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
Clinical Practice of Targeted Capture Sequencing to Identify Actionable Alterations in Cholangiocarcinoma.
Ma K et al.
Cancers, 2022
36291846 (PubMed )
Supplement: cancers-14-05062-s001.zip › Supplementary_Tables.xlsx › Table_S3
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
DNA sequence profiles of the colorectal cancer critical gene set KRAS-BRAF-PIK3CA-PTEN-TP53 related to age at disease onset.
Berg M et al.
Plos One, 2010
21103049 (PubMed )
Supplement: pone.0013978.s002.xls › Table_S2
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