2023
Novel Approaches for Dynamic Visualization of Adverse Event Data in Oncology Clinical Trials: A Case Study Using Immunotherapy Trial S1400-I (SWOG)
Lee S, Fan W, Wang A, Vaidya R, Redman M, Gettinger S, Bazhenova L, Herbst R, Hershman D, Unger J. Novel Approaches for Dynamic Visualization of Adverse Event Data in Oncology Clinical Trials: A Case Study Using Immunotherapy Trial S1400-I (SWOG). JCO Clinical Cancer Informatics 2023, 7: e2200165. PMID: 37084329, PMCID: PMC10281446, DOI: 10.1200/cci.22.00165.Peer-Reviewed Original ResearchConceptsSystem organ classAdverse event dataRandomized phase III trialPhase III trialsCell lung cancerOncology clinical trialsOverall toxicity profileIII trialsNeurologic toxicityTreatment armsCardiac toxicityLung cancerClinical trialsGrade 3High prevalenceOrgan classToxicity profileNivolumabTreatment groupsStage IVEndocrine toxicityType of AEToxicity typesAE termsIpilimumabInterplay 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
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 outcomesProgrammed Death-Ligand 1 and Programmed Death-Ligand 2 mRNAs Measured Using Closed-System Quantitative Real-Time Polymerase Chain Reaction Are Associated With Outcome and High Negative Predictive Value in Immunotherapy-Treated NSCLC
Fernandez AI, Gavrielatou N, McCann L, Shafi S, Moutafi MK, Martinez-Morilla S, Vathiotis IA, Aung TN, Yaghoobi V, Bai Y, Chan YG, Weidler J, Herbst R, Bates M, Rimm DL. Programmed Death-Ligand 1 and Programmed Death-Ligand 2 mRNAs Measured Using Closed-System Quantitative Real-Time Polymerase Chain Reaction Are Associated With Outcome and High Negative Predictive Value in Immunotherapy-Treated NSCLC. Journal Of Thoracic Oncology 2022, 17: 1078-1085. PMID: 35764237, DOI: 10.1016/j.jtho.2022.06.007.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsHigh negative predictive valueLow stage patientsICI therapyPD-L1Negative predictive valueAdjuvant settingLong-term benefitsPredictive valueProgrammed Death Ligand 1PD-L1 mRNA levelsCurrent predictive biomarkersHigh PD-L1Death ligand 1Lung cancer managementPD-L1 mRNAUseful objective methodReal-time reverse transcription-polymerase chain reactionMRNA levelsStandard of careReverse transcription-polymerase chain reactionQuantitative real-time reverse transcription-polymerase chain reactionTranscription-polymerase chain reactionMRNA expression levelsAdvanced NSCLCPhase II Randomized Study of Ramucirumab and Pembrolizumab Versus Standard of Care in Advanced Non–Small-Cell Lung Cancer Previously Treated With Immunotherapy—Lung-MAP S1800A
Reckamp KL, Redman MW, Dragnev KH, Minichiello K, Villaruz LC, Faller B, Al Baghdadi T, Hines S, Everhart L, Highleyman L, Papadimitrakopoulou V, Neal J, Waqar SN, Patel JD, Gray JE, Gandara DR, Kelly K, Herbst RS. Phase II Randomized Study of Ramucirumab and Pembrolizumab Versus Standard of Care in Advanced Non–Small-Cell Lung Cancer Previously Treated With Immunotherapy—Lung-MAP S1800A. Journal Of Clinical Oncology 2022, 40: 2295-2306. PMID: 35658002, PMCID: PMC9287284, DOI: 10.1200/jco.22.00912.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitionInvestigator-assessed progression-free survivalProgression-free survivalOverall survivalVascular endothelial growth factorLung cancerAdvanced non-small cell lung cancerNon-small cell lung cancerPhase II Randomized StudyTreatment-related adverse eventsRandomized phase II trialSecondary end pointsPhase II trialPlatinum-based chemotherapyCell lung cancerDuration of responseLog-rank testMajor unmet needEndothelial growth factorMultiple tumor typesAdvanced NSCLCEligible patientsOS benefitII trialObjective responseWhen immunotherapy meets surgery in non-small cell lung cancer
