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 benefitsPatientsCD68Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma.
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma. Clinical Cancer Research 2024, 30: 3520-3532. PMID: 38837895, PMCID: PMC11326985, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchGene signatureResistance to immunotherapyResponse to immunotherapyPrediction of treatment outcomeResistant to treatmentAccurate prediction of treatment outcomePredictive of responseImmunotherapy outcomesMelanoma patientsMelanoma specimensValidation cohortPatient stratificationDiscovery cohortTreatment outcomesImmunotherapyMelanomaTumorPatientsCohortS100BOutcomesGene expression dataGenesCD68+macrophagesExpression data
2023
Correlation of HER2 Protein Level With mRNA Level Quantified by RNAscope in Breast Cancer
Li X, Lee J, Gao Y, Zhang J, Bates K, Rimm D, Zhang H, Smith G, Lawson D, Meisel J, Chang J, Huo L. Correlation of HER2 Protein Level With mRNA Level Quantified by RNAscope in Breast Cancer. Modern Pathology 2023, 37: 100408. PMID: 38135153, DOI: 10.1016/j.modpat.2023.100408.Peer-Reviewed Original ResearchHER2 protein levelsHER2-low breast cancerT-DXdBreast cancerRNA levelsProtein levelsHER2 expressionEarly-stage breast cancerIHC H-scoresTrastuzumab deruxtecanTissue microarray coresClinical trialsMetastatic biopsiesImmunohistochemical assaysH-scoreDrug AdministrationResponse rateUS FoodPatientsIHC assaysCancerRNAscopeRegression analysisCell linesImmunofluorescence scores
2022
Examination of Low ERBB2 Protein Expression in Breast Cancer Tissue
Fernandez AI, Liu M, Bellizzi A, Brock J, Fadare O, Hanley K, Harigopal M, Jorns JM, Kuba MG, Ly A, Podoll M, Rabe K, Sanders MA, Singh K, Snir OL, Soong TR, Wei S, Wen H, Wong S, Yoon E, Pusztai L, Reisenbichler E, Rimm DL. Examination of Low ERBB2 Protein Expression in Breast Cancer Tissue. JAMA Oncology 2022, 8: 1-4. PMID: 35113160, PMCID: PMC8814969, DOI: 10.1001/jamaoncol.2021.7239.Peer-Reviewed Original ResearchConceptsBreast cancer biopsiesT-DXdCancer biopsiesLarge randomized clinical trialsRandomized clinical trialsERBB2 protein expressionCentral pathology laboratoryBreast cancer tissuesAmerican Pathologists surveysStudy of concordanceTrastuzumab deruxtecanERBB2 positivityPatient populationClinical trialsScore 0Breast cancerImmunohistochemistry scoreCancer tissuesIHC assaysPatientsPathology laboratoryProtein expressionBiopsyIHCConcordanceThe Effect of Black Cohosh on Ki67 expression and Tumor Volume: A Pilot Study of Ductal Carcinoma in Situ Patients
Trant A, Chagpar A, Wei W, Neumeister V, Rimm D, Stavris K, Lurie B, Frederick C, Andrejeva L, Raghu M, Killelea B, Horowitz N, Lannin D, Knill-Selby E, Sturrock T, Hofstatter E. The Effect of Black Cohosh on Ki67 expression and Tumor Volume: A Pilot Study of Ductal Carcinoma in Situ Patients. Integrative Cancer Therapies 2022, 21: 15347354221137290. PMID: 36444764, PMCID: PMC9716631, DOI: 10.1177/15347354221137290.Peer-Reviewed Original ResearchConceptsTumor volumeBlack cohoshSitu patientsDuctal carcinomaAnti-inflammatory effectsTumor cellular proliferationBreast cancer treatmentCellular proliferationWilcoxon signed-rank testDCIS patientsAdverse eventsEligible subjectsWindow trialsCore biopsyInvasive diseaseKi67 expressionSigned-rank testBreast cancerGrade 3Hormone changesPatientsQuantitative immunofluorescenceBC extractSignificant toxicityCancer treatment
2021
What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study
Pizzamiglio S, Cosentino G, Ciniselli CM, De Cecco L, Cataldo A, Plantamura I, Triulzi T, El‐abed S, Wang Y, Bajji M, Nuciforo P, Huober J, Ellard SL, Rimm DL, Gombos A, Daidone MG, Verderio P, Tagliabue E, Di Cosimo S, Iorio MV. What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study. Cancer Medicine 2021, 11: 332-339. PMID: 34921525, PMCID: PMC8729061, DOI: 10.1002/cam4.4449.Peer-Reviewed Original ResearchConceptsHER2-positive breast cancer patientsEvent-free survivalBreast cancer patientsNeoadjuvant therapyCancer patientsPathological complete response rateSingle-agent trastuzumabTwo-miRNA signatureComplete response rateDifferential clinical outcomesPredictive miRNA signatureTrastuzumab armBaseline biopsiesClinical outcomesPathological variablesPrognostic valueUnivariate analysisAgent trastuzumabPrognostic signatureResponse ratePatientsTissue miRNAsMiRNA expression profilesMiRNA signatureMultivariate modelQuantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study
