Evidence map›Paper›PMID 20087631›Full record

ArticlePharmaceutical research2010

New core-shell nanoparticules for the intravenous delivery of siRNA to experimental thyroid papillary carcinoma.

Henri de Martimprey, Jean-Rémi Bertrand, Claude Malvy, Patrick Couvreur, Christine Vauthier

Abstract read
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Article in Pharmaceutical research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. The landscape of nanoparticle-based siRNA delivery and therapeutic development.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Henri de MartimpreyUniversité de Paris-Sud-11, UMR CNRS 8612, 5 rue J.B. Clément, 92296, Châtenay-Malabry, France.
Jean-Rémi Bertrand
Claude Malvy
Patrick Couvreur
Christine Vauthier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDevelopment of efficient in vivo delivery nanodevices remains a major challenge to achieve clinical application of siRNA. The present study refers to the conception of core-shell nanoparticles aiming to make possible intravenous administration of chemically unmodified siRNA oriented towards the junction oncogene of the papillary thyroid carcinoma.

methodsNanoparticles were prepared by redox radical emulsion polymerization of isobutylcyanoacrylate and isohexylcyanoacrylate with chitosan. The loading of the nanoparticles with siRNA was achieved by adsorption. The biological activity of the siRNA-loaded nanoparticles was assessed on mice bearing a papillary thyroid carcinoma after intratumoral and intravenous administration.

resultsChitosan-coated nanoparticles with a diameter of 60 nm were obtained by adding 3% pluronic in the preparation medium. siRNA were associated with the nanoparticles by surface adsorption. In vivo, the antisense siRNA associated with the nanoparticles lead to a strong antitumoral activity. The tumor growth was almost stopped after intravenous injection of the antisense siRNA-loaded nanoparticles, while in all control experiments, the tumor size was increased by at least 10 times.

conclusionThis work showed that poly(alkylcyanoacrylate) nanoparticles coated with chitosan are suitable carriers to achieve in vivo delivery of active siRNA to tumor including after systemic administration.

Indexed as

AnimalsCarcinoma, PapillaryCell Line, TumorCell SurvivalChitosanHumansMiceMice, NudeNanoparticlesParticle SizeRNA, Small InterferingThyroid NeoplasmsChitosanRNA, Small Interfering

Identifiers

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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.