2021
Outcomes of Stereotactic Radiosurgery and Immunotherapy in Renal Cell Carcinoma Patients With Brain Metastases
Uezono H, Nam D, Kluger HM, Sznol M, Hurwitz M, Yu JB, Chiang VL. Outcomes of Stereotactic Radiosurgery and Immunotherapy in Renal Cell Carcinoma Patients With Brain Metastases. American Journal Of Clinical Oncology 2021, 44: 495-501. PMID: 34432667, DOI: 10.1097/coc.0000000000000849.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsRCC brain metastasesBrain metastasesRenal cell carcinomaStereotactic radiosurgeryOverall survivalUse of ICIsCentral nervous system toxicityRenal cell carcinoma patientsImpact of immunotherapyLocal control outcomesMedian overall survivalCell carcinoma patientsKaplan-Meier curvesNervous system toxicityBetter median OSLog-rank testMann-Whitney U testMargin doseMedian OSNonimmunotherapy groupSRS doseCheckpoint inhibitorsImmunotherapy groupCarcinoma patientsA Phase I Study of APX005M and Cabiralizumab with or without Nivolumab in Patients with Melanoma, Kidney Cancer, or Non–Small Cell Lung Cancer Resistant to Anti-PD-1/PD-L1
Weiss SA, Djureinovic D, Jessel S, Krykbaeva I, Zhang L, Jilaveanu L, Ralabate A, Johnson B, Levit NS, Anderson G, Zelterman D, Wei W, Mahajan A, Trifan O, Bosenberg M, Kaech SM, Perry CJ, Damsky W, Gettinger S, Sznol M, Hurwitz M, Kluger HM. A Phase I Study of APX005M and Cabiralizumab with or without Nivolumab in Patients with Melanoma, Kidney Cancer, or Non–Small Cell Lung Cancer Resistant to Anti-PD-1/PD-L1. Clinical Cancer Research 2021, 27: 4757-4767. PMID: 34140403, PMCID: PMC9236708, DOI: 10.1158/1078-0432.ccr-21-0903.Peer-Reviewed Original ResearchConceptsAnti-PD-1/PD-L1Non-small cell lung cancerCell lung cancerRenal cell carcinomaPD-L1Lung cancerDisease progressionCommon treatment-related adverse eventsPD-1/PD-L1 inhibitorsTreatment-related adverse eventsPhase 2 doseSubstantial clinical challengeUnconfirmed partial responseDose-limiting toxicityPD-L1 inhibitorsPhase I trialDose-escalation designPro-inflammatory cytokinesMultiple tumor typesAsymptomatic elevationStable diseaseIntolerable toxicityAdverse eventsMedian durationPartial responseAnalysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade
Berry S, Giraldo NA, Green BF, Cottrell TR, Stein JE, Engle EL, Xu H, Ogurtsova A, Roberts C, Wang D, Nguyen P, Zhu Q, Soto-Diaz S, Loyola J, Sander IB, Wong PF, Jessel S, Doyle J, Signer D, Wilton R, Roskes JS, Eminizer M, Park S, Sunshine JC, Jaffee EM, Baras A, De Marzo AM, Topalian SL, Kluger H, Cope L, Lipson EJ, Danilova L, Anders RA, Rimm DL, Pardoll DM, Szalay AS, Taube JM. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade. Science 2021, 372 PMID: 34112666, PMCID: PMC8709533, DOI: 10.1126/science.aba2609.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFluorescent Antibody TechniqueForkhead Transcription FactorsHumansImmune Checkpoint ProteinsMacrophagesMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReceptors, Cell SurfaceSingle-Cell AnalysisSOXE Transcription FactorsT-Lymphocyte SubsetsTreatment OutcomeTumor MicroenvironmentConceptsAnti-programmed cell death 1Anti-PD-1 blockadePD-1 blockadeCell death 1Tissue-based biomarkersLong-term survivalTumor tissue sectionsDeath-1PD-1PD-L1Immunoregulatory moleculesT cellsIndependent cohortMyeloid cellsMelanoma specimensMultiple cell typesTissue sectionsLow/BlockadeCell typesDistinct expression patternsExpression patternsImagingCD8Foxp3Immune adverse events (irAEs) with adjuvant ipilimumab in melanoma, use of immunosuppressants and association with outcome: ECOG-ACRIN E1609 study analysis
