2023
Stress Keratin 17 Is a Predictive Biomarker Inversely Associated with Response to Immune Check-Point Blockade in Head and Neck Squamous Cell Carcinomas and Beyond
Lozar T, Laklouk I, Golfinos A, Gavrielatou N, Xu J, Flynn C, Keske A, Yu M, Bruce J, Wang W, Kuhar C, Bailey H, Harari P, Dinh H, Rimm D, Hu R, Lambert P, Fitzpatrick M. Stress Keratin 17 Is a Predictive Biomarker Inversely Associated with Response to Immune Check-Point Blockade in Head and Neck Squamous Cell Carcinomas and Beyond. Cancers 2023, 15: 4905. PMID: 37835599, PMCID: PMC10571921, DOI: 10.3390/cancers15194905.Peer-Reviewed Original ResearchImmune check-point blockadeNeck squamous cell carcinomaCheck-point blockadeSquamous cell carcinomaCK17 expressionDisease controlHNSCC patientsCell carcinomaPredictive biomarkersResponse rateKeratin 17Pembrolizumab-based therapyPembrolizumab-treated patientsPD-L1 expressionProgression-free survivalRNA expressionIndependent retrospective cohortsIndependent validation cohortDecreased response rateLow response rateREMARK criteriaOverall survivalProgressive diseaseRetrospective cohortCXCL10 chemokines
2022
Proceedings From the ASCO/College of American Pathologists Immune Checkpoint Inhibitor Predictive Biomarker Summit.
Hayes D, Herbst R, Myles J, Topalian S, Yohe S, Aronson N, Bellizzi A, Basu Roy U, Bradshaw G, Edwards R, El-Gabry E, Elvin J, Gajewski T, McShane L, Oberley M, Philip R, Rimm D, Rosenbaum J, Rubin E, Schlager L, Sherwood S, Stewart M, Taube J, Thurin M, Vasalos P, Laser J. Proceedings From the ASCO/College of American Pathologists Immune Checkpoint Inhibitor Predictive Biomarker Summit. JCO Precision Oncology 2022, 6: e2200454. PMID: 36446042, PMCID: PMC10530621, DOI: 10.1200/po.22.00454.Peer-Reviewed Original ResearchConceptsICI therapyImmune checkpoint inhibition therapyDeath ligand 1 (PD-L1) expressionMultiple predictive biomarkersTumor biomarker testsCheckpoint inhibition therapyLigand 1 expressionDeath ligand 1Field of oncologyICI benefitPredictive factorsPredictive biomarkersInhibition therapyNeoantigen expressionBiomarker testsHealth insurance organizationsUS FoodDrug AdministrationAmerican PathologistsMedicaid ServicesTherapyBiomarker developmentNational InstituteLigand 1Clinical application
2021
240 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 testingMulti-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study
Taube JM, Roman K, Engle EL, Wang C, Ballesteros-Merino C, Jensen SM, McGuire J, Jiang M, Coltharp C, Remeniuk B, Wistuba I, Locke D, Parra ER, Fox BA, Rimm DL, Hoyt C. Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study. Journal For ImmunoTherapy Of Cancer 2021, 9: e002197. PMID: 34266881, PMCID: PMC8286792, DOI: 10.1136/jitc-2020-002197.Peer-Reviewed Original ResearchConceptsPD-1/PD-L1 axisPD-L1 axisMultiplexed immunofluorescenceTumor cellsBreast carcinomaNon-small cell lung cancer (NSCLC) tissuesCell lung cancer tissuesCell density assessmentPD-L1 expressionLung cancer tissuesTissue sectionsPercent positive cellsAverage concordanceClinical laboratory processPDL1 expressionMIF assayPD-1PD-L1Predictive biomarkersLow-level expressionPositive cellsCancer tissuesFluorescent detection reagentMultisite trialChromogenic assay
2020
Biomarkers 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 microarrayPD-L1 tumor proportion score and clinical benefit from first-line pembrolizumab in patients with advanced nonsquamous versus squamous non-small cell lung cancer (NSCLC).
