Evidence map›Paper›PMID 21720419›Full record

ArticleCancer gene therapy2011

Application of mRNA regulatory regions to improve tumor specificity of transgene expression.

M V Shepelev, E V Korobko, G P Georgiev, E D Sverdlov, I V Korobko

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2011. 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
0.1field-weighted citation impact, top 48% 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, 9 citations in OpenAlex.

  1. Step-by-Step Immune Activation for Suicide Gene Therapy Reinforcement.International journal of molecular sciences · 2021
    Review
  2. Article
  3. 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 2 institutions in 1 country.

M V ShepelevDepartment of Cancer Gene Therapy, Institute of Gene Biology, Russian Academy of Sciences, Moscow.
E V Korobko
G P Georgiev
E D Sverdlov
I V Korobko
Institute of Gene Biology · RUInstitute of Molecular Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficiency and specificity are two key attributes of anti-cancer drugs including genetic therapeutic agents. We suggest a way to improve specificity of gene therapy drugs based on the ability of 3'-untranslated regions (UTR) of some mRNAs selectively stabilize transcripts only during cell division. The mRNAs of genes encoding DNA methyltransferase I (DNMT1) and topoisomerase IIα (TOP2A) are among such transcripts. When inserted into genetic constructs designed to produce therapeutic protein in tumor cells, such 3'-UTR would lead to diminished effect of therapeutic protein on normal cells, which are characterized by low or absent proliferative activity. However, when included in gene expression cassette, these 3'-UTR might result in decreased transgene expression, thus, overweighting the advantage of increased specificity of expression. We showed that DNMT1 and to the lesser extent TOP2A 3'-UTR do not alter significantly therapeutic transgene expression level in tumor cells, thus, confirming the functionality of the proposed approach.

Indexed as

3' Untranslated RegionsAntigens, NeoplasmCells, CulturedDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Topoisomerases, Type IIGenetic TherapyHumansNeoplasmsPoly-ADP-Ribose Binding ProteinsRNA, MessengerTransgenesTumor Cells, Cultured3' Untranslated RegionsAntigens, NeoplasmDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Topoisomerases, Type IIDNMT1 protein, humanPoly-ADP-Ribose Binding ProteinsRNA, MessengerTOP2A protein, human

Identifiers

PMID21720419
OpenAlexW2019577673

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.