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Oncogenic long noncoding RNA landscape in breast cancer

Overview of attention for article published in Molecular Cancer, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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5 tweeters

Citations

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177 Dimensions

Readers on

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84 Mendeley
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Title
Oncogenic long noncoding RNA landscape in breast cancer
Published in
Molecular Cancer, July 2017
DOI 10.1186/s12943-017-0696-6
Pubmed ID
Authors

Shouping Xu, Dejia Kong, Qianlin Chen, Yanyan Ping, Da Pang

Abstract

Few long noncoding RNAs (lncRNAs) that act as oncogenic genes in breast cancer have been identified. Oncogenic lncRNAs associated with tumourigenesis and worse survival outcomes were examined and validated in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), respectively. Then, the potential biological functions and expression regulation of these lncRNAs were studied via bioinformatics and genome data analysis. Moreover, progressive breast cancer subtype-specific lncRNAs were investigated via high-throughput sequencing in our cohort and TCGA validation. To elucidate the mechanisms of the regulation of these lncRNAs, genomic alterations from the TCGA, Broad, Sanger and BCCRC data, as well as epigenetic modifications from GEO data, were then applied and examined to meet this objective. Finally, cell proliferation assays, flow cytometry analyses and TUNEL assays were applied to validate the oncogenic roles of these lncRNAs in vitro. A cluster of oncogenic lncRNAs that was upregulated in breast cancer tissue and was associated with worse survival outcomes was identified. These oncogenic lncRNAs are involved in regulating immune system activation and the TGF-beta and Jak-STAT signalling pathways. Moreover, TINCR, LINC00511, and PPP1R26-AS1 were identified as subtype-specific lncRNAs associated with HER-2, triple-negative and luminal B subtypes of breast cancer, respectively. The up-regulation of these oncogenic lncRNAs is mainly caused by gene amplification in the genome in breast cancer and other solid tumours. Finally, the knockdown of TINCR, DSCAM-AS1 or HOTAIR inhibited breast cancer cell proliferation, increased apoptosis and inhibited cell cycle progression in vitro. These findings enhance the landscape of known oncogenic lncRNAs in breast cancer and provide insights into their roles. This understanding may potentially aid in the comprehensive management of breast cancer.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 25%
Student > Ph. D. Student 14 17%
Student > Master 12 14%
Student > Bachelor 7 8%
Student > Doctoral Student 5 6%
Other 4 5%
Unknown 21 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 39%
Agricultural and Biological Sciences 12 14%
Medicine and Dentistry 8 10%
Immunology and Microbiology 2 2%
Business, Management and Accounting 1 1%
Other 5 6%
Unknown 23 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 August 2017.
All research outputs
#6,470,564
of 11,547,113 outputs
Outputs from Molecular Cancer
#398
of 976 outputs
Outputs of similar age
#121,291
of 262,990 outputs
Outputs of similar age from Molecular Cancer
#5
of 16 outputs
Altmetric has tracked 11,547,113 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 976 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 57% 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 262,990 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 51% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.