Herbst RS, Wang M, Chen L. When immunotherapy meets surgery in non-small cell lung cancer. Cancer Cell 2022, 40: 603-605. PMID: 35660136, DOI: 10.1016/j.ccell.2022.05.010.Peer-Reviewed Original ResearchSociety for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of lung cancer and mesothelioma
Govindan R, Aggarwal C, Antonia SJ, Davies M, Dubinett SM, Ferris A, Forde PM, Garon EB, Goldberg SB, Hassan R, Hellmann MD, Hirsch FR, Johnson ML, Malik S, Morgensztern D, Neal JW, Patel JD, Rimm DL, Sagorsky S, Schwartz LH, Sepesi B, Herbst RS. Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of lung cancer and mesothelioma. Journal For ImmunoTherapy Of Cancer 2022, 10: e003956. PMID: 35640927, PMCID: PMC9157337, DOI: 10.1136/jitc-2021-003956.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerSmall cell lung cancerClinical practice guidelinesLung cancerQuality of lifePractice guidelinesTreatment of NSCLCImmune-related adverse eventsCancer clinical practice guidelinesLung cancer careImmune checkpoint inhibitorsUse of immunotherapyFirst-line therapySubset of patientsCell lung cancerCancer care providersImmunotherapy of cancerConsensus-based recommendationsAdjuvant settingAdvanced diseaseCheckpoint inhibitorsAdverse eventsDurable responsesThoracic malignanciesAutoimmune disorders
2021
Phase II study of durvalumab plus tremelimumab as therapy for patients with previously treated anti-PD-1/PD-L1 resistant stage IV squamous cell lung cancer (Lung-MAP substudy S1400F, NCT03373760)
Leighl NB, Redman MW, Rizvi N, Hirsch FR, Mack PC, Schwartz LH, Wade JL, Irvin WJ, Reddy SC, Crawford J, Bradley JD, Stinchcombe TE, Ramalingam SS, Miao J, Minichiello K, Herbst RS, Papadimitrakopoulou VA, Kelly K, Gandara DR. Phase II study of durvalumab plus tremelimumab as therapy for patients with previously treated anti-PD-1/PD-L1 resistant stage IV squamous cell lung cancer (Lung-MAP substudy S1400F, NCT03373760). Journal For ImmunoTherapy Of Cancer 2021, 9: e002973. PMID: 34429332, PMCID: PMC8386207, DOI: 10.1136/jitc-2021-002973.Peer-Reviewed Original ResearchConceptsDisease progressionAnti-programmed death ligand 1 therapyStage IV squamous cell lung cancerPrior anti-PD-1 therapyResponse rateAnti-PD-1 therapyDeath ligand 1 therapyMedian progression-free survivalSquamous cell lung cancerObjective response ratePhase II studyProgression-free survivalCell lung cancerSquamous lung carcinomaDurvalumab 1500Eligible patientsImmunotherapy combinationsPrimary endpointAdverse eventsII studyOverall survivalPartial responseTRIAL REGISTRATIONLung cancerLung carcinomaToward personalized treatment approaches for non-small-cell lung cancer
