Associated Papers
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3
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
Comprehensive Genomic Profiling of Small-Cell Lung Cancer Reveals Frequent Potentially Targetable Alterations.
Schmalz D et al.
International Journal of Molecular Sciences, 2025
41373665 (PubMed )
Supplement: ijms-26-11512-s001.zip › Supplementary_Table_1_revised.xlsx › SNV_indels
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
Variation at the R181 residue of p53 confers loss of p53 DNA binding cooperativity with the retention of mitochondrial-associated apoptosis.
Moses R et al.
Biorxiv : the Preprint Server for Biology, 2025
Transmission ratio distortion of germline TP53 variants in Li-Fraumeni syndrome families.
Halpern N et al.
Cancer, 2025
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM12_ESM.xlsx › Fig7b_d
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
Comparison of TP53 mutations in myelodysplasia and acute leukemia suggests divergent roles in initiation and progression.
Jambhekar A et al.
Blood Neoplasia, 2024
40453522 (PubMed )
Supplement: BNEO_NEO-2023-000115-mmc1.xlsx › AML-MRC
Interaction between myelodysplasia-related gene mutations and ontogeny in acute myeloid leukemia.
McCarter JGW et al.
Blood Advances, 2023
37142255 (PubMed )
Supplement: BLOODA_ADV-2023-009675-mmc1.xlsx › supplemental_Table_2-Mutations
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
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.
Munté E et al.
Bioinformatics (oxford, England), 2023
36916756 (PubMed )
Supplement: btad128_supplementary_data.zip › btad128_Supplementary_Data › Supplementary_tables10022023.xlsx › ST12-TP53
Recurrent missense variants in clonal hematopoiesis-related genes present in the general population.
Ariste O et al.
Clinical Genetics, 2023
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
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
Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.
Doffe F et al.
Cell Death and Differentiation, 2021
33257846 (PubMed )
Supplement: 41418_2020_672_MOESM3_ESM.xlsx › Table_S2c
Analytical validation and performance characteristics of a 48-gene next-generation sequencing panel for detecting potentially actionable genomic alterations in myeloid neoplasms.
Rosenthal SH et al.
Plos One, 2021
33909614 (PubMed )
Supplement: pone.0243683.s002.xlsx › S2
From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.
Quinn EA et al.
Cold Spring Harbor Molecular Case Studies, 2019
30886117 (PubMed )
Supplement: supp_mcs.a003921_Supplemental_Table_1a.xlsx › S_Table1a._TP53_in_ClinVar
Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.
de Andrade KC et al.
Human Mutation, 2019
30352134 (PubMed )
Supplement: supplement_1.xlsx › Supplementary_Table_1
Prevalence and coexistence of KRAS, BRAF, PIK3CA, NRAS, TP53, and APC mutations in Indian colorectal cancer patients: Next-generation sequencing-based cohort study.
Jauhri M et al.
Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine, 2017
Detection of cellular senescence within human invasive breast carcinomas distinguishes different breast tumor subtypes.
Cotarelo CL et al.
Oncotarget, 2016
The structural impact of cancer-associated missense mutations in oncogenes and tumor suppressors.
Stehr H et al.
Molecular Cancer, 2011
21575214 (PubMed )
Supplement: 1476-4598-10-54-S3.XLS › mutations.txt
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