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
High Frequency of CTNNB1 Variants Associated with Benign and Malignant Liver Tumors in Patients with Congenital Porto-Systemic Shunts.
Tyraskis A et al.
Liver Cancer, 2025
40831883 (PubMed )
Supplement: Supplementary_material-Suppl.1-s1.docx
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
Molecular Characterization of Advanced-Stage Melanomas in Clinical Practice Using a Laboratory-Developed Next-Generation Sequencing Panel.
Maloberti T et al.
Diagnostics (basel, Switzerland), 2024
38667446 (PubMed )
Supplement: diagnostics-14-00800-s001.zip › Supplementary_Table_S1.xlsx › Foglio1
Clinical significance of genetic profiling based on different anatomic sites in patients with mucosal melanoma who received or did not receive immune checkpoint inhibitors.
Wang HY et al.
Cancer Cell International, 2023
37649078 (PubMed )
Supplement: 12935_2023_3032_MOESM2_ESM.pdf
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
Mutational processes shape the landscape of TP53 mutations in human cancer.
Giacomelli AO et al.
Nature Genetics, 2018
30224644 (PubMed )
Supplement: NIHMS1501645-supplement-4.xlsx › Giacomelli_et_al_New_Supplement
Molecular Scoring of Hepatocellular Carcinoma for Predicting Metastatic Recurrence and Requirements of Systemic Chemotherapy.
Nishida N et al.
Cancers, 2018
30274313 (PubMed )
Supplement: cancers-10-00367-s001.zip › Supplementary_Table_S5.xlsx › Supplementary_Table_7.xls
A novel tissue-based ß-catenin gene and immunohistochemical analysis to exclude familial adenomatous polyposis among children with hepatoblastoma tumors.
Dubbink HJ et al.
Pediatric Blood & Cancer, 2018
Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids.
Pan Y et al.
Scientific Reports, 2017
TP53 mutations in human cancer: database reassessment and prospects for the next decade.
Leroy B et al.
Human Mutation, 2014
24665023 (PubMed )
Supplement: supplement_1.pdf
Aurora A mediates cross-talk between N- and C-terminal post-translational modifications of p53.
Warnock LJ et al.
Cancer Biology & Therapy, 2011
Crosstalk between site-specific modifications on p53 and histone H3.
Warnock LJ et al.
Oncogene, 2008
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