Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 175

The DOI matches its Crossref record.

p53: A Guide to Apoptosis

Meulmeester, Erik, Jochemsen, Aart·2008·Current Cancer Drug Targets

Abstract

Approximately 50% of sporadic human tumors harbor somatic mutations in the p53 gene locus, while germ line mutations confer a high familial risk and are associated with Li-Fraumeni Syndrome patients. The p53 tumor suppressor protein is often referred to as the "guardian of the genome" since its response to DNA-damage or checkpoint failure gives rise to a series of anti-proliferative responses. One of the most important functions of p53 is its ability to induce apoptosis, while disruption of this route can promote tumor progression and chemo resistance. Besides its ability to promote apoptosis through transcription dependent mechanisms, p53 may also be able to activate apoptosis independent of transcriptional regulation. Therefore, to ensure normal cell growth, p53 levels and activity are tightly regulated. Upon diverse forms of cellular stress the steady state levels and transcriptional activity of p53 are considerably increased. The stabilization and activation of p53 are a result of hindered inhibition by its negative regulators, e.g. Mdmx (also known as Mdm4) and Mdm2, while on the other hand activators such as HIPK2 and DYRK2 enhance the p53 response. The continually increasing understanding of the mechanisms of regulation of p53 may provide the basis for new drug designs that could eventually lead to therapeutics to reactivate p53 in cancers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2174/156800908783769337

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 175

Metadata

Authors
Meulmeester, E., & Jochemsen, A.
Venue
Current Cancer Drug Targets
Published
2008-03-01
Volume
8
Issue
2
Pages
87-97
ISSN
1568-0096 (ISSN-L)
OpenAlex
W2045894986
Cited by
175
References
0
FWCI
11.40
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: p53: A Guide to Apoptosis. https://app.cochat.ai/papers/10.2174/156800908783769337
The paper
Meulmeester, E., & Jochemsen, A. (2008). p53: A Guide to Apoptosis. Current Cancer Drug Targets. https://doi.org/10.2174/156800908783769337

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.