2022
Maximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC)
Atkins MB, Abu-Sbeih H, Ascierto PA, Bishop MR, Chen DS, Dhodapkar M, Emens LA, Ernstoff MS, Ferris RL, Greten TF, Gulley JL, Herbst RS, Humphrey RW, Larkin J, Margolin KA, Mazzarella L, Ramalingam SS, Regan MM, Rini BI, Sznol M. Maximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC). Journal For ImmunoTherapy Of Cancer 2022, 10: e005413. PMID: 36175037, PMCID: PMC9528604, DOI: 10.1136/jitc-2022-005413.Peer-Reviewed Original ResearchConceptsPhase III trialsImmunotherapy of cancerIII trialsCurative responseImmune checkpoint inhibitor monotherapyCell death protein 1Checkpoint inhibitor monotherapyDefinitive predictive biomarkersDurable clinical benefitProgression-free survivalMinority of patientsDeath protein 1Variety of indicationsClinical trial designAnimal tumor modelsLimited Phase IDrug development programsImmunotherapy combinationsInvestigational chemotherapyImmunotherapy fieldInhibitor monotherapyOverall survivalDismal prognosisClinical benefitSurvival outcomes
2019
The Combination of MEK Inhibitor With Immunomodulatory Antibodies Targeting Programmed Death 1 and Programmed Death Ligand 1 Results in Prolonged Survival in Kras/p53-Driven Lung Cancer
Lee JW, Zhang Y, Eoh KJ, Sharma R, Sanmamed MF, Wu J, Choi J, Park HS, Iwasaki A, Kaftan E, Chen L, Papadimitrakopoulou V, Herbst RS, Koo JS. The Combination of MEK Inhibitor With Immunomodulatory Antibodies Targeting Programmed Death 1 and Programmed Death Ligand 1 Results in Prolonged Survival in Kras/p53-Driven Lung Cancer. Journal Of Thoracic Oncology 2019, 14: 1046-1060. PMID: 30771521, PMCID: PMC6542636, DOI: 10.1016/j.jtho.2019.02.004.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma of LungAnimalsAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenDrug SynergismFemaleLung NeoplasmsMAP Kinase Kinase KinasesMiceMice, KnockoutMice, TransgenicMyeloid-Derived Suppressor CellsProgrammed Cell Death 1 ReceptorProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)PyridonesPyrimidinonesSurvival AnalysisTumor Suppressor Protein p53ConceptsImmune cell populationsLung tumorsMEK inhibitorsDeath-1Survival outcomesLung cancerL1 mAbsTumor-infiltrating immune cell populationsTumor-infiltrating immune cellsCell death ligand 1Flow cytometryLung cancer mouse modelAdenoviral Cre recombinaseAutochthonous lung tumorsImmunomodulatory monoclonal antibodiesTumor-infiltrating CD8PD-L1 expressionSingle-agent therapyTumor-bearing lungsDeath ligand 1Tumor-free miceLung cancer modelCombinatorial antitumor effectCancer mouse modelCell populations
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