Doroshow D, Wei W, Zugazagoitia J, Robbins C, Gupta S, Adamson B, Rimm D. PD-L1 tumor proportion score and clinical benefit from first-line pembrolizumab in patients with advanced nonsquamous versus squamous non-small cell lung cancer (NSCLC). Journal Of Clinical Oncology 2020, 38: 9539-9539. DOI: 10.1200/jco.2020.38.15_suppl.9539.Peer-Reviewed Original ResearchPD-L1 tumor proportion scoreNon-small cell lung cancerTumor proportion scoreMedian overall survivalFirst-line pembrolizumabOverall survivalLonger OSHazard ratioPD-L1Predictive biomarkersNS patientsProportion scoreSquamous non-small cell lung cancerAppropriate predictive biomarkersUnadjusted hazard ratioNSCLC tumor cellsLonger overall survivalCell lung cancerCheckpoint inhibitor useDe-identified databaseHistology interactionNonsquamous cancerSQ patientsSquamous histologyPrimary endpointPitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Kos Z, Roblin E, Kim RS, Michiels S, Gallas BD, Chen W, van de Vijver KK, Goel S, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Symmans WF, Sotiriou C, Rimm DL, Hewitt S, Denkert C, Loibl S, Luen SJ, Bartlett JMS, Savas P, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kok M, Horlings HM, Madabhushi A, van der Laak J, Ciompi F, Laenkholm AV, Bellolio E, Gruosso T, Fox SB, Araya JC, Floris G, Hudeček J, Voorwerk L, Beck AH, Kerner J, Larsimont D, Declercq S, Van den Eynden G, Pusztai L, Ehinger A, Yang W, AbdulJabbar K, Yuan Y, Singh R, Hiley C, Bakir MA, Lazar AJ, Naber S, Wienert S, Castillo M, Curigliano G, Dieci MV, André F, Swanton C, Reis-Filho J, Sparano J, Balslev E, Chen IC, Stovgaard EIS, Pogue-Geile K, Blenman KRM, Penault-Llorca F, Schnitt S, Lakhani SR, Vincent-Salomon A, Rojo F, Braybrooke JP, Hanna MG, Soler-Monsó MT, Bethmann D, Castaneda CA, Willard-Gallo K, Sharma A, Lien HC, Fineberg S, Thagaard J, Comerma L, Gonzalez-Ericsson P, Brogi E, Loi S, Saltz J, Klaushen F, Cooper L, Amgad M, Moore DA, Salgado R. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer. Npj Breast Cancer 2020, 6: 17. PMID: 32411819, PMCID: PMC7217863, DOI: 10.1038/s41523-020-0156-0.Peer-Reviewed Original ResearchStromal tumor-infiltrating lymphocytesEarly TNBCBreast cancerHER2-positive breast cancerTumor-infiltrating lymphocytesLymphocyte distributionStromal tumorsInflammatory cellsPredictive biomarkersTreatment selectionPrognostic toolClinical practiceOutcome estimatesLymphocytesReproducible assessmentTNBCTumorsCancerScoring guidelinesMultiple areasTumor boundariesRisk estimationImpact of discrepanciesRing studiesAssessmentApplication of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
Hudeček J, Voorwerk L, van Seijen M, Nederlof I, de Maaker M, van den Berg J, van de Vijver KK, Sikorska K, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Michiels S, Symmans WF, Sotiriou C, Rimm DL, Hewitt SM, Denkert C, Loibl S, Loi S, Bartlett JMS, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kos Z, Salgado R, Kok M, Horlings HM. Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials. Npj Breast Cancer 2020, 6: 15. PMID: 32436923, PMCID: PMC7217941, DOI: 10.1038/s41523-020-0155-1.Peer-Reviewed Original ResearchStromal tumor-infiltrating lymphocytesTriple-negative breast cancerMetastatic triple-negative breast cancerTumor-infiltrating lymphocytesClinical trialsBiomarker-driven clinical trialsPotential predictive biomarkersPotential risk factorsImmunotherapy trialsImmunotherapy responsePredictive biomarkersRisk factorsBreast cancerStratification factorsSpecific trialsIntegral biomarkerTrialsLymphocytesBiomarkersReliable assessmentReviewCancerBiomarkers in Precision Cancer Immunotherapy: Promise and Challenges.
