Associated Papers
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
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
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_MOESM12_ESM.xlsx › Fig7b_d
Case Report: Retroperitoneal dedifferentiated solitary fibrous tumor with unexpected Pax-2 expression, mimicking high grade clear cell renal cell carcinoma.
Wei J et al.
Frontiers in Oncology, 2025
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
Impact of cytotoxic therapy on clonal hematopoiesis and myeloid neoplasms in breast cancer patients.
Kim H et al.
Medicine, 2024
39560556 (PubMed )
Supplement: medi-103-e40540-s001.xlsx › Table_S1
Molecular genetic analysis of colorectal carcinoma with an aggressive extraintestinal immunohistochemical phenotype.
Hrudka J et al.
Scientific Reports, 2024
39333321 (PubMed )
Supplement: 41598_2024_72687_MOESM2_ESM.xlsx › 5
Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.
Khalil SS et al.
Cureus, 2024
BRCA1, BRCA2, and TP53 germline and somatic variants and clinicopathological characteristics of Brazilian patients with epithelial ovarian cancer.
Richau CS et al.
Cancer Medicine, 2024
38308422 (PubMed )
Supplement: CAM4-13-e6729-s006.xlsx › Somatic_DC_VAF_TR
TP53 mutations predict for poor outcomes in patients with newly diagnosed aggressive B-cell lymphomas in the current era.
Landsburg DJ et al.
Blood Advances, 2023
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_S4
Prognostic analysis of extrameningeal solitary fibrous tumor using the modified Demicco model: a clinicopathologic study of 111 Chinese cases.
Yao CC et al.
Frontiers in Oncology, 2023
Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer.
Sivakumar S et al.
Nature Communications, 2022
36470901 (PubMed )
Supplement: 41467_2022_35245_MOESM4_ESM.xlsx › Supplementary_Data_17
Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry.
White JA et al.
Cancer Research Communications, 2022
36922933 (PubMed )
Supplement: crc-22-0136-s01.xlsx › ST3_Known_Somatic_Variants
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › TP53
Validation and clinical application of transactivation assays for RUNX1 variant classification.
Decker M et al.
Blood Advances, 2022
35026845 (PubMed )
Supplement: advancesADV2021006161-suppl1.pdf
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1A._Positive_Set
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
Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options.
Malcikova J et al.
Blood, 2021
33945616 (PubMed )
Supplement: 10.1182-2020009530_bloodbld2020009530-suppl3.xlsx › Table_S13
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
Next-Generation Sequencing-Directed Therapy in Patients with Metastatic Breast Cancer in Routine Clinical Practice.
Bruzas S et al.
Cancers, 2021
34572791 (PubMed )
Supplement: cancers-13-04564-s001.zip › cancers-1336427-supplementary › Supplementary_material › Table_S1_-_Genetic_alterations_identified_by_NGS_in_95_patients_with_metastatic_breast_cancer.xlsx › Table_S1
PD-L1 targeting and subclonal immune escape mediated by PD-L1 mutations in metastatic colorectal cancer.
Stein A et al.
Journal for Immunotherapy of Cancer, 2021
34315821 (PubMed )
Supplement: jitc-2021-002844supp002.xlsx › Supplementary_Table_S3
Spatially interacting phosphorylation sites and mutations in cancer.
Huang KL et al.
Nature Communications, 2021
33875650 (PubMed )
Supplement: 41467_2021_22481_MOESM4_ESM.xlsx › TableS6.RecurrenceClusters
Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes.
Tokutomi N et al.
Plos One, 2021
34424899 (PubMed )
Supplement: pone.0243595.s003.pdf
Malignant transformation and genetic alterations are uncoupled in early colorectal cancer progression.
Mamlouk S et al.
Bmc Biology, 2020
32895052 (PubMed )
Supplement: 12915_2020_844_MOESM3_ESM.xlsx › CRC_Panel_seq.
Somatic Evolution in Non-neoplastic IBD-Affected Colon.
Olafsson S et al.
Cell, 2020
32697969 (PubMed )
Supplement: mmc4.xlsx › A__TCGA_hotspots
Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.
Dong X et al.
Communications Biology, 2020
31925297 (PubMed )
Supplement: 42003_2019_736_MOESM10_ESM.xlsx › Sheet1
Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin.
Woodhouse R et al.
Plos One, 2020
32976510 (PubMed )
Supplement: pone.0237802.s009.zip › Table_9_Accuracy_Short_Variant_Line_Data.xlsx › sheet_1
The Immunogenic Potential of Recurrent Cancer Drug Resistance Mutations: An In Silico Study.
Punta M et al.
Frontiers in Immunology, 2020
33133066 (PubMed )
Supplement: Table_1.xlsx › Drivers-not-HR
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
Emergence and evolution of TP53 mutations are key features of disease progression in myelodysplastic patients with lower-risk del(5q) treated with lenalidomide.
Lodé L et al.
Haematologica, 2018
Single-molecule DNA sequencing of acute myeloid leukemia and myelodysplastic syndromes with multiple TP53 alterations.
Lodé L et al.
Haematologica, 2018
Digital next-generation sequencing identifies low-abundance mutations in pancreatic juice samples collected from the duodenum of patients with pancreatic cancer and intraductal papillary mucinous neoplasms.
Yu J et al.
Gut, 2017
Pan-urologic cancer genomic subtypes that transcend tissue of origin.
Chen F et al.
Nature Communications, 2017
28775315 (PubMed )
Supplement: 41467_2017_289_MOESM7_ESM.xlsx › mutation_data
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