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Pharmacological reactivation of p53 in the era of precision anticancer medicine
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“However, there is still a long and frustrating way to go, as p53 is still considered undruggable despite being a major driver event in human cancer [16].”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [16]
In the citing paper
“However, challenges arise due first to the unique structure of p53, characterized by a smooth surface lacking a suitable drug‐binding site, and second to the complexities involved in reactivating p53 functionality. Both have hindered drug development for decades [16, 17, 110].”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [16]
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In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2
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Regulation of p53 stability by Mdm2
Kubbutat, M. H. G., Jones, S. N., & Vousden, K. H. (1997) · Nature · doi:10.1038/387299a0 · Cited by 3,312 · cited 2×
“4 | Therapeutic strategies for wild-type TP53 cancers. p53 induces the transcription of its main inhibitor MDM2, forming an autoregulatory negative feedback loop 77,162 .”
Blinded by the Light: The Growing Complexity of p53
Vousden, K. H., & Prives, C. (2009) · Cell · doi:10.1016/j.cell.2009.04.037 · Cited by 3,163
Senescence and tumour clearance is triggered by p53 restoration in murine liver carcinomas
Xue, W., Zender, L., Miething, C., Dickins, R. A., Hernando, E., Krizhanovsky, V., Cordon-Cardo, C., & Lowe, S. W. (2007) · Nature · doi:10.1038/nature05529 · Cited by 2,473
Structure of the MDM2 Oncoprotein Bound to the p53 Tumor Suppressor Transactivation Domain
Kussie, P. H., Gorina, S., Marechal, V., Elenbaas, B., Moreau, J., Levine, A. J., & Pavletich, N. P. (1996) · Science · doi:10.1126/science.274.5289.948 · Cited by 2,206
Restoration of p53 function leads to tumour regression in vivo
Ventura, A., Kirsch, D. G., McLaughlin, M. E., Tuveson, D. A., Grimm, J., Lintault, L., Newman, J., Reczek, E. E., Weissleder, R., & Jacks, T. (2007) · Nature · doi:10.1038/nature05541 · Cited by 1,820
Retinoic Acid and Arsenic Trioxide for Acute Promyelocytic Leukemia
Lo-Coco, F., Avvisati, G., Vignetti, M., Thiede, C., Orlando, S. M., Iacobelli, S., Ferrara, F., Fazi, P., Cicconi, L., Di Bona, E., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1300874 · Cited by 1,611
Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome
Olive, K. P., Tuveson, D. A., Ruhe, Z. C., Yin, B., Willis, N. A., Bronson, R. T., Crowley, D., & Jacks, T. (2004) · Cell · doi:10.1016/j.cell.2004.11.004 · Cited by 1,308
MDM2, MDMX and p53 in oncogenesis and cancer therapy
Wade, M., Li, Y.-C., & Wahl, G. M. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3430 · Cited by 1,279 · cited 1×
“Hetero-oligomerization of MDM2 and MDM4 via their carboxy-terminal domains stabilizes MDM2 and enhances its Ub ligase activity 163,164 .”
P53 in survival, death and metabolic health: a lifeguard with a licence to kill.
Kruiswijk, F., Labuschagne, C. F., & Vousden, K. H. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4007 · Cited by 1,080
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Cited by
The TP53 tumor suppressor gene: From molecular biology to clinical investigations
Baliakas, P., & Soussi, T. (2025) · Journal of Internal Medicine · doi:10.1111/joim.20106 · Cited by 50
Functional investigations of p53 acetylation enabled by heterobifunctional molecules
Chen, L.-Y., Singha Roy, S. J., Jadhav, A. M., Wang, W. W., Chen, P.-H., Bishop, T., Erb, M. A., & Parker, C. G. (2024) · ACS Chemical Biology · doi:10.1021/acschembio.4c00438 · Cited by 18
Metadata
- Authors
- Tuval, A., Strandgren, C., Heldin, A., Palomar-Siles, M., & Wiman, K. G.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2023-12-15
- Volume
- 21
- Issue
- 2
- Pages
- 106-120
- ISSN
- 1759-4774
- 1759-4782
- Cited by
- 93
- References
- 43
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pharmacological reactivation of p53 in the era of precision anticancer medicine. https://app.cochat.ai/papers/10.1038/s41571-023-00842-2
- The paper
- Tuval, A., Strandgren, C., Heldin, A., Palomar-Siles, M., & Wiman, K. G. (2024). Pharmacological reactivation of p53 in the era of precision anticancer medicine. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-023-00842-2
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.