2024
High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC)
Moutafi M, Bates K, Aung T, Milian R, Xirou V, Vathiotis I, Gavrielatou N, Angelakis A, Schalper K, Salichos L, Rimm D. High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC). Journal For ImmunoTherapy Of Cancer 2024, 12: e009039. PMID: 38857914, PMCID: PMC11168162, DOI: 10.1136/jitc-2024-009039.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsProgrammed cell death protein 1Associated with OSCell lung cancerTissue microarray spotsTissue microarrayValidation cohortLung cancerNon-small cell lung cancer treated with immune checkpoint inhibitorsAssociated with resistance to immunotherapyCell death protein 1Resistance to immunotherapyAssociated with PFSProgression-free survivalSecreted frizzled-related protein 2Cox proportional-hazards model analysisCheckpoint inhibitorsImmunotherapy strategiesTumor compartmentsRetrospective cohortDiscovery cohortLong-term benefitsPatientsCD68
2023
Subsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma.
Horowitch B, Lee D, Ding M, Martinez-Morilla S, Aung T, Ouerghi F, Wang X, Wei W, Damsky W, Sznol M, Kluger H, Rimm D, Ishizuka J. Subsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma. Clinical Cancer Research 2023, 29: 2908-2918. PMID: 37233452, PMCID: PMC10524955, DOI: 10.1158/1078-0432.ccr-23-0215.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsHuman melanoma cell linesMelanoma cell linesPD-L1Validation cohortYale-New Haven HospitalCombination of ipilimumabPD-L1 markersImmune checkpoint blockadePD-L1 biomarkerNew Haven HospitalSTAT1 levelsCell linesWestern blot analysisCheckpoint inhibitorsCheckpoint blockadeClinical responseOverall survivalImproved survivalResistance of cancersMetastatic melanomaMelanoma responsePredict responseTreatment responseDistinct patternsDigital spatial profiling links beta-2-microglobulin expression with immune checkpoint blockade outcomes in head and neck squamous cell carcinoma
Gavrielatou N, Vathiotis I, Aung T, Shafi S, Burela S, Fernandez A, Moutafi M, Burtness B, Economopoulou P, Anastasiou M, Foukas P, Psyrri A, Rimm D. Digital spatial profiling links beta-2-microglobulin expression with immune checkpoint blockade outcomes in head and neck squamous cell carcinoma. Cancer Research Communications 2023, 3: 558-563. PMID: 37057033, PMCID: PMC10088911, DOI: 10.1158/2767-9764.crc-22-0299.Peer-Reviewed Original ResearchConceptsDigital spatial profilingB2M expressionOverall survivalM HNSCCImmunotherapy outcomesNeck squamous cell carcinoma (HNSCC) treatmentHigh beta-2 microglobulinSquamous cell carcinoma treatmentCell death protein 1Neck squamous cell carcinomaM expressionPretreatment biopsy samplesImmune checkpoint inhibitorsPD-L1 expressionImmune checkpoint markersDeath protein 1Squamous cell carcinomaB2MBeta-2-microglobulinBeta 2 microglobulin expressionImproved PFSCheckpoint inhibitorsMetastatic headCheckpoint markersImproved survival
2022
Baseline gene expression profiling determines long-term benefit to programmed cell death protein 1 axis blockade
Vathiotis I, Salichos L, Martinez-Morilla S, Gavrielatou N, Aung T, Shafi S, Wong P, Jessel S, Kluger H, Syrigos K, Warren S, Gerstein M, Rimm D. Baseline gene expression profiling determines long-term benefit to programmed cell death protein 1 axis blockade. Npj Precision Oncology 2022, 6: 92. PMID: 36522538, PMCID: PMC9755314, DOI: 10.1038/s41698-022-00330-3.Peer-Reviewed Original ResearchProgression-free survivalLong-term benefitsPredictive valueAnti-PD-1 therapyCell death protein 1Baseline tumor samplesImmune checkpoint inhibitorsAntitumor immune responseCohort of patientsDeath protein 1Gene expression profilesAdvanced diseaseCheckpoint inhibitorsAdvanced melanomaAxis blockadeImmunotherapy outcomesTreatment initiationEarly outcomesDisease progressionMalignant melanomaBaseline gene expressionImmune responseBaseline gene expression profilesExpression profilesTumor samplesLocation matters: LAG3 levels are lower in renal cell carcinoma metastatic sites compared to primary tumors, and expression at metastatic sites only may have prognostic importance
