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Translating p53-based therapies for cancer into the clinic
Open accessAbstract
Inactivation of the most important tumour suppressor gene TP53 occurs in most, if not all, human cancers. Loss of functional wild-type p53 is achieved via two main mechanisms: mutation of the gene leading to an absence of tumour suppressor activity and, in some cases, gain-of-oncogenic function; or inhibition of the wild-type p53 protein mediated by overexpression of its negative regulators MDM2 and MDMX. Because of its high potency as a tumour suppressor and the dependence of at least some established tumours on its inactivation, p53 appears to be a highly attractive target for the development of new anticancer drugs. However, p53 is a transcription factor and therefore has long been considered undruggable. Nevertheless, several innovative strategies have been pursued for targeting dysfunctional p53 for cancer treatment. In mutant p53-expressing tumours, the predominant strategy is to restore tumour suppressor function with compounds acting either in a generic manner or otherwise selective for one or a few specific p53 mutations. In addition, approaches to deplete mutant p53 or to target vulnerabilities created by mutant p53 expression are currently under development. In wild-type p53 tumours, the major approach is to protect p53 from the actions of MDM2 and MDMX by targeting these negative regulators with inhibitors. Although the results of at least some clinical trials of MDM2 inhibitors and mutant p53-restoring compounds are promising, none of the agents has yet been approved by the FDA. Alternative strategies, based on a better understanding of p53 biology, the mechanisms of action of compounds and treatment regimens as well as the development of new technologies are gaining interest, such as proteolysis-targeting chimeras for MDM2 degradation. Other approaches are taking advantage of the progress made in immune-based therapies for cancer. In this Review, we present these ongoing clinical trials and emerging approaches to re-evaluate the current state of knowledge of p53-based therapies for cancer. Although p53 was once considered undruggable, in this Review, Peuget et al. discuss the progress made in targeting p53 as a form of cancer therapy with approaches ranging from restoration of mutant p53 function to inhibition of the negative regulator of p53, MDM2, as well as newer strategies, including p53-based mRNA vaccines and antibodies.
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“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 [17]
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“Unfortunately, to date, that promise for clinical applications has not been met [17, 81, 82].”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [17]
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Vogelstein, B., Lane, D., & Levine, A. J. (2000) · Nature · doi:10.1038/35042675 · Cited by 6,607
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461
In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2
Vassilev, L. T., Vu, B. T., Graves, B., Carvajal, D., Podlaski, F., Filipovic, Z., Kong, N., Kammlott, U., Lukacs, C., Klein, C., et al. (2004) · Science · doi:10.1126/science.1092472 · Cited by 4,661
Mice deficient for p53 are developmentally normal but susceptible to spontaneous tumours
Donehower, L. A., Harvey, M., Slagle, B. L., McArthur, M. J., Montgomery, C. A., Butel, J. S., & Bradley, A. (1992) · Nature · doi:10.1038/356215a0 · Cited by 4,649
Molecular and genetic properties of tumors associated with local immune cytolytic activity
Rooney, M. S., Shukla, S. A., Wu, C. J., Getz, G., & Hacohen, N. (2015) · Cell · doi:10.1016/j.cell.2014.12.033 · Cited by 3,825
Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.065 · Cited by 3,448
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
Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., Hein, A., Rote, N. S., Cope, L. M., Snyder, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.011 · Cited by 2,022
Cited by
Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets
Zhang, S., Xiao, X., Yi, Y., Wang, X., Zhu, L., Shen, Y., Lin, D., & Wu, C. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01848-7 · Cited by 399
Hepatocellular carcinoma: signaling pathways and therapeutic advances
Zheng, J., Wang, S., Xia, L., Sun, Z., Chan, K. M., Bernards, R., Qin, W., Chen, J., Xia, Q., & Jin, H. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02075-w · Cited by 341
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
p53: from understanding its structure to advances in therapeutic targeting
Wang, W., Liu, X., Liu, H., Abolhassani, H., Yan, H., Zhang, H., & Wang, X. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02549-5 · Cited by 30
Metadata
- Authors
- Peuget, S., Zhou, X., & Selivanova, G.
- Venue
- Nature Reviews Cancer
- Published
- 2024-01-29
- Volume
- 24
- Issue
- 3
- Pages
- 192-215
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W4391323814
- Cited by
- 190
- References
- 52
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- green
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