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
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
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
STmut: a framework for visualizing somatic alterations in spatial transcriptomics data of cancer.
Chen L et al.
Genome Biology, 2023
38037084 (PubMed )
Supplement: 13059_2023_3121_MOESM1_ESM.xlsx › Sheet1
Evaluating the prognostic significance of p53 and TP53 mutations in HPV-negative hypopharyngeal carcinoma patients: a 5-year follow-up retrospective study.
Huang Q et al.
Bmc Cancer, 2023
Diverse rescue potencies of p53 mutations to ATO are predetermined by intrinsic mutational properties.
Song H et al.
Science Translational Medicine, 2023
Molecular Divergence upon EGFR-TKI Resistance Could Be Dependent on the Exon Location of the Original EGFR-Sensitizing Mutation.
Serna-Blasco R et al.
Cancers, 2022
36139605 (PubMed )
Supplement: cancers-14-04446-s001.zip › Supplemental_data_S4.xlsx › variants_datasheet
Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.
Guindalini RSC et al.
Scientific Reports, 2022
35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1
Proposal and validation of a method to classify genetic subtypes of diffuse large B cell lymphoma.
Pedrosa L et al.
Scientific Reports, 2021
33479306 (PubMed )
Supplement: 41598_2020_80376_MOESM1_ESM.xlsx › Table_S2._Mutational_data
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
Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.
Holehouse AS et al.
Plos One, 2015
26659599 (PubMed )
Supplement: pone.0144692.s002.xlsx › suppTable_2.txt
ESR1 ligand-binding domain mutations in hormone-resistant breast cancer.
Toy W et al.
Nature Genetics, 2013
24185512 (PubMed )
Supplement: NIHMS531250-supplement-2.xlsx › All_samples_N_36_
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
Isolation of temperature-sensitive p53 mutations from a comprehensive missense mutation library.
Shiraishi K et al.
The Journal of Biological Chemistry, 2004
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