Schoenfeld D, Merkin R, Moutafi M, Martinez S, Adeniran A, Kumar D, Jilaveanu L, Hurwitz M, Rimm D, Kluger H. Location matters: LAG3 levels are lower in renal cell carcinoma metastatic sites compared to primary tumors, and expression at metastatic sites only may have prognostic importance. Frontiers In Oncology 2022, 12: 990367. PMID: 36313654, PMCID: PMC9608089, DOI: 10.3389/fonc.2022.990367.Peer-Reviewed Original ResearchRenal cell carcinomaImmune checkpoint inhibitorsMetastatic sitesBrain metastasesPrimary tumorMechanisms of resistancePD-1/PD-L1Anti-PD-1 therapyHigh-risk clinical characteristicsLarger primary tumor sizeAdvanced renal cell carcinomaAlternative immune checkpointsCertain drug regimensPoor-risk diseasePD-1 inhibitorsMinority of patientsPrimary tumor sizeLonger overall survivalGrade 4 tumorsProtein levelsPrimary RCC tumorsAttractive therapeutic targetIdentification of subgroupsCheckpoint inhibitorsUpfront therapyAssociation of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer
Gavrielatou N, Liu Y, Vathiotis I, Zugazagoitia J, Aung TN, Shafi S, Fernandez A, Schalper K, Psyrri A, Rimm DL. Association of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer. Clinical Cancer Research 2022, 28: clincanres.2649.2021. PMID: 34686497, PMCID: PMC8776595, DOI: 10.1158/1078-0432.ccr-21-2649.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerBest overall responsePD-L1 tumor proportion scorePD-1/PD-L1Immune checkpoint inhibitorsProgression-free survivalTumor proportion scoreCell lung cancerPD-L1Immunotherapy outcomesCheckpoint inhibitorsOverall survivalQuantitative immunofluorescenceLung cancerProportion scoreAdvanced non-small cell lung cancerLocal T cell responsesCell death protein 1Immunotherapy-treated patientsMultiplexed quantitative immunofluorescencePD-1 expressionPD-L1 expressionDeath protein 1Selection of patientsT cell responses
2021
The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
El Bairi K, Haynes HR, Blackley E, Fineberg S, Shear J, Turner S, de Freitas JR, Sur D, Amendola LC, Gharib M, Kallala A, Arun I, Azmoudeh-Ardalan F, Fujimoto L, Sua LF, Liu SW, Lien HC, Kirtani P, Balancin M, El Attar H, Guleria P, Yang W, Shash E, Chen IC, Bautista V, Do Prado Moura JF, Rapoport BL, Castaneda C, Spengler E, Acosta-Haab G, Frahm I, Sanchez J, Castillo M, Bouchmaa N, Md Zin RR, Shui R, Onyuma T, Yang W, Husain Z, Willard-Gallo K, Coosemans A, Perez EA, Provenzano E, Ericsson PG, Richardet E, Mehrotra R, Sarancone S, Ehinger A, Rimm DL, Bartlett JMS, Viale G, Denkert C, Hida AI, Sotiriou C, Loibl S, Hewitt SM, Badve S, Symmans WF, Kim RS, Pruneri G, Goel S, Francis PA, Inurrigarro G, Yamaguchi R, Garcia-Rivello H, Horlings H, Afqir S, Salgado R, Adams S, Kok M, Dieci MV, Michiels S, Demaria S, Loi S. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. Npj Breast Cancer 2021, 7: 150. PMID: 34853355, PMCID: PMC8636568, DOI: 10.1038/s41523-021-00346-1.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesImmune checkpoint inhibitorsInternational Immuno-Oncology Biomarker Working GroupBiomarker Working GroupBreast cancerTriple-negative breast cancerSubgroup of womenDeath-1Middle-income countriesPD-L1TIL analysisCytotoxic treatmentCancer settingPrognostic biomarkerClinical utilityClinical validityPatient advocatesWorking GroupClinical utilizationModern oncologyPatientsLymphocytesCancerFuture approachesImmunotherapy240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling
