Evidence map›Paper›PMID 33518400›Full record

ReviewTrends in cell biology2021

p53 and Tumor Suppression: It Takes a Network.

Anthony M Boutelle, Laura D Attardi

Open access · bronzeAbstract readReview
In one paragraph

Review in Trends in cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 1 pooled it
21.1field-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

189 citing papers in PubMed, 1 synthesis or guideline pooled it, 307 citations in OpenAlex.

  1. Pooled it
  2. Mutant p53Molecular oncology · 2026
    Article
  3. Review
  4. Determinants of CBiomolecules · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Activating p53Nature communications · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Chromatin accessibility regulates age-dependent nuclear mechanotransduction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Article
  20. Article

129 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.

Anthony M BoutelleDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Laura D AttardiDivision of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: attardi@stanford.edu.
Stanford University · US

Funding

Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Integrative approaches to elucidate p53 transcriptional networks during carcinogenesisR35CA197591 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI · 2015 to 2026
$11.6M
NCI NIH HHS R35 CA197591NCI NIH HHS T32 CA009302
6 · The paper itself

Abstract

The TP53 tumor suppressor is the most frequently mutated gene in human cancer. p53 suppresses tumorigenesis by transcriptionally regulating a network of target genes that play roles in various cellular processes. Though originally characterized as a critical regulator for responses to acute DNA damage (activation of apoptosis and cell cycle arrest), recent studies have highlighted new pathways and transcriptional targets downstream of p53 regulating genomic integrity, metabolism, redox biology, stemness, and non-cell autonomous signaling in tumor suppression. Here, we summarize our current understanding of p53-mediated tumor suppression, situating recent findings from mouse models and unbiased screens in the context of previous studies and arguing for the importance of the pleiotropic effects of the p53 transcriptional network in inhibiting cancer.

Indexed as

NeoplasmsTumor Suppressor Protein p53AnimalsApoptosisCell Cycle CheckpointsDNA DamageHumansMiceTumor Suppressor Protein p53cancermouse modelsnetworkp53transcription factortumor suppression

Identifiers

PMID33518400
PMCPMC7954925
OpenAlexW3128544040

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.