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
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
Landscape of somatic alterations in large-scale solid tumors from an Asian population.
Wu L et al.
Nature Communications, 2022
35871175 (PubMed )
Supplement: 41467_2022_31780_MOESM6_ESM.xlsx › Supplementary_Data_4
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
Influence of TP53 Mutation on Survival of Diffuse Large B-Cell Lymphoma in the CAR T-Cell Era.
Porpaczy E et al.
Cancers, 2021
PD-L1 targeting and subclonal immune escape mediated by PD-L1 mutations in metastatic colorectal cancer.
Stein A et al.
Journal for Immunotherapy of Cancer, 2021
34315821 (PubMed )
Supplement: jitc-2021-002844supp002.xlsx › Supplementary_Table_S3
Canine osteosarcoma genome sequencing identifies recurrent mutations in DMD and the histone methyltransferase gene SETD2.
Gardner HL et al.
Communications Biology, 2019
31341965 (PubMed )
Supplement: 42003_2019_487_MOESM10_ESM.xlsx › Primary_Tumor
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
Discrepancies in cancer genomic sequencing highlight opportunities for driver mutation discovery.
Hudson AM et al.
Cancer Research, 2014
Specific mutation screening of TP53 gene by low-density DNA microarray.
Rangel-López A et al.
Nanotechnology, Science and Applications, 2009
Alterations in the SMARCB1 (INI1) tumor suppressor gene in familial schwannomatosis.
Boyd C et al.
Clinical Genetics, 2008
Colorimetric approach to high-throughput mutation analysis.
Benoit NE et al.
Biotechniques, 2005
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