Moutafi M, Martinez-Morilla S, Divakar P, Vathiotis I, Gavrielatou N, Aung T, Yaghoobi V, Fernandez A, Fraile J, Schalper K, Rimm D. 240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling. 2021, a258-a258. DOI: 10.1136/jitc-2021-sitc2021.240.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsPre-treatment samplesQuantitative immunofluorescencePredictive biomarkersLung cancerHigh PD-L1 expressionExpression of CD66bInitial biomarker discoveryOperable NSCLC patientsStromal immune cellsTwo-sided significance levelPD-L1 expressionImmune checkpoint blockadeRole of neutrophilsCell lung cancerPotential predictive biomarkersGood predictive valueDigital spatial profilingDigital Spatial ProfilerCohort validationICI therapyCheckpoint inhibitorsCheckpoint blockadeNSCLC cohortNSCLC patientsProgrammed Death-Ligand 1 Tumor Proportion Score and Overall Survival From First-Line Pembrolizumab in Patients With Nonsquamous Versus Squamous NSCLC
Doroshow DB, Wei W, Gupta S, Zugazagoitia J, Robbins C, Adamson B, Rimm DL. Programmed Death-Ligand 1 Tumor Proportion Score and Overall Survival From First-Line Pembrolizumab in Patients With Nonsquamous Versus Squamous NSCLC. Journal Of Thoracic Oncology 2021, 16: 2139-2143. PMID: 34455068, PMCID: PMC8612948, DOI: 10.1016/j.jtho.2021.07.032.Peer-Reviewed Original ResearchConceptsPD-L1 tumor proportion scoreTumor proportion scoreHigh PD-L1 tumor proportion scoreOverall survivalNonsquamous histologySquamous NSCLCNonsquamous NSCLCPredictive biomarkersProportion scoreDeath ligand 1 (PD-L1) tumor proportion scoreElectronic health record-derived databaseFirst-line pembrolizumab therapyPD-1 expression levelsPD-L1 expression levelsCommunity oncology clinicsMedian OS differenceSingle-agent pembrolizumabImmune checkpoint inhibitorsImproved overall survivalMedian overall survivalPrimary end pointFirst-line pembrolizumabFirst-line therapyPD-L1 expressionPD-L1 testingCharacterization of the tumor immune microenvironment of triple-negative breast cancer (TNBC) patients who self-identify as African American (AA) or non-African American (NonAA).
Blenman K, Marczyk M, Qing T, O'Meara T, Yaghoobi V, Pelekanou V, Bai Y, Reisenbichler E, Li X, Gunasekharan V, Ibrahim E, Rimm D, Pusztai L, Cole K. Characterization of the tumor immune microenvironment of triple-negative breast cancer (TNBC) patients who self-identify as African American (AA) or non-African American (NonAA). Journal Of Clinical Oncology 2021, 39: 564-564. DOI: 10.1200/jco.2021.39.15_suppl.564.Peer-Reviewed Original ResearchTriple-negative breast cancerTumor immune microenvironmentAA patientsImmune microenvironmentWhole-exome sequencingAfrican AmericansTriple-negative breast cancer patientsYale Cancer CenterImmune checkpoint inhibitorsPD-L1 positivityPD-L1 expressionYear of diagnosisBreast cancer patientsCytokines/chemokinesImmune cell compositionTumor mutational burdenGermline whole-exome sequencingAge of diagnosisNegative breast cancerCorresponding clinical dataAllograft rejection pathwayNon-African AmericansSomatic mutationsFatty acid metabolismCheckpoint inhibitorsPD-L1 as a biomarker of response to immune-checkpoint inhibitors
Doroshow DB, Bhalla S, Beasley MB, Sholl LM, Kerr KM, Gnjatic S, Wistuba II, Rimm DL, Tsao MS, Hirsch FR. PD-L1 as a biomarker of response to immune-checkpoint inhibitors. Nature Reviews Clinical Oncology 2021, 18: 345-362. PMID: 33580222, DOI: 10.1038/s41571-021-00473-5.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsSelection of patientsPD-L1L1 antibodyImmunohistochemistry assaysPD-L1 immunohistochemistry assaysOutcomes of patientsBiomarkers of responseCompanion diagnostic assayTypes of cancerPD-1Clinical outcomesSelection biomarkerProspective comparisonClinical challengeNew therapiesFuture treatmentPatientsSolid tumorsClinical useSpecific agentsInter-assay variabilityBiomarkersCurrent roleDiagnostic assaysUsing Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma
