Evidence map›Paper›PMID 24709328›Full record

ArticleNanomedicine : nanotechnology, biology, and medicine2014

Development of a novel orthotopic non-small cell lung cancer model and therapeutic benefit of 2'-(2-bromohexadecanoyl)-docetaxel conjugate nanoparticles.

Lei Peng, Lan Feng, Hong Yuan, S Rahima Benhabbour, Russell J Mumper

Abstract read
In one paragraph

Article in Nanomedicine : nanotechnology, biology, and medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  9. Review
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  11. Rapid microwave-assisted synthesis of sub-30nm lipid nanoparticles.Journal of colloid and interface science · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Evaluation of drug loading, pharmacokinetic behavior, and toxicity of a cisplatin-containing hydrogel nanoparticle.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Article
  16. Article
  17. Article
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.

Lei PengCenter for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lan FengCenter for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hong YuanDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
S Rahima BenhabbourCenter for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Russell J MumperCenter for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: mumper@email.unc.edu.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Translational Nanosystems for Improved Lung Cancer Treatment with Small MoleculesU54CA151652 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESIMONE, JOSEPH M. · 2010 to 2014
$12.1M
EGFR Targeted Nanoparticles to Overcome Paclitaxel Resistant Breast CancerR01CA115197 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MUMPER, RUSSELL J · 2006 to 2009
$995k
Howard Hughes Medical InstituteNCI NIH HHS P30 CA016086NCI NIH HHS P30-CA016086-35NCI NIH HHS P30-CA016086-36NCI NIH HHS P30-CA016086-37NCI NIH HHS R01 CA115197NCI NIH HHS U54 CA151652NCI NIH HHS U54-CA151652-01NCI NIH HHS U54-CA151652-02NCI NIH HHS U54-CA151652-03
6 · The paper itself

Abstract

The aims of these studies were to establish an orthotopic non-small-cell lung cancer (NSCLC) mouse model and to investigate the therapeutic efficacy of lipid-based nanoparticles (NPs) containing 2'-(2-bromohexadecanoyl)-docetaxel (Br-C16-DX) in this new model. A novel orthotopic NSCLC model was established in nude mice through a dorsal side injection of luciferase-expressing A549 cells. The model was characterized by a survival study, histological staining, bioluminescence imaging and PET/CT imaging. The therapeutic efficacy of the Br-C16-DX NPs versus Taxotere® was investigated in this model. The results demonstrated that mouse survival time was significantly prolonged by weekly intravenous administration of the NPs or Taxotere. Furthermore, the NP group had 35 days longer progression-free survival and 27 days longer median survival compared to the Taxotere group. It was concluded that the developed orthotopic NSCLC model represents a feasible, reproducible, and clinically relevant experimental mouse model to test current and potential therapies including nanomedicines. From the clinical editor: This team of authors has developed an orthotopic non-small cell lung cancer model, and demonstrates that it represents a feasible, reproducible, and clinically relevant experimental mouse model to test current and potential therapies including nanomedicines.

Indexed as

NanoparticlesAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorDocetaxelFemaleLung NeoplasmsMiceMice, NudeMultimodal ImagingPositron-Emission TomographyTaxoidsTomography, X-Ray ComputedDocetaxelTaxoidsBioluminescenceDocetaxel conjugateLipid nanoparticlesMicro PET/CTOrthotopic lung cancer model

Identifiers

PMID24709328
PMCPMC4185254

What OpenQuestion holds

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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.