Wang M, Herbst RS, Boshoff C. Toward personalized treatment approaches for non-small-cell lung cancer. Nature Medicine 2021, 27: 1345-1356. PMID: 34385702, DOI: 10.1038/s41591-021-01450-2.Peer-Reviewed Original ResearchConceptsCell lung cancerLung cancerCombination therapyMaintenance combination therapyRobust predictive biomarkersCancer-related deathPersonalized treatment approachesRational combination therapiesAdvanced NSCLCEarly diseasePredictive biomarkersClinical studiesCurrent treatmentCommon causePatient stratificationTreatment approachesTherapyNSCLCBreakthrough therapiesCancerClinical research areasImmunotherapyVast majorityCurrent understandingFuture roleSelecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC
Grant MJ, Herbst RS, Goldberg SB. Selecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC. Nature Reviews Clinical Oncology 2021, 18: 625-644. PMID: 34168333, DOI: 10.1038/s41571-021-00520-1.Peer-Reviewed Original ResearchConceptsSubset of patientsTreatment landscapeRegimen selectionTumor cell PD-L1 expressionChemotherapy-immunotherapy combinationsImmune checkpoint inhibitorsTreatment-naive patientsFirst-line therapyPD-L1 expressionCurrent treatment landscapeCell lung cancerAbsence of headCurrent treatment paradigmsPivotal clinical trialsLong-term efficacyNovel therapeutic strategiesImmunotherapy regimenMetastatic NSCLCImmunotherapeutic strategiesClinicopathological factorsPD-1PD-L1Durable efficacyHistological subtypesLung cancerA Burned-Out CD8+ T-cell Subset Expands in the Tumor Microenvironment and Curbs Cancer Immunotherapy
Sanmamed MF, Nie X, Desai SS, Villaroel-Espindola F, Badri T, Zhao D, Kim AW, Ji L, Zhang T, Quinlan E, Cheng X, Han X, Vesely MD, Nassar AF, Sun J, Zhang Y, Kim TK, Wang J, Melero I, Herbst RS, Schalper KA, Chen L. A Burned-Out CD8+ T-cell Subset Expands in the Tumor Microenvironment and Curbs Cancer Immunotherapy. Cancer Discovery 2021, 11: 1700-1715. PMID: 33658301, PMCID: PMC9421941, DOI: 10.1158/2159-8290.cd-20-0962.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerTumor-infiltrating lymphocytesExhausted T cellsTIL subsetsTumor microenvironmentCancer immunotherapyT cellsAdvanced non-small cell lung cancerPatient-derived tumor xenograft modelAnti-PD therapyT cell subsetsCell lung cancerPotential tissue biomarkersBaseline tumor tissueLung cancer tissuesSingle-cell mass cytometryTumor xenograft modelApoptotic CD8Dysfunctional CD8Immunotherapy resistancePD-1Activation markersAdjacent nontumoral tissuesPathway-dependent mannerLung cancer
2020
Introduction by the Guest Editors.
Goldberg SB, Herbst RS. Introduction by the Guest Editors. The Cancer Journal 2020, 26: 471-472. PMID: 33298717, DOI: 10.1097/ppo.0000000000000487.Peer-Reviewed Original ResearchBiomarkers Associated with Beneficial PD-1 Checkpoint Blockade in Non–Small Cell Lung Cancer (NSCLC) Identified Using High-Plex Digital Spatial Profiling
Zugazagoitia J, Gupta S, Liu Y, Fuhrman K, Gettinger S, Herbst RS, Schalper KA, Rimm DL. Biomarkers Associated with Beneficial PD-1 Checkpoint Blockade in Non–Small Cell Lung Cancer (NSCLC) Identified Using High-Plex Digital Spatial Profiling. Clinical Cancer Research 2020, 26: 4360-4368. PMID: 32253229, PMCID: PMC7442721, DOI: 10.1158/1078-0432.ccr-20-0175.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-1 checkpoint blockadeCell lung cancerCheckpoint blockadeLung cancerAdvanced non-small cell lung cancerUnivariate unadjusted analysisProgression-free survivalImmune cell countsMinority of patientsRobust predictive biomarkersBiomarkers of responseLarge independent cohortsSpatial profiling technologyDigital spatial profilingDigital spatial profiling (DSP) technologyOverall survivalClinical outcomesImmune predictorsHigher CD56NSCLC casesPredictive biomarkersUnadjusted analysesImmune parametersTissue microarrayImmune Checkpoint Inhibitors in Thoracic Malignancies: Review of the Existing Evidence by an IASLC Expert Panel and Recommendations
