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
CDKN2A homozygous deletions and TSC2 somatic mutations in metastatic pancreatic neuroendocrine tumors.
Jesus TT et al.
Npj Precision Oncology, 2025
41350422 (PubMed )
Supplement: 41698_2025_1210_MOESM1_ESM.pdf
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-throughput evaluation of genetic variants with prime editing sensor libraries.
Gould SI et al.
Nature Biotechnology, 2025
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM7_ESM.xlsx › Sheet1
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
Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort.
Pipek O et al.
International Journal of Molecular Sciences, 2023
37239898 (PubMed )
Supplement: ijms-24-08553-s001.zip › Supp_Fig_1_new.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
Molecular Divergence upon EGFR-TKI Resistance Could Be Dependent on the Exon Location of the Original EGFR-Sensitizing Mutation.
Serna-Blasco R et al.
Cancers, 2022
36139605 (PubMed )
Supplement: cancers-14-04446-s001.zip › Supplemental_data_S4.xlsx › variants_datasheet
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
Clinicopathological and molecular characteristics of patients with hypermutant lung cancer: A retrospective cohort study.
Zhang H et al.
Oncology Letters, 2021
33692861 (PubMed )
Supplement: Supplementary_Data.pdf
Comprehensive Study of Germline Mutations and Double-Hit Events in Esophageal Squamous Cell Cancer.
Zeng B et al.
Frontiers in Oncology, 2021
33889545 (PubMed )
Supplement: Table_6.xlsx › Sheet1
Distribution of somatic mutations of cancer-related genes according to microsatellite instability status in Korean gastric cancer.
Park J et al.
Medicine, 2017
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