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
A targeted next-generation sequencing panel for identification of clinically relevant mutation profiles in solid tumours.
Das K et al.
Scientific Reports, 2025
40593313 (PubMed )
Supplement: 41598_2025_8039_MOESM1_ESM.xlsx › Supplementary_Table_S7
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
Ultrasensitive profiling of UV-induced mutations identifies thousands of subclinical facial tumors in tuberous sclerosis complex.
Klonowska K et al.
The Journal of Clinical Investigation, 2022
35358092 (PubMed )
Supplement: jci-132-155858-s185.xlsx › Supplemental_Table_2.2.
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
Molecular Barcode Sequencing for Highly Sensitive Detection of Circulating Tumor DNA in Patients with Esophageal Squamous Cell Carcinoma.
Hagi T et al.
Oncology, 2020
Nucleotide variations of TP53 exon 4 found in intracranial meningioma and in silico prediction of their significance.
Bukovac A et al.
Molecular and Clinical Oncology, 2019
Targeted deep sequencing from multiple sources demonstrates increased NOTCH1 alterations in lung cancer patient plasma.
Liao Y et al.
Cancer Medicine, 2019
31369215 (PubMed )
Supplement: CAM4-8-5673-s008.xlsx › Supplementary_Table_S5
Intratumor heterogeneity comparison among different subtypes of non-small-cell lung cancer through multi-region tissue and matched ctDNA sequencing.
Zhang Y et al.
Molecular Cancer, 2019
30626401 (PubMed )
Supplement: 12943_2019_939_MOESM10_ESM.xlsx › Dataset_2
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