2023
Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images
Wang S, Rong R, Zhou Q, Yang D, Zhang X, Zhan X, Bishop J, Chi Z, Wilhelm C, Zhang S, Pickering C, Kris M, Minna J, Xie Y, Xiao G. Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images. Nature Communications 2023, 14: 7872. PMID: 38081823, PMCID: PMC10713592, DOI: 10.1038/s41467-023-43172-8.Peer-Reviewed Original Research
2021
Lung Cancer Models Reveal Severe Acute Respiratory Syndrome Coronavirus 2–Induced Epithelial-to-Mesenchymal Transition Contributes to Coronavirus Disease 2019 Pathophysiology
Stewart CA, Gay CM, Ramkumar K, Cargill KR, Cardnell RJ, Nilsson MB, Heeke S, Park EM, Kundu ST, Diao L, Wang Q, Shen L, Xi Y, Zhang B, Della Corte CM, Fan Y, Kundu K, Gao B, Avila K, Pickering CR, Johnson FM, Zhang J, Kadara H, Minna JD, Gibbons DL, Wang J, Heymach JV, Byers LA. Lung Cancer Models Reveal Severe Acute Respiratory Syndrome Coronavirus 2–Induced Epithelial-to-Mesenchymal Transition Contributes to Coronavirus Disease 2019 Pathophysiology. Journal Of Thoracic Oncology 2021, 16: 1821-1839. PMID: 34274504, PMCID: PMC8282443, DOI: 10.1016/j.jtho.2021.07.002.Peer-Reviewed Original ResearchConceptsSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2Syndrome coronavirus 2Coronavirus disease 2019SARS-CoV-2Coronavirus 2Disease 2019Coronavirus disease 2019 pathophysiologyMesenchymal transitionSARS-CoV-2 infectionSARS-CoV-2 pathogenesisSARS-CoV-2 receptorTyrosine kinase inhibitor resistanceEGFR tyrosine kinase inhibitor resistanceRegulation of ZEB1Lung cancer model systemsLung cancer modelKinase inhibitor resistanceCancer cell linesACE2 expressionRegulation of ACE2Respiratory virusesCancer model systemsHealthy patients
2015
Evolutionary Action Score of TP53 Identifies High-Risk Mutations Associated with Decreased Survival and Increased Distant Metastases in Head and Neck Cancer
Neskey DM, Osman AA, Ow TJ, Katsonis P, McDonald T, Hicks SC, Hsu TK, Pickering CR, Ward A, Patel A, Yordy JS, Skinner HD, Giri U, Sano D, Story MD, Beadle BM, El-Naggar AK, Kies MS, William WN, Caulin C, Frederick M, Kimmel M, Myers JN, Lichtarge O. Evolutionary Action Score of TP53 Identifies High-Risk Mutations Associated with Decreased Survival and Increased Distant Metastases in Head and Neck Cancer. Cancer Research 2015, 75: 1527-1536. PMID: 25634208, PMCID: PMC4383697, DOI: 10.1158/0008-5472.can-14-2735.Peer-Reviewed Original ResearchConceptsTP53 mutationsDistant metastasisP53 mutationsNeck squamous cell carcinomaSquamous cell carcinomaPoor survival outcomesAggressive tumor behaviorEvolutionary action scoreHigh-risk mutationsLung metastasesPrognostic significanceSurvival outcomesCell carcinomaNeck cancerClinical prognosisHigh incidenceLower riskTumor behaviorDecreased survivalKey cellular pathwaysTumor cellsMetastasisRisk mutationsPatientsTumors