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
2021
Using 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
Acquired Resistance to HER2-Targeted Therapies Creates Vulnerability to ATP Synthase Inhibition
Gale M, Li Y, Cao J, Liu ZZ, Holmbeck MA, Zhang M, Lang SM, Wu L, Do Carmo M, Gupta S, Aoshima K, DiGiovanna MP, Stern DF, Rimm DL, Shadel GS, Chen X, Yan Q. Acquired Resistance to HER2-Targeted Therapies Creates Vulnerability to ATP Synthase Inhibition. Cancer Research 2020, 80: 524-535. PMID: 31690671, PMCID: PMC7002225, DOI: 10.1158/0008-5472.can-18-3985.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntineoplastic Combined Chemotherapy ProtocolsApoptosisBreast NeoplasmsCell ProliferationDrug Resistance, NeoplasmEnzyme InhibitorsFemaleHumansMiceMice, Inbred NODMice, SCIDMitochondrial Proton-Translocating ATPasesOligomycinsReceptor, ErbB-2TrastuzumabTumor Cells, CulturedXenograft Model Antitumor AssaysConceptsResistant cellsHER2-Targeted TherapyTrastuzumab-resistant tumorsNew therapeutic strategiesNovel potential targetDrug-free mediumAntibody therapySynthase inhibitionLow doseTherapeutic strategiesTrastuzumabBreast tumorsHER2TherapyAcquired ResistanceTumorsPotential targetMitochondrial respirationCellsSelective dependencyInhibitionMinimal changesNovel vulnerabilitiesATP synthase inhibitionOligomycin A
2018
Immunological differences between primary and metastatic breast cancer
Szekely B, Bossuyt V, Li X, Wali VB, Patwardhan GA, Frederick C, Silber A, Park T, Harigopal M, Pelekanou V, Zhang M, Yan Q, Rimm DL, Bianchini G, Hatzis C, Pusztai L. Immunological differences between primary and metastatic breast cancer. Annals Of Oncology 2018, 29: 2232-2239. PMID: 30203045, DOI: 10.1093/annonc/mdy399.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyBreast NeoplasmsDisease ProgressionDrug Resistance, NeoplasmFemaleGene Expression RegulationHumansImmunologic SurveillanceLymphocyte CountLymphocytes, Tumor-InfiltratingMiddle AgedMutation RateTumor EscapeTumor MicroenvironmentYoung AdultConceptsMetastatic breast cancerBreast cancerTherapeutic targetToll-like receptor pathway genesImmuno-oncology therapeutic targetsBreast cancer evolvesImmune proteasome expressionPD-L1 positivityCorresponding primary tumorsPotential therapeutic targetMHC class IImmune-related genesMetastatic cancer samplesLigand/receptor pairLymphocyte countT helperT-regsPD-L1Immune microenvironmentCytotoxic TPrimary tumorMastoid cellsDisease progressionTherapeutic combinationsMacrophage markersExceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement
Bellone S, Buza N, Choi J, Zammataro L, Gay L, Elvin J, Rimm DL, Liu Y, Ratner E, Schwartz PE, Santin AD. Exceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement. Clinical Cancer Research 2018, 24: 3282-3291. PMID: 29351920, PMCID: PMC6050068, DOI: 10.1158/1078-0432.ccr-17-1805.Peer-Reviewed Original ResearchMeSH KeywordsAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyComputational BiologyDrug Resistance, NeoplasmExome SequencingFemaleGene RearrangementHLA AntigensHumansMolecular Targeted TherapyMutationOvarian NeoplasmsPositron Emission Tomography Computed TomographyProgrammed Cell Death 1 ReceptorReceptors, Cell SurfaceRetreatmentT-LymphocytesTreatment OutcomeConceptsImmune checkpoint inhibitor pembrolizumabCheckpoint inhibitor pembrolizumabComplete clinical responseClinical responsePD-L1Ovarian carcinomaAberrant PD-L1 expressionPD-L1 surface expressionAnti-PD1 inhibitorsPD-L1 expressionRemarkable clinical responsesHigh-grade ovarian carcinomaStandard treatment modalityAlternative therapeutic optionClear cell featuresNovel treatment optionsSignificant side effectsT-cell lymphocytesWhole exome sequencing techniqueClin Cancer ResMetastatic human tumorsRecurrent diseaseComplete responseHeavy infiltrationTherapeutic options
