Cited by 29Cancer-related Molecular PathwaysGenomics and Rare DiseasesGenetic factors in colorectal cancer

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Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome

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Abstract

ABSTRACT Li-Fraumeni syndrome (LFS) is a heterogeneous predisposition to a broad spectrum of cancers caused by pathogenic TP53 germline variants. We have used a clustering approach to assign missense variants to functional classes with distinct quantitative and qualitative features based on transcriptional activity in yeast assays. Genotype-phenotype correlations were analyzed using the germline TP53 mutation database (n= 3,446) and validated in three LFS clinical cohorts (n= 821). Carriers of class A variants recapitulated all traits of fully penetrant LFS (median age at first diagnosis = 28 years). Class B carriers showed a less penetrant form (median = 33 years, p < 0.05) dominated by adrenocortical and breast cancers. Class C or D carriers had attenuated phenotypes (median = 41 years, p < 0.001) with typical LFS cancers in C and mostly non-LFS cancers in D. This new classification provides insight into structural/functional features causing pathogenicity.

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Research works printed but not linked: 27

  1. Amadou, 2018, Revisiting tumor patterns and penetrance in germline TP53 mutation carriers: temporal phases of Li-Fraumeni syndrome, Curr. Opin. Oncol., 30, 23, 10.1097/CCO.0000000000000423 · DOI
  2. Li, 1988, A cancer family syndrome in twenty-four kindreds, Cancer Res., 48, 5358
  3. Frebourg, 2020, Guidelines for the Li-Fraumeni and heritable TP53-related cancer syndromes, Eur. J. Hum. Genet., 28, 1379, 10.1038/s41431-020-0638-4 · DOI
  4. Kratz, 2021, Analysis of the Li-Fraumeni Spectrum Based on an International Germline TP53 Variant Data Set: An International Agency for Research on Cancer TP53 Database Analysis, JAMA Oncol., 7, 1800, 10.1001/jamaoncol.2021.4398 · DOI
  5. Kastenhuber, 2017, Putting p53 in Context, Cell, 170, 1062, 10.1016/j.cell.2017.08.028 · DOI · Paper page
  6. Levine, 2020, p53: 800 million years of evolution and 40 years of discovery, Nat. Rev. Cancer, 20, 471, 10.1038/s41568-020-0262-1 · DOI
  7. Hainaut, 2016, Somatic TP53 Mutations in the Era of Genome Sequencing, Cold Spring Harb. Perspect. Med., 6, 10.1101/cshperspect.a026179 · DOI
  8. Stein, 2020, Mutant p53 oncogenicity: dominant-negative or gain-of-function?, Carcinogenesis, 41, 1635, 10.1093/carcin/bgaa117 · DOI
  9. Kato, 2003, Understanding the function-structure and function-mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis, Proc. Natl. Acad. Sci. USA, 100, 8424, 10.1073/pnas.1431692100 · DOI
  10. Kotler, 2018, A Systematic p53 Mutation Library Links Differential Functional Impact to Cancer Mutation Pattern and Evolutionary Conservation, Mol. Cell, 71, 178, 10.1016/j.molcel.2018.06.012 · DOI
  11. Fortuno, 2021, Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants, Hum. Mutat., 42, 223, 10.1002/humu.24152 · DOI
  12. de Andrade, 2022, The TP53 Database: transition from the International Agency for Research on Cancer to the US National Cancer Institute, Cell Death Differ., 29, 1071, 10.1038/s41418-022-00976-3 · DOI
  13. Mathe, 2006, Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods, Nucleic Acids Res., 34, 1317, 10.1093/nar/gkj518 · DOI
  14. Ng, 2001, Predicting deleterious amino acid substitutions, Genome Res., 11, 863, 10.1101/gr.176601 · DOI · Paper page
  15. Ben-Cohen, 2022, TP53_PROF: a machine learning model to predict impact of missense mutations in TP53, Brief. Bioinform., 23, 10.1093/bib/bbab524 · DOI
  16. Yamazaki, 2018, Nodular Lymphocyte-predominant Hodgkin Lymphoma in a 15-Year-Old Boy With Li-Fraumeni Syndrome Having a Germline TP53 D49H Mutation, J. Pediatr. Hematol. Oncol., 40, e195, 10.1097/MPH.0000000000000948 · DOI
  17. Achatz, 2007, The TP53 mutation, R337H, is associated with Li-Fraumeni and Li-Fraumeni-like syndromes in Brazilian families, Cancer Lett., 245, 96, 10.1016/j.canlet.2005.12.039 · DOI
  18. Indeglia, 2023, An African-Specific Variant of TP53 Reveals PADI4 as a Regulator of p53-Mediated Tumor Suppression, Cancer Discov., 13, 1696, 10.1158/2159-8290.CD-22-1315 · DOI
  19. Pinto, 2020, XAF1 as a modifier of p53 function and cancer susceptibility, Sci. Adv., 6, 10.1126/sciadv.aba3231 · DOI
  20. Subasri, 2023, Multiple Germline Events Contribute to Cancer Development in Patients with Li-Fraumeni Syndrome, Cancer Res. Commun., 3, 738, 10.1158/2767-9764.CRC-22-0402 · DOI
  21. Penkert, 2022, Genotype-phenotype associations within the Li-Fraumeni spectrum: a report from the German Registry, J. Hematol. Oncol., 15, 107, 10.1186/s13045-022-01332-1 · DOI
  22. Landrum, 2016, ClinVar: public archive of interpretations of clinically relevant variants, Nucleic Acids Res., 44, D862, 10.1093/nar/gkv1222 · DOI · Paper page
  23. Tate, 2019, COSMIC: the Catalogue Of Somatic Mutations In Cancer, Nucleic Acids Res., 47, D941, 10.1093/nar/gky1015 · DOI · Paper page
  24. Gudmundsson, 2022, Variant interpretation using population databases: Lessons from gnomAD, Hum. Mutat., 43, 1012, 10.1002/humu.24309 · DOI
  25. Pettersen, 2021, UCSF ChimeraX: Structure visualization for researchers, educators, and developers, Protein Sci., 30, 70, 10.1002/pro.3943 · DOI
  26. Chen, 2010, Crystal Structure of the p53 Core Domain Bound to a Full Consensus Site as a Self-Assembled Tetramer, Structure, 18, 246, 10.1016/j.str.2009.11.011 · DOI
  27. Jeffrey, 1995, Crystal structure of the tetramerization domain of the p53 tumor suppressor at 1.7 angstroms, Science, 267, 1498, 10.1126/science.7878469 · DOI

