2023
Interplay of Immunosuppression and Immunotherapy Among Patients With Cancer and COVID-19
Bakouny Z, Labaki C, Grover P, Awosika J, Gulati S, Hsu C, Alimohamed S, Bashir B, Berg S, Bilen M, Bowles D, Castellano C, Desai A, Elkrief A, Eton O, Fecher L, Flora D, Galsky M, Gatti-Mays M, Gesenhues A, Glover M, Gopalakrishnan D, Gupta S, Halfdanarson T, Hayes-Lattin B, Hendawi M, Hsu E, Hwang C, Jandarov R, Jani C, Johnson D, Joshi M, Khan H, Khan S, Knox N, Koshkin V, Kulkarni A, Kwon D, Matar S, McKay R, Mishra S, Moria F, Nizam A, Nock N, Nonato T, Panasci J, Pomerantz L, Portuguese A, Provenzano D, Puc M, Rao Y, Rhodes T, Riely G, Ripp J, Rivera A, Ruiz-Garcia E, Schmidt A, Schoenfeld A, Schwartz G, Shah S, Shaya J, Subbiah S, Tachiki L, Tucker M, Valdez-Reyes M, Weissmann L, Wotman M, Wulff-Burchfield E, Xie Z, Yang Y, Thompson M, Shah D, Warner J, Shyr Y, Choueiri T, Wise-Draper T, Fromowitz A, Gandhi R, Gartrell B, Goel S, Halmos B, Makower D, O' Sullivan D, Ohri N, Portes M, Shapiro L, Shastri A, Sica R, Verma A, Butt O, Campian J, Fiala M, Henderson J, Monahan R, Stockerl-Goldstein K, Zhou A, Bitran J, Hallmeyer S, Mundt D, Pandravada S, Papaioannou P, Patel M, Streckfuss M, Tadesse E, Gatson N, Kundranda M, Lammers P, Loree J, Yu I, Bindal P, Lam B, Peters M, Piper-Vallillo A, Egan P, Farmakiotis D, Arvanitis P, Klein E, Olszewski A, Vieira K, Angevine A, Bar M, Del Prete S, Fiebach M, Gulati A, Hatton E, Houston K, Rose S, Steve Lo K, Stratton J, Weinstein P, Garcia J, Routy B, Hoyo-Ulloa I, Dawsey S, Lemmon C, Pennell N, Sharifi N, Painter C, Granada C, Hoppenot C, Li A, Bitterman D, Connors J, Demetri G, Florez (Duma) N, Freeman D, Giordano A, Morgans A, Nohria A, Saliby R, Tolaney S, Van Allen E, Xu W, Zon R, Halabi S, Zhang T, Dzimitrowicz H, Leighton J, Graber J, Grivas P, Hawley J, Loggers E, Lyman G, Lynch R, Nakasone E, Schweizer M, Vinayak S, Wagner M, Yeh A, Dansoa Y, Makary M, Manikowski J, Vadakara J, Yossef K, Beckerman J, Goyal S, Messing I, Rosenstein L, Steffes D, Alsamarai S, Clement J, Cosin J, Daher A, Dailey M, Elias R, Fein J, Hosmer W, Jayaraj A, Mather J, Menendez A, Nadkarni R, Serrano O, Yu P, Balanchivadze N, Gadgeel S, Accordino M, Bhutani D, Bodin B, Hershman D, Masson C, Alexander M, Mushtaq S, Reuben D, Bernicker E, Deeken J, Jeffords K, Shafer D, Cárdenas A, Cuervo Campos R, De-la-Rosa-Martinez D, Ramirez A, Vilar-Compte D, Gill D, Lewis M, Low C, Jones M, Mansoor A, Mashru S, Werner M, Cohen A, McWeeney S, Nemecek E, Williamson S, Peters S, Smith S, Lewis G, Zaren H, Akhtari M, Castillo D, Cortez K, Lau E, Nagaraj G, Park K, Reeves M, O'Connor T, Altman J, Gurley M, Mulcahy M, Wehbe F, Durbin E, Nelson H, Ramesh V, Sachs Z, Wilson G, Bardia A, Boland G, Gainor J, Peppercorn J, Reynolds K, Rosovsky R, Zubiri L, Bekaii-Saab T, Joyner M, Riaz I, Senefeld J, Shah S, Ayre S, Bonnen M, Mahadevan D, McKeown C, Mesa R, Ramirez A, Salazar M, Shah P, Wang C, Bouganim N, Papenburg J, Sabbah A, Tagalakis V, Vinh D, Nanchal R, Singh H, Bahadur N, Bao T, Belenkaya R, Nambiar P, O’Cearbhaill R, Papadopoulos E, Philip J, Robson M, Rosenberg J, Wilkins C, Tamimi R, Cerrone K, Dill J, Faller B, Alomar M, Chandrasekhar S, Hume E, Islam J, Ajmera A, Brouha S, Cabal A, Choi S, Hsiao A, Jiang J, Kligerman S, Park J, Razavi P, Reid E, Bhatt P, Mariano M, Thomson C, Glace M, Knoble J, Rink C, Zacks R, Blau S, Brown C, Cantrell A, Namburi S, Polimera H, Rovito M, Edwin N, Herz K, Kennecke H, Monfared A, Sautter R, Cronin T, Elshoury A, Fleissner B, Griffiths