2017
Impaired 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 ResearchMeSH KeywordsDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHistocompatibility Antigens Class IHumansLung NeoplasmsSignal TransductionConceptsImmune 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 mutationsDifferential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer
Schalper KA, Carvajal-Hausdorf D, McLaughlin J, Altan M, Velcheti V, Gaule P, Sanmamed MF, Chen L, Herbst RS, Rimm DL. Differential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer. Clinical Cancer Research 2017, 23: 370-378. PMID: 27440266, PMCID: PMC6350535, DOI: 10.1158/1078-0432.ccr-16-0150.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansIndoleamine-Pyrrole 2,3,-DioxygenaseInterferon-gammaInterleukin-10Lymphocytes, Tumor-InfiltratingMiddle AgedNeoplasm StagingRNA, MessengerV-Set Domain-Containing T-Cell Activation Inhibitor 1ConceptsNon-small cell lung cancerB7-H4PD-L1IDO-1Lung cancerLung carcinomaQuantitative immunofluorescenceIFNγ stimulationElevated PD-L1Major clinicopathologic variablesMultiplexed quantitative immunofluorescenceOptimal clinical trialsT-cell infiltratesCell lung cancerImmune evasion pathwaysHuman lung carcinomaLung adenocarcinoma A549Cancer Genome AtlasClinicopathologic variablesMarker levelsClinical trialsStage ITherapeutic resistanceTCGA datasetA549 cells
2014
Prognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303
Psyrri A, Lee JW, Pectasides E, Vassilakopoulou M, Kosmidis EK, Burtness BA, Rimm DL, Wanebo HJ, Forastiere AA. Prognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303. Clinical Cancer Research 2014, 20: 3023-3032. PMID: 24700741, PMCID: PMC4049169, DOI: 10.1158/1078-0432.ccr-14-0113.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarboplatinCarcinoma, Squamous CellCetuximabChemoradiotherapyDisease-Free SurvivalDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueHead and Neck NeoplasmsHumansInduction ChemotherapyKaplan-Meier EstimateMaleMiddle AgedMitogen-Activated Protein Kinase KinasesPaclitaxelPhosphatidylinositol 3-KinasesPrognosisProportional Hazards ModelsProto-Oncogene Proteins c-aktRas ProteinsSignal TransductionSquamous Cell Carcinoma of Head and NeckTissue Array AnalysisConceptsProgression-free survivalEvent-free survivalPhase II trialOverall survivalII trialTissue microarrayStage III/IV headMultivariable Cox proportional hazards modelsMultivariable Cox regression analysisNeck squamous cell cancerRAS/MAPK/ERKCox proportional hazards modelInsulin-like growth factor 1 receptorLarge prospective studiesCox regression analysisInferior overall survivalKaplan-Meier methodSquamous cell cancerLog-rank testGrowth factor 1 receptorProportional hazards modelPI3K/Akt pathwayFactor 1 receptorPI3K/AktEGF receptor
2013
High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer
