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Dual drugs (microRNA-34a and paclitaxel)-loaded functional solid lipid nanoparticles for synergistic cancer cell suppression

Overview of attention for article published in Journal of Controlled Release, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 X user
patent
3 patents

Readers on

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127 Mendeley
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Article details
Title
Dual drugs (microRNA-34a and paclitaxel)-loaded functional solid lipid nanoparticles for synergistic cancer cell suppression
Published in
Journal of Controlled Release, September 2014
DOI 10.1016/j.jconrel.2014.09.005
Pubmed ID
Authors
Abstract

A co-delivery system that can transport cancer related microRNAs and chemotherapeutics to their distinct targets in the tumors is an attractive strategy to eliminate tumor relapse in lung cancer therapy. In this study, we developed a dual-drug delivery system for an endogenous microRNA (miR-34a) and paclitaxel (PTX) for synergistic cancer therapy. PTX (a meiotic inhibitor) and miR-34a were loaded into cationic solid lipid nanoparticles (miSLNs-34a/PTX) which were used to treat murine B16F10-CD44(+) melanoma metastasized to the lungs of mice. This nanoparticle system demonstrated good protection for miR-34a and PTX from degradation in the serum, and had an average size of approximately 220nm by photon correlation spectroscopy (PCS). In vitro, the parallel activity of PTX and miR-34a show synergistic anticancer efficacy. In vivo, miSLNs-34a/PTX showed passive targetability to the tumor-bearing lung tissues, and was demonstrated to be much more potent in inhibition of B16F10-bearing tumor growth and elimination of cancer cell populations in the lung than single drug-loaded solid lipid nanoparticles. It has been shown that such co-delivery of miR-34a and PTX is promising for enhanced cancer therapy to reduce tumor relapse.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Turkey 1 <1%
Unknown 125 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Student > Master 17 13%
Researcher 17 13%
Student > Bachelor 7 6%
Student > Doctoral Student 5 4%
Other 16 13%
Unknown 43 34%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 27 21%
Chemistry 11 9%
Biochemistry, Genetics and Molecular Biology 9 7%
Agricultural and Biological Sciences 7 6%
Medicine and Dentistry 7 6%
Other 16 13%
Unknown 50 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 January 2021.
All research outputs
#3,710,488
of 25,374,917 outputs
Outputs from Journal of Controlled Release
#960
of 9,727 outputs
Outputs of similar age
#37,387
of 246,372 outputs
Outputs of similar age from Journal of Controlled Release
#11
of 97 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,727 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 89% 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 246,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.