E, Hernandez-Ilizaliturri F, Jain P, Kariapper A, Levine E, Moffitt M, O'Connor T, Smith L, Wicher C, Zsiros E, Jabbour S, Misdary C, Shah M, Batist G, Cook E, Ferrario C, Lau S, Miller W, Rudski L, Santos Dutra M, Wilchesky M, Mahmood S, McNair C, Mico V, Dixon B, Kloecker G, Logan B, Mandapakala C, Cabebe E, Jha A, Khaki A, Nagpal S, Schapira L, Wu J, Whaley D, Lopes G, de Cardenas K, Russell K, Stith B, Taylor S, Klamerus J, Revankar S, Addison D, Chen J, Haynam M, Jhawar S, Karivedu V, Palmer J, Pillainayagam C, Stover D, Wall S, Williams N, Abbasi S, Annis S, Balmaceda N, Greenland S, Kasi A, Rock C, Luders M, Smits M, Weiss M, Chism D, Owenby S, Ang C, Doroshow D, Metzger M, Berenberg J, Uyehara C, Fazio A, Huber K, Lashley L, Sueyoshi M, Patel K, Riess J, Borno H, Small E, Zhang S, Andermann T, Jensen C, Rubinstein S, Wood W, Ahmad S, Brownfield L, Heilman H, Kharofa J, Latif T, Marcum M, Shaikh H, Sohal D, Abidi M, Geiger C, Markham M, Russ A, Saker H, Acoba J, Choi H, Rho Y, Feldman L, Gantt G, Hoskins K, Khan M, Liu L, Nguyen R, Pasquinelli M, Schwartz C, Venepalli N, Vikas P, Zakharia Y, Friese C, Boldt A, Gonzalez C, Su C, Su C, Yoon J, Bijjula R, Mavromatis B, Seletyn M, Wood B, Zaman Q, Kaklamani V, Beeghly A, Brown A, Charles L, Cheng A, Crispens M, Croessmann S, Davis E, Ding T, Duda S, Enriquez K, French B, Gillaspie E, Hausrath D, Hennessy C, Lewis J, Li X, Prescott L, Reid S, Saif S, Slosky D, Solorzano C, Sun T, Vega-Luna K, Wang L, Aboulafia D, Carducci T, Goldsmith K, Van Loon S, Topaloglu U, Moore J, Rice R, Cabalona W, Cyr S, Barrow McCollough B, Peddi P, Rosen L, Ravindranathan D, Hafez N, Herbst R, LoRusso P, Lustberg M, Masters T, Stratton C. Interplay of Immunosuppression and Immunotherapy Among Patients With Cancer and COVID-19. JAMA Oncology 2023, 9: 128-134. PMID: 36326731, PMCID: PMC9634600, DOI: 10.1001/jamaoncol.2022.5357.Peer-Reviewed Original ResearchConceptsCOVID-19 severitySystemic anticancer therapyWorse COVID-19 severityCytokine stormBaseline immunosuppressionCohort studyAnticancer therapyCOVID-19Registry-based retrospective cohort studyIntensive care unit admissionCare unit admissionRetrospective cohort studyMulti-institutional registryLaboratory-confirmed infectionSevere clinical outcomesImmune system activationSARS-CoV-2Non-Hispanic whitesCOVID-19 diagnosisIO therapyPrevious cancerUnit admissionSecondary outcomesMedian agePrimary outcome
2021
Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection
McPadden J, Warner F, Young HP, Hurley NC, Pulk RA, Singh A, Durant TJS, Gong G, Desai N, Haimovich A, Taylor RA, Gunel M, Dela Cruz CS, Farhadian SF, Siner J, Villanueva M, Churchwell K, Hsiao A, Torre CJ, Velazquez EJ, Herbst RS, Iwasaki A, Ko AI, Mortazavi BJ, Krumholz HM, Schulz WL. Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection. PLOS ONE 2021, 16: e0243291. PMID: 33788846, PMCID: PMC8011821, DOI: 10.1371/journal.pone.0243291.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionYale New Haven HealthSARS-CoV-2Hospital mortalityRisk of admissionMale sexRisk factorsSARS-CoV-2 testingInvasive mechanical ventilationSevere acute respiratory syndrome virusBurden of diseaseRT-PCR testingAcademic health systemDiverse patient populationsRespiratory syndrome virusEthnic groupsAdult patientsClinical characteristicsDischarge dispositionRespiratory supportPrimary outcomeTreatment guidelinesMechanical ventilationRetrospective studyPatient population
2020
A Phase II Study of Telisotuzumab Vedotin in Patients With c–MET-positive Stage IV or Recurrent Squamous Cell Lung Cancer (LUNG-MAP Sub-study S1400K, NCT03574753)
