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
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
Mutation patterns in colorectal cancer and their relationship with prognosis.
Su Z et al.
Heliyon, 2024
39263143 (PubMed )
Supplement: mmc1.xlsx › Tabelle1
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53
Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma.
Dolgalev I et al.
Nature Communications, 2023
37938580 (PubMed )
Supplement: 41467_2023_42327_MOESM7_ESM.xlsx › snvs
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
Editorial: Structural understanding of the functional consequences of missense mutation.
Tian J et al.
Frontiers in Genetics, 2023
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
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table2.xlsx › TP53
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_3.xlsx › Sheet1
A genetically defined signature of responsiveness to erlotinib in early-stage pancreatic cancer patients: Results from the CONKO-005 trial.
Hoyer K et al.
Ebiomedicine, 2021
33862582 (PubMed )
Supplement: mmc3.xlsx › S5
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
Tumor Sequencing and Patient-Derived Xenografts in the Neoadjuvant Treatment of Breast Cancer.
Goetz MP et al.
Journal of the National Cancer Institute, 2017
28376176 (PubMed )
Supplement: djw306_Supp.zip › 16-0785R2_Goetz_Supplementary_Tables_3-6_111716.xlsx › Suppl_Table_5k
Patients with genetically heterogeneous synchronous colorectal cancer carry rare damaging germline mutations in immune-related genes.
Cereda M et al.
Nature Communications, 2016
27377421 (PubMed )
Supplement: ncomms12072-s2.xlsx › S12T1
Molecular genetic and cytogenetic analysis of a primary cutaneous CD8-positive aggressive epidermotropic cytotoxic T-cell lymphoma.
Kato K et al.
International Journal of Hematology, 2016
Inactivation of TP53 correlates with disease progression and low miR-34a expression in previously treated chronic lymphocytic leukemia patients.
Dufour A et al.
Blood, 2013
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