Johannet P, Coudray N, Donnelly DM, Jour G, Illa-Bochaca I, Xia Y, Johnson DB, Wheless L, Patrinely JR, Nomikou S, Rimm DL, Pavlick AC, Weber JS, Zhong J, Tsirigos A, Osman I. Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma. Clinical Cancer Research 2021, 27: 131-140. PMID: 33208341, PMCID: PMC7785656, DOI: 10.1158/1078-0432.ccr-20-2415.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDisease ProgressionDrug Resistance, NeoplasmFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedImmune Checkpoint InhibitorsMachine LearningMaleMelanomaMiddle AgedNeoplasm StagingPrognosisProgression-Free SurvivalProspective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsConceptsProgression-free survivalImmune checkpoint inhibitorsLower riskClinicodemographic characteristicsAdvanced melanomaClinical dataWorse progression-free survivalICI treatment outcomesKaplan-Meier curvesBiomarkers of responseStandard of careCheckpoint inhibitorsICI responseImmunotherapy responseValidation cohortTraining cohortDisease progressionProspective validationTreatment outcomesHigh riskClinical practicePatientsROC curveProgressionRisk
2020
Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy
Martinez-Morilla S, Zugazagoitia J, Wong PF, Kluger HM, Rimm DL. Quantitative analysis of CMTM6 expression in tumor microenvironment in metastatic melanoma and association with outcome on immunotherapy. OncoImmunology 2020, 10: 1864909. PMID: 33457084, PMCID: PMC7781756, DOI: 10.1080/2162402x.2020.1864909.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPD-L1CMTM6 expressionControl patientsLonger survivalTissue microarrayQuantitative immunofluorescenceEffectiveness of immunotherapyMetastatic melanoma patientsDeath ligand 1Like MARVEL transmembrane domainCancer Genome Atlas (TCGA) databaseExpression of CMTM6MARVEL transmembrane domainExpression of mRNAChemokine-like factorICI treatmentCheckpoint inhibitorsPretreatment biopsiesCD68 markersImmune compartmentMultivariable analysisMelanoma patientsImmune-related proteinsPredictive factors
2019
Immunotherapy 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 ResearchConceptsAdverse eventsCTLA-4 inhibitorsImmune checkpoint inhibitorsDeath-1/Pericardial window procedureCheckpoint inhibitorsThird patientClinical presentationCardiac toxicityHistopathologic findingsSide effectsPericarditisPatientsDeath ligandsPotential mechanismsWindow procedureInhibitorsImmunotherapyNSCLCCardiotoxicityAutopsiesTherapyCorrection: RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors
Loi S, Dushyanthen S, Beavis PA, Salgado R, Denkert C, Savas P, Combs S, Rimm DL, Giltnane JM, Estrada MV, Sánchez V, Sanders ME, Cook RS, Pilkinton MA, Mallal SA, Wang K, Miller VA, Stephens PJ, Yelensky R, Doimi FD, Gómez H, Ryzhov SV, Darcy PK, Arteaga CL, Balko JM. Correction: RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors. Clinical Cancer Research 2019, 25: 1437-1437. PMID: 30770496, DOI: 10.1158/1078-0432.ccr-18-4264.Peer-Reviewed Original Research
2018
Association of B7-H4, PD-L1, and tumor infiltrating lymphocytes with outcomes in breast cancer
