Evidence map›Paper›PMID 20108058›Full record

ArticleMolecular biotechnology2010

Development of chimeric gene regulators for cancer-specific gene therapy with both transcriptional and translational targeting.

Yu Xiang Fang, Xiao Bo Zhang, Wei Wei, Yi Wen Liu, Jin Zhong Chen, Jing Lun Xue, Ling Tian

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yu Xiang FangState Key Laboratory of Genetic Engineering and Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.
Xiao Bo Zhang
Wei Wei
Yi Wen Liu
Jin Zhong Chen
Jing Lun Xue
Ling Tian
Fudan University · CNState Key Laboratory of Genetic Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer gene therapy has been of great challenge in achieving maximal high levels of specificity and more rational efficiency in target cancer cell. We herein developed a novel approach for cancer-specific gene therapy using both transcriptional and translational targeting regulation. We integrated the tumor-specific gene promoter of hTERT, the 5'UTR of bFGF-2, the enhancer of woodchuck hepatitis virus post-transcriptional regulatory element (WRE), and/or the 3'UTR of the human EGFR into two major chimeric gene regulators. We found that chimeric gene regulator I (hTERT_5'UTR...WRE_BGHpolyA) enhanced the specificity of expression in hepatocellular carcinoma (HCC) cells up to 300% in total due to increases at both the transcriptional and translational levels but only 120-200% enhancement at the transcriptional level and 120-180% enhancement at the translational level. In addition, chimeric gene regulator II (hTERT_5'UTR...WRE_3'UTR_BGHpolyA) improved the specificity to 550% and also highly strengthened the stability of the mRNA. In vitro cytotoxicity assays demonstrated that HCC cell growth was inhibited by HSV-1 TK expression under the control of both chimeric regulators, with a relative cell viability of approximately 80% for 2 days and approximately 85% for 4 days after transfection, respectively. These observations represent a new approach for highly tumor-specific gene expression and also provide insights into application to cancer gene therapy.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, HepatocellularCell Line, TumorGene TargetingGenetic TherapyHumansProtein BiosynthesisTranscription FactorsTranscription Factors

Identifiers

PMID20108058
OpenAlexW1994138031

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.