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 scoresStress 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
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 model
2017
PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors
Kluger HM, Zito CR, Turcu G, Baine M, Zhang H, Adeniran A, Sznol M, Rimm DL, Kluger Y, Chen L, Cohen JV, Jilaveanu LB. PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors. Clinical Cancer Research 2017, 23: 4270-4279. PMID: 28223273, PMCID: PMC5540774, DOI: 10.1158/1078-0432.ccr-16-3146.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-L1 expressionRenal cell carcinomaPD-1 inhibitorsCell carcinomaImmune-infiltrating cellsMelanoma patientsPD-L1Tumor cellsTumor typesTumor-associated inflammatory cellsCTLA-4 inhibitorsCell lung cancerRenal cell carcinoma cellsHigh response rateClin Cancer ResCell linesMelanoma tumor cellsPD-1Multivariable analysisNSCLC specimensInflammatory cellsLung cancerTissue microarrayResponse rateImmune marker profiling and PD-L1, PD-L2 expression mechanisms across non-small cell lung cancer mutations.
Toki M, Mani N, Smithy J, Liu Y, Altan M, Wasserman B, Tuktamyshov R, Syrigos K, Rimm D. Immune marker profiling and PD-L1, PD-L2 expression mechanisms across non-small cell lung cancer mutations. Journal Of Clinical Oncology 2017, 35: 9076-9076. DOI: 10.1200/jco.2017.35.15_suppl.9076.Peer-Reviewed Original ResearchNon-small cell lung cancerEpidermal growth factor receptorPD-L1 expressionPD-L2 expressionPD-L1Stroma expressionTIL activationKRAS mutantPD-1/PD-L1 axis inhibitorsMutation statusResponse rateProximity ligation assayHigh PD-L1 levelsActivation statusProgrammed Death Ligand 1EGFR mutantsHigh PD-L1NSCLC patient tumorsTherapy response ratesPD-L1 levelsDeath ligand 1Cell lung cancerEGFR-mutant tumorsPD-L1 tumorsHigh response rateEffects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial.
Pelekanou V, Barlow W, von Wahlde M, Wasserman B, Lo Y, Hayes D, Hortobagyi G, Gralow J, Tripathy D, Livingston R, Porter P, Nahleh Z, Rimm D, Pusztai L. Effects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial. Journal Of Clinical Oncology 2017, 35: 519-519. DOI: 10.1200/jco.2017.35.15_suppl.519.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant chemotherapyNAC armTIL countClinical trialsImmune parametersNAC samplesBaseline PD-L1 expressionPathologic complete response rateDose-dense doxorubicinComplete response ratePD-L1 immunohistochemistryHER2-negative casesMinority of casesNab-paclitaxelResidual diseaseMean changeResponse rateLogistic regressionTILsBaselineEpithelial cellsHigh PCRChemotherapyTumors
2011
Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts
Baquero MT, Lostritto K, Gustavson MD, Bassi KA, Appia F, Camp RL, Molinaro AM, Harris LN, Rimm DL. Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts. Breast Cancer Research 2011, 13: r85. PMID: 21888627, PMCID: PMC3262195, DOI: 10.1186/bcr2937.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCohort StudiesCyclophosphamideCytoplasmDocetaxelDoxorubicinEpithelial CellsFemaleFluorouracilHumansKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRetrospective StudiesSurvival RateTau ProteinsTaxoidsConceptsOverall survivalBreast cancer cohortTreatment armsPredictive markerCancer cohortPredictive valueResponse rateConventional whole tissue sectionsMAP-tauImproved overall survivalHigh expressionMicrotubule associated protein tauTaxane-based chemotherapyKaplan-Meier analysisLonger median timeUseful predictive markerCox univariate analysisIndependent breast cancer cohortsWhole tissue sectionsFAC chemotherapyLonger TTPMedian timeMeier analysisPrognostic valueClinicopathologic variables
2004
Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma
Divito KA, Berger AJ, Camp RL, Dolled-Filhart M, Rimm DL, Kluger HM. Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma. Cancer Research 2004, 64: 8773-8777. PMID: 15574790, DOI: 10.1158/0008-5472.can-04-1387.Peer-Reviewed Original ResearchConceptsBcl-2 expressionHigh Bcl-2 expressionTissue microarrayMetastatic specimensResponse rateSmall cohortProgression-free survivalImproved response ratesLarge patient cohortMelanoma patientsClark levelEntire cohortBreslow depthClinical variablesPatient cohortMetastatic melanomaContinuous index scoreBetter outcomesIndex scoreMelanoma specimensCohortMelanomaBcl-2PatientsOutcomes