2023
Mismatch repair deficiency, next-generation sequencing-based microsatellite instability, and tumor mutational burden as predictive biomarkers for immune checkpoint inhibitor effectiveness in frontline treatment of advanced stage endometrial cancer
Hill B, Graf R, Shah K, Danziger N, Lin D, Quintanilha J, Li G, Haberberger J, Ross J, Santin A, Slomovitz B, Elvin J, Eskander R. Mismatch repair deficiency, next-generation sequencing-based microsatellite instability, and tumor mutational burden as predictive biomarkers for immune checkpoint inhibitor effectiveness in frontline treatment of advanced stage endometrial cancer. International Journal Of Gynecological Cancer 2023, 33: 504-513. PMID: 36750267, PMCID: PMC10086481, DOI: 10.1136/ijgc-2022-004026.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorColorectal NeoplasmsDNA Mismatch RepairEndometrial NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansImmune Checkpoint InhibitorsMicrosatellite InstabilityConceptsImmune checkpoint inhibitorsAdvanced endometrial cancerTumor mutational burdenAdjusted hazard ratioEndometrial cancerCheckpoint inhibitorsOverall survivalMismatch repair deficiencyFrontline treatmentMicrosatellite instabilityMutational burdenNext treatmentTreatment discontinuationSingle-agent immune checkpoint inhibitorsAdvanced stage endometrial cancerImmune checkpoint inhibitor effectivenessImmune checkpoint inhibitor monotherapyImmune checkpoint inhibitor treatmentCox proportional hazards modelCheckpoint inhibitor monotherapyStage endometrial cancerPhase III trialsRepair deficiencyCheckpoint inhibitor treatmentLog-rank test
2020
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