Associated Papers
Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.
Montellier E et al.
Ebiomedicine, 2026
41370968 (PubMed )
Supplement: mmc2.xlsx › Table_S1
A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.
Fortuno C et al.
Genome Medicine, 2025
41126324 (PubMed )
Supplement: 13073_2025_1536_MOESM2_ESM.xlsx › Table_S2
Performance and considerations in the use of diagnostic mutation panels for clonality testing in non-small-cell lung carcinoma.
Janssen J et al.
Esmo Open, 2025
40373350 (PubMed )
Supplement: mmc4.xlsx › 4c_Correctly_classified
Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome.
Montellier E et al.
Iscience, 2024
39634561 (PubMed )
Supplement: mmc2.xlsx › TableS1
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
36964217 (PubMed )
Supplement: 41598_2023_32092_MOESM1_ESM.xlsx › Suppl._table_S1
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set
Spectrum of TP53 Mutations in BRCA1/2 Associated High-Grade Serous Ovarian Cancer.
Boyarskikh UA et al.
Frontiers in Oncology, 2020
32766142 (PubMed )
Supplement: Table_2.XLSX › list_of_TP53_mutations
Clinical Implications of Plasma-Based Genotyping With the Delivery of Personalized Therapy in Metastatic Non-Small Cell Lung Cancer.
Aggarwal C et al.
Jama Oncology, 2019
Impact of genotype and morphology on the prognosis of glioblastoma.
Schmidt MC et al.
Journal of Neuropathology and Experimental Neurology, 2002
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