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
A framework for the molecular identification of CHIP for clinical research.
Harraka P et al.
Hgg Advances, 2026
41566785 (PubMed )
Supplement: mmc1.pdf
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
Multiomic single cell sequencing identifies stemlike nature of mixed phenotype acute leukemia.
Peretz CAC et al.
Nature Communications, 2024
39294124 (PubMed )
Supplement: 41467_2024_52317_MOESM15_ESM.xlsx › Sheet2
Somatic mutations in 3929 HPV positive cervical cells associated with infection outcome and HPV type.
Pinheiro M et al.
Nature Communications, 2024
39266536 (PubMed )
Supplement: 41467_2024_51713_MOESM5_ESM.xlsx › Data_2
Systematic review of the molecular basis of hereditary breast and ovarian cancer syndrome in Brazil: the current scenario.
de Freitas Ribeiro AA et al.
European Journal of Medical Research, 2024
38504328 (PubMed )
Supplement: 40001_2024_1767_MOESM1_ESM.xlsx › Other_genes
Blood tumor mutational burden and dynamic changes in circulating tumor DNA predict response to pembrolizumab treatment in advanced non-small cell lung cancer.
Stensgaard S et al.
Translational Lung Cancer Research, 2023
Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification.
Peretz CAC et al.
Biorxiv : the Preprint Server for Biology, 2023
37292835 (PubMed )
Supplement: media-1.pdf
Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification.
Tam B et al.
Iscience, 2023
36879825 (PubMed )
Supplement: mmc2.xlsx › MLH1
Repurposing antiparasitic antimonials to noncovalently rescue temperature-sensitive p53 mutations.
Tang Y et al.
Cell Reports, 2022
Cancer cells escape p53's tumor suppression through ablation of ZDHHC1-mediated p53 palmitoylation.
Tang J et al.
Oncogene, 2021
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
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
TP53 mutations in human cancer: database reassessment and prospects for the next decade.
Leroy B et al.
Human Mutation, 2014
24665023 (PubMed )
Supplement: supplement_1.pdf
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
Transitions at CpG dinucleotides, geographic clustering of TP53 mutations and food availability patterns in colorectal cancer.
Verginelli F et al.
Plos One, 2009
19718455 (PubMed )
Supplement: pone.0006824.s006.xls › CRC-mutation_database
The screening of the second-site suppressor mutations of the common p53 mutants.
Otsuka K et al.
International Journal of Cancer, 2007
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