Remon J, Passiglia F, Ahn MJ, Barlesi F, Forde PM, Garon EB, Gettinger S, Goldberg SB, Herbst RS, Horn L, Kubota K, Lu S, Mezquita L, Paz-Ares L, Popat S, Schalper KA, Skoulidis F, Reck M, Adjei AA, Scagliotti GV. Immune Checkpoint Inhibitors in Thoracic Malignancies: Review of the Existing Evidence by an IASLC Expert Panel and Recommendations. Journal Of Thoracic Oncology 2020, 15: 914-947. PMID: 32179179, DOI: 10.1016/j.jtho.2020.03.006.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsThoracic malignanciesCheckpoint inhibitorsThymic carcinomaDeath ligand 1 (PD-L1) immune checkpoint inhibitorsAnti-programmed cell death protein 1Cell death protein 1/T-lymphocyte antigen 4 antibodyCombination of ICIsDeath protein 1/Long-term survival benefitHost antitumor immune responseCell death protein 1Immune evasion processStage III NSCLCAntitumor immune responseEarly-stage diseaseDeath protein 1Portion of patientsMalignant pleural mesotheliomaOptimal treatment durationFuture treatment strategiesDefinitive clinical benefitFuture therapeutic developmentAvailable scientific evidenceFrontline immunotherapy for NSCLC — the tale of the tail
Chiang AC, Herbst RS. Frontline immunotherapy for NSCLC — the tale of the tail. Nature Reviews Clinical Oncology 2020, 17: 73-74. PMID: 31907372, DOI: 10.1038/s41571-019-0317-y.Peer-Reviewed Original Research
2019
Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells
Dong MB, Wang G, Chow RD, Ye L, Zhu L, Dai X, Park JJ, Kim HR, Errami Y, Guzman CD, Zhou X, Chen KY, Renauer PA, Du Y, Shen J, Lam SZ, Zhou JJ, Lannin DR, Herbst RS, Chen S. Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell 2019, 178: 1189-1204.e23. PMID: 31442407, PMCID: PMC6719679, DOI: 10.1016/j.cell.2019.07.044.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBreast NeoplasmsCD8-Positive T-LymphocytesCell Line, TumorClustered Regularly Interspaced Short Palindromic RepeatsCytokinesFemaleHumansImmunologic MemoryImmunotherapyMaleMiceMice, KnockoutNF-kappa BProgrammed Cell Death 1 ReceptorRNA HelicasesRNA, Guide, CRISPR-Cas SystemsTranscriptomeConceptsCRISPR screensTarget discoveryGenome-scale CRISPR screensCD8 TRNA helicase DHX37Vivo CRISPR screensGenetic screenGenome scaleTranscriptomic profilingBiochemical interrogationAntigen-specific CD8 TAnti-tumor immune responseFunctional regulatorTriple-negative breast cancerDHX37Essential roleTim-3PD-1Cytokine productionTumor infiltrationImmunotherapy targetImmunotherapy settingsRegulatorBreast cancerT cellsImmunotherapy in Non–Small Cell Lung Cancer: Facts and Hopes
Doroshow DB, Sanmamed MF, Hastings K, Politi K, Rimm DL, Chen L, Melero I, Schalper KA, Herbst RS. Immunotherapy in Non–Small Cell Lung Cancer: Facts and Hopes. Clinical Cancer Research 2019, 25: 4592-4602. PMID: 30824587, PMCID: PMC6679805, DOI: 10.1158/1078-0432.ccr-18-1538.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNon-small cell lung cancerImmune checkpoint inhibitorsCell lung cancerPD-L1Lung cancerNonsquamous non-small cell lung cancerOngoing translational workPD-1 axisFirst-line therapyPD-L1 expressionProportion of patientsTumor mutational burdenAdvanced diseaseOverall survivalTumor inflammationMutational burdenPatientsNovel markerChemotherapyTherapyIndicative biomarkersCancerTranslational workBiomarkersSurvivalImmune Checkpoint Inhibitor–Associated Pericarditis
