Evidence map›Paper›PMID 17401429›Full record

ReviewOncogene2007

Transcription regulation by mutant p53.

L Weisz, M Oren, V Rotter

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

107 citing papers in PubMed, 201 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Gain-of-Function p53N236S Mutation Drives the Bypassing of HRasInternational journal of molecular sciences · 2023
    Article
  12. Review
  13. Article
  14. Molecular Mechanisms of Cutaneous Squamous Cell Carcinoma.International journal of molecular sciences · 2022
    Review
  15. Review
  16. TargetingOncoTargets and therapy · 2022
    Review
  17. p53 signaling in cancer progression and therapy.Cancer cell international · 2021
    Review
  18. Article
  19. Review
  20. International journal of molecular sciences · 2021
    Review

47 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 at 1 institution in 1 country.

L WeiszDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
M Oren
V Rotter
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to the loss of wild-type p53 activity, a high percentage of tumor cells accumulate mutant p53 protein isoforms. Whereas the hallmark of the wild-type p53 is its tumor suppressor activities, tumor-associated mutant p53 proteins acquire novel functions enabling them to promote a large spectrum of cancer phenotypes. During the last years, it became clear that tumor-associated mutant p53 proteins are not only distinct from the wild-type p53, but they also represent a heterogeneous population of proteins with a variety of structure-function features. One of the major mechanisms underlying mutant p53 gain of function is the ability to regulate gene expression. Although a large number of specific target genes were identified, the molecular basis for this regulation is not fully elucidated. This review describes the present knowledge about the transcriptional activities of mutant p53 and the mechanisms that might underlie its target gene specificity.

Indexed as

Gene Expression Regulation, NeoplasticOncogenesHumansMutationNeoplasmsTranscription, GeneticTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID17401429
OpenAlexW2094957670

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.