Evidence map›Paper›PMID 18955976›Full record

ReviewOncogene2008

The p53 family and programmed cell death.

E C Pietsch, S M Sykes, S B McMahon, M E Murphy

Open access · greenAbstract readReview
In one paragraph

Review in Oncogene, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
14.7field-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

135 citing papers in PubMed, 312 citations in OpenAlex.

  1. Trial
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  11. p53 and Myofibroblast Apoptosis in Organ Fibrosis.International journal of molecular sciences · 2023
    Review
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75 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

4 authors at 3 institutions in 1 country.

E C PietschDivision of Medical Sciences, Fox Chase Cancer Center, Philadelphia, PA 19107, USA.
S M Sykes
S B McMahon
M E Murphy
Brigham and Women's Hospital · USFox Chase Cancer Center · USSidney Kimmel Cancer Center · US

Funding

Functional Analysis of p53 Polymorphic Variants - Diversity SupplementR01CA102184 · NCI · WISTAR INSTITUTE · PI Maureen E. Murphy · 2005 to 2026
$7.4M
TRANSCRIPTIONAL REPRESSION AND P53 DEPENDENT APOPTOSISR01CA080854 · NCI · FOX CHASE CANCER CENTER · PI MURPHY, MAUREEN E. · 1999 to 2008
$2.5M
NCI NIH HHS R01 CA080854NCI NIH HHS R01 CA102184
6 · The paper itself

Abstract

The p53 tumor suppressor continues to hold distinction as the most frequently mutated gene in human cancer. The ability of p53 to induce programmed cell death, or apoptosis, of cells exposed to environmental or oncogenic stress constitutes a major pathway whereby p53 exerts its tumor suppressor function. In the past decade, we have discovered that p53 is not alone in its mission to destroy damaged or aberrantly proliferating cells: it has two homologs, p63 and p73, that in various cellular contexts and stresses contribute to this process. In this review, the mechanisms whereby p53, and in some cases p63 and p73, induce apoptosis are discussed. Other reviews have focused more extensively on the contribution of individual p53-regulated genes to apoptosis induction by this protein, whereas in this review, we focus more on those factors that mediate the decision between growth arrest and apoptosis by p53, p63 and p73, and on the post-translational modifications and protein-protein interactions that influence this decision.

Indexed as

AnimalsApoptosisHumansMitochondriaProtein BindingProtein IsoformsProtein Processing, Post-TranslationalTranscription, GeneticTumor Suppressor Protein p53Protein IsoformsTumor Suppressor Protein p53

Identifiers

PMID18955976
PMCPMC2657599
OpenAlexW2063131548

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.