Evidence map›Paper›PMID 16787119›Full record

ReviewFuture oncology (London, England)2006

Specific targeting of gene therapy to prostate cancer using a two-step transcriptional amplification system.

Marxa L Figueiredo, Makoto Sato, Mai Johnson, Lily Wu

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2006. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
  4. Titration of variant HSV1-tk gene expression to determine the sensitivity of 18F-FHBG PET imaging in a prostate tumor.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2009
    Article
  5. Article
  6. Article
  7. Concurrent Down-Regulation of PTEN and NKX3.1 Expression in Iranian Patients with Prostate Cancer.International braz j urol : official journal of the Brazilian Society of Urology
    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

4 authors.

Marxa L FigueiredoUniversity of California, Department of Urology, David Geffen School of Medicine at UCLA, 675 Charles Young Drive South, LA, CA 90095-1738, USA. mlfilguei@ucla.edu
Makoto Sato
Mai Johnson
Lily Wu

Funding

UCLA Scholars in Oncologic Molecular lmaging (SOMI)R25CA098010 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PHELPS, MICHAEL E · 2003 to 2013
$5.0M
Gene-Based Imaging and Therapy To Target Prostate CancerR01CA101904 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WU, LILY · 2003 to 2012
$2.9M
NCI NIH HHS R01 CA101904NCI NIH HHS R25 CA098010
6 · The paper itself

Abstract

Significant advances in gene therapy have been made as a result of the improvement of gene delivery systems, discovery of new therapeutic genes, better understanding of mechanisms of disease progression, exploration and improvement of tissue-specific gene regulatory sequences, and development of better prodrug/enzyme systems. This review discusses adenoviral-based and prostate-specific cancer gene therapy--emphasizing tissue-specific promoter choices to increase gene therapy safety and specificity--and the development of prostate-targeted vectors, with a focus on the two-step transactivation system for amplifying gene expression, specifically in prostate cancer cells. Several examples will be discussed for the scientific basis and therapeutic applications. In addition, prostate cancer gene therapy clinical trials and future directions in this field will also be described briefly.

Indexed as

Genetic TherapyAnimalsGene Transfer TechniquesHumansMaleProstatic Neoplasms

Identifiers

PMID16787119
PMCPMC3178412

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.