Evidence map›Paper›PMID 15905860›Full record

ArticleCancer gene therapy2005

A novel gene transfer strategy that combines promoter and transgene activities for improved tumor cell inhibition.

Bryan E Strauss, Marcio C Bajgelman, Eugenia Costanzi-Strauss

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2005. 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
0.9field-weighted citation impact, top 25% 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, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

3 authors at 2 institutions in 2 countries.

Bryan E StraussHeart Institute, InCor, University of São Paulo School of Medicine, Av. De Eneas de Carvalho Aguiar 44, Building II 10th Floor, São Paulo (SP), CEP 05403-000 Brazil. bstrauss@usp.br
Marcio C Bajgelman
Eugenia Costanzi-Strauss
Universidade de São Paulo · BRBiotech (Brazil) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Typically, gene transfer strategies utilize a promoter/transgene arrangement that treat these elements independently and do not offer any interplay between them. Our goal was to establish a promoter/transgene combination that would result in improvement in both expression and therapeutic effect by utilizing the transcriptional properties of p53 to drive its own expression as well as act as a tumor suppressor. The pCL retroviral system was modified in the U3 region of the 3' LTR by the addition of a p53-responsive sequence (the PG element), creating the pCLPG system. Upon reverse transcription, the 5' LTR is converted, as shown here, to a p53-dependent promoter. We also show, using a temperature-sensitive model, that the pCLPG system could be driven by p53 encoded within the virus construct and expression was modulated depending on the p53 phenotype, demonstrating a regulatory feedback loop. Moreover, the pCLPG system was shown to express the transgene at a higher level and to inhibit tumor cell proliferation more robustly than the original pCL system. This novel system employs the transgene to serve two purposes, drive viral expression and inhibit tumor cell proliferation. The pCLPG vectors represent a new gene transfer strategy of synergizing the promoter and transgene activities.

Indexed as

Gene Transfer TechniquesCell LineCell ProliferationHumansNeoplasmsPlasmidsPromoter Regions, GeneticRetroviridaeTemperatureTransgenesTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID15905860
OpenAlexW1968334071

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.