Evidence map›Paper›PMID 30034219›Full record

ArticleDrug design, development and therapy2018

Targeted and synergistic therapy for hepatocellular carcinoma: monosaccharide modified lipid nanoparticles for the co-delivery of doxorubicin and sorafenib.

Wendu Duan, Yan Liu

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

28 citing papers in PubMed, 50 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Wendu DuanDepartment of Hepatobiliary Surgery, Affiliated Hospital of Hebei University, Baoding, Hebei Province 071000, People's Republic of China, liuyanhebeiu@sina.com.
Yan LiuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Hebei University, Baoding, Hebei Province 071000, People's Republic of China, liuyanhebeiu@sina.com.
Affiliated Hospital of Hebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTargeted hepatocellular carcinoma therapy was carried out to improve the efficacy of liver cancer treatment. The purpose of this study was to design an N-acetylgalactosamine (NAcGal) modified and pH sensitive doxorubicin (DOX) prodrug (NAcGal-DOX) for the construction of lipid nanoparticles (LNPs).

methodsNAcGal-DOX and sorafenib (SOR) co-loaded LNPs were designed and the synergistic effects were evaluated on human hepatic carcinoma (HepG2) cells in vitro and anti-hepatic carcinoma mice model in vivo.

resultsCellular uptake efficiency of NAcGal modified LNPs was significantly higher than unmodified LNPs. NAcGal modified LNPs showed the most significant inhibition effect among all the samples tested. The results revealed that the LNPs system achieved significant synergistic effects, best tumor inhibition ability and the lowest systemic toxicity.

conclusionThese results proved that the NAcGal conjugated and pH sensitive co-delivery nano-system could be a promising strategy for treatment of hepatocellular carcinoma.

Indexed as

AnimalsAntineoplastic AgentsCarcinoma, HepatocellularCell Line, TumorCell ProliferationDose-Response Relationship, DrugDoxorubicinDrug CarriersDrug Delivery SystemsDrug Screening Assays, AntitumorHep G2 CellsHumansLipidsLiver NeoplasmsLiver Neoplasms, ExperimentalMiceAntineoplastic AgentsDoxorubicinDrug CarriersLipidsMonosaccharidesSorafenibasialoglycoprotein receptorhepatocellular carcinomaN-acetylgalactosaminepH sensitiveprodrug

Identifiers

PMID30034219
PMCPMC6047861
OpenAlexW2812885732

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.