Evidence map›Paper›PMID 17401431›Full record

ReviewOncogene2007

Are interactions with p63 and p73 involved in mutant p53 gain of oncogenic function?

Y Li, C Prives

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 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

105 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.

  1. Targeting p53 pathways: mechanisms, structures, and advances in therapy.Signal transduction and targeted therapy · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. TP53: the unluckiest of genes?Cell death and differentiation · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Mechanisms of Functional Pleiotropy of p73 in Cancer and Beyond.Frontiers in cell and developmental biology · 2021
    Review
  20. Review

45 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

2 authors at 1 institution in 1 country.

Y LiDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA.
C Prives
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although still controversial, the presence of mutant p53 in cancer cells may result in more aggressive tumors and correspondingly worse outcomes. The means by which mutant p53 exerts such pro-oncogenic activity are currently under extensive investigation and different models have been proposed. We focus here on a proposed mechanism by which a subset of tumor-derived p53 mutants physically interact with p53 family members, p63 and p73, and negatively regulate their proapoptotic function. Both cell-based assays and knock-in mice expressing mutant forms of p53 support this model. As more than half of human tumors harbor mutant forms of p53 protein, approaches aimed at disrupting the pathological interactions among p53 family members might be of clinical value.

Indexed as

OncogenesAnimalsApoptosisDNA-Binding ProteinsHumansMiceMice, TransgenicNeoplasmsNuclear ProteinsTrans-ActivatorsTranscription FactorsTumor Protein p73Tumor Suppressor Protein p53Tumor Suppressor ProteinsDNA-Binding ProteinsNuclear ProteinsTP63 protein, humanTP73 protein, humanTrans-ActivatorsTranscription FactorsTrp73 protein, mouseTumor Protein p73Tumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID17401431
OpenAlexW2054188457

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.