Waqar SN, Redman MW, Arnold SM, Hirsch FR, Mack PC, Schwartz LH, Gandara DR, Stinchcombe TE, Leighl NB, Ramalingam SS, Tanna SH, Raddin RS, Minichiello K, Bradley JD, Kelly K, Herbst RS, Papadimitrakopoulou VA. A Phase II Study of Telisotuzumab Vedotin in Patients With c–MET-positive Stage IV or Recurrent Squamous Cell Lung Cancer (LUNG-MAP Sub-study S1400K, NCT03574753). Clinical Lung Cancer 2020, 22: 170-177. PMID: 33221175, PMCID: PMC8044254, DOI: 10.1016/j.cllc.2020.09.013.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntibodies, MonoclonalAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCohort StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPneumoniaProgression-Free SurvivalProto-Oncogene Proteins c-metSurvival RateTreatment OutcomeConceptsSquamous cell carcinomaProgression-free survivalTelisotuzumab vedotinCohort 1Recurrent squamous cell lung cancerSquamous cell lung cancerGrade 5 eventsMET-positive tumorsSolid Tumors v1.1Disease control ratePhase II studyResponse Evaluation CriteriaCell lung cancerDuration of responseLack of efficacyEvaluable patientsStable diseasePrimary endpointSecondary endpointsUnacceptable toxicityII studyOverall survivalCell carcinomaControl rateLung cancer
2017
Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function
Choi M, Kadara H, Zhang J, Parra ER, Rodriguez-Canales J, Gaffney SG, Zhao Z, Behrens C, Fujimoto J, Chow C, Kim K, Kalhor N, Moran C, Rimm D, Swisher S, Gibbons DL, Heymach J, Kaftan E, Townsend JP, Lynch TJ, Schlessinger J, Lee J, Lifton RP, Herbst RS, Wistuba II. Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function. Annals Of Oncology 2017, 28: 83-89. PMID: 28177435, PMCID: PMC6246501, DOI: 10.1093/annonc/mdw437.Peer-Reviewed Original ResearchConceptsLung squamous cell carcinomaEarly stage lung squamous cell carcinomaNon-small cell lung cancerSquamous cell carcinomaWhole-exome sequencingImmune markersClinical outcomesCell carcinomaPIK3CA mutationsExact testPoor recurrence-free survivalProportional hazards regression modelsTumoral PD-L1 expressionPD-L1 expressionRecurrence-free survivalCell lung cancerComprehensive immune profilingTP53 mutant tumorsHazards regression modelsNormal lung tissuesFisher's exact testLUSC cohortAdjuvant therapyImmune profilingPoor prognosis
2013
Programmed death ligand-1 expression in non-small cell lung cancer
Velcheti V, Schalper KA, Carvajal DE, Anagnostou VK, Syrigos KN, Sznol M, Herbst RS, Gettinger SN, Chen L, Rimm DL. Programmed death ligand-1 expression in non-small cell lung cancer. Laboratory Investigation 2013, 94: 107-116. PMID: 24217091, PMCID: PMC6125250, DOI: 10.1038/labinvest.2013.130.Peer-Reviewed Original ResearchMeSH KeywordsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorChi-Square DistributionCohort StudiesConnecticutFemaleGreeceHumansImmunohistochemistryLung NeoplasmsLymphocytes, Tumor-InfiltratingMalePrognosisReproducibility of ResultsRNA, MessengerSurvival AnalysisTissue Array AnalysisConceptsNon-small cell lung cancerPD-L1 expressionCell lung cancerPD-L1Tissue microarrayBetter outcomesNSCLC casesLung cancerDeath ligand 1 (PD-L1) expressionCell death ligand 1PD-L1 protein expressionEarly phase clinical trialsLigand 1 expressionTumor-infiltrating lymphocytesDeath ligand 1Significant better outcomePD-L1 mRNAPD-L1 proteinPhase clinical trialsNormal human placentaPrediction of responseQuantitative fluorescence approachesFrequency of expressionPD-1Prognostic value
2010