McKean WB, Moser JC, Rimm D, Hu-Lieskovan S. Biomarkers in Precision Cancer Immunotherapy: Promise and Challenges. American Society Of Clinical Oncology Educational Book 2020, 40: e275-e291. PMID: 32453632, DOI: 10.1200/edbk_280571.Peer-Reviewed Original ResearchConceptsHost immune defectsPrecision cancer immunotherapyHealth care burdenCurrent treatment modalitiesSignificant side effectsSustained remissionClinical responseCheckpoint inhibitionImmune defectsRefractory malignanciesCancer immunotherapeuticsClinical benefitPatient survivalCancer immunotherapyPredictive biomarkersTreatment modalitiesCare burdenPatient responseSide effectsTrial designTumor parenchymaClinical useBiomarker developmentBiomarkersMultiple biomarkers
2019
Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma
Gupta S, McCann L, Chan YGY, Lai EW, Wei W, Wong PF, Smithy JW, Weidler J, Rhees B, Bates M, Kluger HM, Rimm DL. Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 254. PMID: 31533832, PMCID: PMC6751819, DOI: 10.1186/s40425-019-0731-9.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFollow-Up StudiesGene Expression ProfilingHumansInterferon Regulatory Factor-1MaleMelanomaMiddle AgedMonitoring, ImmunologicPrognosisProgrammed Cell Death 1 Ligand 2 ProteinProgression-Free SurvivalReal-Time Polymerase Chain ReactionRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSkin NeoplasmsConceptsCompanion diagnostic testsImmunotherapy outcomesMelanoma patientsClinical benefitAnti-PD-1 therapyImmune checkpoint inhibitor therapyMRNA expressionQuantitative immunofluorescenceDiagnostic testsCheckpoint inhibitor therapyReal-time quantitative reverse transcription polymerase chain reactionMetastatic melanoma patientsQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionTranscription-polymerase chain reactionYale Pathology archivesParaffin-embedded tissue sectionsAdjuvant settingICI therapyOS associationInhibitor therapyBaseline variablesMetastatic melanomaPredictive biomarkersPolymerase chain reaction
2018
An assessment of neuronal calcium sensor-1 and response to neoadjuvant chemotherapy in breast cancer patients
Moore LM, Wilkinson R, Altan M, Toki M, Carvajal-Hausdorf DE, McGuire J, Ehrlich BE, Rimm DL. An assessment of neuronal calcium sensor-1 and response to neoadjuvant chemotherapy in breast cancer patients. Npj Breast Cancer 2018, 4: 6. PMID: 29560416, PMCID: PMC5847580, DOI: 10.1038/s41523-018-0057-7.Peer-Reviewed Original ResearchTaxane-based neoadjuvant chemotherapyPathological complete responseNeuronal calcium sensor-1Neoadjuvant chemotherapyNCS-1 expressionBreast cancer patientsPoor clinical outcomeEfficacy of paclitaxelBreast cancer biopsiesComplete responseClinical outcomesCancer patientsPredictive biomarkersBreast cancerCancer biopsiesChemotherapyElevated expressionPaclitaxelPrevious studiesResponseBiopsyPatientsExpressionTaxanesCancer
2016
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. 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 2016, 22: 1499-1509. PMID: 26515496, PMCID: PMC4794351, DOI: 10.1158/1078-0432.ccr-15-1125.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB7-H1 AntigenBiomarkersCell Line, TumorDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingHumansImmunomodulationImmunophenotypingLymphocytes, Tumor-InfiltratingMiceMitogen-Activated Protein KinasesMortalityPhenotypeProgrammed Cell Death 1 ReceptorProtein Kinase InhibitorsRas ProteinsSignal TransductionTranscriptomeTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerTumor-infiltrating lymphocytesImmune checkpoint inhibitorsResidual diseaseNeoadjuvant chemotherapyBreast cancerPD-L1Checkpoint inhibitorsMHC expressionMouse modelPD-1/PD-L1 immune checkpoint inhibitorsPD-L1 immune checkpoint inhibitorsPresence of TILsPD-1/PD-L1Low tumor-infiltrating lymphocytesPD-L1/PDAntitumor immune responseRAS/MAPK activationCell-surface MHC expressionMAPK activationImproved survivalImproved prognosisPredictive biomarkersClinical trialsImmune response
