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
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
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
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53
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
Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.
Khalil SS et al.
Cureus, 2024
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
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.
Munté E et al.
Bioinformatics (oxford, England), 2023
36916756 (PubMed )
Supplement: btad128_supplementary_data.zip › btad128_Supplementary_Data › Supplementary_tables10022023.xlsx › ST15-PS1_PM5_hypothethical_vars
The Broad Spectrum of TP53 Mutations in CLL: Evidence of Multiclonality and Novel Mutation Hotspots.
Lazarian G et al.
Human Mutation, 2023
40225169 (PubMed )
Supplement: 4880113.f1.zip › table_S3.xlsx › table_S3
Deep Molecular and In Silico Protein Analysis of p53 Alteration in Myelodysplastic Neoplasia and Acute Myeloid Leukemia.
Madarász K et al.
Cells, 2022
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
RUNX1 mutations contribute to the progression of MDS due to disruption of antitumor cellular defense: a study on patients with lower-risk MDS.
Kaisrlikova M et al.
Leukemia, 2022
35505182 (PubMed )
Supplement: 41375_2022_1584_MOESM2_ESM.xlsx › Mutations_214_LR-MDS
Ultrasensitive profiling of UV-induced mutations identifies thousands of subclinical facial tumors in tuberous sclerosis complex.
Klonowska K et al.
The Journal of Clinical Investigation, 2022
35358092 (PubMed )
Supplement: jci-132-155858-s188.xlsx › Supplemental_Table_5.1.
Twists and turns from "tumor in tumor" profiling: surveillance of chronic lymphocytic leukemia (CLL) leads to detection of a lung adenocarcinoma, whose genomic characterization alters the original hematologic diagnosis.
Terraf P et al.
Cold Spring Harbor Molecular Case Studies, 2021
Mutant p53 suppresses innate immune signaling to promote tumorigenesis.
Ghosh M et al.
Cancer Cell, 2021
Transitioning the Molecular Tumor Board from Proof of Concept to Clinical Routine: A German Single-Center Analysis.
Hoefflin R et al.
Cancers, 2021
33800365 (PubMed )
Supplement: cancers-13-01151-s001.zip › Supplementary_Data_2.xlsx › Cosmic_Annotated_Mutations
Blood-Based Next-Generation Sequencing Analysis of Appendiceal Cancers.
Shaib WL et al.
The Oncologist, 2020
Genomic context and TP53 allele frequency define clinical outcomes in TP53-mutated myelodysplastic syndromes.
Montalban-Bravo G et al.
Blood Advances, 2020
The cancer-associated, gain-of-function TP53 variant P152Lp53 activates multiple signaling pathways implicated in tumorigenesis.
Singh S et al.
The Journal of Biological Chemistry, 2019
Clinical Implications of Plasma-Based Genotyping With the Delivery of Personalized Therapy in Metastatic Non-Small Cell Lung Cancer.
Aggarwal C et al.
Jama Oncology, 2019
Tracking tumour evolution in glioma through liquid biopsies of cerebrospinal fluid.
Miller AM et al.
Nature, 2019
30675060 (PubMed )
Supplement: NIHMS1516901-supplement-Sup_Table_5.xlsx › Matched_pair_analysis
Regulators of Oncogenic Mutant TP53 Gain of Function.
Yamamoto S et al.
Cancers, 2018
Fibroblast growth factor receptor 3 (FGFR3) aberrations in muscle-invasive urothelial carcinoma.
Kim YS et al.
Bmc Urology, 2018
30064409 (PubMed )
Supplement: 12894_2018_380_MOESM1_ESM.xlsx › Supplementary_Table_1
Molecular Characterization of Urothelial Carcinoma of the Bladder and Upper Urinary Tract.
Lee JY et al.
Translational Oncology, 2018
29161613 (PubMed )
Supplement: mmc1.xlsx › Supplementary_Table_1
Mutational profiling of brain metastasis from breast cancer: matched pair analysis of targeted sequencing between brain metastasis and primary breast cancer.
Lee JY et al.
Oncotarget, 2015
26527317 (PubMed )
Supplement: oncotarget-06-43731-s002.xlsx › Table_S1
Molecular characterization of patients with pathologic complete response or early failure after neoadjuvant chemotherapy for locally advanced breast cancer using next generation sequencing and nCounter assay.
Park K et al.
Oncotarget, 2015
26009992 (PubMed )
Supplement: oncotarget-06-24499-s002.xlsx › Supplementary_Table_1
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
Comparative sequencing analysis reveals high genomic concordance between matched primary and metastatic colorectal cancer lesions.
Brannon AR et al.
Genome Biology, 2014
25164765 (PubMed )
Supplement: 13059_2014_454_MOESM1_ESM.xlsx › Sheet1
High-throughput sequencing and copy number variation detection using formalin fixed embedded tissue in metastatic gastric cancer.
Kim S et al.
Plos One, 2014
25372287 (PubMed )
Supplement: pone.0111693.s003.xls › ion_ampliseq_cancer_panel_mutat
CanDrA: cancer-specific driver missense mutation annotation with optimized features.
Mao Y et al.
Plos One, 2013
24205039 (PubMed )
Supplement: pone.0077945.s001.xls › Table_S1
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
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