The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
TP53: the unluckiest of genes?
Abstract
The transcription factor p53 plays a key role in the cellular defense against cancer development. It is inactivated in virtually every tumor, and in every second tumor this inactivation is due to a mutation in the TP53 gene. In this perspective, we show that this diverse mutational spectrum is unique among all other cancer-associated proteins and discuss what drives the selection of TP53 mutations in cancer. We highlight that several factors conspire to make the p53 protein particularly vulnerable to inactivation by the mutations that constantly plague our genome. It appears that the TP53 gene has emerged as a victim of its own evolutionary past that shaped its structure and function towards a pluripotent tumor suppressor, but came with an increased structural fragility of its DNA-binding domain. TP53 loss of function - with associated dominant-negative effects - is the main mechanism that will impair TP53 tumor suppressive function, regardless of whether a neomorphic phenotype is associated with some of these variants.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Systematic functional and structural studies have shown that the p53 DBD is extremely fragile, as most single amino acid substitutions located within this domain impair TP53 functionality.”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: New Dimensions
Hanahan, D. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1059 · Cited by 9,887
Crystal Structure of a p53 Tumor Suppressor-DNA Complex: Understanding Tumorigenic Mutations
Cho, Y., Gorina, S., Jeffrey, P. D., & Pavletich, N. P. (1994) · Science · doi:10.1126/science.8023157 · Cited by 2,551 · cited 1×
“…fi ndings and led to this simple binary classi fi cation of common cancer mutations as contact mutations that disrupt amino acids directly contacting DNA (at codons 273 and 248) and structural mutations that destabilize the structure/ conformation of the DBD (at codons 175, 249, or 282) [20 – 22].”
Mutational processes shape the landscape of TP53 mutations in human cancer
Giacomelli, A. O., Yang, X., Lintner, R. E., McFarland, J. M., Duby, M., Kim, J., Howard, T. P., Takeda, D. Y., Ly, S. H., Kim, E., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0204-y · Cited by 556
A dominant-negative effect drives selection of TP53 missense mutations in myeloid malignancies
Boettcher, S., Miller, P. G., Sharma, R., McConkey, M., Leventhal, M., Krivtsov, A. V., Giacomelli, A. O., Wong, W., Kim, J., Chao, S., et al. (2019) · Science · doi:10.1126/science.aax3649 · Cited by 441
Targeting a neoantigen derived from a common TP53 mutation
Hsiue, E. H.-C., Wright, K. M., Douglass, J., Hwang, M. S., Mog, B. J., Pearlman, A. H., Paul, S., DiNapoli, S. R., Konig, M. F., Wang, Q., et al. (2021) · Science · doi:10.1126/science.abc8697 · Cited by 367
Zhang, Q., Balourdas, D.-I., Baron, B., Senitzki, A., Haran, T. E., Wiman, K. G., Soussi, T., & Joerger, A. C. (2022) · Cell Death & Disease · doi:10.1038/s41419-022-04653-8 · Cited by 14
Self-citation
Research works printed but not linked: 71
- Klein G. Oncogenes and tumor suppressor genes. Acta Oncol. 1988;27:427–37. · DOI
- Friend SH, Dryja TP, Weinberg RA. Oncogenes and tumor-suppressing genes. N. Engl J Med. 1988;318:618–22. · DOI · Paper page
- Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74. · DOI · Paper page
