2019
LBA79 Association between tissue TMB (tTMB) and clinical outcomes with pembrolizumab monotherapy (pembro) in PD-L1-positive advanced NSCLC in the KEYNOTE-010 and -042 trials
Herbst R, Lopes G, Kowalski D, Nishio M, Wu Y, de Castro G, Baas P, Kim D, Gubens M, Cristescu R, Aurora-Garg D, Albright A, Ayers M, Loboda A, Lunceford J, Kobie J, Lubiniecki G, Pietanza M, Piperdi B, Mok T. LBA79 Association between tissue TMB (tTMB) and clinical outcomes with pembrolizumab monotherapy (pembro) in PD-L1-positive advanced NSCLC in the KEYNOTE-010 and -042 trials. Annals Of Oncology 2019, 30: v916-v917. DOI: 10.1093/annonc/mdz394.077.Peer-Reviewed Original ResearchBristol-Myers SquibbTissue TMBGenentech/RocheSubsidiary of MerckDohme Corp.KEYNOTE-010KEYNOTE-042PD-L1Merck SeronoBoehringer IngelheimMerck SharpAdvanced NSCLCClinical outcomesEli LillyOno PharmaceuticalCox proportional hazards modelPositive advanced NSCLCResults Baseline characteristicsSubset of ptsOpen-label trialTotal study populationProportional hazards modelRoche/GenentechMultiple tumor typesWhole-exome sequencing
2012
Influence of extracapsular extension on lymph node staging for patients with squamous cell carcinoma of the head and neck.
Baumgart M, Acevedo-Gadea C, Wang Z, Buta E, Davies M, Deshpande H, Decker R, Sasaki C, Judson B, Herbst R, Morgensztern D. Influence of extracapsular extension on lymph node staging for patients with squamous cell carcinoma of the head and neck. Journal Of Clinical Oncology 2012, 30: 5532-5532. DOI: 10.1200/jco.2012.30.15_suppl.5532.Peer-Reviewed Original ResearchPoor prognostic factorSquamous cell carcinomaExtracapsular extensionOral cavityOverall survivalPrognostic factorsCell carcinomaIndependent poor prognostic factorNeck squamous cell carcinomaCox proportional hazards modelSignificant OS differenceSquamous cell cancerProportional hazards modelPrognostic impactSurveillance EpidemiologyCell cancerPoor outcomeKaplan-MeierECE statusOS differenceAJCC manualEligibility criteriaHazards modelPrimary siteSurvival curves
2009
Classification by Mass Spectrometry Can Accurately and Reliably Predict Outcome in Patients with Non-small Cell Lung Cancer Treated with Erlotinib-Containing Regimen
Salmon S, Chen H, Chen S, Herbst R, Tsao A, Tran H, Sandler A, Billheimer D, Shyr Y, Lee JW, Massion P, Brahmer J, Schiller J, Carbone D, Dang TP. Classification by Mass Spectrometry Can Accurately and Reliably Predict Outcome in Patients with Non-small Cell Lung Cancer Treated with Erlotinib-Containing Regimen. Journal Of Thoracic Oncology 2009, 4: 689-696. PMID: 19404214, PMCID: PMC3563261, DOI: 10.1097/jto.0b013e3181a526b3.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBevacizumabBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesCohort StudiesErlotinib HydrochlorideFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalPleural Effusion, MalignantPrognosisQuinazolinesReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSurvival RateTreatment OutcomeConceptsNon-small cell lung cancerCell lung cancerLung cancerRefractory non-small cell lung cancerPhase I/II studyUnivariate Cox proportional hazards modelProgression-free survival outcomesCox proportional hazards modelOutcomes of patientsCohort of patientsSelection of patientsVascular endothelial growth factorProportional hazards modelEndothelial growth factorReceptor kinase inhibitorEpidermal growth factor receptorGrowth factor receptorII studyOverall survivalPretreatment serumTreatment cohortsClinical outcomesSurvival outcomesEpidermal growth factor receptor kinase inhibitorsSuch therapy