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
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
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
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
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
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
The molecular profile in patients with polycythemia vera and essential thrombocythemia is dynamic and correlates with disease's phenotype.
Sobieralski P et al.
Frontiers in Oncology, 2023
37671053 (PubMed )
Supplement: Table_1.xlsx › ST1
Fecal gene detection based on next generation sequencing for colorectal cancer diagnosis.
He SY et al.
World Journal of Gastroenterology, 2022
Identification of relevant genetic alterations in cancer using topological data analysis.
Rabadán R et al.
Nature Communications, 2020
32732999 (PubMed )
Supplement: 41467_2020_17659_MOESM3_ESM.xls › TableS1
Hotspot Mutations Detectable by Next-generation Sequencing in Exhaled Breath Condensates from Patients with Lung Cancer.
Youssef O et al.
Anticancer Research, 2018
Presence of cancer-associated mutations in exhaled breath condensates of healthy individuals by next generation sequencing.
Youssef O et al.
Oncotarget, 2017
Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces.
Engin HB et al.
Plos One, 2016
27043210 (PubMed )
Supplement: pone.0152929.s003.xlsx › mut_effects_per_ppi
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
In vitro evolution of thermostable p53 variants.
Matsumura I et al.
Protein Science : a Publication of the Protein Society, 1999
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