- Schreiber RD, Old LJ, Smyth MJ. Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science. 2011;331:1565–70. · DOI · Paper page
- Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz LA, Kinzler KW. Cancer genome landscapes. Science. 2013;339:1546–58. · DOI · Paper page
- Martínez-Jiménez F, Muiños F, Sentís I, Deu-Pons J, Reyes-Salazar I, Arnedo-Pac C, et al. A compendium of mutational cancer driver genes. Nat Rev Cancer. 2020;20:555–72. · DOI · Paper page
- Sahakyan AB, Balasubramanian S. Single genome retrieval of context-dependent variability in mutation rates for human germline. BMC Genom. 2017;18:81. · DOI
- Alexandrov LB, Kim J, Haradhvala NJ, Huang MN, Tian Ng AW, Wu Y, et al. The repertoire of mutational signatures in human cancer. Nature. 2020;578:94–101. · DOI · Paper page
- Soussi T, Wiman KG. TP53: an oncogene in disguise. Cell Death Differ. 2015;22:1239–49. · DOI · Paper page
- Donehower LA, Soussi T, Korkut A, Liu Y, Schultz A, Cardenas M, et al. Integrated analysis of TP53 gene and pathway alterations in the cancer genome Atlas. Cell Rep. 2019;28:1370–84.e5. · DOI · Paper page
- de Andrade KC, Lee EE, Tookmanian EM, Kesserwan CA, Manfredi JJ, Hatton JN, et al. The TP53 database: transition from the international agency for research on cancer to the US National Cancer Institute. Cell Death Differ. 2022;29:1071–3. · DOI · Paper page
- Oren M, Rotter V. Mutant p53 gain-of-function in cancer. Cold Spring Harb Perspect Biol. 2010;2:a001107. · DOI · Paper page
- Sturzbecher HW, Chumakov P, Welch WJ, Jenkins JR. Mutant p53 proteins bind hsp 72/73 cellular heat shock-related proteins in SV40-transformed monkey cells. Oncogene. 1987;1:201–11.
- Finlay CA, Hinds PW, Tan TH, Eliyahu D, Oren M, Levine AJ. Activating mutations for transformation by p53 produce a gene product that forms an hsc70-p53 complex with an altered half-life. Mol Cell Biol. 1988;8:531–9.
- Gannon JV, Greaves R, Iggo R, Lane DP. Activating mutations in p53 produce a common conformational effect. A monoclonal antibody specific for the mutant form. EMBO J. 1990;9:1595–602. · DOI · Paper page
- Legros Y, Lafon C, Soussi T. Linear antigenic sites defined by the B-cell response to human p53 are localized predominantly in the amino and carboxy-termini of the protein. Oncogene. 1994;9:2071–6.
- Legros Y, Meyer A, Ory K, Soussi T. Mutations in p53 produce a common conformational effect that can be detected with a panel of monoclonal antibodies directed toward the central part of the p53 protein. Oncogene. 1994;9:3689–94.
- Ory K, Legros Y, Auguin C, Soussi T. Analysis of the most representative tumour-derived p53 mutants reveals that changes in protein conformation are not correlated with loss of transactivation or inhibition of cell proliferation. EMBO J. 1994;13:3496–504. · DOI · Paper page
- Pavletich NP, Chambers KA, Pabo CO. The DNA-binding domain of p53 contains the four conserved regions and the major mutation hot spots. Genes Dev. 1993;7:2556–64. · DOI · Paper page
- Bargonetti J, Manfredi JJ, Chen X, Marshak DR, Prives C. A proteolytic fragment from the central region of p53 has marked sequence-specific DNA-binding activity when generated from wild-type but not from oncogenic mutant p53 protein. Genes Dev. 1993;7:2565–74. · DOI · Paper page
- Bullock AN, Henckel J, Fersht AR. Quantitative analysis of residual folding and DNA binding in mutant p53 core domain: definition of mutant states for rescue in cancer therapy. Oncogene. 2000;19:1245–56. · DOI · Paper page
