Associated Papers
Malignant craniopharyngiomas: Institutional experience and literature review.
Auen TJ et al.
Brain Pathology (zurich, Switzerland), 2026
Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.
Montellier E et al.
Ebiomedicine, 2026
Analysis of Concurrent Intracholecystic Papillary Neoplasms and Biliary Intraepithelial Neoplasia Reveals Distinct Histologic and Molecular Profiles.
Malik P et al.
Archives of Pathology & Laboratory Medicine, 2025
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
Genomic mutation and Clinicopathological features of KRAS wild-type tumors in Chinese cohort with pancreatic adenocarcinoma.
Ye L et al.
Genomics, 2025
DNA damage response and repair gene mutations predict clinical outcomes in biliary tract cancer.
Tan S et al.
Cancer, 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
Primary Solid Pseudopapillary Tumor of the Ovary: A Case Report and Review of the Literature.
Lee J et al.
Journal of Clinical Medicine, 2024
Brief Report: Comprehensive Clinicogenomic Profiling of Small Cell Transformation From EGFR-Mutant NSCLC Informs Potential Therapeutic Targets.
Zhang B et al.
Jto Clinical and Research Reports, 2024
Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.
Sasaki K et al.
Scientific Reports, 2023
Clinicopathologic Characteristics and Outcomes for Patients With KRAS G12D-Mutant NSCLC.
Cooper AJ et al.
Jto Clinical and Research Reports, 2022
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen G et al.
Briefings in Bioinformatics, 2022
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
Clinicopathological and molecular characteristics of patients with hypermutant lung cancer: A retrospective cohort study.
Zhang H et al.
Oncology Letters, 2021
Whole-exome mutational landscape of neuroendocrine carcinomas of the gallbladder.
Liu F et al.
Signal Transduction and Targeted Therapy, 2021
Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival.
Zaidi SH et al.
Nature Communications, 2020
Molecular Classification of Gastric Cancer among Alaska Native People.
Martinson HA et al.
Cancers, 2020
Systematic analysis of the intersection of disease mutations with protein modifications.
Simpson CM et al.
Bmc Medical Genomics, 2019
The correlations of tumor mutational burden among single-region tissue, multi-region tissues and blood in non-small cell lung cancer.
Zhang Y et al.
Journal for Immunotherapy of Cancer, 2019
Efficacy of liquid-based genetic diagnosis of endometrial cancer.
Matsuura M et al.
Cancer Science, 2018
Mutational processes shape the landscape of TP53 mutations in human cancer.
Giacomelli AO et al.
Nature Genetics, 2018
Germ-line and somatic EPHA2 coding variants in lens aging and cataract.
Bennett TM et al.
Plos One, 2017
Functional characterization of somatic mutations in cancer using network-based inference of protein activity.
Alvarez MJ et al.
Nature Genetics, 2016
Mutation spectrum of hepatocellular carcinoma from eastern-European patients betrays the impact of a complex exposome.
Tanase AM et al.
Journal of Exposure Science & Environmental Epidemiology, 2015
Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets.
Schulze K et al.
Nature Genetics, 2015
Precise Classification of Cervical Carcinomas Combined with Somatic Mutation Profiling Contributes to Predicting Disease Outcome.
Spaans VM et al.
Plos One, 2015
Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.
Reimand J et al.
Molecular Systems Biology, 2013
Multiparametric molecular characterization of pulmonary sarcomatoid carcinoma reveals a nonrandom amplification of anaplastic lymphoma kinase (ALK) gene.
Pelosi G et al.
Lung Cancer (amsterdam, Netherlands), 2012
Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice.
Sequist LV et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology, 2011
Cutaneous melanoma susceptibility and progression genes.
de Snoo FA et al.
Cancer Letters, 2005
Aberrant nuclear/cytoplasmic localization and gene mutation of beta-catenin in classic pulmonary blastoma: beta-catenin immunostaining is useful for distinguishing between classic pulmonary blastoma and a blastomatoid variant of carcinosarcoma.
Nakatani Y et al.
The American Journal of Surgical Pathology, 2004
Distinct sets of gene alterations in endometrial carcinoma implicate alternate modes of tumorigenesis.
Koul A et al.
Cancer, 2002
Stabilization of beta-catenin by genetic defects in melanoma cell lines.
Rubinfeld B et al.
Science (new York, N.y.), 1997
Utility of multimodality molecular profiling for pediatric patients with central nervous system tumors.
Rajappa P et al.
Neuro-oncology Advances, 0