Evidence map›Paper›PMID 23842448›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2013

Amalgamating oncolytic viruses to enhance their safety, consolidate their killing mechanisms, and accelerate their spread.

Camilo Ayala-Breton, Lukkana Suksanpaisan, Emily K Mader, Stephen J Russell, Kah-Whye Peng

Open access · bronzeAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Exosomes in Cancer: Diagnostic and Therapeutic Applications.Clinical Medicine Insights. Oncology · 2024
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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 at 1 institution in 1 country.

Camilo Ayala-BretonDepartment of Molecular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Lukkana Suksanpaisan
Emily K Mader
Stephen J Russell
Kah-Whye Peng
Mayo Clinic · US

Funding

Antibody Neutralization of Therapeutic VirusesR01CA129966 · NCI · MAYO CLINIC ROCHESTER · PI RUSSELL, STEPHEN J · 2008 to 2012
$2.5M
Enhancing localization of therapeutic viruses and cells to tumor sitesR01CA129193 · NCI · MAYO CLINIC ROCHESTER · PI PENG, KAH-WHYE · 2009 to 2014
$1.8M
NCI NIH HHS CA129193NCI NIH HHS CA129966NCI NIH HHS R01 CA129193NCI NIH HHS R01 CA129966
6 · The paper itself

Abstract

Oncolytic viruses are structurally and biologically diverse, spreading through tumors and killing them by various mechanisms and with different kinetics. Here, we created a hybrid vesicular stomatitis/measles virus (VSV/MV) that harnesses the safety of oncolytic MV, the speed of VSV, and the tumor killing mechanisms of both viruses. Oncolytic MV targets CD46 and kills by forcing infected cells to fuse with uninfected neighbors, but propagates slowly. VSV spreads rapidly, directly lysing tumor cells, but is neurotoxic and loses oncolytic potency when neuroattenuated by conventional approaches. The hybrid VSV/MV lacks neurotoxicity, replicates rapidly with VSV kinetics, and selectively targets CD46 on tumor cells. Its in vivo performance in a myeloma xenograft model was substantially superior to either MV or widely used recombinant oncolytic VSV-M51.

Indexed as

Genetic EngineeringOncolytic VirotherapyAnimalsBrainCell Line, TumorChlorocebus aethiopsCHO CellsCricetulusDisease Models, AnimalHumansMeasles virusMembrane Cofactor ProteinMiceMice, SCIDMice, TransgenicMultiple MyelomaMembrane Cofactor Protein

Identifiers

PMID23842448
PMCPMC3808140
OpenAlexW2035973356

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.