- Blanden AR, Yu X, Blayney AJ, Demas C, Ha JH, Liu Y, et al. Zinc shapes the folding landscape of p53 and establishes a pathway for reactivating structurally diverse cancer mutants. Elife. 2020;9:e61487. · DOI · Paper page
- Joerger AC, Fersht AR. Structure-function-rescue: the diverse nature of common p53 cancer mutants. Oncogene. 2007;26:2226–42. · DOI · Paper page
- Michalovitz D, Halevy O, Oren M. Conditional inhibition of transformation and of cell proliferation by a temperature-sensitive mutant of p53. Cell. 1990;62:671–80. · DOI · Paper page
- Zhang W, Guo XY, Hu GY, Liu WB, Shay JW, Deisseroth AB. A temperature-sensitive mutant of human p53. EMBO J. 1994;13:2535–44. · DOI
- Dearth LR, Qian H, Wang T, Baroni TE, Zeng J, Chen SW, et al. Inactive full-length p53 mutants lacking dominant wild-type p53 inhibition highlight loss of heterozygosity as an important aspect of p53 status in human cancers. Carcinogenesis. 2007;28:289–98. · DOI · Paper page
- Hu W, Feng Z. Hypothermia is a potential new therapy for a subset of tumors with Mutant p53. Cancer Res. 2021;81:3762–3. · DOI
- Song H, Wu J, Tang Y, Dai Y, Xiang X, Li Y, et al. Diverse rescue potencies of p53 mutations to ATO are predetermined by intrinsic mutational properties. Sci Transl Med. 2023;15:eabn9155. · DOI · Paper page
- Balourdas DI, Markl AM, Krämer A, Settanni G, Joerger AC. Structural basis of p53 inactivation by cavity-creating cancer mutations and its implications for the development of mutant p53 reactivators. Cell Death Dis. 2024;15:408. · DOI · Paper page
- Soussi T, Caron de Fromentel C, Sturzbecher HW, Ullrich S, Jenkins J, May P. Evolutionary conservation of the biochemical properties of p53: specific interaction of Xenopus laevis p53 with simian virus 40 large T antigen and mammalian heat shock proteins 70. J Virol. 1989;63:3894–901. · DOI · Paper page
- Bensaad K, Le Bras M, Unsal K, Strano S, Blandino G, Tominaga O, et al. Change of conformation of the DNA-binding domain of p53 is the only key element for binding of and interference with p73. J Biol Chem. 2003;278:10546–55. · DOI · Paper page
- Waddell S, Jenkins JR, Proikas-Cezanne TA. “no-hybrids” screen for functional antagonizers of human p53 transactivator function: dominant negativity in fission yeast. Oncogene. 2001;20:6001–8. · DOI
- Joerger AC, Fersht AR. Structural biology of the tumor suppressor p53. Annu Rev Biochem. 2008;77:557–82. · DOI · Paper page
- Joerger AC, Ang HC, Fersht AR. Structural basis for understanding oncogenic p53 mutations and designing rescue drugs. Proc Natl Acad Sci USA. 2006;103:15056–61. · DOI · Paper page
- Kato S, Han SY, Liu W, Otsuka K, Shibata H, Kanamaru R, et al. Understanding the function-structure and function-mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis. Proc Natl Acad Sci USA. 2003;100:8424–9. · DOI · Paper page
- Soussi T, Kato S, Levy PP, Ishioka C. Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations. Hum Mutat. 2005;25:6–17. · DOI
- Kotler E, Shani O, Goldfeld G, Lotan-Pompan M, Tarcic O, Gershoni A, et al. A systematic p53 mutation library links differential functional impact to cancer mutation pattern and evolutionary conservation. Mol Cell. 2018;71:178–90.e8. · DOI · Paper page
- Funk J, Klimovich M, Pavlakis E, Neumann M, Drangenstein D, Noeparast M, et al. Functional diversity of the TP53 mutome revealed by saturating CRISPR mutagenesis. bioRxiv. 2023; https://doi.org/10.1101/2023.03.10.531074. · doi:10.1101/2023.03.10.531074
