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_MOESM3_ESM.xlsx › Table_S3
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
TP53 missense mutation reveals gain-of-function properties in small-sized KRAS transformed pancreatic ductal adenocarcinoma.
Zhou Y et al.
Journal of Translational Medicine, 2023
38037073 (PubMed )
Supplement: 12967_2023_4742_MOESM3_ESM.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_S1
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
Comparison of BRCA versus non-BRCA germline mutations and associated somatic mutation profiles in patients with unselected breast cancer.
Chen B et al.
Aging, 2020
32091409 (PubMed )
Supplement: aging-12-102783-s001..xlsx › Sheet1
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark
TP53 exon-6 truncating mutations produce separation of function isoforms with pro-tumorigenic functions.
Shirole NH et al.
Elife, 2016
27759562 (PubMed )
Supplement: elife-17929-supp2.xlsx › Sheet3
Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.
Chen Z et al.
Plos One, 2008
19005564 (PubMed )
Supplement: pone.0003714.s006.xls › Table_S-4
NGS-based profiling of key cancer genes in Indian triple-negative breast cancer patients reinforces molecular heterogeneity of the disease.
Sahasrabuddhe NA et al.
Indian Journal of Cancer, 0
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