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Targeting Anticancer Drug Delivery to Pancreatic Cancer Cells Using a Fucose-Bound Nanoparticle Approach

Overview of attention for article published in PLOS ONE, July 2012
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user
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2 patents
facebook
1 Facebook page

Citations

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50 Dimensions

Readers on

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105 Mendeley
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Title
Targeting Anticancer Drug Delivery to Pancreatic Cancer Cells Using a Fucose-Bound Nanoparticle Approach
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0039545
Pubmed ID
Authors

Makoto Yoshida, Rishu Takimoto, Kazuyuki Murase, Yasushi Sato, Masahiro Hirakawa, Fumito Tamura, Tsutomu Sato, Satoshi Iyama, Takahiro Osuga, Koji Miyanishi, Kohichi Takada, Tsuyoshi Hayashi, Masayoshi Kobune, Junji Kato

Abstract

Owing to its aggressiveness and the lack of effective therapies, pancreatic ductal adenocarcinoma has a dismal prognosis. New strategies to improve treatment and survival are therefore urgently required. Numerous fucosylated antigens in sera serve as tumor markers for cancer detection and evaluation of treatment efficacy. Increased expression of fucosyltransferases has also been reported for pancreatic cancer. These enzymes accelerate malignant transformation through fucosylation of sialylated precursors, suggesting a crucial requirement for fucose by pancreatic cancer cells. With this in mind, we developed fucose-bound nanoparticles as vehicles for delivery of anticancer drugs specifically to cancer cells. L-fucose-bound liposomes containing Cy5.5 or Cisplatin were effectively delivered into CA19-9 expressing pancreatic cancer cells. Excess L-fucose decreased the efficiency of Cy5.5 introduction by L-fucose-bound liposomes, suggesting L-fucose-receptor-mediated delivery. Intravenously injected L-fucose-bound liposomes carrying Cisplatin were successfully delivered to pancreatic cancer cells, mediating efficient tumor growth inhibition as well as prolonging survival in mouse xenograft models. This modality represents a new strategy for pancreatic cancer cell-targeting therapy.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 2 2%
United Kingdom 1 <1%
China 1 <1%
India 1 <1%
Unknown 100 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 22 21%
Student > Master 11 10%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 18 17%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 19%
Chemistry 17 16%
Medicine and Dentistry 14 13%
Pharmacology, Toxicology and Pharmaceutical Science 12 11%
Biochemistry, Genetics and Molecular Biology 8 8%
Other 11 10%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 September 2017.
All research outputs
#4,077,711
of 22,671,366 outputs
Outputs from PLOS ONE
#57,696
of 193,517 outputs
Outputs of similar age
#28,226
of 164,330 outputs
Outputs of similar age from PLOS ONE
#854
of 3,945 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 69% 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 164,330 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 82% of its contemporaries.
We're also able to compare this research output to 3,945 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.