Tarhini AA, Kang N, Lee SJ, Hodi FS, Cohen GI, Hamid O, Hutchins LF, Sosman JA, Kluger HM, Eroglu Z, Koon HB, Lawrence DP, Kendra KL, Minor DR, Lee CB, Albertini MR, Flaherty LE, Petrella TM, Streicher H, Sondak VK, Kirkwood JM. Immune adverse events (irAEs) with adjuvant ipilimumab in melanoma, use of immunosuppressants and association with outcome: ECOG-ACRIN E1609 study analysis. Journal For ImmunoTherapy Of Cancer 2021, 9: e002535. PMID: 33963015, PMCID: PMC8108687, DOI: 10.1136/jitc-2021-002535.Peer-Reviewed Original ResearchConceptsImmune-related adverse eventsRelapse-free survivalUse of immunosuppressantsAdjuvant ipilimumabGrade 3Grade 1Significant associationAdverse eventsPrognostic factorsSpecific immune-related adverse eventsTerms of RFSEndocrine immune-related adverse eventsBetter relapse-free survivalHigh-dose corticosteroidsImmune adverse eventsHigh-risk melanomaIndependent prognostic factorOverall survival outcomesDose corticosteroidsImmunosuppressant useRFS benefitsImproved OSBetter prognosisAdjuvant useSurvival outcomesIntratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma
Zhu G, Su H, Johnson CH, Khan SA, Kluger H, Lu L. Intratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma. European Journal Of Cancer 2021, 151: 25-34. PMID: 33962358, PMCID: PMC8184628, DOI: 10.1016/j.ejca.2021.03.053.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBacteriaBacterial LoadBacterial TranslocationChemokinesClostridialesCytotoxicity, ImmunologicFemaleGastrointestinal MicrobiomeHumansLymphocyte CountLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedPrognosisSkin NeoplasmsT-Lymphocytes, CytotoxicTumor MicroenvironmentYoung AdultConceptsT cellsCutaneous melanomaPatient survivalGut microbiomeAdjusted hazard ratioT cell infiltrationChemokine gene expressionChemokine levelsCytotoxic CD8Hazard ratioSystemic inflammationShorter survivalCCL5 expressionPatient outcomesCD8Immune responseMortality riskGut microbiotaSurvival analysisMelanomaTumor nicheHuman cancersSurvivalSignificant correlationPositive associationThree-year survival, correlates and salvage therapies in patients receiving first-line pembrolizumab for advanced Merkel cell carcinoma
Nghiem P, Bhatia S, Lipson EJ, Sharfman WH, Kudchadkar RR, Brohl AS, Friedlander PA, Daud A, Kluger HM, Reddy SA, Boulmay BC, Riker A, Burgess MA, Hanks BA, Olencki T, Kendra K, Church C, Akaike T, Ramchurren N, Shinohara MM, Salim B, Taube JM, Jensen E, Kalabis M, Fling SP, Moreno B, Sharon E, Cheever MA, Topalian SL. Three-year survival, correlates and salvage therapies in patients receiving first-line pembrolizumab for advanced Merkel cell carcinoma. Journal For ImmunoTherapy Of Cancer 2021, 9: e002478. PMID: 33879601, PMCID: PMC8061836, DOI: 10.1136/jitc-2021-002478.Peer-Reviewed Original ResearchConceptsProgression-free survivalMerkel cell carcinomaSalvage therapyStable diseaseCell carcinomaBaseline Eastern Cooperative Oncology Group performance statusEastern Cooperative Oncology Group performance statusAnti-programmed death-1 therapyCell death-1 pathway inhibitorsDeath-1 pathway inhibitorsDurable progression-free survivalFirst-line pembrolizumab therapyMedian progression-free survivalMulticenter phase II trialRefractory Merkel cell carcinomaTumor progressionAdvanced Merkel cell carcinomaMedian response durationFirst-line pembrolizumabPhase II trialProportion of patientsInitial disease progressionThree-year survivalDurable tumor regressionOverall response rateAutomated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, Taback B, Geskin LJ, Horst B, Gardner K, Niedt G, Celebi JT, Gartrell-Corrado RD, Messina J, Ferringer T, Rimm DL, Saltz J, Wang J, Vanguri R, Saenger YM. