2021
Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade
Berry S, Giraldo NA, Green BF, Cottrell TR, Stein JE, Engle EL, Xu H, Ogurtsova A, Roberts C, Wang D, Nguyen P, Zhu Q, Soto-Diaz S, Loyola J, Sander IB, Wong PF, Jessel S, Doyle J, Signer D, Wilton R, Roskes JS, Eminizer M, Park S, Sunshine JC, Jaffee EM, Baras A, De Marzo AM, Topalian SL, Kluger H, Cope L, Lipson EJ, Danilova L, Anders RA, Rimm DL, Pardoll DM, Szalay AS, Taube JM. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade. Science 2021, 372 PMID: 34112666, PMCID: PMC8709533, DOI: 10.1126/science.aba2609.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFluorescent Antibody TechniqueForkhead Transcription FactorsHumansImmune Checkpoint ProteinsMacrophagesMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReceptors, Cell SurfaceSingle-Cell AnalysisSOXE Transcription FactorsT-Lymphocyte SubsetsTreatment OutcomeTumor MicroenvironmentConceptsAnti-programmed cell death 1Anti-PD-1 blockadePD-1 blockadeCell death 1Tissue-based biomarkersLong-term survivalTumor tissue sectionsDeath-1PD-1PD-L1Immunoregulatory moleculesT cellsIndependent cohortMyeloid cellsMelanoma specimensMultiple cell typesTissue sectionsLow/BlockadeCell typesDistinct expression patternsExpression patternsImagingCD8Foxp3Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer
Moutafi MK, Tao W, Huang R, Haberberger J, Alexander B, Ramkissoon S, Ross JS, Syrigos K, Wei W, Pusztai L, Rimm DL, Vathiotis IA. Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer. Journal For ImmunoTherapy Of Cancer 2021, 9: e002230. PMID: 33833050, PMCID: PMC8039214, DOI: 10.1136/jitc-2020-002230.Peer-Reviewed Original ResearchConceptsPD-L1 expressionMetastatic lesionsLung cancer casesLung cancerCancer casesAdvanced stage non-small cell lung cancerNon-small cell lung cancerNon-squamous histologyCell lung cancerFuture patient managementDefinite diagnostic testSquamous histologyFoundation MedicineLymph nodesRoutine careHistologic subtypeMetastatic sitesPrimary lesionRetrospective studyAdrenal glandPrimary tumorPleural fluidPatient managementTrial designDrug AdministrationAn independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
Perincheri S, Levi AW, Celli R, Gershkovich P, Rimm D, Morrow JS, Rothrock B, Raciti P, Klimstra D, Sinard J. An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy. Modern Pathology 2021, 34: 1588-1595. PMID: 33782551, PMCID: PMC8295034, DOI: 10.1038/s41379-021-00794-x.Peer-Reviewed Original ResearchConceptsMemorial Sloan-Kettering Cancer CenterCore biopsyPredictive valueDiagnostic accuracyProstate core needle biopsiesCore needle biopsySurgical pathology practiceNegative predictive valueProstate core biopsiesPositive predictive valueProstate cancer detectionStrong diagnostic accuracyPoor quality scansCancer detectionCancer CenterProstate biopsyLeading causeNeedle biopsyTransrectal approachProstate cancerProstatic adenocarcinomaProstate carcinomaBiopsyPathology practiceProstateA new tool for technical standardization of the Ki67 immunohistochemical assay
Aung TN, Acs B, Warrell J, Bai Y, Gaule P, Martinez-Morilla S, Vathiotis I, Shafi S, Moutafi M, Gerstein M, Freiberg B, Fulton R, Rimm DL. A new tool for technical standardization of the Ki67 immunohistochemical assay. Modern Pathology 2021, 34: 1261-1270. PMID: 33536573, PMCID: PMC8222064, DOI: 10.1038/s41379-021-00745-6.Peer-Reviewed Original ResearchAutomated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, Taback B, Geskin LJ, Horst B, Gardner K, Niedt G, Celebi JT, Gartrell-Corrado RD, Messina J, Ferringer T, Rimm DL, Saltz J, Wang J, Vanguri R, Saenger YM. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports 2021, 11: 2809. PMID: 33531581, PMCID: PMC7854647, DOI: 10.1038/s41598-021-82305-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiopsyChemotherapy, AdjuvantClinical Decision-MakingDeep LearningFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNeoplasm StagingPatient SelectionPrognosisRetrospective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsYoung AdultConceptsTumor-infiltrating lymphocytesDisease-specific survivalEarly-stage melanomaOpen-source deep learningCutoff valueMultivariable Cox proportional hazards analysisCox proportional hazards analysisDeep learningLow-risk patientsProportional hazards analysisKaplan-Meier analysisAccurate prognostic biomarkersEosin imagesAccuracy of predictionAdjuvant therapyRisk patientsSpecific survivalPrognostic valueValidation cohortReceiver operating curvesTraining cohortTIL analysisClinical trialsPrimary melanomaPrognostic biomarker
