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Cited by 162

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Mutant p53 reactivation by small molecules makes its way to the clinic

Bykov, Vladimir J.N., Wiman, Klas G.·2014·FEBS Letters

Abstract

The TP53 tumor suppressor gene is mutated in many human tumors, including common types of cancer such as colon and ovarian cancer. This illustrates the key role of p53 as trigger of cell cycle arrest or cell death upon oncogenic stress. Most TP53 mutations are missense mutations that result in single amino acid substitutions in p53 and expression of high levels of dysfunctional p53 protein. Restoration of wild type p53 function in such tumor cells will induce robust cell death and allow efficient eradication of the tumor. Therapeutic targeting of mutant p53 in tumors is a rapidly developing field at the forefront of translational cancer research. Various approaches have led to the identification of small molecules that can rescue mutant p53. These include compounds that target specific p53 mutations, including PK083 and PK5174 (Y220C mutant p53) and NSC319726 (R175H mutant p53), as well as PRIMA‐1 and its analog APR‐246 that affect a wider range of mutant p53 proteins. APR‐246 has been tested in a Phase I/II clinical trial with promising results.

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Metadata

Authors
Bykov, V. J. N., & Wiman, K. G.
Venue
FEBS Letters
Publisher
Wiley
Published
2014-04-24
Volume
588
Issue
16
Pages
2622-2627
ISSN
  • 0014-5793
  • 1873-3468
Cited by
162
References
13
Language
en
Funders
  • Swedish Cancer Society
  • Swedish Research Council
  • EU FP6 Framework Program
  • Radiumhemmets Forskningsfonder
  • StratCan
  • Stockholms Läns Landsting
  • Karolinska Institutet

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CoChat. (2026). Citation check: Mutant p53 reactivation by small molecules makes its way to the clinic. https://app.cochat.ai/papers/10.1016/j.febslet.2014.04.017
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Bykov, V. J. N., & Wiman, K. G. (2014). Mutant p53 reactivation by small molecules makes its way to the clinic. FEBS Letters. https://doi.org/10.1016/j.febslet.2014.04.017

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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.