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Dove Medical Press

Expression profile analysis of long noncoding RNA in ER-positive subtype breast cancer using microarray technique and bioinformatics

Overview of attention for article published in Cancer Management and Research, December 2017
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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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Expression profile analysis of long noncoding RNA in ER-positive subtype breast cancer using microarray technique and bioinformatics
Published in
Cancer Management and Research, December 2017
DOI 10.2147/cmar.s151120
Pubmed ID
Authors

Jing Peng, Lei Zhang, Chenwei Yuan, Liheng Zhou, Shuguang Xu, Yanping Lin, Jie Zhang, Wenjin Yin, Jinsong Lu

Abstract

The estrogen receptor (ER)-positive subtype of breast cancer (BC) is the most common type of BC. A number of long noncoding RNAs (lncRNAs) play critical roles in cancer biology, including BC. Previous lncRNA profiling studies have focused only on triple-negative BC and HER 2-positive BC, and no studies have specifically focused on lncRNAs in ER-positive BC. In this study, we analyzed the expression profile of the lncRNAs and mRNAs found in this particular subtype of BC for the first time. We evaluated lncRNA microarray data from four pairs of primary BC and adjuvant nontumor breast tissues. Then, we screened out the differently expressed genes and measured the correlation of the expression levels of lncRNAs and ERalpha by Pearson's correlation coefficient analysis. We also performed classification and length distribution of the dysregulated lncRNAs. KEGG pathway analysis was used to understand the biological roles of these differently expressed genes. lncRNA-mRNA coexpression networks were constructed. Finally, RT-PCR was employed to validate the microarray analysis findings. We screened out 2,178 differently expressed lncRNAs, and 13 lncRNAs were found to be associated with the ER expression level. Classification analysis showed that most lncRNAs belonged to intergenic lncRNA and were from 400 to 800 nt in length. Chromosome distribution showed that many of the lncRNAs were mapped to chromosome 1. In the pathway analysis, most of the genes were related to cancer-associated behaviors, such as p53 signaling pathway, cell cycle, focal adhesion, and ECM-receptor interaction. lncRNA-mRNA coexpression networks were constructed, and the lncRNAs related to ESR1, BRCA1, and BRCA2 in the two groups were significantly different. The RT-PCR results were consistent with the data obtained from the microarrays. These results provide useful information for exploring potential novel biomarkers as diagnosis and therapy targets for the clinical treatment of ER-positive BC.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Bachelor 3 14%
Student > Doctoral Student 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Other 1 5%
Unknown 8 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 36%
Medicine and Dentistry 4 18%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unknown 8 36%
Attention Score in Context

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 02 September 2021.
All research outputs
#5,665,113
of 23,011,300 outputs
Outputs from Cancer Management and Research
#220
of 2,017 outputs
Outputs of similar age
#109,357
of 437,944 outputs
Outputs of similar age from Cancer Management and Research
#9
of 42 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,017 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 88% 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 437,944 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 42 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.