Yaghoobi V, Moutafi M, Aung TN, Pelekanou V, Yaghoubi S, Blenman K, Ibrahim E, Vathiotis IA, Shafi S, Sharma A, O’Meara T, Fernandez AI, Pusztai L, Rimm DL. Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study. Breast Cancer Research 2021, 23: 113. PMID: 34906209, PMCID: PMC8670126, DOI: 10.1186/s13058-021-01493-w.Peer-Reviewed Original ResearchConceptsNegative breast cancerT cellsTumor microenvironmentAA patientsImmune cellsAA tumorsBreast cancerPurposeTriple-negative breast cancerAfrican AmericansTriple-negative breast cancerCase-control studySignificant differencesActivated T cellsImmunologic biomarkersPD-L1Lymphocytic infiltrationLymphoid infiltrationImmune microenvironmentControl cohortTNBC tumorsMyeloid markersQuantitative immunofluorescenceMean expression levelPatientsTNBCThe 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 approachesImmunotherapyDeep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
Farahmand S, Fernandez AI, Ahmed FS, Rimm DL, Chuang JH, Reisenbichler E, Zarringhalam K. Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer. Modern Pathology 2021, 35: 44-51. PMID: 34493825, PMCID: PMC10221954, DOI: 10.1038/s41379-021-00911-w.Peer-Reviewed Original ResearchConceptsHER2 statusBreast cancerTreatment responseHER2-positive breast cancerAnti-HER2 agentsPre-treatment samplesNeoadjuvant chemotherapyTrastuzumab therapyClinical outcomesClinical evaluationProtein immunohistochemistryHER2 amplificationTrastuzumab responseTumor stainTreatment selectionTCGA testPathology teamTumor regionCancer featuresCancerPatientsHER2Current standardImmunohistochemistryHematoxylinP33.02 Comparison of PD-L1 Protein Expression Between Primary and Metastatic Lesions in Lung Cancer Patients
Moutafi M, Tao W, Huang R, Haberberger J, Alexander B, Ramkissoon S, Ross J, Syrigos K, Wei W, Pusztai L, Rimm D, Vathiotis I. P33.02 Comparison of PD-L1 Protein Expression Between Primary and Metastatic Lesions in Lung Cancer Patients. Journal Of Thoracic Oncology 2021, 16: s405-s406. DOI: 10.1016/j.jtho.2021.01.671.Peer-Reviewed Original ResearchPD-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
PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer
Ahmed FS, Gaule P, McGuire J, Patel K, Blenman K, Pusztai L, Rimm DL. PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer. Clinical Cancer Research 2020, 26: 5456-5461. PMID: 32709714, PMCID: PMC7572612, DOI: 10.1158/1078-0432.ccr-20-1303.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBiomarkers, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMacrophagesMiddle AgedNeoadjuvant TherapyProgrammed Cell Death 1 ReceptorTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerPD-L1 expressionNeoadjuvant durvalumabTumor cellsImmune cellsBreast cancerPretreatment core-needle biopsiesPhase I/II clinical trialsPD-L1 protein expressionIMpassion 130 trialCore needle biopsyAmount of CD68Neoadjuvant settingMetastatic settingPD-L1Clinical trialsNeedle biopsyInsufficient tissuePatientsCD68Stromal compartmentQuantitative immunofluorescenceChemotherapyFinal analysisProtein expression
2019
Quantitative assessments and clinical outcomes in HER2 equivocal 2018 ASCO/CAP ISH group 4 breast cancer
Gupta S, Neumeister V, McGuire J, Song YS, Acs B, Ho K, Weidler J, Wong W, Rhees B, Bates M, Rimm DL, Bossuyt V. Quantitative assessments and clinical outcomes in HER2 equivocal 2018 ASCO/CAP ISH group 4 breast cancer. Npj Breast Cancer 2019, 5: 28. PMID: 31482108, PMCID: PMC6715641, DOI: 10.1038/s41523-019-0122-x.Peer-Reviewed Original ResearchBreast cancerQuantitative immunofluorescenceIHC 0/1Systemic treatmentRT-qPCRClinical Oncology/CollegeAdditional outcome informationProtein expressionReal-time quantitative reverse transcription polymerase chain reactionHER2 protein levelsQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionTranscription-polymerase chain reactionASCO/CAP recommendationsRNA/protein expressionQIF scoresPatient characteristicsClinical outcomesTrastuzumab treatmentSurvival outcomesPolymerase chain reactionIHC 2Treatment decisionsCAP recommendationsPatientsImmunotherapy 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 workBiomarkersSurvivalMultiplexed (18-Plex) Measurement of Signaling Targets and Cytotoxic T Cells in Trastuzumab-Treated Patients using Imaging Mass Cytometry
