Evidence map›Paper›PMID 20463003›Full record

ReviewCold Spring Harbor perspectives in biology2010

p53-based cancer therapy.

David P Lane, Chit Fang Cheok, Sonia Lain

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 1 pooled it
–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

125 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  6. Review
  7. Review
  8. p53 stabilisation potentiates [European journal of nuclear medicine and molecular imaging · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Article
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  18. Review
  19. Review
  20. Review

65 more citing papers are in PubMed but not listed here.

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.

David P Lanep53 Laboratory (A-Star) 8A Biomedical Grove Immunos Singapore 138648. dplane@p53lab.a-star.edu.sg
Chit Fang Cheok
Sonia Lain

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inactivation of p53 functions is an almost universal feature of human cancer cells. This has spurred a tremendous effort to develop p53 based cancer therapies. Gene therapy using wild-type p53, delivered by adenovirus vectors, is now in widespread use in China. Other biologic approaches include the development of oncolytic viruses designed to replicate and kill only p53 defective cells and also the development of siRNA and antisense RNA's that activate p53 by inhibiting the function of the negative regulators Mdm2, MdmX, and HPV E6. The altered processing of p53 that occurs in tumor cells can elicit T-cell and B-cell responses to p53 that could be effective in eliminating cancer cells and p53 based vaccines are now in clinical trial. A number of small molecules that directly or indirectly activate the p53 response have also reached the clinic, of which the most advanced are the p53 mdm2 interaction inhibitors. Increased understanding of the p53 response is also allowing the development of powerful drug combinations that may increase the selectivity and safety of chemotherapy, by selective protection of normal cells and tissues.

Indexed as

AnimalsCancer VaccinesGenetic TherapyHumansMolecular Targeted TherapyNeoplasmsProto-Oncogene Proteins c-mdm2RNA, Small InterferingTumor Suppressor Protein p53Cancer VaccinesMDM2 protein, humanProto-Oncogene Proteins c-mdm2RNA, Small InterferingTumor Suppressor Protein p53

Identifiers

PMID20463003
PMCPMC2926755

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.