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports 2021, 11: 2809. PMID: 33531581, PMCID: PMC7854647, DOI: 10.1038/s41598-021-82305-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiopsyChemotherapy, AdjuvantClinical Decision-MakingDeep LearningFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNeoplasm StagingPatient SelectionPrognosisRetrospective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsYoung AdultConceptsTumor-infiltrating lymphocytesDisease-specific survivalEarly-stage melanomaOpen-source deep learningCutoff valueMultivariable Cox proportional hazards analysisCox proportional hazards analysisDeep learningLow-risk patientsProportional hazards analysisKaplan-Meier analysisAccurate prognostic biomarkersEosin imagesAccuracy of predictionAdjuvant therapyRisk patientsSpecific survivalPrognostic valueValidation cohortReceiver operating curvesTraining cohortTIL analysisClinical trialsPrimary melanomaPrognostic biomarkerTumor DNA Mutations From Intraparenchymal Brain Metastases Are Detectable in CSF
Cheok SK, Narayan A, Arnal-Estape A, Gettinger S, Goldberg SB, Kluger HM, Nguyen D, Patel A, Chiang V. Tumor DNA Mutations From Intraparenchymal Brain Metastases Are Detectable in CSF. JCO Precision Oncology 2021, 5: 163-172. PMID: 34250381, PMCID: PMC8232069, DOI: 10.1200/po.20.00292.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBrain NeoplasmsCell-Free Nucleic AcidsDNA, NeoplasmFemaleHumansMaleMiddle AgedMutationConceptsIntraparenchymal brain metastasesBrain metastasesCell-free DNAExtracranial tumorsBrain metastasis tissuesProgressive brain metastasesThird of patientsNormal pressure hydrocephalusTumor DNA mutationsPrimary cancer typeAnalysis of CSFSamples of CSFLeptomeningeal diseaseEffective surrogate markerBrain biopsyPressure hydrocephalusLumbar punctureSurrogate markerCancer-associated genesMetastasis tissuesPatientsMetastasisDiscordant responsesRenal cellsGenomic profilingAssessment of Age, Period, and Birth Cohort Effects and Trends in Merkel Cell Carcinoma Incidence in the United States
Jacobs D, Huang H, Olino K, Weiss S, Kluger H, Judson BL, Zhang Y. Assessment of Age, Period, and Birth Cohort Effects and Trends in Merkel Cell Carcinoma Incidence in the United States. JAMA Dermatology 2021, 157: 59-65. PMID: 33146688, PMCID: PMC7643047, DOI: 10.1001/jamadermatol.2020.4102.Peer-Reviewed Original ResearchConceptsMerkel cell carcinomaBirth cohort effectsCell carcinomaIncidence rateCalendar periodBirth cohortPatient ageNew casesCohort effectsEnd Results Program databaseCross-sectional retrospective studyLongitudinal cohort studyHigh incidence rateAge-adjusted ratesRisk factor exposureRecent birth cohortsCohort studyCarcinoma incidenceRetrospective studyNeuroendocrine cancerAge effectsProgram databaseCohort analysisMAIN OUTCOMECarcinoma
2020
Primary Treatment Selection for Clinically Node-Negative Merkel Cell Carcinoma of the Head and Neck
