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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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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.

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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%