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Differential knockdown of TGF-β ligands in a three-dimensional co-culture tumor- stromal interaction model of lung cancer

Overview of attention for article published in BMC Cancer, August 2014
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1 X user

Citations

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Title
Differential knockdown of TGF-β ligands in a three-dimensional co-culture tumor- stromal interaction model of lung cancer
Published in
BMC Cancer, August 2014
DOI 10.1186/1471-2407-14-580
Pubmed ID
Authors

Masafumi Horie, Akira Saito, Satoshi Noguchi, Yoko Yamaguchi, Mitsuhiro Ohshima, Yasuyuki Morishita, Hiroshi I Suzuki, Tadashi Kohyama, Takahide Nagase

Abstract

Transforming growth factor (TGF)-β plays a pivotal role in cancer progression through regulating cancer cell proliferation, invasion, and remodeling of the tumor microenvironment. Cancer-associated fibroblasts (CAFs) are the predominant type of stromal cell, in which TGF-β signaling is activated. Among the strategies for TGF-β signaling inhibition, RNA interference (RNAi) targeting of TGF-β ligands is emerging as a promising tool. Although preclinical studies support the efficacy of this therapeutic strategy, its effect on the tumor microenvironment in vivo remains unknown. In addition, differential effects due to knockdown of various TGF-β ligand isoforms have not been examined. Therefore, an experimental model that recapitulates tumor-stromal interaction is required for validation of therapeutic agents.

X Demographics

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 4 13%
Professor > Associate Professor 3 10%
Other 2 7%
Student > Master 2 7%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Agricultural and Biological Sciences 5 17%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Other 3 10%
Unknown 9 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from BMC Cancer
#5,418
of 8,277 outputs
Outputs of similar age
#164,440
of 230,541 outputs
Outputs of similar age from BMC Cancer
#95
of 145 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,277 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 230,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.