Associated Papers
Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.
Montellier E et al.
Ebiomedicine, 2026
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
Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53.
Fortuno C et al.
Hgg Advances, 2025
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 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
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
Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma.
Dolgalev I et al.
Nature Communications, 2023
Long-term longitudinal analysis of 4,187 participants reveals new insights into determinants of incident clonal hematopoiesis.
Uddin MM et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 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
Isoforms of the p53 Family and Gastric Cancer: A Ménage à Trois for an Unfinished Affair.
Blanchet A et al.
Cancers, 2021
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
Comparison of plasma to tissue DNA mutations in surgical patients with non-small cell lung cancer.
Chen K et al.
The Journal of Thoracic and Cardiovascular Surgery, 2017
Genomic analyses reveal FAM84B and the NOTCH pathway are associated with the progression of esophageal squamous cell carcinoma.
Cheng C et al.
Gigascience, 2016
Next-Generation Sequencing of Tubal Intraepithelial Carcinomas.
McDaniel AS et al.
Jama Oncology, 2015
Genomic analyses reveal mutational signatures and frequently altered genes in esophageal squamous cell carcinoma.
Zhang L et al.
American Journal of Human Genetics, 2015
Mutational analysis of the p53 core domain L1 loop.
Zupnick A et al.
The Journal of Biological Chemistry, 2006