Evidence map›Paper›PMID 14502229›Full record

ArticleCancer gene therapy2003

Regression of prostate cancer xenografts by a lentiviral vector specifically expressing diphtheria toxin A.

Jun-ying Zheng, Danlin Chen, Justin Chan, Duan Yu, Eugene Ko, Shen Pang

Abstract read
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In one paragraph

Article in Cancer gene therapy, 2003. 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
–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

21 citing papers in PubMed.

  1. Review
  2. Viral Vector-Based Gene Therapy.International journal of molecular sciences · 2023
    Review
  3. A Brief Introduction to Current Cancer Gene Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
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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

6 authors.

Jun-ying ZhengDivision of Oral Biology and Medicine and UCLA Dental Institute, UCLA School of Dentistry, 10833 Le Conte Avenue, Los Angeles, California 90095-1668, USA.
Danlin Chen
Justin Chan
Duan Yu
Eugene Ko
Shen Pang

Funding

TARGET SPECIFIC GENE THERAPY OF PROSTATE CANCERR29CA066022 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PANG, SHEN · 1995 to 1999
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NCI NIH HHS CA66022
6 · The paper itself

Abstract

We have constructed a prostate-specific lentiviral vector based on the promoter of the prostate-specific antigen (PSA). The PSA promoter-based lentiviral vector has been used to deliver the diphtheria toxin A (DTA) gene into prostate cancer cells, and has shown promising tissue-specific eradication of prostate cancer cells in cell culture. To evaluate the efficacy of eradicating human prostate cancer cells in vivo, we used human LNCaP prostate xenografts in nude mice as an animal model and found that with a single injection of the DTA lentiviral vector into LNCaP prostate tumors, approximately 75% of the tumors (from three experiments; conducted 9/11, 11/15 and 3/4) in the animals were completely eradicated. The DTA vector has also shown the ability to cause tumor regression in recurrent prostate tumors. Intravenous injection of the DTA lentiviral vector into nude mice elicited no pathogenic effects, suggesting that this prostate tissue-specific vector is safe for eradicating prostate cancer cells in vivo.

Indexed as

Transplantation, HeterologousAnimalsCell Line, TumorDiphtheria ToxinDisease ProgressionGene ExpressionGenetic TherapyGenetic VectorsKidneyLentivirusMaleMiceMice, NudeNeoplasm TransplantationProstatic NeoplasmsDiphtheria Toxin

Identifiers

PMID14502229

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.