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Therapeutic targeting of p53: all mutants are equal, but some mutants are more equal than others
Abstract
TP53, which encodes the tumour-suppressor protein p53, is the most frequently mutated gene across all cancer types. The presence of mutant p53 predisposes to cancer development, promotes the survival of cancer cells, and is associated with ineffective therapeutic responses and unfavourable prognoses. Despite these effects, no drug that abrogates the oncogenic functions of mutant p53 has yet been approved for the treatment of cancer. Current investigational therapeutic strategies are mostly aimed at restoring the wild-type activity of mutant p53, based on the assumption that all p53 mutants are functionally equal. Our increasing knowledge of mutant forms of p53, however, supports the antithetical hypothesis that not all p53 mutants have equivalent cellular effects; hence, a judicious approach to therapeutic targeting of mutant p53 is required. In this Review, we propose a categorization of the major classes of p53 mutants based on their functionality in tumour suppression and response to therapy. The emerging picture is that the mutations across TP53 form a 'rainbow of mutants', with varying degrees of functionality and different pathobiological consequences, necessitating the use of diverse therapeutic strategies to selectively target specific classes of mutation. The utility of this knowledge of TP53 mutations in developing selective therapeutic options, and in facilitating clinical decision-making is discussed.
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“indicating that activation of p53 in some cases may have the opposite effect, which was consistent with results from other studies [94–96].”
From Targeting p53–MDM2 interaction by small-molecule inhibitors: learning from MDM2 inhibitors in clinical trials (2022) · cites this paper as [95]
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Metadata
- Authors
- Sabapathy, K., & Lane, D. P.
- Affiliations
- National University of Singapore (SG)
- Agency for Science, Technology and Research (SG)
- Corresponding author
- Sabapathy, Kanaga
- Lane, David P.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2017-09-26
- Volume
- 15
- Issue
- 1
- Pages
- 13-30
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W2759444489
- Cited by
- 517
- References
- 178
- Citations by year
- 2026: 40 · 2025: 67 · 2024: 74 · 2023: 89 · 2022: 57 · 2021: 64 · 2020: 53 · 2019: 41 · 2018: 26 · 2017: 3
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Clinical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation Singapore
- National Medical Research Council
- Topics
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Mechanisms and Therapy
- Keywords
- TP53 mutation, mutant p53, p53-targeted therapy, tumour suppressor, cancer therapy resistance, prognostic factors
- MeSH terms
- Humans, Mutation, Neoplasms, Genes, p53
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 ›
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