Altan M, Kidwell KM, Pelekanou V, Carvajal-Hausdorf DE, Schalper KA, Toki MI, Thomas DG, Sabel MS, Hayes DF, Rimm DL. Association of B7-H4, PD-L1, and tumor infiltrating lymphocytes with outcomes in breast cancer. Npj Breast Cancer 2018, 4: 40. PMID: 30564631, PMCID: PMC6288133, DOI: 10.1038/s41523-018-0095-1.Peer-Reviewed Original ResearchPD-L1 expressionBreast cancer intrinsic subtypesB7-H4Clinico-pathological variablesB7-H4 proteinPD-L1Breast cancerIntrinsic subtypesB7-H4 protein expressionCD28/B7 familyTumor PD-L1 expressionQuantitative immunofluorescenceTriple-negative breast cancerRelationship of tumorCo-inhibitory moleculesImmune checkpoint inhibitorsClinico-pathological characteristicsFraction of patientsNegative breast cancerTissue microarray formatBreast cancer casesPD-L1 proteinCheckpoint inhibitorsClinical benefitExclusive patternThe Society for Immunotherapy of Cancer consensus statement on immunotherapy for the treatment of non-small cell lung cancer (NSCLC)
Brahmer JR, Govindan R, Anders RA, Antonia SJ, Sagorsky S, Davies MJ, Dubinett SM, Ferris A, Gandhi L, Garon EB, Hellmann MD, Hirsch FR, Malik S, Neal JW, Papadimitrakopoulou VA, Rimm DL, Schwartz LH, Sepesi B, Yeap BY, Rizvi NA, Herbst RS. The Society for Immunotherapy of Cancer consensus statement on immunotherapy for the treatment of non-small cell lung cancer (NSCLC). Journal For ImmunoTherapy Of Cancer 2018, 6: 75. PMID: 30012210, PMCID: PMC6048854, DOI: 10.1186/s40425-018-0382-2.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsCell lung cancerCheckpoint inhibitorsLung cancerDurable responsesConsensus statementStage III non-small cell lung cancerAdvanced non-small cell lung cancerCancer consensus statementSequencing of therapySecond-line settingAppropriate patient selectionOnly treatment optionAdverse event managementCancer-related mortalityImmunotherapy of cancerEvidence-based recommendationsNew treatment approachesStrength of evidenceAdvanced diseasePatient selectionTargetable mutationsTreatment optionsCancer immunotherapy
2017
Implications of the tumor immune microenvironment for staging and therapeutics
Taube JM, Galon J, Sholl LM, Rodig SJ, Cottrell TR, Giraldo NA, Baras AS, Patel SS, Anders RA, Rimm DL, Cimino-Mathews A. Implications of the tumor immune microenvironment for staging and therapeutics. Modern Pathology 2017, 31: 214-234. PMID: 29192647, PMCID: PMC6132263, DOI: 10.1038/modpathol.2017.156.Peer-Reviewed Original ResearchConceptsTumor immune microenvironmentImmune microenvironmentTumor typesTumor microenvironmentAnti-PD-1/PD-L1Therapeutic targetPD-1/PD-L1 axisFirst line treatment algorithmHost antitumor immune responseEarly stage colorectal carcinomaLocal immune contextureImmune checkpoint inhibitorsPD-L1 axisAntitumor immune responseImmune-based therapiesPD-L1 antibodiesAbundance of CD8Th1 helper cellsNovel therapeutic targetPotential therapeutic targetPrimary organ siteNew candidate biomarkersNumerous tumor typesSpecific tumor typesCurrent TNMImpaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer
Gettinger S, Choi J, Hastings K, Truini A, Datar I, Sowell R, Wurtz A, Dong W, Cai G, Melnick MA, Du VY, Schlessinger J, Goldberg SB, Chiang A, Sanmamed MF, Melero I, Agorreta J, Montuenga LM, Lifton R, Ferrone S, Kavathas P, Rimm DL, Kaech SM, Schalper K, Herbst RS, Politi K. Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer. Cancer Discovery 2017, 7: cd-17-0593. PMID: 29025772, PMCID: PMC5718941, DOI: 10.1158/2159-8290.cd-17-0593.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPatient-derived xenograftsHLA class ILung cancerClass ICell surface HLA class ILung cancer mouse modelPD-1 blockadeStandard treatment algorithmCancer mouse modelLung cancer samplesDefective antigen processingCheckpoint inhibitorsPD-1Treatment algorithmMouse modelAntagonistic antibodiesDiverse malignanciesAntigen processingCancer samplesB2MHomozygous lossTumorsCancerRecurrent mutations