Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
Kim K, Hu W, Audenet F, Almassi N, Hanrahan AJ, Murray K, Bagrodia A, Wong N, Clinton TN, Dason S, Mohan V, Jebiwott S, Nagar K, Gao J, Penson A, Hughes C, Gordon B, Chen Z, Dong Y, Watson PA, Alvim R, Elzein A, Gao SP, Cocco E, Santin AD, Ostrovnaya I, Hsieh JJ, Sagi I, Pietzak EJ, Hakimi AA, Rosenberg JE, Iyer G, Vargas HA, Scaltriti M, Al-Ahmadie H, Solit DB, Coleman JA. Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts. Nature Communications 2020, 11: 1975. PMID: 32332851, PMCID: PMC7181640, DOI: 10.1038/s41467-020-15885-7.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnimalsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBiopsyCamptothecinCarcinoma, Transitional CellFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic VariationHigh-Throughput Nucleotide SequencingHumansImmunoconjugatesInterleukin Receptor Common gamma SubunitMaleMiceMice, Inbred NODMice, SCIDMiddle AgedMutationNeoplasm MetastasisNeoplasm TransplantationPhenotypePrecision MedicineProspective StudiesQuinolinesRetrospective StudiesSequence Analysis, RNATrastuzumabUrinary Bladder NeoplasmsUrotheliumConceptsUpper tract urothelial carcinomaUrothelial carcinomaCorresponding patient tumorsEstablishment of patientHigh genomic concordancePersonalized medicine strategiesHER2 kinase inhibitorDisease-specific modelsUTUC patientsCell line modelsPDX modelsBladder cancerTreatment paradigmGenomic concordanceInvasive tumorsSuperior efficacyPatient tumorsPatientsKinase inhibitorsAntibody drugsMedicine strategiesBiological heterogeneityCarcinomaXenograftsTumors