Liu M, Mor G, Cheng H, Xiang X, Hui P, Rutherford T, Yin G, Rimm DL, Holmberg J, Alvero A, Silasi DA. High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer. Reproductive Sciences 2013, 20: 605-615. PMID: 23171677, PMCID: PMC3635069, DOI: 10.1177/1933719112461183.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorCarcinoma, Ovarian EpithelialDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmFemaleHumansHyaluronan ReceptorsKaplan-Meier EstimateKeratin-19Middle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsProportional Hazards ModelsRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeConceptsPutative ovarian cancer stem cellsOvarian cancer stem cellsProgression-free intervalCancer stem cellsRecurrent epithelial ovarian cancerShorter disease-free intervalShorter progression-free intervalDisease-free intervalResidual tumor volumeEpithelial ovarian cancerLog-rank testEpithelial ovarian cancer cellsIndependent significant predictorsAdvanced stage EOCOvarian cancer cellsStem cellsMean followObstetrics stageUnivariable analysisClinicopathologic featuresMultivariable analysisRetrospective studyPrognostic valueOvarian cancerTumor volume
2011
Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure
Peck AR, Witkiewicz AK, Liu C, Stringer GA, Klimowicz AC, Pequignot E, Freydin B, Tran TH, Yang N, Rosenberg AL, Hooke JA, Kovatich AJ, Nevalainen MT, Shriver CD, Hyslop T, Sauter G, Rimm DL, Magliocco AM, Rui H. Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure. Journal Of Clinical Oncology 2011, 29: 2448-2458. PMID: 21576635, PMCID: PMC3675698, DOI: 10.1200/jco.2010.30.3552.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCohort StudiesDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmEstrogen Receptor ModulatorsFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm ProteinsNuclear ProteinsPhosphorylationPhosphotyrosinePrognosisProtein Processing, Post-TranslationalSTAT5 Transcription FactorSurvival AnalysisTreatment FailureTumor Suppressor ProteinsYoung AdultConceptsNode-negative breast cancerCancer-specific survivalIndependent prognostic markerBreast cancerWhole tissue sectionsTherapy failurePrognostic markerTissue microarrayPathologist scoringMultivariate analysis patientsSystemic adjuvant therapyAdjuvant hormone therapyMarker of prognosisPoor clinical outcomeUseful predictive markerPredictors of responseNormal breast epitheliumTissue sectionsCohort IVAdjuvant therapyHormone therapyAnalysis patientsClinical outcomesDuctal carcinomaProspective studyIn vitro studies of dasatinib, its targets and predictors of sensitivity
Jilaveanu LB, Zito CR, Aziz SA, Chakraborty A, Davies MA, Camp RL, Rimm DL, Dudek A, Sznol M, Kluger HM. In vitro studies of dasatinib, its targets and predictors of sensitivity. Pigment Cell & Melanoma Research 2011, 24: 386-389. PMID: 21320292, PMCID: PMC4431976, DOI: 10.1111/j.1755-148x.2011.00835.x.Peer-Reviewed Original Research
2010
Molecular Analysis of Non–Small Cell Lung Cancer Identifies Subsets with Different Sensitivity to Insulin-like Growth Factor I Receptor Inhibition
Gualberto A, Dolled-Filhart M, Gustavson M, Christiansen J, Wang YF, Hixon ML, Reynolds J, McDonald S, Ang A, Rimm DL, Langer CJ, Blakely J, Garland L, Paz-Ares LG, Karp DD, Lee AV. Molecular Analysis of Non–Small Cell Lung Cancer Identifies Subsets with Different Sensitivity to Insulin-like Growth Factor I Receptor Inhibition. Clinical Cancer Research 2010, 16: 4654-4665. PMID: 20670944, PMCID: PMC2952544, DOI: 10.1158/1078-0432.ccr-10-0089.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, MonoclonalAntineoplastic AgentsCarcinoma, Non-Small-Cell LungClinical Trials, Phase II as TopicDrug Resistance, NeoplasmFemaleHormone AntagonistsHumansImmunoglobulins, IntravenousInsulin-Like Growth Factor IMaleMiceMolecular Diagnostic TechniquesNIH 3T3 CellsPrognosisRetrospective StudiesTissue Array AnalysisConceptsNon-small cell lung cancerPhase II studySquamous cell tumorsIGF-IRII studyCell tumorsStage IIIB/IV non-small cell lung cancerAdvanced non-small cell lung cancerCell lung cancerIGF-IR pathwayIGF-IR inhibitionIGF-IR expressionCombination of chemotherapyHigh response rateEpidermal growth factor receptorEpithelial-like tumorsInsulin receptor substrate-1Growth factor receptorHistologic subtypeTransitional tumorsReceptor therapyIGF-IILung cancerReceptor inhibitionIGF-IIR
