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Systematic identification of the key candidate genes in breast cancer stroma

Overview of attention for article published in Cellular & Molecular Biology Letters, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 488)
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 blog
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Citations

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31 Dimensions

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46 Mendeley
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Title
Systematic identification of the key candidate genes in breast cancer stroma
Published in
Cellular & Molecular Biology Letters, September 2018
DOI 10.1186/s11658-018-0110-4
Pubmed ID
Authors

Yanxia Wang, Hui Xu, Baoan Zhu, Zhenling Qiu, Zaijun Lin

Abstract

Tumor microenvironment, in particular the stroma, plays an important role in breast cancer cell invasion and metastasis. Investigation of the molecular characteristics of breast cancer stroma may reveal targets for future study. The transcriptome profiles of breast cancer stroma and normal breast stroma were compared to identify differentially expressed genes (DEGs). The method was analysis of GSE26910 and GSE10797 datasets. Common DEGs were identified and then analyses of enriched pathways and hub genes were performed. A total of 146 DEGs were common to GSE26910 and GSE10797. The enriched pathways were associated with "extracellular matrix (ECM) organization", "ECM-receptor interaction" and "focal adhesion". Network analysis identified six key genes, including JUN, FOS, ATF3, STAT1, COL1A1 and FN1. Notably, COL1A1 and FN1 were identified for the first time as cancer stromal key genes associated with breast cancer invasion and metastasis. Oncome analysis showed that the high expression levels of COL1A1 and FN1 correlated to an advanced stage of breast cancer and poor clinical outcomes. We found that several conserved tumor stromal genes might regulate breast cancer invasion through ECM remodeling. The clinical outcome analyses of COL1A1 and FN1 suggest these two genes are promising targets for future studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Bachelor 9 20%
Student > Master 6 13%
Researcher 4 9%
Professor 1 2%
Other 3 7%
Unknown 13 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Medicine and Dentistry 5 11%
Agricultural and Biological Sciences 3 7%
Chemistry 3 7%
Computer Science 2 4%
Other 5 11%
Unknown 17 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2018.
All research outputs
#3,729,170
of 23,103,436 outputs
Outputs from Cellular & Molecular Biology Letters
#22
of 488 outputs
Outputs of similar age
#74,073
of 341,518 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#1
of 17 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 488 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 95% 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 341,518 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 has done particularly well, scoring higher than 94% of its contemporaries.