↓ Skip to main content

Targeting SMAD3 for inhibiting prostate cancer metastasis

Overview of attention for article published in Tumor Biology, July 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
5 Mendeley
Title
Targeting SMAD3 for inhibiting prostate cancer metastasis
Published in
Tumor Biology, July 2014
DOI 10.1007/s13277-014-2368-0
Pubmed ID
Authors

Qing Xia, Chengjiang Li, Pingda Bian, Jue Wang, Shuai Dong

Abstract

Although SMAD3 signaling has been suggested to play a role in the metastasis of various cancers, its possible involvement as well as the underlying mechanism in the pathogenesis in prostate cancer remains unclear. Here, we found that the MMP9 level, an indicator of the invasiveness of cancer cells, negatively correlates with the activity of phosphorylated SMAD3 levels in the prostate cancer patients. Moreover, the phosphorylated SMAD3 also appeared to regulate the MMP9 level in a prostate cancer cell line, PC3. Augmented phosphorylated SMAD3 inhibited MMP9 and invasiveness of PC3 cells, while inhibition of phosphorylated SMAD3 activated MMP9 and promoted PC3 cell invasiveness. Furthermore, forced MMP9 inhibition abolished the effect of phosphorylated SMAD3 on the invasiveness of PC3 cells, while forced MMP9 activation abolished the effect of phosphorylated SMAD3 on the invasiveness of PC3 cells. Taken together, our data suggest the possibility of the existence of a unique signaling cascade in which SMAD3 signaling regulates MMP9 during cancer metastasis.

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Professor > Associate Professor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 60%
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 1 20%
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 29 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Tumor Biology
#1,370
of 2,622 outputs
Outputs of similar age
#163,502
of 228,866 outputs
Outputs of similar age from Tumor Biology
#61
of 114 outputs
Altmetric has tracked 22,758,963 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 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% 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 228,866 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 114 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.