Metadata

Authors
Montellier, E., Lemonnier, N., Penkert, J., Freycon, C., Blanchet, S., Amadou, A., Chuffart, F., Fischer, N. W., Achatz, M.-I., Levine, A. J., Goudie, C., Malkin, D., Bougeard, G., Kratz, C. P., & Hainaut, P.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Medizinische Hochschule Hannover (DE)
  • University of Toronto (CA)
  • Hospital Sírio-Libanês (BR)
  • Institute for Advanced Study (US)
  • Montreal Children's Hospital (CA)
  • Inserm (FR)
Corresponding author
Hainaut, Pierre
Venue
iScience
Publisher
Elsevier BV
Published
2024-12
Volume
27
Issue
12
Pages
111296
ISSN
2589-0042 (ISSN-L)
OpenAlex
W4403973465
Cited by
29
References
4
Citations by year
2026: 17 · 2025: 11 · 2024: 1
FWCI
4.97
Type
journal article
Language
en
Open access
Locations
  • iScience (publishedVersion, cc-by-nc-nd)
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc-nd)
  • HAL (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Child Cancer Aid Trust of German Leukemia Research Support Initiative (DKS2024.03)
  • H2020 Marie Skłodowska-Curie Actions (846806)
  • MSDAVENIR
  • ARC Foundation for Cancer Research
  • Terry Fox Research Institute (1081)
  • University Grenoble Alpes
  • Canadian Imperial Bank of Commerce
  • Bundesministerium für Bildung und Forschung (01GM2205A)
  • Cancéropôle Lyon Auvergne-Rhône-Alpes
  • Horizon 2020 Framework Programme
Topics
  • Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
Keywords
Li-Fraumeni syndrome, TP53 germline variants, missense mutations, variant clustering, cancer susceptibility, cancer risk, penetrance, hypomorphic variants, variant pathogenicity, variant interpretation

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