| Title |
Inhibition of cancer cell migration with CuS@mSiO2-PEG nanoparticles by repressing MMP-2/MMP-9 expression
|
|---|---|
| Published in |
International Journal of Nanomedicine, December 2017
|
| DOI | 10.2147/ijn.s148487 |
| Pubmed ID | |
| Authors |
Guoying Deng, Feng Zhou, Zizheng Wu, Fei Zhang, Kerun Niu, Yingjie Kang, Xijian Liu, Qiugen Wang, Yin Wang, Qian Wang |
| Abstract |
The metastasis of cancer cells is a vital aspect of disease progression and therapy. Although a few nanoparticles (NPs) aimed at controlling metastasis in cancer therapy have been reported, the NPs are normally combined with drugs, yet the direct therapeutic effects of the NPs are not reported. To study the direct influence of NPs on cancer metastasis, the potential suppression capacity of CuS@mSiO2-PEG NPs to tumor cell migration, a kind of typical photothermal NPs, was systemically evaluated in this study. Using CuS@mSiO2-PEG NP stimulation and a transwell migration assay, we found that the migration of HeLa cells was significantly decreased. This phenomenon may be associated with two classical proteins in metastasis: matrix metalloproteinase 2 (MMP-2) and matrix metalloproteinase 9 (MMP-9). In addition, the mechanism may closely associate with non-receptor tyrosine kinase protein (SRC)/focal adhesion kinase (FAK) signaling pathway which varies in vivo and in vitro. To confirm the differences in the expression of SRC and FAK, related inhibitors were studied for additional comparison. Also, the results indicated that even though the migration inhibition was closely related to SRC and FAK signaling pathway, there may be another unknown regulation mechanism existing and its metastasis inhibition was significant. Confirmed by long-term survival curve study, CuS@mSiO2-PEG NPs significantly reduced the metastasis of cancer cells and improved the survival rates of metastasis in a mouse model. Thus, we believe that the direct influence of NPs on cancer cell metastasis is a promising study topic. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 3 | 16% |
| Student > Master | 3 | 16% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Materials Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
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 26 December 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#3,127
of 4,122 outputs
Outputs of similar age
#338,762
of 444,941 outputs
Outputs of similar age from International Journal of Nanomedicine
#53
of 71 outputs
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