- Carbonnier V, Leroy B, Rosenberg S, Soussi T. Comprehensive assessment of TP53 loss of function using multiple combinatorial mutagenesis libraries. Sci Rep. 2020;10:20368. · DOI
- Joerger AC, Wilcken R, Andreeva A. Tracing the evolution of the p53 tetramerization domain. Structure. 2014;22:1301–10. · DOI · Paper page
- Gencel-Augusto J, Lozano G. p53 tetramerization: at the center of the dominant-negative effect of mutant p53. Genes Dev. 2020;34:1128–46. · DOI
- Natan E, Hirschberg D, Morgner N, Robinson CV, Fersht AR. Ultraslow oligomerization equilibria of p53 and its implications. Proc Natl Acad Sci USA. 2009;106:14327–32. · DOI
- Xu J, Reumers J, Couceiro JR, De Smet F, Gallardo R, Rudyak S, et al. Gain of function of mutant p53 by coaggregation with multiple tumor suppressors. Nat Chem Biol. 2011;7:285–95. · DOI · Paper page
- Kravchenko JE, Ilyinskaya GV, Komarov PG, Agapova LS, Kochetkov DV, Strom E, et al. Small-molecule RETRA suppresses mutant p53-bearing cancer cells through a p73-dependent salvage pathway. Proc Natl Acad Sci USA. 2008;105:6302–7. · DOI · Paper page
- Stiewe T, Putzer BM. Role of the p53-homologue p73 in E2F1-induced apoptosis. Nat Genet. 2000;26:464–9. · DOI · Paper page
- Gaiddon C, Lokshin M, Ahn J, Zhang T, Prives C. A subset of tumor-derived mutant forms of p53 down-regulate p63 and p73 through a direct interaction with the p53 core domain. Mol Cell Biol. 2001;21:1874–87. · DOI · Paper page
- Strano S, Munarriz E, Rossi M, Cristofanelli B, Shaul Y, Castagnoli L, et al. Physical and functional interaction between p53 mutants and different isoforms of p73. J Biol Chem. 2000;275:29503–12. · DOI · Paper page
- Li Y, Prives C. Are interactions with p63 and p73 involved in mutant p53 gain of oncogenic function? Oncogene. 2007;26:2220–5. · DOI · Paper page
- Sadagopan A, Garaffo N, Chang H-J, Schreiber SL, Meyerson M, Gibson WJ. p53 protein abundance is a therapeutic window across TP53 mutant cancers and is targetable with proximity inducing small molecules. bioRxiv.2024; https://doi.org/10.1101/2024.07.27.605429. · DOI
- Robles AI, Harris CC. Clinical outcomes and correlates of TP53 mutations and cancer. Cold Spring Harb Perspect Biol. 2010;2:a001016. · DOI · Paper page
- Stiewe T, Haran TE. How mutations shape p53 interactions with the genome to promote tumorigenesis and drug resistance. Drug Resist Updat. 2018;38:27–43. · DOI
- Redman-Rivera LN, Shaver TM, Jin H, Marshall CB, Schafer JM, Sheng Q, et al. Acquisition of aneuploidy drives mutant p53-associated gain-of-function phenotypes. Nat Commun. 2021;12:5184. · DOI
- Alexandrova EM, Yallowitz AR, Li D, Xu S, Schulz R, Proia DA, et al. Improving survival by exploiting tumour dependence on stabilized mutant p53 for treatment. Nature. 2015;523:352–6. · DOI · Paper page
- Terzian T, Suh YA, Iwakuma T, Post SM, Neumann M, Lang GA, et al. The inherent instability of mutant p53 is alleviated by Mdm2 or p16INK4a loss. Genes Dev. 2008;22:1337–44. · DOI · Paper page
- Lü Y, Cho T, Mukherjee S, Suarez CF, Gonzalez-Foutel NS, Malik A, et al. Genome-wide CRISPR screens identify novel regulators of wild-type and mutant p53 stability. Mol Syst Biol. 2024;20:719–40. · DOI
- Gouas D, Shi H, Hainaut P. The aflatoxin-induced TP53 mutation at codon 249 (R249S): biomarker of exposure, early detection and target for therapy. Cancer Lett. 2009;286:29–37. · DOI
