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Selection of potential iron oxide nanoparticles for breast cancer treatment based on in vitro cytotoxicity and cellular uptake

Overview of attention for article published in International Journal of Nanomedicine, April 2017
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Title
Selection of potential iron oxide nanoparticles for breast cancer treatment based on in vitro cytotoxicity and cellular uptake
Published in
International Journal of Nanomedicine, April 2017
DOI 10.2147/ijn.s132369
Pubmed ID
Authors

Johanna Poller, Jan Zaloga, Eveline Schreiber, Harald Unterweger, Christina Janko, Patricia Radon, Dietmar Eberbeck, Lutz Trahms, Christoph Alexiou, Ralf Friedrich

Abstract

Superparamagnetic iron oxide nanoparticles (SPIONs) are promising tools for the treatment of different diseases. Their magnetic properties enable therapies involving magnetic drug targeting (MDT), hyperthermia or imaging. Depending on the intended treatment, specific characteristics of SPIONs are required. While particles used for imaging should circulate for extended periods of time in the vascular system, SPIONs intended for MDT or hyperthermia should be accumulated in the target area to come into close proximity of, or to be incorporated into, specific tumor cells. In this study, we determined the impact of several accurately characterized SPION types varying in size, zeta potential and surface coating on various human breast cancer cell lines and endothelial cells to identify the most suitable particle for future breast cancer therapy. We analyzed cellular SPION uptake, magnetic properties, cell proliferation and toxicity using atomic emission spectroscopy, magnetic susceptometry, flow cytometry and microscopy. The results demonstrated that treatment with dextran-coated SPIONs (SPION(Dex)) and lauric acid-coated SPIONs (SPION(LA)) with an additional protein corona formed by human serum albumin (SPION(LA-HSA)) resulted in very moderate particle uptake and low cytotoxicity, whereas SPION(LA) had in part much stronger effects on cellular uptake and cellular toxicity. In summary, our data show significant dose-dependent and particle type-related response differences between various breast cancer and endothelial cells, indicating the utility of these particle types for distinct medical applications.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Student > Ph. D. Student 11 14%
Researcher 10 13%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Other 8 10%
Unknown 22 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 13%
Chemistry 7 9%
Engineering 7 9%
Medicine and Dentistry 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Other 16 21%
Unknown 26 34%

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 02 May 2017.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from International Journal of Nanomedicine
#3,347
of 3,837 outputs
Outputs of similar age
#269,910
of 309,601 outputs
Outputs of similar age from International Journal of Nanomedicine
#75
of 98 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,837 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 309,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.