2014
ERβ splice variant expression in four large cohorts of human breast cancer patient tumors
Wimberly H, Han G, Pinnaduwage D, Murphy LC, Yang XR, Andrulis IL, Sherman M, Figueroa J, Rimm DL. ERβ splice variant expression in four large cohorts of human breast cancer patient tumors. Breast Cancer Research And Treatment 2014, 146: 657-667. PMID: 25007965, PMCID: PMC6939385, DOI: 10.1007/s10549-014-3050-3.Peer-Reviewed Original ResearchConceptsBreast cancerPatient tumorsERβ variantsQuantitative immunofluorescenceBreast cancer patient tumorsTriple-negative patientsBreast cancer outcomesAbsence of ERαBreast cancer biologyCancer patient tumorsBreast cancer patient samplesSplice variant expressionCancer patient samplesParaffin-embedded tissuesQIF scoresCancer outcomesPredictive biomarkersWorse outcomesEstrogen receptorLarge cohortSurvival analysisERβPatient samplesAQUA technologyVariant expression
2013
TOP2A protein by quantitative immunofluorescence as a predictor of response to epirubicin in the neoadjuvant treatment of breast cancer
Moretti E, Desmedt C, Biagioni C, Regan MM, Oakman C, Larsimont D, Galardi F, Piccart-Gebhart M, Sotiriou C, Rimm DL, Di Leo A. TOP2A protein by quantitative immunofluorescence as a predictor of response to epirubicin in the neoadjuvant treatment of breast cancer. Future Oncology 2013, 9: 1477-1487. PMID: 24106899, DOI: 10.2217/fon.13.103.Peer-Reviewed Original ResearchConceptsPathologic complete responseBreast cancerQIF scoresQuantitative immunofluorescenceEstrogen receptor-negative breast cancerReceptor-negative breast cancerMultifactorial predictive modelKi-67 levelsPredictors of responseNegative predictive roleAnthracycline sensitivityNeoadjuvant epirubicinNeoadjuvant treatmentPretreatment biopsiesComplete responseHER2 statusPredictive biomarkersC quartilesHER2 gene statusPredictive roleTOP2A mRNAAbstractTextHost factorsTotal scoreGene status
2011
Gefitinib or Placebo in Combination with Tamoxifen in Patients with Hormone Receptor–Positive Metastatic Breast Cancer: A Randomized Phase II Study
Osborne CK, Neven P, Dirix LY, Mackey JR, Robert J, Underhill C, Schiff R, Gutierrez C, Migliaccio I, Anagnostou VK, Rimm DL, Magill P, Sellers M. Gefitinib or Placebo in Combination with Tamoxifen in Patients with Hormone Receptor–Positive Metastatic Breast Cancer: A Randomized Phase II Study. Clinical Cancer Research 2011, 17: 1147-1159. PMID: 21220480, PMCID: PMC3074404, DOI: 10.1158/1078-0432.ccr-10-1869.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsDrug-Related Side Effects and Adverse ReactionsErbB ReceptorsFemaleGefitinibHumansMiddle AgedNeoplasms, Hormone-DependentPlacebosQuinazolinesReceptor, ErbB-2Receptors, EstrogenSignal TransductionTamoxifenTreatment OutcomeConceptsAdjuvant aromatase inhibitorsMetastatic breast cancerBreast cancerHormone receptor-positive metastatic breast cancerPositive metastatic breast cancerRandomized phase II studyRandomized phase II trialClinical benefit ratePhase II studyPhase II trialProgression-free survivalStratum 1Epidermal growth factor receptor inhibitor gefitinibFurther investigationAdjuvant tamoxifenImproved PFSPFS HRAI therapyII studyII trialMetastatic diseaseAppropriate patientsPredictive biomarkersPrimary tumorTamoxifen resistance
2007
Quantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome
Zerkowski MP, Camp RL, Burtness BA, Rimm DL, Chung GG. Quantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome. Cancer Investigation 2007, 25: 19-26. PMID: 17364553, DOI: 10.1080/07357900601128825.Peer-Reviewed Original ResearchConceptsCOX-2 expressionCOX-2Tissue microarrayBreast cancerEstrogen receptorPrognostic factorsWorse survivalProgesterone receptorX-tileOptimal cutpointHigh COX-2 expressionBreast cancer tissue microarrayX-tile analysisSignificant prognostic factorsPrimary breast cancerCOX-2 inhibitorsCancer tissue microarrayHER2/neuClinicopathologic factorsNodal statusPoor outcomePoor prognosisTumor sizePredictive biomarkersClinical trials