Altan M, Toki MI, Gettinger SN, Carvajal-Hausdorf DE, Zugazagoitia J, Sinard JH, Herbst RS, Rimm DL. Immune Checkpoint Inhibitor–Associated Pericarditis. Journal Of Thoracic Oncology 2019, 14: 1102-1108. PMID: 30851443, PMCID: PMC6617516, DOI: 10.1016/j.jtho.2019.02.026.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntineoplastic Agents, ImmunologicalFemaleHumansImmunotherapyMaleMiddle AgedPericarditisConceptsAdverse eventsCTLA-4 inhibitorsImmune checkpoint inhibitorsDeath-1/Pericardial window procedureCheckpoint inhibitorsThird patientClinical presentationCardiac toxicityHistopathologic findingsSide effectsPericarditisPatientsDeath ligandsPotential mechanismsWindow procedureInhibitorsImmunotherapyNSCLCCardiotoxicityAutopsiesTherapySiglec-15 as an immune suppressor and potential target for normalization cancer immunotherapy
Wang J, Sun J, Liu LN, Flies DB, Nie X, Toki M, Zhang J, Song C, Zarr M, Zhou X, Han X, Archer KA, O’Neill T, Herbst RS, Boto AN, Sanmamed MF, Langermann S, Rimm DL, Chen L. Siglec-15 as an immune suppressor and potential target for normalization cancer immunotherapy. Nature Medicine 2019, 25: 656-666. PMID: 30833750, PMCID: PMC7175920, DOI: 10.1038/s41591-019-0374-x.Peer-Reviewed Original ResearchConceptsNormalization cancer immunotherapyTumor microenvironmentSiglec-15Antibody blockadeCancer immunotherapyImmune suppressorMyeloid cellsAntigen-specific T cell responsesB7-H1/PDTumor-infiltrating myeloid cellsB7-H1 moleculesAnti-tumor immunityT cell responsesPotential targetImmune evasion mechanismsInhibits tumor growthMacrophage colony-stimulating factorColony-stimulating factorB7-H1Evasion mechanismsMouse modelHuman cancer cellsTumor growthCell responsesGenetic ablation
2018
Association of Broad-Based Genomic Sequencing With Survival Among Patients With Advanced Non–Small Cell Lung Cancer in the Community Oncology Setting
Presley CJ, Tang D, Soulos PR, Chiang AC, Longtine JA, Adelson KB, Herbst RS, Zhu W, Nussbaum NC, Sorg RA, Agarwala V, Abernethy AP, Gross CP. Association of Broad-Based Genomic Sequencing With Survival Among Patients With Advanced Non–Small Cell Lung Cancer in the Community Oncology Setting. JAMA 2018, 320: 469-477. PMID: 30088010, PMCID: PMC6142984, DOI: 10.1001/jama.2018.9824.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDNA, NeoplasmFemaleGenes, erbB-1GenomicsGenotypeHumansImmunotherapyLung NeoplasmsMaleMiddle AgedMutationNeoplasm StagingReceptor Protein-Tyrosine KinasesRetrospective StudiesSequence Analysis, DNASurvival AnalysisConceptsAdvanced non-small cell lung cancerNon-small cell lung cancerCommunity oncology settingCell lung cancerLung cancerOncology settingRoutine testingNonsquamous non-small cell lung cancerTargeted treatmentPropensity score-matched survival analysisStage IIIB/IVFlatiron Health databaseIIIB/IVRetrospective cohort studyThird-line treatmentFirst-line treatmentMinority of patientsUnadjusted mortality ratesEGFR/ALKCohort studyOverall survivalSecondary outcomesUnmatched cohortPrimary outcomeAntineoplastic treatment