Associated Papers
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
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
The complexity of tobacco smoke-induced mutagenesis in head and neck cancer.
Torrens L et al.
Nature Genetics, 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
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
The TP53-activated E3 ligase RNF144B is a tumour suppressor that prevents genomic instability.
Abad E et al.
Journal of Experimental & Clinical Cancer Research : Cr, 2024
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
Assessments of TP53 and CTNNB1 gene hotspot mutations in circulating tumour DNA of hepatitis B virus-induced hepatocellular carcinoma.
Kumar S et al.
Frontiers in Genetics, 2023
Somatic mutation distribution across tumour cohorts provides a signal for positive selection in cancer.
Boström M et al.
Nature Communications, 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
Pancreatic Cancer-Related Mutational Burden Is Not Increased in a Patient Cohort With Clinically Severe Chronic Pancreatitis.
Cowan RW et al.
Clinical and Translational Gastroenterology, 2021
Landscape of somatic mutations in breast cancer: new opportunities for targeted therapies in Saudi Arabian patients.
Barakeh DH et al.
Oncotarget, 2021
Identification of relevant genetic alterations in cancer using topological data analysis.
Rabadán R et al.
Nature Communications, 2020
TP53 Mutation Analysis in Gastric Cancer and Clinical Outcomes of Patients with Metastatic Disease Treated with Ramucirumab/Paclitaxel or Standard Chemotherapy.
Graziano F et al.
Cancers, 2020
Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.
Dong X et al.
Communications Biology, 2020
Genomic Analysis Reveals Novel Specific Metastatic Mutations in Chinese Clear Cell Renal Cell Carcinoma.
Meng H et al.
Biomed Research International, 2020
Finding driver mutations in cancer: Elucidating the role of background mutational processes.
Brown AL et al.
Plos Computational Biology, 2019
Germ-line and somatic EPHA2 coding variants in lens aging and cataract.
Bennett TM et al.
Plos One, 2017
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
Clinical and molecular analysis of combined hepatocellular-cholangiocarcinomas.
Cazals-Hatem D et al.
Journal of Hepatology, 2004