Evidence map›Paper›PMID 29195118›Full record

ReviewCurrent opinion in cell biology2018

Deciphering p53 signaling in tumor suppression.

Stephano S Mello, Laura D Attardi

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 1 pooled it
10.6field-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

133 citing papers in PubMed, 1 synthesis or guideline pooled it, 208 citations in OpenAlex.

  1. Pooled it
  2. Review
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  10. Epigenetic downregulation of the proapoptotic geneMolecular medicine reports · 2025
    Article
  11. Review
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  15. NLRC4, inflammation and colorectal cancer (Review).International journal of oncology · 2024
    Review
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  18. Article
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73 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.

Stephano S MelloDivision 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. Electronic address: attardi@stanford.edu.
Stanford University · US

Funding

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 CA197591
6 · The paper itself

Abstract

The p53 transcription factor is mutated in over half of human cancers, and p53-null mice are highly predisposed to cancer, highlighting p53s essential role in tumor suppression. Studies in mouse models have revealed that p53 cell cycle arrest and apoptosis responses to acute DNA damage signals are dispensable for tumor suppression, prompting a search for new mechanisms underlying p53-mediated cancer suppression. p53 responds to other types of stress signals and regulates a host other cellular processes, including maintenance of genomic stability, metabolism, stemness, non-apoptotic cell death, migration/invasion, and cell signaling, any or all of which could be fundamental for suppressing carcinogenesis. The ability of p53 to govern numerous transcriptional programs and cellular functions likely explains its potent tumor suppressor activity.

Indexed as

AnimalsApoptosisDNA DamageHumansMiceSignal TransductionTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID29195118
PMCPMC5949255
OpenAlexW2770097243

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.