Cited by 1,395Cancer-related Molecular PathwaysCell death mechanisms and regulationPI3K/AKT/mTOR signaling in cancer

How does p53 induce apoptosis and how does this relate to p53-mediated tumour suppression

Open access
Aubrey, Brandon J, Kelly, Gemma L, Janic, Ana, Herold, Marco J, Strasser, Andreas·2018·Cell Death & Differentiation

Abstract

The tumour suppressor gene TP53 is mutated in ~50% of human cancers. In addition to its function in tumour suppression, p53 also plays a major role in the response of malignant as well as nontransformed cells to many anticancer therapeutics, particularly those that cause DNA damage. P53 forms a homotetrameric transcription factor that is reported to directly regulate ~500 target genes, thereby controlling a broad range of cellular processes, including cell cycle arrest, cell senescence, DNA repair, metabolic adaptation and cell death. For a long time, induction of apoptotic death in nascent neoplastic cells was regarded as the principal mechanism by which p53 prevents tumour development. This concept has, however, recently been challenged by the findings that in striking contrast to Trp53-deficient mice, gene-targeted mice that lack the critical effectors of p53-induced apoptosis do not develop tumours spontaneously. Remarkably, even mice lacking all mediators critical for p53-induced apoptosis, G1/S boundary cell cycle arrest and cell senescence do not develop any tumours spontaneously. In this review we discuss current understanding of the mechanisms by which p53 induces cell death and how this affects p53-mediated tumour suppression and the response of malignant cells to anticancer therapy.

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 · 10.1038/cdd.2017.169

Cites

125 of 125 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • DDR involves activation of cell cycle checkpoints, DNA repair mechanisms and apoptosis, especially if DNA damage is severe or persistent.

    “DDR involves the activation of cell cycle checkpoints, DNA repair mechanisms and apoptosis, especially if the DNA damage is severe or persistent (45).”

    From Intravitreal AAV vector delivery induces integrin-dependent ocular inflammation, complement activation, and antiviral and DNA damage responses (2026) · cites this paper as [45]

    The “Gene in Human Cancer” section (page unavailable) says that p53 activation can lead to cell-cycle arrest, coordination of DNA-repair pathways, and apoptosis in response to stresses including DNA damage. It does not establish that apoptosis occurs especially when damage is severe or persistent, and its discussion is specifically about p53 rather than the entire DNA damage response. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Pro-apoptotic Bcl-2 family members (e.g., PUMA, Bax) mediate mitochondrial outer membrane permeabilization and caspase activation.

    “This includes pro-apoptotic members of the Bcl-2 family (e.g., PUMA, Bax), which mediate mitochondrial outer membrane permeabilization and subsequent caspase activation, to dismantle the cell (Nakano and Vousden, 2001; Chipuk et al., 2004; Aubrey et al., 2018).”

    From USP7 Is a Master Regulator of Genome Stability (2020) · cites this paper as Aubrey et al., 2018

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Lane DP, Benchimol S. p53: oncogene or antioncogene. Genes Dev 1990; 4: 1-8.

Cited by

Sorted by citations

Authors
Aubrey, B. J., Kelly, G. L., Janic, A., Herold, M. J., & Strasser, A.
Affiliations
The University of Melbourne (AU)
Corresponding author
Strasser, Andreas
Venue
Cell Death & Differentiation
Published
2017-11-17
Volume
25
Issue
1
Pages
104-113
ISSN
  • 1350-9047 (ISSN-L)
  • 1476-5403
OpenAlex
W2768768130
Cited by
1,395
References
125
Citations by year
2026: 133 · 2025: 202 · 2024: 195 · 2023: 202 · 2022: 207 · 2021: 206 · 2020: 153 · 2019: 63 · 2018: 33 · 2017: 1
FWCI
7.18
Type
journal article
Language
en
Open access
Locations
  • Cell Death and Differentiation (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Leukemia and Lymphoma Society (7001-13, LLS SCOR 7001-13)
  • Australian Government
  • Medical Research Council (1016701)
  • National Health and Medical Research Council (1016701, 1020136, 9000220, 1020363)
Topics
  • Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cell death mechanisms and regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
Keywords
p53, TP53, apoptosis, tumor suppression, cell cycle arrest, cellular senescence, DNA damage response, cancer therapy, p53 target genes, G1/S cell cycle arrest, DNA repair, metabolic adaptation
MeSH terms
Animals, Humans, Mutation, Neoplasms, Transcription Factors, Signal Transduction, Tumor Suppressor Protein p53, Apoptosis, Proto-Oncogene Proteins c-bcl-2, Mice

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