Small-molecule correctors and stabilizers to target p53
Open accessAbstract
The tumor suppressor p53 is the most frequently mutated protein in human cancer and tops the list of high-value precision oncology targets. p53 prevents initiation and progression of cancer by inducing cell-cycle arrest and various forms of cell death. Tumors have thus evolved ways to inactivate p53, mainly by TP53 mutations or by hyperactive p53 degradation. This review focuses on two types of p53 targeting compounds, MDM2 antagonists and mutant p53 correctors. MDM2 inhibitors prevent p53 protein degradation, while correctors restore tumor suppressor activity of p53 mutants by enhancing thermodynamic stability. Herein we explore both novel and repurposed p53 targeting compounds, discuss their mode of action, and examine the challenges in advancing them to the clinic.
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Small-molecule MDM2 inhibitors are the most clinically advanced therapeutics targeting this pathway, and there are numerous clinical trials evaluating this class of drugs across various malignancies.
“Small-molecule MDM2 inhibitors are the most clinically advanced therapeutics targeting this pathway, and there are numerous clinical trials evaluating this class of drugs across various malignancies.2,3”
From Pharmacokinetic-pharmacodynamic-efficacy modeling of the MDM2 inhibitor brigimadlin in glioblastoma patient-derived xenografts (2026) · cites this paper as [2]
The section “Small molecules that block p53 degradation (MDM2 antagonists)” describes clinical evaluations of multiple MDM2 inhibitors in liposarcoma, hematological malignancies, and other solid tumors. It does not establish the comparative claim that they are the most clinically advanced therapeutics targeting the p53 pathway; it also notes that clinical efficacy has not met expectations. Page numbers were not provided in our copy. (LLM, conf=0.81)
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Mutant TRP53 exerts a target gene-selective dominant-negative effect to drive tumor developmentPreprint
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Vaubel, R. A., Zhang, W., Oh, J.-H., Mladek, A. C., Pasa, T. I., Gantchev, J. K., Waller, K. L., Baquer, G., Stopka, S. A., Regan, M. S., et al. (2025) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-25-0244 · Cited by 2 · see citing works
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- Authors
- Fallatah, M. M. J., Law, F. V., Chow, W. A., & Kaiser, P.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Kaiser, Peter
- Venue
- Trends in Pharmacological Sciences
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 44
- Issue
- 5
- Pages
- 274-289
- ISSN
- 0165-6147 (ISSN-L)
- PMC
- PMC10511064
- OpenAlex
- W4353098259
- Cited by
- 44
- References
- 104
- Citations by year
- 2026: 18 · 2025: 11 · 2024: 12 · 2023: 3
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 348 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Trends in Pharmacological Sciences (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (R35GM148350, R21CA267495-A1, US20150307519 A1, US20160193214 A1)
- Topics
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Heat shock proteins research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Keywords
- p53, MDM2 inhibitors, p53 stabilization, TP53 mutation, p53 degradation, small molecule drugs, precision oncology, drug repurposing, cancer therapy
- MeSH terms
- Antineoplastic Agents, Humans, Neoplasms, Tumor Suppressor Protein p53, Proto-Oncogene Proteins c-mdm2, Precision Medicine
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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