Jacobs D, Olino K, Park HS, Clune J, Cheraghlou S, Girardi M, Burtness B, Kluger H, Judson BL. Primary Treatment Selection for Clinically Node-Negative Merkel Cell Carcinoma of the Head and Neck. Otolaryngology 2020, 164: 1214-1221. PMID: 33079010, DOI: 10.1177/0194599820967001.Peer-Reviewed Original ResearchConceptsNode-negative Merkel cell carcinomaLymph node evaluationImproved overall survivalPrimary tumor excisionMerkel cell carcinomaCase volumeOverall survivalSurgical managementCell carcinomaTumor excisionTreatment selectionNode evaluationCox proportional hazards regressionGuideline-recommended carePrimary treatment selectionNational Cancer DatabaseNode-negative diseasePercentage of patientsRetrospective cohort analysisInitial surgical managementKaplan-Meier analysisWide local excisionProportional hazards regressionRates of receiptInitial managementHigh WHO/ISUP Grade and Unfavorable Architecture, Rather Than Typing of Papillary Renal Cell Carcinoma, May Be Associated With Worse Prognosis
Yang C, Shuch B, Kluger H, Humphrey PA, Adeniran AJ. High WHO/ISUP Grade and Unfavorable Architecture, Rather Than Typing of Papillary Renal Cell Carcinoma, May Be Associated With Worse Prognosis. The American Journal Of Surgical Pathology 2020, 44: 582-593. PMID: 32101890, DOI: 10.1097/pas.0000000000001455.Peer-Reviewed Original ResearchConceptsPapillary renal cell carcinomaType 2 papillary renal cell carcinomaDisease-free survivalWHO/ISUP gradeHigh WHO/ISUP gradeOverall survivalRenal cell carcinomaISUP gradeWorld Health OrganizationPRCC typeType 1Hazard ratioPathologic stageCell carcinomaMicropapillary architectureHistologic parametersType 2Stepwise multivariate Cox regression analysisWorse disease-free survivalMultivariate Cox regression analysisTumor areaType 1 histologyUrological Pathology (ISUP) gradeCox regression analysisMixed type 1
2019
Histopathology‐guided mass spectrometry differentiates benign nevi from malignant melanoma
Lazova R, Smoot K, Anderson H, Powell MJ, Rosenberg AS, Rongioletti F, Pilloni L, D'Hallewin S, Gueorguieva R, Tantcheva‐Poór I, Obadofin O, Camacho C, Hsi A, Kluger HH, Fadare O, Seeley EH. Histopathology‐guided mass spectrometry differentiates benign nevi from malignant melanoma. Journal Of Cutaneous Pathology 2019, 47: 226-240. PMID: 31697431, DOI: 10.1111/cup.13610.Peer-Reviewed Original ResearchDeep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM, Robinson EJ, Pradhan J, Gartrell-Corrado RD, Rohr BR, Trager MH, Geskin LJ, Kluger HM, Wong PF, Acs B, Rizk EM, Yang C, Mondal M, Moore MR, Osman I, Phelps R, Horst BA, Chen ZS, Ferringer T, Rimm DL, Wang J, Saenger YM. Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death. Clinical Cancer Research 2019, 26: 1126-1134. PMID: 31636101, PMCID: PMC8142811, DOI: 10.1158/1078-0432.ccr-19-1495.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlgorithmsArea Under CurveBiopsyDeep LearningDisease ProgressionFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedMaleMelanomaMiddle AgedNeoplasm Recurrence, LocalNeural Networks, ComputerRetrospective StudiesRisk FactorsStaining and LabelingSurvival RateYoung AdultConceptsDeep neural network architectureNeural network architectureDeep learningNetwork architectureComputational modelImage sequencesDigital imagesVote aggregationDisease-specific survivalDSS predictionPractical advancesComputational methodsIHC-based methodsImagesGeisinger Health SystemNovel methodGHS patientsArchitectureLearningKaplan-Meier analysisPrimary melanoma tumorsEarly-stage melanomaClinical trial designModelAdjuvant immunotherapySafety, Clinical Activity, and Biological Correlates of Response in Patients with Metastatic Melanoma: Results from a Phase I Trial of Atezolizumab
