Evidence map›Paper›PMID 16037822›Full record

ArticleCancer gene therapy2006

Targeting proliferating tumor cells via the transcriptional control of therapeutic genes.

I A W Ho, K M Hui, P Y P Lam

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

I A W HoGene Vector Laboratory, Division of Cellular and Molecular Research, National Cancer Centre, Singapore.
K M Hui
P Y P Lam
National Cancer Centre Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously reported the construction of a cell cycle-regulated HSV-1 amplicon vector (denoted as pC8-36) that confers luciferase reporter gene activities dependent on cellular divisions. However, luciferase reporter gene is well known for its relatively high sensitivity, thus, it is crucial to evaluate the therapeutic efficacy of a transcriptional targeted vector. In this report, we have engineered the FasL and FADD genes into pC8-36 and demonstrated their efficacy for the treatment of human gliomas in vitro and in vivo. Using trypan blue dye exclusion and TUNEL assay, FasL expression mediated by pC8-36 was shown to induce a significantly higher percentage of cell death in proliferating cells than those observed in the G(1)-arrested cells. The observed cell killing effect correlated well with the level of FasL protein expression when analyzed by ELISA assay. Furthermore, the incorporation of both FasL and FADD into pC8-36 resulted in the enhancement of apoptosis in the target glioma cells both in vitro and in vivo. Targeting proliferating tumor cells via the transcriptional control of therapeutic genes could potentially improve the safety and efficacy of cancer gene therapy, and thus would allow the development of strategies for more effective anticancer therapies.

Indexed as

Genetic VectorsTranscription, GeneticAdaptor Proteins, Signal TransducingAnimalsApoptosisCell CycleCell DeathCell ProliferationChlorocebus aethiopsFas-Associated Death Domain ProteinFas Ligand ProteinGenes, ViralGene Transfer TechniquesGliomaHerpesvirus 1, HumanHumansAdaptor Proteins, Signal TransducingFADD protein, humanFadd protein, mouseFas-Associated Death Domain ProteinFASLG protein, humanFas Ligand ProteinFasl protein, mouseMembrane GlycoproteinsTumor Necrosis Factors

Identifiers

PMID16037822
OpenAlexW2085839077

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.