- Malekzadeh P, Pasetto A, Robbins PF, Parkhurst MR, Paria BC, Jia L, et al. Neoantigen screening identifies broad TP53 mutant immunogenicity in patients with epithelial cancers. J Clin Investig. 2019;129:1109–14. · DOI · Paper page
- Hoyos D, Zappasodi R, Schulze I, Sethna Z, de Andrade KC, Bajorin DF, et al. Fundamental immune-oncogenicity trade-offs define driver mutation fitness. Nature. 2022;606:172–9. · DOI
- Lane DP. Mutant p53 gain-of-function in the spotlight: are we suffering a GOF Delusion. Cancer Discov. 2024;14:211–3. · DOI
- Wang Z, Burigotto M, Ghetti S, Vaillant F, Tan T, Capaldo BD, et al. Loss-of-function but not gain-of-function properties of mutant TP53 are critical for the proliferation, survival, and metastasis of a broad range of cancer cells. Cancer Discov. 2024;14:362–79. · DOI · Paper page
- Leroy B, Fournier JL, Ishioka C, Monti P, Inga A, Fronza G, et al. The TP53 website: an integrative resource centre for the TP53 mutation database and TP53 mutant analysis. Nucleic Acids Res. 2013;41:D962–9. · DOI · Paper page
- Barnoud T, Parris JLD, Murphy ME. Common genetic variants in the TP53 pathway and their impact on cancer. J Mol Cell Biol. 2019;11:578–85. · DOI
- Grochola LF, Zeron-Medina J, Meriaux S, Bond GL. Single-nucleotide polymorphisms in the p53 signaling pathway. Cold Spring Harb Perspect Biol. 2010;2:a001032. · DOI
- Escobar-Hoyos LF, Penson A, Kannan R, Cho H, Pan CH, Singh RK, et al. Altered RNA Splicing by Mutant p53 Activates oncogenic RAS signaling in pancreatic cancer. Cancer Cell. 2020;38:198–211.e8. · DOI · Paper page
- Kim MP, Li X, Deng J, Zhang Y, Dai B, Allton KL, et al. Oncogenic KRAS recruits an expansive transcriptional network through mutant p53 to drive pancreatic cancer metastasis. Cancer Discov. 2021;11:2094–111. · DOI · Paper page
- Taverna DM, Goldstein RA. Why are proteins so robust to site mutations. J Mol Biol. 2002;315:479–84. · DOI
- Tokuriki N, Tawfik DS. Stability effects of mutations and protein evolvability. Curr Opin Struct Biol. 2009;19:596–604. · DOI · Paper page
- Khoo KH, Andreeva A, Fersht AR. Adaptive evolution of p53 thermodynamic stability. J Mol Biol. 2009;393:161–75. · DOI · Paper page
- Brandt T, Kaar JL, Fersht AR, Veprintsev DB. Stability of p53 homologs. PLoS ONE. 2012;7:e47889. · DOI · Paper page
- Joerger AC, Fersht AR. The p53 pathway: origins, inactivation in cancer, and emerging therapeutic approaches. Annu Rev Biochem. 2016;85:375–404. · DOI · Paper page
- Natan E, Baloglu C, Pagel K, Freund SM, Morgner N, Robinson CV, et al. Interaction of the p53 DNA-Binding Domain with Its N-Terminal extension modulates the stability of the p53 Tetramer. J Mol Biol. 2011;409:358–68. · DOI
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
Self-citation
Metadata
- Authors
- Joerger, A. C., Stiewe, T., & Soussi, T.
- Venue
- Cell Death & Differentiation
- Published
- 2024-10-23
- Volume
- 32
- Issue
- 2
- Pages
- 219-224
- ISSN
- 1350-9047
- 1476-5403
- Cited by
- 51
- References
- 6
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- Deutsche Forschungsgemeinschaft (JO 1473/1-3, STI 182/15-1, GRK2573)
- Cancéropôle IDF
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: TP53: the unluckiest of genes? https://app.cochat.ai/papers/10.1038/s41418-024-01391-6
- The paper
- Joerger, A. C., Stiewe, T., & Soussi, T. (2025). TP53: the unluckiest of genes? Cell Death & Differentiation. https://doi.org/10.1038/s41418-024-01391-6
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.