Evidence map›Paper›PMID 23386914›Full record

ArticleInternational journal of clinical and experimental medicine2013

Development of targeted therapy for a broad spectrum of solid tumors mediated by a double promoter plasmid expressing diphtheria toxin under the control of IGF2-P4 and IGF2-P3 regulatory sequences.

Doron Amit, Sagi Tamir, Abraham Hochberg

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Natural Cyclopeptides as Anticancer Agents in the Last 20 Years.International journal of molecular sciences · 2021
    Review
  2. Long noncoding RNA H19 - a new player in the pathogenesis of liver diseases.Translational research : the journal of laboratory and clinical medicine · 2021
    Review
  3. Review
  4. Article
  5. LncRNAs: From Basic Research to Medical Application.International journal of biological sciences · 2017
    Review
  6. 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.

Doron AmitDepartment of Biological Chemistry, Hebrew University of Jerusalem Jerusalem Israel.
Sagi Tamir
Abraham Hochberg
Hebrew University of Jerusalem · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human IGF2-P4 and IGF2-P3 promoters are highly active in a variety of human cancers, while existing at a nearly undetectable level in the surrounding normal tissue. Thus, a double promoter DTA-expressing vector was created, carrying on a single construct two separate genes expressing the diphtheria toxin a-fragment (DTA), from two different regulatory sequences, selected from the cancer-specific promoters IGF2-P4 and IGF2-P3.

methodsThe therapeutic potential of the double promoter toxin vector P4-DTA-P3-DTA was tested in different cancer cells (pancreatic cancer, ovarian cancer and HCC).

resultsThe double promoter vector P4-DTA-P3-DTA exhibited superior inhibition activity in different cancer cell lines, compared to the single promoter expression vectors activity.

conclusionsOur findings suggest that administration of P4-DTA-P3-DTA has the potential to reach and eradicate tumor cells and thus may help reduce tumor burden, improve the quality of life of the patients; and prolong their life span.

Indexed as

glioblastomaHCCIGF2ovarian cancerpancreatic cancertargeted cancer therapy

Identifiers

PMID23386914
PMCPMC3560493
OpenAlexW135338193

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.