Phase I Dose-Escalation Study of Recombinant Human Apo2L/TRAIL, a Dual Proapoptotic Receptor Agonist, in Patients With Advanced Cancer
Herbst RS, Eckhardt SG, Kurzrock R, Ebbinghaus S, O'Dwyer PJ, Gordon MS, Novotny W, Goldwasser MA, Tohnya TM, Lum BL, Ashkenazi A, Jubb AM, Mendelson DS. Phase I Dose-Escalation Study of Recombinant Human Apo2L/TRAIL, a Dual Proapoptotic Receptor Agonist, in Patients With Advanced Cancer. Journal Of Clinical Oncology 2010, 28: 2839-2846. PMID: 20458040, DOI: 10.1200/jco.2009.25.1991.Peer-Reviewed Original ResearchConceptsRecombinant human Apo2L/TRAILRhApo2L/TRAILDose-escalation studyAdverse eventsAdvanced cancerLiver metastasesDose escalationLiver functionApo2L/TRAILI dose-escalation studyDurable partial responseRapid tumor necrosisAntitumor activityCommon adverse eventsLiver enzyme elevationMetastatic liver diseaseSerious adverse eventsAbnormal liver functionNormal liver functionMultiple intravenous dosesNecrosis factor-related apoptosis-inducing ligandPreclinical antitumor efficacyTumor necrosis factor-related apoptosis-inducing ligandFactor-related apoptosis-inducing ligandHuman clinical trials
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
2005
Limited-Stage Small-Cell Lung Cancer (Stages I-III): Observations from the National Cancer Data Base
Gaspar LE, Gay EG, Crawford J, Putnam JB, Herbst RS, Bonner JA. Limited-Stage Small-Cell Lung Cancer (Stages I-III): Observations from the National Cancer Data Base. Clinical Lung Cancer 2005, 6: 355-360. PMID: 15943896, DOI: 10.3816/clc.2005.n.015.Peer-Reviewed Original ResearchConceptsLimited stage small cell lung cancerSmall cell lung cancerLS-SCLCChemoradiation therapyStandard treatmentLung cancerRadiation therapySole treatmentSurvival rateConcurrent thoracic radiation therapyNational Cancer Data BaseMultiple-agent chemotherapyTreatment pattern changesPercent of patientsProportion of patientsThoracic radiation therapyUse of chemotherapyUse of chemoradiationAge of patientsGroup of patientsConfidence intervalsYears of agePercentage of womenCombined chemotherapyPatient cohort
2004
Quantitative Analysis of Biomarkers Defines an Optimal Biological Dose for Recombinant Human Endostatin in Primary Human Tumors
Davis DW, Shen Y, Mullani NA, Wen S, Herbst RS, O’Reilly M, Abbruzzese JL, McConkey DJ. Quantitative Analysis of Biomarkers Defines an Optimal Biological Dose for Recombinant Human Endostatin in Primary Human Tumors. Clinical Cancer Research 2004, 10: 33-42. PMID: 14734449, DOI: 10.1158/1078-0432.ccr-0736-3.Peer-Reviewed Original ResearchMeSH KeywordsAngiogenesis InhibitorsApoptosisBiomarkersCohort StudiesDiagnostic ImagingDose-Response Relationship, DrugEndostatinsEndothelial CellsHumansHypoxia-Inducible Factor 1, alpha SubunitIn Situ Nick-End LabelingNeoplasmsNeovascularization, PathologicPlatelet Endothelial Cell Adhesion Molecule-1Proto-Oncogene Proteins c-bcl-2Recombinant ProteinsTomography, Emission-ComputedTranscription FactorsConceptsHypoxia-inducible factor-1alphaRecombinant human endostatinMicrovessel densityLaser scanning cytometryTC deathHuman endostatinPhase I dose-finding studyTerminal deoxynucleotidyl transferase-mediated nick end labeling stainingTumor cellsEndothelial cellsTumor-associated endothelial cellsSignificant clinical activityFactor-1alphaRefractory solid tumorsCohort of patientsNick end labeling stainingPhase I trialDose-finding studyTumor microvessel densityTumor blood flowOptimal biological doseEnd labeling stainingWhole tissue sectionsPositron emission tomographyPrimary human tumors