Associated Papers
Evaluation of non-canonical p53 functions in DNA replication and recombination for variant classification.
Jansche R et al.
Cell Death & Disease, 2026
Correlation analysis of TP53 missense mutations and p53 protein expression patterns in endometrial carcinoma.
Yang Y et al.
Human Pathology, 2026
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.
Ahmad RM et al.
Briefings in Bioinformatics, 2025
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
Somatic mutations in Middle East and North Africa breast cancer patients: a systematic review.
Abujamous L et al.
The Oncologist, 2025
Dermatomyositis-like skin eruptions under hydroxyurea therapy conceal TP53-mutated atypical keratinocytes: A histopathologic and molecular pathologic case series.
Pruessmann W et al.
Journal of Cutaneous Pathology, 2024
Somatic mutations in 3929 HPV positive cervical cells associated with infection outcome and HPV type.
Pinheiro M et al.
Nature Communications, 2024
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
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
TP53 germline pathogenic variants in modern humans were likely originated during recent human history.
Kou SH et al.
Nar Cancer, 2023
Differential prognosis of single and multiple TP53 abnormalities in high-count MBL and untreated CLL.
Griffin R et al.
Blood Advances, 2023
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
Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification.
Tam B et al.
Iscience, 2023
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
Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.
Keskin Karakoyun H et al.
Frontiers in Genetics, 2023
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
Comprehensive Identification of Deleterious TP53 Missense VUS Variants Based on Their Impact on TP53 Structural Stability.
Tam B et al.
International Journal of Molecular Sciences, 2021
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Chemotherapy and mismatch repair deficiency cooperate to fuel TP53 mutagenesis and ALL relapse.
Yang F et al.
Nature Cancer, 2021
Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.
Doffe F et al.
Cell Death and Differentiation, 2021
Transitioning the Molecular Tumor Board from Proof of Concept to Clinical Routine: A German Single-Center Analysis.
Hoefflin R et al.
Cancers, 2021
Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants.
Fortuno C et al.
Human Mutation, 2021
Impact of the generation of EGFR-TKIs administered as prior therapy on the efficacy of osimertinib in patients with non-small cell lung cancer harboring EGFR T790M mutation.
Miyashita Y et al.
Thoracic Cancer, 2021
Clinical relevance of somatic mutations in main driver genes detected in gastric cancer patients by next-generation DNA sequencing.
Nemtsova MV et al.
Scientific Reports, 2020
From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.
Quinn EA et al.
Cold Spring Harbor Molecular Case Studies, 2019
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.
de Andrade KC et al.
Human Mutation, 2019
Anaplastic Variant of Diffuse Large B-cell Lymphoma Displays Intricate Genetic Alterations and Distinct Biological Features.
Li M et al.
The American Journal of Surgical Pathology, 2017
Mutational landscape reflects the biological continuum of plasma cell dyscrasias.
Rossi A et al.
Blood Cancer Journal, 2017
TP53 mutations in human cancer: database reassessment and prospects for the next decade.
Leroy B et al.
Human Mutation, 2014
Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.
Chen Z et al.
Plos One, 2008
Germline E-cadherin mutations in hereditary diffuse gastric cancer: assessment of 42 new families and review of genetic screening criteria.
Brooks-Wilson AR et al.
Journal of Medical Genetics, 2004
Genetic screening for familial gastric cancer.
Oliveira C et al.
Hereditary Cancer in Clinical Practice, 2004