Associated Papers
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3
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
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM12_ESM.xlsx › Fig7b_d
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
Direct measurement of engineered cancer mutations and their transcriptional phenotypes in single cells.
Kim HS et al.
Nature Biotechnology, 2024
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
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_S4
Somatic mutation distribution across tumour cohorts provides a signal for positive selection in cancer.
Boström M et al.
Nature Communications, 2022
36396655 (PubMed )
Supplement: 41467_2022_34746_MOESM10_ESM.xlsx › Supplementary_Data_7
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › TP53
Identification of relevant genetic alterations in cancer using topological data analysis.
Rabadán R et al.
Nature Communications, 2020
32732999 (PubMed )
Supplement: 41467_2020_17659_MOESM3_ESM.xls › TableS1
Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.
Dong X et al.
Communications Biology, 2020
31925297 (PubMed )
Supplement: 42003_2019_736_MOESM3_ESM.xlsx › Sheet1
Immunogenicity and Immune Silence in Human Cancer.
Yarmarkovich M et al.
Frontiers in Immunology, 2020
32256484 (PubMed )
Supplement: Table_4.XLSX › TCGA_HLAs_and_mutations
appreci8: a pipeline for precise variant calling integrating 8 tools.
Sandmann S et al.
Bioinformatics (oxford, England), 2018
29945233 (PubMed )
Supplement: bty518_supplementary_data_s10.xlsx › TN_Mutations_Filter_1
Transitions at CpG dinucleotides, geographic clustering of TP53 mutations and food availability patterns in colorectal cancer.
Verginelli F et al.
Plos One, 2009
19718455 (PubMed )
Supplement: pone.0006824.s006.xls › CRC-mutation_database
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