2020
Comparison of PD-L1 protein expression between primary tumors and metastatic lesions in triple negative breast cancers
Rozenblit M, Huang R, Danziger N, Hegde P, Alexander B, Ramkissoon S, Blenman K, Ross JS, Rimm DL, Pusztai L. Comparison of PD-L1 protein expression between primary tumors and metastatic lesions in triple negative breast cancers. Journal For ImmunoTherapy Of Cancer 2020, 8: e001558. PMID: 33239417, PMCID: PMC7689582, DOI: 10.1136/jitc-2020-001558.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overB7-H1 AntigenFemaleHumansMiddle AgedNeoplasm MetastasisRetrospective StudiesTriple Negative Breast NeoplasmsConceptsPD-L1 positivity ratePD-L1 positivityPD-L1 expressionDifferent metastatic sitesPrimary tumorMetastatic sitesPositivity rateImmune cellsMetastatic lesionsTumor cellsPD-L1 protein expressionTriple-negative breast cancerMore primary tumorsTriple negative breast cancer tumorsPrimary breast lesionsPrimary outcome measureSoft tissueNegative breast cancerLow positivity rateBreast cancer tumorsBone metastasesFoundation MedicineLymph nodesPD-L1Spearman correlation coefficientBiomarkers 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 microarray
2019
An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
Acs B, Ahmed FS, Gupta S, Wong P, Gartrell RD, Sarin Pradhan J, Rizk EM, Gould Rothberg BE, Saenger YM, Rimm DL. An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma. Nature Communications 2019, 10: 5440. PMID: 31784511, PMCID: PMC6884485, DOI: 10.1038/s41467-019-13043-2.Peer-Reviewed Original ResearchConceptsOpen sourceOpen source softwareSource softwareTIL scoreTraining setDisease-specific overall survivalHigh TIL scorePoor prognosis cohortsSubset of patientsAlgorithmIndependent prognostic markerBroad adoptionAssessment of tumorOverall survivalFavorable prognosisMelanoma patientsMultivariable analysisValidation cohortIndependent associationPrognostic markerSeparate patientsPrognostic variablesIndependent cohortRetrospective collectionMelanomaDeep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM, Robinson EJ, Pradhan J, Gartrell-Corrado RD, Rohr BR, Trager MH, Geskin LJ, Kluger HM, Wong PF, Acs B, Rizk EM, Yang C, Mondal M, Moore MR, Osman I, Phelps R, Horst BA, Chen ZS, Ferringer T, Rimm DL, Wang J, Saenger YM. Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death. Clinical Cancer Research 2019, 26: 1126-1134. PMID: 31636101, PMCID: PMC8142811, DOI: 10.1158/1078-0432.ccr-19-1495.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlgorithmsArea Under CurveBiopsyDeep LearningDisease ProgressionFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedMaleMelanomaMiddle AgedNeoplasm Recurrence, LocalNeural Networks, ComputerRetrospective StudiesRisk FactorsStaining and LabelingSurvival RateYoung AdultConceptsDeep neural network architectureNeural network architectureDeep learningNetwork architectureComputational modelImage sequencesDigital imagesVote aggregationDisease-specific survivalDSS predictionPractical advancesComputational methodsIHC-based methodsImagesGeisinger Health SystemNovel methodGHS patientsArchitectureLearningKaplan-Meier analysisPrimary melanoma tumorsEarly-stage melanomaClinical trial designModelAdjuvant immunotherapyMultiplex 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 analysisExpression and clinical significance of PD-L1, B7-H3, B7-H4 and TILs in human small cell lung Cancer (SCLC)
Carvajal-Hausdorf D, Altan M, Velcheti V, Gettinger SN, Herbst RS, Rimm DL, Schalper KA. Expression and clinical significance of PD-L1, B7-H3, B7-H4 and TILs in human small cell lung Cancer (SCLC). Journal For ImmunoTherapy Of Cancer 2019, 7: 65. PMID: 30850021, PMCID: PMC6408760, DOI: 10.1186/s40425-019-0540-1.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overB7 AntigensB7-H1 AntigenBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansKaplan-Meier EstimateLung NeoplasmsLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRetrospective StudiesSmall Cell Lung CarcinomaV-Set Domain-Containing T-Cell Activation Inhibitor 1ConceptsSmall cell lung cancerCell lung cancerB7-H4B7-H3Lung cancerPD-L1Non-small cell lung cancerBackgroundSmall cell lung cancerAnti-tumor immune responseHuman small cell lung cancerQuantitative immunofluorescenceB7 family ligandsLevels of TILsMultiplexed quantitative immunofluorescenceLevels of CD3Effector T cellsImmune checkpoint blockersPromising clinical activityTissue microarray formatLymphocyte subsetsCheckpoint blockersOverall survivalLung malignancyClinicopathological variablesMarker levels
