material can be used to measure levels of long non-coding RNAs. This approach offers a method to make observations on lncRNAs that may influence the cancer epigenome in a tissue-based technique.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Sweden 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 22 21%
Student > Master 14 13%
Student > Bachelor 10 9%
Student > Postgraduate 6 6%
Other 19 18%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 30%
Biochemistry, Genetics and Molecular Biology 24 23%
Medicine and Dentistry 18 17%
Computer Science 3 3%
Immunology and Microbiology 3 3%
Other 12 11%
Unknown 14 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 February 2015.
All research outputs
#7,175,598
of 22,684,168 outputs
Outputs from PLOS ONE
#84,850
of 193,651 outputs
Outputs of similar age
#56,406
of 183,393 outputs
Outputs of similar age from PLOS ONE
#1,675
of 4,829 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 183,393 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 68% of its contemporaries.
We're also able to compare this research output to 4,829 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 63% of its contemporaries.