Associated Papers
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
T cell receptor-engineered T cells targeting the TP53R248Q neoantigen elicit antitumor effects in human cancer models.
Shen L et al.
The Journal of Clinical Investigation, 2026
Somatic mutation and selection at population scale.
Lawson ARJ et al.
Nature, 2025
High-throughput evaluation of genetic variants with prime editing sensor libraries.
Gould SI et al.
Nature Biotechnology, 2025
TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.
Fischer NW et al.
Nature Communications, 2025
In Silico Screening, Molecular Dynamics Simulation and Binding Free Energy Identify Single-Point Mutations That Destabilize p53 and Reduce Binding to DNA.
Islam SM et al.
Proteins, 2025
Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.
Funk JS et al.
Nature Genetics, 2025
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
STmut: a framework for visualizing somatic alterations in spatial transcriptomics data of cancer.
Chen L et al.
Genome Biology, 2023
ATM deficiency confers specific therapeutic vulnerabilities in bladder cancer.
Zhou Y et al.
Science Advances, 2023
TP53 mutation prevalence in normal airway epithelium as a biomarker for lung cancer risk.
Craig DJ et al.
Bmc Cancer, 2023
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
RNA-SSNV: A Reliable Somatic Single Nucleotide Variant Identification Framework for Bulk RNA-Seq Data.
Long Q 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
Characteristics of Li-Fraumeni Syndrome in Japan; A Review Study by the Special Committee of JSHT.
Funato M et al.
Cancer Science, 2021
Genomic Signature of Oral Squamous Cell Carcinomas from Non-Smoking Non-Drinking Patients.
Koo K et al.
Cancers, 2021
Clinical implications of plasma circulating tumor DNA in gynecologic cancer patients.
Charo LM et al.
Molecular Oncology, 2021
Identification of relevant genetic alterations in cancer using topological data analysis.
Rabadán R et al.
Nature Communications, 2020
A model combining clinical and genomic factors to predict response to PD-1/PD-L1 blockade in advanced urothelial carcinoma.
Nassar AH et al.
British Journal of Cancer, 2020
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
Analytical Validation of a Hybrid Capture-Based Next-Generation Sequencing Clinical Assay for Genomic Profiling of Cell-Free Circulating Tumor DNA.
Clark TA et al.
The Journal of Molecular Diagnostics : Jmd, 2018
Circulating Cell-Free Tumor DNA Analysis of 50 Genes by Next-Generation Sequencing in the Prospective MOSCATO Trial.
Jovelet C et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2016
Comprehensive genomic profiling of 295 cases of clinically advanced urothelial carcinoma of the urinary bladder reveals a high frequency of clinically relevant genomic alterations.
Ross JS et al.
Cancer, 2016
MAC: identifying and correcting annotation for multi-nucleotide variations.
Wei L et al.
Bmc Genomics, 2015
PIK3CA mutations in non-small cell lung cancer (NSCLC): genetic heterogeneity, prognostic impact and incidence of prior malignancies.
Scheffler M et al.
Oncotarget, 2015
Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.
Holehouse AS et al.
Plos One, 2015
ESR1 ligand-binding domain mutations in hormone-resistant breast cancer.
Toy W et al.
Nature Genetics, 2013
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
Predicting the functional impact of protein mutations: application to cancer genomics.
Reva B et al.
Nucleic Acids Research, 2011
Number of somatic mutations in the mitochondrial D-loop region indicates poor prognosis in breast cancer, independent of TP53 mutation.
Kuo SJ et al.
Cancer Genetics and Cytogenetics, 2010
The spectrum of p53 mutations in colorectal adenomas differs from that in colorectal carcinomas.
Hao XP et al.
Gut, 2002
The effect of mutations on peptide models of the DNA binding helix of p53: evidence for a correlation between structure and tumorigenesis.
Trulson JA et al.
Biopolymers, 1999