| Title |
Paclitaxel-loaded star-shaped copolymer nanoparticles for enhanced malignant melanoma chemotherapy against multidrug resistance
|
|---|---|
| Published in |
Drug Design, Development and Therapy, March 2017
|
| DOI | 10.2147/dddt.s127328 |
| Pubmed ID | |
| Authors |
Yongsheng Su, Jian Hu, Zhibin Huang, Yubin Huang, Bingsheng Peng, Ni Xie, Hui Liu |
| Abstract |
Malignant melanoma (MM) is the most dangerous type of skin cancer with annually increasing incidence and death rates. However, chemotherapy for MM is restricted by low topical drug concentration and multidrug resistance. In order to surmount the limitation and to enhance the therapeutic effect on MM, a new nanoformulation of paclitaxel (PTX)-loaded cholic acid (CA)-functionalized star-shaped poly(lactide-co-glycolide) (PLGA)-D-α-tocopheryl polyethylene glycol 1000 succinate (TPGS) nanoparticles (NPs) (shortly PTX-loaded CA-PLGA-TPGS NPs) was fabricated by a modified method of nanoprecipitation. The particle size, zeta potential, morphology, drug release profile, drug encapsulation efficiency, and loading content of PTX-loaded NPs were detected. As shown by confocal laser scanning, NPs loaded with coumarin-6 were internalized by human melanoma cell line A875. The cellular uptake efficiency of CA-PLGA-TPGS NPs was higher than those of PLGA NPs and PLGA-TPGS NPs. The antitumor effects of PTX-loaded NPs were evaluated by the MTT assay in vitro and by a xenograft tumor model in vivo, demonstrating that star-shaped PTX-loaded CA-PLGA-TPGS NPs were significantly superior to commercial PTX formulation Taxol(®). Such drug delivery nanocarriers are potentially applicable to the improvement of clinical MM therapy. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Student > Bachelor | 6 | 12% |
| Student > Ph. D. Student | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 27% |
| Chemistry | 6 | 12% |
| Medicine and Dentistry | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Chemical Engineering | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 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 07 May 2017.
All research outputs
#16,839,069
of 25,540,105 outputs
Outputs from Drug Design, Development and Therapy
#1,016
of 2,273 outputs
Outputs of similar age
#200,367
of 324,846 outputs
Outputs of similar age from Drug Design, Development and Therapy
#29
of 50 outputs
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