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
Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53.
Fortuno C et al.
Hgg Advances, 2025
40696762 (PubMed )
Supplement: mmc2.xlsx › Supplemental_Table_3
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
Somatic mutations in Middle East and North Africa breast cancer patients: a systematic review.
Abujamous L et al.
The Oncologist, 2025
40665690 (PubMed )
Supplement: oyaf205_supplementary_data.zip › SupplementaryTable3.xlsx › SupplementaryTable3
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
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
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
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
Comprehensive Identification of Deleterious TP53 Missense VUS Variants Based on Their Impact on TP53 Structural Stability.
Tam B et al.
International Journal of Molecular Sciences, 2021
34768775 (PubMed )
Supplement: ijms-22-11345-s001.zip › Supplementary_table › Supplementary_table_1.xlsx › Sheet1
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
Laying the foundation for genomically-based risk assessment in chronic myeloid leukemia.
Branford S et al.
Leukemia, 2019
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
Landscape of somatic mutations in 560 breast cancer whole-genome sequences.
Nik-Zainal S et al.
Nature, 2016
27135926 (PubMed )
Supplement: NIHMS68344-supplement-Supplementary_Tables_1-21.zip › nature17676-s3 › Supplementary_Table_14.Driver.Events.By.Mutation.Type.01052015.v2.xlsx › Subs.indels
Mapping the structural and dynamical features of multiple p53 DNA binding domains: insights into loop 1 intrinsic dynamics.
Lukman S et al.
Plos One, 2013
TP53 genetic alterations in Arab breast cancer patients: Novel mutations, pattern and distribution.
Al-Qasem AJ et al.
Oncology Letters, 2011
Analysis of p53 and Bak gene mutations in lymphoproliferative disorders developing in rheumatoid arthritis.
Xu JX et al.
Journal of Cancer Research and Clinical Oncology, 2007
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