Evidence map›Paper›PMID 22154076›Full record

ReviewTrends in cell biology2012

Deconstructing p53 transcriptional networks in tumor suppression.

Kathryn T Bieging, Laura D Attardi

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 1% 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 191 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Pivotal Role of LACTB in the Process of Cancer Development.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. eLife · 2024
    Article
  12. ECRG2/SPINK7 Tumor Suppressor as Modulator of DNA Damage Response.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Context-Dependent Function of Long Noncoding RNAMolecular and cellular biology · 2022
    Article
  19. Anticancer Therapeutic Strategies Targeting p53 Aggregation.International journal of molecular sciences · 2022
    Review
  20. Article

48 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.

Kathryn T BiegingDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Laura D Attardi
Stanford University · US

Funding

TUMOR BIOLOGYT32CA009151 · NCI · STANFORD UNIVERSITY · PI CLEARY, MICHAEL L · 1985 to 2014
$5.5M
Mouse Models to Dissect p53 Tumor Suppressor FunctionR01CA140875 · NCI · STANFORD UNIVERSITY · PI ATTARDI, LAURA D · 2011 to 2015
$1.7M
NCI NIH HHS R01 CA140875NCI NIH HHS T32 CA009151
6 · The paper itself

Abstract

p53 is a pivotal tumor suppressor that induces apoptosis, cell-cycle arrest and senescence in response to stress signals. Although p53 transcriptional activation is important for these responses, the mechanisms underlying tumor suppression have been elusive. To date, no single or compound mouse knockout of specific p53 target genes has recapitulated the dramatic tumor predisposition that characterizes p53-null mice. Recently, however, analysis of knock-in mice expressing p53 transactivation domain mutants has revealed a group of primarily novel direct p53 target genes that may mediate tumor suppression in vivo. We present here an overview of well-known p53 target genes and the tumor phenotypes of the cognate knockout mice, and address the recent identification of new p53 transcriptional targets and how they enhance our understanding of p53 transcriptional networks central for tumor suppression.

Indexed as

Gene Regulatory NetworksAnimalsApoptosisHumansNeoplasmsTranscriptional ActivationTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID22154076
PMCPMC3541866
OpenAlexW2017379014

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.