2009
Association of constitutively activated hepatocyte growth factor receptor (Met) with resistance to a dual EGFR/Her2 inhibitor in non-small-cell lung cancer cells
Agarwal S, Zerillo C, Kolmakova J, Christensen JG, Harris LN, Rimm DL, DiGiovanna MP, Stern DF. Association of constitutively activated hepatocyte growth factor receptor (Met) with resistance to a dual EGFR/Her2 inhibitor in non-small-cell lung cancer cells. British Journal Of Cancer 2009, 100: 941-949. PMID: 19240716, PMCID: PMC2661782, DOI: 10.1038/sj.bjc.6604937.Peer-Reviewed Original ResearchConceptsEpidermal growth factor receptorEGFR/HER2 inhibitorsNSCLC cell linesDual EGFR/HER2 inhibitorsGrowth factor receptorMET inhibitorsHER2 inhibitorsUse of EGFREGFR tyrosine kinase inhibitorsCell lung cancer cellsFactor receptorMajority of patientsTreatment of NSCLCCell lung carcinomaTyrosine kinase inhibitorsPotential therapeutic advantagesSubset of tumorsLung cancer cellsCell linesCurrent clinical useReceptor TKTumor cell growthHepatocyte growth factor receptorMaximal growth inhibitionImportant molecular target
2008
Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer
Nadler Y, Camp RL, Giltnane JM, Moeder C, Rimm DL, Kluger HM, Kluger Y. Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer. Breast Cancer Research 2008, 10: r35. PMID: 18430249, PMCID: PMC2397537, DOI: 10.1186/bcr1998.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptors, EstrogenReceptors, ProgesteroneTranscription FactorsTreatment OutcomeConceptsNode-positive subsetHER2/neuProgesterone receptorBreast cancerEstrogen receptorBcl-2 expressionBAG-1 expressionImproved survivalBcl-2Anti-apoptotic mediator Bcl-2Breast tumorsSteroid receptor positivitySubset of patientsBAG-1Antihormonal therapyFavorable prognosisReceptor positivityMultivariable analysisPathological variablesEntire cohortPrognostic valuePrognostic markerImproved outcomesLarge cohortClinical development
2007
Quantitative Measurement of Epidermal Growth Factor Receptor Is a Negative Predictive Factor for Tamoxifen Response in Hormone Receptor–Positive Premenopausal Breast Cancer
Giltnane JM, Rydén L, Cregger M, Bendahl PO, Jirström K, Rimm DL. Quantitative Measurement of Epidermal Growth Factor Receptor Is a Negative Predictive Factor for Tamoxifen Response in Hormone Receptor–Positive Premenopausal Breast Cancer. Journal Of Clinical Oncology 2007, 25: 3007-3014. PMID: 17634479, DOI: 10.1200/jco.2006.08.9938.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkersBiopsy, NeedleBreast NeoplasmsDrug Resistance, NeoplasmErbB ReceptorsEstrogen AntagonistsFemaleHumansImmunohistochemistryMiddle AgedMultivariate AnalysisPredictive Value of TestsPremenopauseProbabilityProportional Hazards ModelsReceptors, EstrogenRisk AssessmentSensitivity and SpecificitySurvival AnalysisTamoxifenConceptsEpidermal growth factor receptorER-positive patientsEGFR expressionBreast cancerEstrogen receptorTamoxifen-treated patientsEarly breast cancerRecurrence-free survivalRandomized clinical trialsLow EGFR expressionSignificant beneficial effectAdjuvant tamoxifenGrowth factor receptorEndocrine therapyTamoxifen responseTamoxifen treatmentClinical trialsSitu protein expressionUntreated groupTissue microarrayPatientsBeneficial effectsProtein expressionFactor receptorTreatment effects