Associated Papers
Integrative Computational Analysis of TP53 Exon 5-6 Mutations in Oral Cavity, Prostate, and Breast Cancers in a Senegalese Population.
Mbaye M et al.
Genes, 2026
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
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
Targeted next-generation sequencing of 491 lung cancers in clinical practice: Implications for future detection strategy and targeted therapy.
Liu XD et al.
Heliyon, 2024
38496837 (PubMed )
Supplement: mmc1.xlsx › Sheet1
NF1 loss of function as an alternative initiating event in pancreatic ductal adenocarcinoma.
Ramakrishnan G et al.
Cell Reports, 2022
36351408 (PubMed )
Supplement: NIHMS1848910-supplement-2.xlsx › NF1-TP53-pi16INK4A-Smad4
High prevalence of somatic PIK3CA and TP53 pathogenic variants in the normal mammary gland tissue of sporadic breast cancer patients revealed by duplex sequencing.
Kostecka A et al.
Npj Breast Cancer, 2022
35768433 (PubMed )
Supplement: 41523_2022_443_MOESM9_ESM.xlsx › DuplexSeq_all
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
Prevalence of low-penetrant germline TP53 D49H mutation in Japanese cancer patients.
Yamaguchi K et al.
Biomedical Research (tokyo, Japan), 2016
Predicting the functional impact of protein mutations: application to cancer genomics.
Reva B et al.
Nucleic Acids Research, 2011
21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1
Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations.
Soussi T et al.
Human Mutation, 2005
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