Evidence map›Paper›PMID 26330329›Full record

ArticleCancer chemotherapy and pharmacology2015

PLGA nanoparticle formulation of RK-33: an RNA helicase inhibitor against DDX3.

Guus Martinus Bol, Raheela Khan, Marise Rosa Heerma van Voss, Saritha Tantravedi, Dorian Korz, Yoshinori Kato, Venu Raman

Open access · greenAbstract read
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2015. 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
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. RNA Helicases as Shadow Modulators of Cell Cycle Progression.International journal of molecular sciences · 2021
    Review
  5. Review
  6. Targeting RNA helicases in cancer: The translation trap.Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
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

7 authors at 2 institutions in 3 countries.

Guus Martinus BolDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA.
Raheela KhanDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA.
Marise Rosa Heerma van VossDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA.
Saritha TantravediDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA.
Dorian KorzDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA.
Yoshinori KatoDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA. ykato@mri.jhu.edu.
Venu RamanDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins University School of Medicine, 720 Rutland Ave, Traylor 340, Baltimore, MD, 21205, USA. vraman2@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

backgroundThe DDX3 helicase inhibitor RK-33 is a newly developed anticancer agent that showed promising results in preclinical research (Bol et al. EMBO Mol Med, 7(5):648-649, 2015). However, due to the physicochemical and pharmacological characteristics of RK-33, we initiated development of alternative formulations of RK-33 by preparing sustained release nanoparticles that can be administered intravenously.

methodsIn this study, RK-33 was encapsulated in poly(lactic-co-glycolic acid) (PLGA), one of the most well-developed biodegradable polymers, using the emulsion solvent evaporation method.

resultsHydrodynamic diameter of RK-33-PLGA nanoparticles was about 245 nm with a negative charge, and RK-33-PLGA nanoparticles had a payload of 1.4 % RK-33. RK-33 was released from the PLGA nanoparticles over 7 days (90 ± 5.7 % released by day 7) and exhibited cytotoxicity to human breast carcinoma MCF-7 cells in a time-dependent manner. Moreover, RK-33-PLGA nanoparticles were well tolerated, and systemic retention of RK-33 was markedly improved in normal mice.

conclusionsPLGA nanoparticles have a potential as a parenteral formulation of RK-33.

Indexed as

AnimalsAntineoplastic AgentsAzepinesBreast NeoplasmsCarcinomaCell SurvivalDelayed-Action PreparationsDrug CarriersDrug CompoundingDrugs, InvestigationalEnzyme InhibitorsFemaleHalf-LifeHumansImidazolesInjections, Intravenous3,7-dihydro-3,7-bis((4-methoxyphenyl)methyl)-2H-diimidazo(4,5-d:4',5'-f)(1,3)diazepin-2-oneAntineoplastic AgentsAzepinesDelayed-Action PreparationsDrug CarriersDrugs, InvestigationalEnzyme InhibitorsImidazolesLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerRNA HelicasesDDX3Drug releaseNanoparticlesPLGARK-33

Identifiers

PMID26330329
PMCPMC4878412
OpenAlexW1583004366

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.