Evidence map›Paper›PMID 21276410›Full record

ReviewDiscovery medicine2011

Developing an effective gene therapy for prostate cancer: New technologies with potential to translate from the laboratory into the clinic.

Rupesh Dash, Belal Azab, Xue-Ning Shen, Upneet K Sokhi, Siddik Sarkar, Zhao-zhong Su, Xiang-Yang Wang, Pier Paolo Claudio, Paul Dent, Igor P Dmitriev and 4 more

Abstract readReview
In one paragraph

Review in Discovery medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. MDA-7/IL-24: multifunctional cancer killing cytokine.Advances in experimental medicine and biology · 2014
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Targeting Mcl-1 for the therapy of cancer.Expert opinion on investigational drugs · 2011
    Review
  19. Apogossypol derivative BI-97C1 (Sabutoclax) targeting Mcl-1 sensitizes prostate cancer cells to mda-7/IL-24-mediated toxicity.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  20. Hydrogel-siRNA for cancer therapy.Cancer biology & therapy · 2011
    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

14 authors at 1 institution in 1 country.

Rupesh DashDepartment of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, 23298, USA.
Belal Azab
Xue-Ning Shen
Upneet K Sokhi
Siddik Sarkar
Zhao-zhong Su
Xiang-Yang Wang
Pier Paolo Claudio
Paul Dent
Igor P Dmitriev
David T Curiel
Steven Grant
Devanand Sarkar
Paul B Fisher
Virginia Commonwealth University · US

Funding

Translational Applications of mda-7/IL-24 in CancerP01CA104177 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B · 2005 to 2009
$6.5M
MDA-7: Novel Cancer Therapeutic GeneR01CA097318 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B · 2002 to 2012
$2.8M
Interplay between tumor and microenvironment in bone metastasisR01CA259599 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B, WANG, XIANG-YANG SHAWN · 2021 to 2025
$2.3M
Pancreatic Cancer Management by Novel Gene Therapy & Dietary AgentsR01CA127641 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B · 2009 to 2012
$1.2M
Scavenger Receptor-A and Immune RegulationR01CA129111 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI WANG, XIANG-YANG SHAWN · 2007 to 2011
$1.2M
NCI NIH HHS P01 CA104177NCI NIH HHS R01 CA097318NCI NIH HHS R01 CA127641NCI NIH HHS R01 CA129111NCI NIH HHS R01 CA259599
6 · The paper itself

Abstract

Prostate cancer is the second leading cause of cancer-related deaths in men in the U.S. At present, no single or combination therapy has shown efficacy in decreasing disease progression in patients with metastatic disease. A potentially viable approach for treating late-stage prostate cancer is gene therapy. Adenoviruses (Ad) are the most commonly used mode of gene delivery, but progress using this vector has been hampered by concerns over the safety and practicality of viruses including conditionally replicating Ads (CRAds), particularly for intravenous delivery, and the inefficiency of non-viral transfection techniques. Major challenges for effective gene therapy using Ads are the limited infectivity of regular Ad serotype 5 (Ad5) and the inability to specifically deliver the therapeutic directly into diseased tissue without trapping in the liver or elimination by the immune system. The shortcoming in using Ad5 is mostly attributed to a reduction in Coxsackie-adenovirus receptors (CAR) on the surface of cancer cells, which can be mitigated by generating tropism-modified Ads permitting CAR-independent infection of tumor cells. The limitations of systemic gene delivery can now be overcome by using a novel targeted-delivery approach such as ultrasound (US) contrast agents (microbubbles) to deliver effective therapeutic reagents, Ads, or recombinant proteins, combined with ultrasound-targeted microbubble destruction (UTMD), to develop a site-specific therapy in immune competent transgenic mouse models. These unique strategies for enhancing the efficacy of gene therapy provide a direct path to translation from the laboratory into the clinic for developing an effective gene therapy of prostate cancer.

Indexed as

AdenoviridaeAnimalsGenetic TherapyHumansMaleMicrobubblesProstatic NeoplasmsTranslational Research, Biomedical

Identifiers

PMID21276410
PMCPMC4348040
OpenAlexW111079477

What OpenQuestion holds

Textmetadata
LicenceTDM
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.