Evidence map›Paper›PMID 22886625›Full record

ArticlePharmaceutical research2012

Hyaluronic acid derivative-based self-assembled nanoparticles for the treatment of melanoma.

Yu-Jin Jin, Ubonvan Termsarasab, Seung-Hak Ko, Jae-Seong Shim, Saeho Chong, Suk-Jae Chung, Chang-Koo Shim, Hyun-Jong Cho, Dae-Duk Kim

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Article in Pharmaceutical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  12. Nanoparticles and nanofibers for topical drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2016
    Review
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yu-Jin JinCollege of Pharmacy Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 151-742, Republic of Korea.
Ubonvan Termsarasab
Seung-Hak Ko
Jae-Seong Shim
Saeho Chong
Suk-Jae Chung
Chang-Koo Shim
Hyun-Jong Cho
Dae-Duk Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHyaluronic acid-ceramide (HACE)-based nanoparticles (NPs) were developed for the targeted delivery of doxorubicin (DOX), and their antitumor efficacy for melanoma was evaluated.

methodsDOX-loaded HACE-based self-assembled NPs were prepared and their physicochemical properties were characterized. The in vitro cytotoxicity of HACE was measured using an MTS-based assay. The cellular uptake efficiency of DOX into mouse melanoma B16F10 cells was assessed by confocal laser scanning microscopy and flow cytometry. Tumor growth and body weight were monitored after the intratumoral and intravenous injection of DOX-loaded NPs into a B16F10 tumor-bearing mouse model.

resultsDOX-loaded NPs, with a mean diameter of ~110 nm, a narrow size distribution, and high drug entrapment efficiency, were prepared. A sustained DOX release pattern was shown, and drug release was enhanced at pH 5.5 compared with pH 7.4. The cytotoxicity of HACE to B16F10 cells was negligible. It was assumed that DOX was taken up into the B16F10 cells through receptor-mediated endocytosis. A significant inhibitory effect was observed on tumor growth, without any serious changes in body weight, after the injection of DOX-loaded NPs into the B16F10 tumor-bearing mouse model.

conclusionsDOX-loaded HACE-based NPs were successfully developed and their antitumor efficacy against B16F10 tumors was demonstrated.

Indexed as

Drug Delivery SystemsAnimalsAntibiotics, AntineoplasticCell Line, TumorCeramidesDoxorubicinFemaleHyaluronic AcidMelanomaMiceMice, Inbred C57BLNanoparticlesAntibiotics, AntineoplasticCeramidesDoxorubicinHyaluronic Acid

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.