Evidence map›Paper›PMID 16899125›Full record

ArticleMolecular cancer2006

Intra-arterial adenoviral mediated tumor transfection in a novel model of cancer gene therapy.

Gustavo Cabrera, Stacy L Porvasnik, Paul E DiCorleto, Maria Siemionow, Corey K Goldman

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 4 institutions in 2 countries.

Gustavo CabreraGene Therapy Laboratory, National Cancer Institute, Mexico City, Mexico. g.cabrera@yahoo.com
Stacy L Porvasnik
Paul E DiCorleto
Maria Siemionow
Corey K Goldman
Cleveland Clinic · USInstituto Nacional de Cancerología · MXOchsner Medical Center · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to develop and characterize a novel in vivo cancer gene therapy model in which intra-arterial adenoviral gene delivery can be characterized. In this model, the rat cremaster muscle serves as the site for tumor growth and provides convenient and isolated access to the tumor parenchyma with discrete control of arterial and venous access for delivery of agents.

resultsUtilizing adenovirus encoding the green fluorescent protein we demonstrated broad tumor transfection. We also observed a dose dependent increment in luciferase activity at the tumor site using an adenovirus encoding the luciferase reporter gene. Finally, we tested the intra-arterial adenovirus dwelling time required to achieve optimal tumor transfection and observed a minimum time of 30 minutes.

conclusionWe conclude that adenovirus mediated tumor transfection grown in the cremaster muscle of athymic nude rats via an intra-arterial route could be achieved. This model allows definition of the variables that affect intra-arterial tumor transfection. This particular study suggests that allowing a defined intra-tumor dwelling time by controlling the blood flow of the affected organ during vector infusion can optimize intra-arterial adenoviral delivery.

Indexed as

Xenograft Model Antitumor AssaysAdenoviridaeAnimalsCell Line, TumorGenetic TherapyGenetic VectorsGreen Fluorescent ProteinsHumansInjections, Intra-ArterialLuciferasesMaleMicroscopy, ConfocalMuscle, SkeletalNeoplasm TransplantationRatsRats, NudeGreen Fluorescent ProteinsLuciferasesRecombinant Fusion Proteins

Identifiers

PMID16899125
PMCPMC1560393
OpenAlexW2123978904

What OpenQuestion holds

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LicenceCC BY
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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.