Carvajal-Hausdorf DE, Patsenker J, Stanton KP, Villarroel-Espindola F, Esch A, Montgomery RR, Psyrri A, Kalogeras KT, Kotoula V, Foutzilas G, Schalper KA, Kluger Y, Rimm DL. Multiplexed (18-Plex) Measurement of Signaling Targets and Cytotoxic T Cells in Trastuzumab-Treated Patients using Imaging Mass Cytometry. Clinical Cancer Research 2019, 25: 3054-3062. PMID: 30796036, PMCID: PMC6522272, DOI: 10.1158/1078-0432.ccr-18-2599.Peer-Reviewed Original ResearchConceptsTrastuzumab-treated patientsT cell infiltrationCD8 T cell infiltrationCohort of patientsCytotoxic T cellsMass cytometryCase-control seriesExtracellular domainMechanism of actionTrastuzumab benefitAdjuvant treatmentCD8 cellsRecurrence eventsT cellsAntibody panelImmune systemPatientsMetal-conjugated antibodiesQuantitative immunofluorescenceTrastuzumabImaging Mass CytometryHER2Signaling targetsObjective measurementsCytometryPhenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer
Barrera C, Corredor G, Wang X, Schalper K, Rimm D, Velcheti V, Madabhushi A, Castro E. Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Progress In Biomedical Optics And Imaging 2019, 10956: 1095607-1095607-8. DOI: 10.1117/12.2513048.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesTIL densityLung cancerEarly stage non-small cell lung cancer patientsNon-small cell lung cancer patientsCell lung cancer patientsEarly-stage lung cancerKaplan-Meier analysisLung cancer patientsStage lung cancerLikelihood of recurrenceBetter prognosisLate recurrenceCancer patientsDifferent cancer typesDisease outcomeRecurrenceDifferent subtypesCancer typesLymphocytesCancerPatientsPrognosisIndependent validationAddressing the dichotomy between individual and societal approaches to personalised medicine in oncology
Salgado R, Solit DB, Rimm DL, Bogaerts J, Canetta R, Lively T, Lyerly K, Span PN, Bateman-House A, Makady A, Bergmann L, Nagai S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Lambin P, Thomas M, Harris L, Lacombe D, Massard C, Bernards R, Bogaerts J, Canetta R, Sullivan R, Tejpar S, Lukinova N, Lyerly H, Moore H, Smith M, Yee L, DuBois R, Hahn W, Janne P, Solit D, Willman C, Rimm D, Bateman-House A, Makady A, Bergmann L, Nagai S, Thomas M, Cree I, Hegde P, Hopper S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Ingelman-Sundberg M, Nichols G, Maignen F, Besse B, Swierzewski R, Lambin P, Kiermaier A, Lacombe D, Lively T, Massard C, Caliguri M, Velculescu V, Foggi P, Hahn W, Lukinova N, Salgado R, Golfinopoulos V. Addressing the dichotomy between individual and societal approaches to personalised medicine in oncology. European Journal Of Cancer 2019, 114: 128-136. PMID: 31060925, DOI: 10.1016/j.ejca.2019.03.025.Peer-Reviewed Original ResearchConceptsReal-world evidenceClinical trialsSystemic therapeutic interventionsNovel clinical trialsNovel trial designsCancer clinical researchComprehensive tumor profilingHealth care delivery systemTumor-derived DNAIndividual molecular profileCancer drug developmentGold standard approachPatient tumorsClinical utilityTrial designTherapeutic interventionsTumor profilingPatient advocatesClinical researchMolecular profileDrug developmentTrialsPhysician autonomyDelivery systemPatientsImmune 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 procedureInhibitorsImmunotherapyNSCLCCardiotoxicityAutopsiesTherapy
2018
Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement
Johnson DB, Nixon MJ, Wang Y, Wang DY, Castellanos E, Estrada MV, Ericsson-Gonzalez PI, Cote CH, Salgado R, Sanchez V, Dean PT, Opalenik SR, Schreeder DM, Rimm DL, Kim JY, Bordeaux J, Loi S, Horn L, Sanders ME, Ferrell PB, Xu Y, Sosman JA, Davis RS, Balko JM. Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement. JCI Insight 2018, 3: e120360. PMID: 30568030, PMCID: PMC6338319, DOI: 10.1172/jci.insight.120360.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAnimalsAntibodies, NeutralizingAntigens, CDBreast NeoplasmsCD4-Positive T-LymphocytesCell Line, TumorHistocompatibility Antigens Class IIHLA-DR AntigensHumansImmunotherapyKiller Cells, NaturalLigandsLymphocyte Activation Gene 3 ProteinMiceProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellReceptors, Cell SurfaceT-LymphocytesTumor MicroenvironmentConceptsMHC-II expressionT cellsAnti-PD-1 therapyTumor cellsPD-1 pathwayTumor-intrinsic factorsPD-1-targeted immunotherapiesMHC-II receptorsDurable responsesPD-1Immune activationImmunotherapy targetPreclinical modelsLAG-3TumorsUnique patternMHCEnhanced expressionInhibitory functionAdaptive resistanceNovel inhibitory functionImmunotherapyPatientsContext-dependent mechanismsCells