Evidence map›Paper›PMID 25200008›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2014

Efficient drug delivery and induction of apoptosis in colorectal tumors using a death receptor 5-targeted nanomedicine.

Daniela Schmid, Francois Fay, Donna M Small, Jakub Jaworski, Joel S Riley, Diana Tegazzini, Cathy Fenning, David S Jones, Patrick G Johnston, Daniel B Longley and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  5. Nanomedicine in cancer therapy.Signal transduction and targeted therapy · 2023
    Review
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  12. DR5-targeted, chemotherapeutic drug-loaded nanoparticles induce apoptosis and tumor regression in pancreatic cancer in vivo models.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Article
  13. Critical considerations for targeting colorectal liver metastases with nanotechnology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
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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

11 authors at 1 institution in 2 countries.

Daniela SchmidSchool of Pharmacy, Queen's University Belfast, Belfast, UK; Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
Francois FaySchool of Pharmacy, Queen's University Belfast, Belfast, UK; Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK; Current address: Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Donna M SmallSchool of Pharmacy, Queen's University Belfast, Belfast, UK.
Jakub JaworskiSchool of Pharmacy, Queen's University Belfast, Belfast, UK.
Joel S RileyCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
Diana TegazziniSchool of Pharmacy, Queen's University Belfast, Belfast, UK.
Cathy FenningCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
David S JonesSchool of Pharmacy, Queen's University Belfast, Belfast, UK.
Patrick G JohnstonCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
Daniel B LongleyCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
Christopher J ScottSchool of Pharmacy, Queen's University Belfast, Belfast, UK; Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK. Electronic address: c.scott@qub.ac.uk.
Queen's University Belfast · GB

Funding

Cancer Research UK 13721Medical Research Council G1001805Medical Research Council MC_PC_12021Medical Research Council MC_PC_13075
6 · The paper itself

Abstract

Death Receptor 5 (DR5) is a pro-apoptotic cell-surface receptor that is a potential therapeutic target in cancer. Despite the potency of DR5-targeting agents in preclinical models, the translation of these effects into the clinic remains disappointing. Herein, we report an alternative approach to exploiting DR5 tumor expression using antibody-targeted, chemotherapy-loaded nanoparticles. We describe the development of an optimized polymer-based nanotherapeutic incorporating both a functionalized polyethylene glycol (PEG) layer and targeting antibodies to limit premature phagocytic clearance whilst enabling targeting of DR5-expressing tumor cells. Using the HCT116 colorectal cancer model, we show that following binding to DR5, the nanoparticles activate caspase 8, enhancing the anti-tumor activity of the camptothecin payload both in vitro and in vivo. Importantly, the combination of nanoparticle-induced DR5 clustering with camptothecin delivery overcomes resistance to DR5-induced apoptosis caused by loss of BAX or overexpression of anti-apoptotic FLIP. This novel approach may improve the clinical activity of DR5-targeted therapeutics while increasing tumor-specific delivery of systemically toxic chemotherapeutics.

Indexed as

Adenomatous Polyposis ColiAnimalsAntibodies, MonoclonalAntineoplastic Agents, PhytogenicApoptosisCamptothecinCell Line, TumorFemaleHCT116 CellsHT29 CellsHumansMiceMice, NudeMolecular Targeted TherapyNanomedicineNanoparticlesAntibodies, MonoclonalAntineoplastic Agents, PhytogenicCamptothecinReceptors, TNF-Related Apoptosis-Inducing Ligand

Identifiers

PMID25200008
PMCPMC4429693
OpenAlexW2059857576

What OpenQuestion holds

Textmetadata
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.