Evidence map›Paper›PMID 14737070›Full record

ArticleLeukemia2004

Identification of a gene element essential for leukemia-specific expression of transgenes.

N Hosen, M Yanagihara, T Nakazawa, K Kanato, S Nishida, T Shirakata, M Asada, T Masuda, Y Taniguchi, M Kawakami and 7 more

Abstract read
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In one paragraph

Article in Leukemia, 2004. 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
–field-weighted citation impact, top 93% 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, 3 citations in OpenAlex.

  1. Article
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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

17 authors at 1 institution in 1 country.

N HosenDepartment of Molecular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
M Yanagihara
T Nakazawa
K Kanato
S Nishida
T Shirakata
M Asada
T Masuda
Y Taniguchi
M Kawakami
A Tsuboi
K Ikegame
Y Oka
H Ogawa
I Kawase
Y Oji
H Sugiyama
Osaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia-specific promoters and enhancers for gene therapy had never been reported. Since the Wilms' tumor gene WT1 is overexpressed in almost all types of leukemia, WT1 is an ideal target of leukemia-specific therapy. To explore the possibility of gene therapy for leukemia using WT1 promoter and enhancer, their activities in several kinds of cells were analyzed by using the enhanced green fluorescent protein (EGFP) gene as a reporter. First, we identified the best combination (654P/EGFP/int3- enh/3'-enh vector) of the 654-bp WT1 promoter and the two WT1 enhancers located in intron 3 and at the 3' end of the WT1 gene for inducing EGFP expression in K562 cells, which endogenously expressed WT1. When this was transfected into WT1-expressing leukemia cells (K562, HEL), WT1-nonexpressing hematopoietic cells (Daudi, U937), and WT1-expressing nonhematopoietic cells (TYK-nu-CPr, SW480, 293 T), 19.8, 22.9, 1.47, 1.43, 4.50, 4.16, and 1.09 times EGFP expression was induced, respectively, compared to that by the promoter-less EGFP vector. These results showed that the 654P/EGFP/int3-enh/3'-enh vector specifically induced high levels of EGFP expression in WT1-expressing leukemia cells. 654P/int3- enh/3'-enh vector containing transgenes such as suicide genes might become useful tools for leukemia-specific gene therapy.

Indexed as

Gene Expression Regulation, NeoplasticEnhancer Elements, GeneticGenetic TherapyGenetic VectorsGreen Fluorescent ProteinsHumansLuminescent ProteinsNeoplasmsTransduction, GeneticTransgenesTumor Cells, CulturedWT1 ProteinsGreen Fluorescent ProteinsLuminescent ProteinsWT1 Proteins

Identifiers

PMID14737070
OpenAlexW1974248845

What OpenQuestion holds

Textmetadata
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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.