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A novel double-targeted nondrug delivery system for targeting cancer stem cells

Overview of attention for article published in International Journal of Nanomedicine, December 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 tweeters

Citations

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19 Dimensions

Readers on

mendeley
43 Mendeley
Title
A novel double-targeted nondrug delivery system for targeting cancer stem cells
Published in
International Journal of Nanomedicine, December 2016
DOI 10.2147/ijn.s116230
Pubmed ID
Authors

Shupei Qiao, Yufang Zhao, Shuai Geng, Yong Li, Xiaolu Hou, Yi Liu, Feng-Huei Lin, Lifen Yao, Weiming Tian

Abstract

Instead of killing cancer stem cells (CSCs), the conventional chemotherapy used for cancer treatment promotes the enrichment of CSCs, which are responsible for tumor growth, metastasis, and recurrence. However, most therapeutic agents are only able to kill a small proportion of CSCs by targeting one or two cell surface markers or dysregulated CSC pathways, which are usually shared with normal stem cells (NSCs). In this study, we developed a novel nondrug delivery system for the dual targeting of CSCs by conjugating hyaluronic acid (HA) and grafting the doublecortin-like kinase 1 (DCLK1) monoclonal antibody to the surface of poly(ethylene glycol) (PEG)-poly(d,l-lactide-co-glycolide) (PLGA) nanoparticles (NPs), which can specifically target CD44 receptors and the DCLK1 surface marker - the latter was shown to possess the capacity to distinguish between CSCSs and NSCs. The size and morphology of these NPs were characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). This was followed by studies of NP encapsulation efficiency and in vitro drug release properties. Then, the cytotoxicity of the NPs was tested via Cell Counting Kit-8 assay. Finally, the 4T1 CSCs were obtained from the alginate-based platform, which we developed as an in vitro tumor model. Tumor-bearing nude mice were used as in vivo models to systematically detect the ability of NPs to target CSCs. Our results showed that the DCLK1-HA-PEG-PLGA NPs exhibited a targeting effect toward CSCs both in vitro and in vivo. These findings have important implications for the rational design of drug delivery systems that target CSCs with high efficacy.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 8 19%
Student > Master 7 16%
Student > Bachelor 4 9%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 8 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 19%
Chemistry 7 16%
Medicine and Dentistry 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Agricultural and Biological Sciences 4 9%
Other 4 9%
Unknown 9 21%

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 20 December 2016.
All research outputs
#4,433,289
of 8,800,428 outputs
Outputs from International Journal of Nanomedicine
#727
of 1,936 outputs
Outputs of similar age
#149,921
of 301,374 outputs
Outputs of similar age from International Journal of Nanomedicine
#22
of 83 outputs
Altmetric has tracked 8,800,428 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,936 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 62% 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 301,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.