Hamid O, Molinero L, Bolen CR, Sosman JA, Muñoz-Couselo E, Kluger HM, McDermott DF, Powderly J, Sarkar I, Ballinger M, Fassò M, O'Hear C, Chen DS, Hegde PS, Hodi FS. Safety, Clinical Activity, and Biological Correlates of Response in Patients with Metastatic Melanoma: Results from a Phase I Trial of Atezolizumab. Clinical Cancer Research 2019, 25: 6061-6072. PMID: 31358540, DOI: 10.1158/1078-0432.ccr-18-3488.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorFatigueFemaleFeverFollow-Up StudiesHumansMaleMelanomaMiddle AgedPrognosisProgression-Free SurvivalPruritusRetrospective StudiesSeverity of Illness IndexSkinSkin NeoplasmsT-Lymphocytes, CytotoxicTranscriptomeYoung AdultConceptsTreatment-related adverse eventsAdverse eventsOverall survivalMetastatic melanomaCommon treatment-related adverse eventsMost treatment-related adverse eventsAntitumor T-cell activityMeaningful long-term survivalActivity of atezolizumabEfficacy-evaluable patientsPhase Ia studyTreatment-related deathsMedian overall survivalPD-L1 expressionProgression-free survivalCohort of patientsPhase I trialT cell activityOverall response rateBiological correlatesLong-term safetyLong-term survivalPrimary study objectiveDurable responsesGrade 1/2Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF, Wei W, Smithy JW, Acs B, Toki MI, Blenman K, Zelterman D, Kluger HM, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma. Clinical Cancer Research 2019, 25: 2442-2449. PMID: 30617133, PMCID: PMC6467753, DOI: 10.1158/1078-0432.ccr-18-2652.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedMolecular Targeted TherapyNeoplasm StagingROC CurveT-Lymphocyte SubsetsConceptsCell countTIL activationQuantitative immunofluorescenceLymphocytic infiltrationMelanoma patientsMetastatic melanomaAnti-PD-1 responseAnti-PD-1 therapyCell death 1 (PD-1) inhibitionAbsence of immunotherapyDeath-1 (PD-1) inhibitionDisease control rateProgression-free survivalCD8 cell countsTumor-Infiltrating LymphocytesNew predictive biomarkersWhole tissue sectionsRECIST 1.1Progressive diseaseDurable responsesObjective responsePartial responseImmunotherapy outcomesLymphocyte profilesMultivariable analysisDurable Tumor Regression and Overall Survival in Patients With Advanced Merkel Cell Carcinoma Receiving Pembrolizumab as First-Line Therapy
Nghiem P, Bhatia S, Lipson EJ, Sharfman WH, Kudchadkar RR, Brohl AS, Friedlander PA, Daud A, Kluger HM, Reddy SA, Boulmay BC, Riker AI, Burgess MA, Hanks BA, Olencki T, Margolin K, Lundgren LM, Soni A, Ramchurren N, Church C, Park SY, Shinohara MM, Salim B, Taube JM, Bird SR, Ibrahim N, Fling SP, Moreno B, Sharon E, Cheever MA, Topalian SL. Durable Tumor Regression and Overall Survival in Patients With Advanced Merkel Cell Carcinoma Receiving Pembrolizumab as First-Line Therapy. Journal Of Clinical Oncology 2019, 37: jco.18.01896. PMID: 30726175, PMCID: PMC6424137, DOI: 10.1200/jco.18.01896.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenCarcinoma, Merkel CellFemaleFollow-Up StudiesHumansHypothyroidismMaleMiddle AgedPneumoniaProgression-Free SurvivalRemission InductionResponse Evaluation Criteria in Solid TumorsSkin NeoplasmsConceptsObjective response rateProgression-free survivalMerkel cell carcinomaAdvanced MCCAnti-programmed cell death-1 therapyCell death-1 pathway inhibitorsGreater treatment-related adverse eventsDeath-1 pathway inhibitorsMulticenter phase II trialTreatment-related adverse eventsAdvanced Merkel cell carcinomaDurable tumor controlManageable safety profileMedian OS timeMedian response durationSolid Tumors v1.1Treatment-related deathsTumor viral statusDate of patientsFirst-line chemotherapyFirst-line therapyMedian PFS timePhase II trialResponse Evaluation CriteriaOverall survival data
2018
