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
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
Synchronous papillary and follicular thyroid carcinomas: the first retrospective cohort study and literature review.
Ye WD et al.
Translational Cancer Research, 2024
Histological and Genetic Diversity in Ovarian Mucinous Carcinomas: A Pilot Study.
Razia S et al.
Current Oncology (toronto, Ont.), 2023
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
Sustained complete response to first-line immunochemotherapy for highly aggressive TP53/MDM2-mutated upper tract urothelial carcinoma with ERBB2 mutations, luminal immune-infiltrated contexture, and non-mesenchymal state: a case report and literature review.
Xu T et al.
Frontiers in Oncology, 2023
The Mutational Landscape of Cancer's Vulnerability to Ionizing Radiation.
Gopal P et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2022
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
Spatially interacting phosphorylation sites and mutations in cancer.
Huang KL et al.
Nature Communications, 2021
Driver Mutations in Normal Airway Epithelium Elucidate Spatiotemporal Resolution of Lung Cancer.
Kadara H et al.
American Journal of Respiratory and Critical Care Medicine, 2019
DNA-Repair Gene Mutations Are Highly Prevalent in Circulating Tumour DNA from Multiple Myeloma Patients.
Mithraprabhu S et al.
Cancers, 2019
Mutational processes shape the landscape of TP53 mutations in human cancer.
Giacomelli AO et al.
Nature Genetics, 2018
Clonal architectures and driver mutations in metastatic melanomas.
Ding L et al.
Plos One, 2014
Integrated genomic analyses of ovarian carcinoma.
Unknown Author
Nature, 2011