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
2019
Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF, Wei W, Smithy JW, Acs B, Toki MI, Blenman K, Zelterman D, Kluger HM, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma. Clinical Cancer Research 2019, 25: 2442-2449. PMID: 30617133, PMCID: PMC6467753, DOI: 10.1158/1078-0432.ccr-18-2652.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedMolecular Targeted TherapyNeoplasm StagingROC CurveT-Lymphocyte SubsetsConceptsCell countTIL activationQuantitative immunofluorescenceLymphocytic infiltrationMelanoma patientsMetastatic melanomaAnti-PD-1 responseAnti-PD-1 therapyCell death 1 (PD-1) inhibitionAbsence of immunotherapyDeath-1 (PD-1) inhibitionDisease control rateProgression-free survivalCD8 cell countsTumor-Infiltrating LymphocytesNew predictive biomarkersWhole tissue sectionsRECIST 1.1Progressive diseaseDurable responsesObjective responsePartial responseImmunotherapy outcomesLymphocyte profilesMultivariable analysis
2018
Clinical Features and Management of Acquired Resistance to PD-1 Axis Inhibitors in 26 Patients With Advanced Non–Small Cell Lung Cancer
Gettinger SN, Wurtz A, Goldberg SB, Rimm D, Schalper K, Kaech S, Kavathas P, Chiang A, Lilenbaum R, Zelterman D, Politi K, Herbst R. Clinical Features and Management of Acquired Resistance to PD-1 Axis Inhibitors in 26 Patients With Advanced Non–Small Cell Lung Cancer. Journal Of Thoracic Oncology 2018, 13: 831-839. PMID: 29578107, PMCID: PMC6485248, DOI: 10.1016/j.jtho.2018.03.008.Peer-Reviewed Original ResearchConceptsPD-1 axis inhibitorsNon-small cell lung cancerAdvanced non-small cell lung cancerCell lung cancerInhibitor therapyLocal therapyLymph nodesLung cancerSurvival rateSolid Tumors v1.1Response Evaluation CriteriaSite of diseaseProgression of diseaseProgressive diseaseClinical patternLN metastasisSuch patientsClinical featuresMedian timeRadiographic featuresTumor regressionProlonged benefitPatientsTherapyResponse criteria
2017
Nuclear IRF-1 expression as a mechanism to assess “Capability” to express PD-L1 and response to PD-1 therapy in metastatic melanoma
Smithy JW, Moore LM, Pelekanou V, Rehman J, Gaule P, Wong PF, Neumeister VM, Sznol M, Kluger HM, Rimm DL. Nuclear IRF-1 expression as a mechanism to assess “Capability” to express PD-L1 and response to PD-1 therapy in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2017, 5: 25. PMID: 28331615, PMCID: PMC5359951, DOI: 10.1186/s40425-017-0229-2.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, PharmacologicalDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyInterferon Regulatory Factor-1IpilimumabMaleMelanomaMiddle AgedNeoplasm MetastasisNeoplasms, Second PrimaryNivolumabProgrammed Cell Death 1 ReceptorConceptsProgression-free survivalObjective radiographic responsePD-L1 expressionPD-L1IRF-1 expressionMetastatic melanomaAnti-PD-1 therapyCombination ipilimumab/nivolumabHigh PD-L1 expressionAnti-PD-1 immunotherapyYale-New Haven HospitalIpilimumab/nivolumabPD-1 therapyPR/CRPre-treatment formalinRECIST v1.1 criteriaDeath ligand 1Valuable predictive biomarkerMajor unmet needNew Haven HospitalInterferon regulatory factor 1Combination ipilimumabProgressive diseaseRadiographic responseComplete response
2009
Uniformly positive (>80%) HER2 expression maximizes sensitivity and specificity for prediction of response to trastuzumab in CALGB 9840.
Rimm D, Broadwater G, Friedman P, Berry D, Seidman A, Hudis C, Winer E, Harris L, Thor A. Uniformly positive (>80%) HER2 expression maximizes sensitivity and specificity for prediction of response to trastuzumab in CALGB 9840. Cancer Research 2009, 69: 6046. DOI: 10.1158/0008-5472.sabcs-6046.Peer-Reviewed Original ResearchPrediction of responseHER2 expressionCooperative group clinical trialsPositive HER2 expressionGroup clinical trialReceiver operator characteristic curveOperator characteristic curveSubset of casesArea of expressionHeterogeneity of expressionHER2 stainingTH armNeoadjuvant settingStable diseaseProgressive diseaseRECIST criteriaPartial responseClinical outcomesCAP guidelinesPatient selectionPercentage of tissueT therapyClinical trialsHER2 testsLarge cohort