Long-Term Survival of Patients With Melanoma With Active Brain Metastases Treated With Pembrolizumab on a Phase II Trial
Kluger HM, Chiang V, Mahajan A, Zito CR, Sznol M, Tran T, Weiss SA, Cohen JV, Yu J, Hegde U, Perrotti E, Anderson G, Ralabate A, Kluger Y, Wei W, Goldberg SB, Jilaveanu LB. Long-Term Survival of Patients With Melanoma With Active Brain Metastases Treated With Pembrolizumab on a Phase II Trial. Journal Of Clinical Oncology 2018, 37: 52-60. PMID: 30407895, PMCID: PMC6354772, DOI: 10.1200/jco.18.00204.Peer-Reviewed Original ResearchConceptsBrain metastasis responseBrain metastasesMetastasis responseAdverse eventsAnti-programmed cell death-1 (PD-1) agentsDeath ligand 1 (PD-L1) expressionModified Response Evaluation CriteriaPhase II clinical trialActive brain metastasesAsymptomatic brain metastasesCD8 cell densityNeurologic adverse eventsPembrolizumab-treated patientsUse of pembrolizumabMelanoma brain metastasesPrimary end pointLigand 1 expressionPhase II trialResponse Evaluation CriteriaT-cell infiltratesUntreated brain metastasesDeath ligand 1Two-year survivalOverall survival timeResult of progressionResults of a Phase II Placebo-controlled Randomized Discontinuation Trial of Cabozantinib in Patients with Non–small-cell Lung Carcinoma
Hellerstedt BA, Vogelzang NJ, Kluger HM, Yasenchak CA, Aftab DT, Ramies DA, Gordon MS, Lara P. Results of a Phase II Placebo-controlled Randomized Discontinuation Trial of Cabozantinib in Patients with Non–small-cell Lung Carcinoma. Clinical Lung Cancer 2018, 20: 74-81.e1. PMID: 30528315, DOI: 10.1016/j.cllc.2018.10.006.Peer-Reviewed Original ResearchConceptsObjective response rateProgression-free survivalMedian progression-free survivalCell lung carcinomaWeek 12Adverse eventsDiscontinuation trialLung carcinomaTreatment-related grade 5 adverse eventsCommon grade 3/4 adverse eventsBioavailable tyrosine kinase inhibitorGrade 3/4 adverse eventsGrade 5 adverse eventsOverall disease control rateSolid Tumors version 1.0Epidermal growth factor receptor (EGFR) mutationsOpen-label leadPhase II PlaceboRandomized discontinuation trialDisease control ratePalmar-plantar erythrodysesthesiaResponse Evaluation CriteriaGrowth factor receptor 2Vascular endothelial growth factor receptor 2Endothelial growth factor receptor 2Genomic Heterogeneity and the Small Renal Mass
Ueno D, Xie Z, Boeke M, Syed J, Nguyen KA, McGillivray P, Adeniran A, Humphrey P, Dancik GM, Kluger Y, Liu Z, Kluger H, Shuch B. Genomic Heterogeneity and the Small Renal Mass. Clinical Cancer Research 2018, 24: 4137-4144. PMID: 29760223, PMCID: PMC6125159, DOI: 10.1158/1078-0432.ccr-18-0214.Peer-Reviewed Original ResearchA Serum Protein Signature Associated with Outcome after Anti–PD-1 Therapy in Metastatic Melanoma
Weber JS, Sznol M, Sullivan RJ, Blackmon S, Boland G, Kluger HM, Halaban R, Bacchiocchi A, Ascierto PA, Capone M, Oliveira C, Meyer K, Grigorieva J, Asmellash SG, Roder J, Roder H. A Serum Protein Signature Associated with Outcome after Anti–PD-1 Therapy in Metastatic Melanoma. Cancer Immunology Research 2018, 6: 79-86. PMID: 29208646, DOI: 10.1158/2326-6066.cir-17-0412.Peer-Reviewed Original ResearchConceptsAcute phase reactantsCheckpoint inhibitorsOverall survivalPhase reactantsIpilimumab-treated patientsPD-1 blockadeTrials of nivolumabBetter overall survivalIndependent patient cohortsPretreatment serumPD-1Melanoma patientsValidation cohortMetastatic melanomaMultipeptide vaccinePatient cohortPooled analysisWorse outcomesClinical dataPatientsMultivariate analysisComplement cascadeMass spectrometry analysisNivolumabCohort