2018
Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study
Acs B, Pelekanou V, Bai Y, Martinez-Morilla S, Toki M, Leung SCY, Nielsen TO, Rimm DL. Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study. Laboratory Investigation 2018, 99: 107-117. PMID: 30181553, DOI: 10.1038/s41374-018-0123-7.Peer-Reviewed Original ResearchExceptional 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 optionsClinical 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 ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansImmunotherapyLung NeoplasmsMaleMiddle AgedConceptsPD-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
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 rate
2016
Non-malignant respiratory epithelial cells preferentially proliferate from resected non-small cell lung cancer specimens cultured under conditionally reprogrammed conditions
Gao B, Huang C, Kernstine K, Pelekanou V, Kluger Y, Jiang T, Peters-Hall JR, Coquelin M, Girard L, Zhang W, Huffman K, Oliver D, Kinose F, Haura E, Teer JK, Rix U, Le AT, Aisner DL, Varella-Garcia M, Doebele RC, Covington KR, Hampton OA, Doddapaneni HV, Jayaseelan JC, Hu J, Wheeler DA, Shay JW, Rimm DL, Gazdar A, Minna JD. Non-malignant respiratory epithelial cells preferentially proliferate from resected non-small cell lung cancer specimens cultured under conditionally reprogrammed conditions. Oncotarget 2016, 5: 11114-11126. PMID: 28052041, PMCID: PMC5355251, DOI: 10.18632/oncotarget.14366.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsAdultAgedAged, 80 and overBase SequenceCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationCells, CulturedCoculture TechniquesDNA Copy Number VariationsDNA Mutational AnalysisEpithelial CellsFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedMutationRespiratory MucosaTumor Cells, CulturedConceptsNon-small cell lung cancerRespiratory epithelial cellsNon-malignant lungCell lung cancerCRC culturesLung cancerEpithelial cellsResected non-small cell lung cancerPrimary lung cancerNon-malignant samplesLung epithelial cellsRho-kinase inhibitorNon-malignant cellsPrimary NSCLCPrimary tumorDiploid patternOriginal tumorTumor specimensTumor tissueTumorsKinase inhibitorsCancerCancer cellsMRNA expression profilesSmall subpopulationEGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma
Toki MI, Carvajal-Hausdorf DE, Altan M, McLaughlin J, Henick B, Schalper KA, Syrigos KN, Rimm DL. EGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma. Journal Of Thoracic Oncology 2016, 11: 1901-1911. PMID: 27449805, PMCID: PMC5075503, DOI: 10.1016/j.jtho.2016.06.025.Peer-Reviewed Original ResearchConceptsEGFR pathway activationSeries of patientsLung adenocarcinomaMutation statusEGFR expressionPathway activationProximity ligation assayKRAS wild-type tumorsEGFR-mutant patientsKRAS-mutant casesCohort of patientsWild-type tumorsInteraction of EGFREGFR expression levelsEGFR protein expressionMAPK/ERK pathwayGrowth factor receptorActive EGFRPrognostic factorsDifferent mutation statusPatient groupPrognostic valueLonger survivalEGFR mutationsPrognostic markerEvaluation of PD-L1 Expression and Associated Tumor-Infiltrating Lymphocytes in Laryngeal Squamous Cell Carcinoma
Vassilakopoulou M, Avgeris M, Velcheti V, Kotoula V, Rampias T, Chatzopoulos K, Perisanidis C, Kontos CK, Giotakis AI, Scorilas A, Rimm D, Sasaki C, Fountzilas G, Psyrri A. Evaluation of PD-L1 Expression and Associated Tumor-Infiltrating Lymphocytes in Laryngeal Squamous Cell Carcinoma. Clinical Cancer Research 2016, 22: 704-713. PMID: 26408403, DOI: 10.1158/1078-0432.ccr-15-1543.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overB7-H1 AntigenBiomarkers, TumorCarcinoma, Squamous CellFemaleFollow-Up StudiesGene ExpressionHumansImmunohistochemistryKaplan-Meier EstimateLaryngeal NeoplasmsLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsRNA, MessengerConceptsLaryngeal squamous cell carcinomaSquamous cell carcinomaPrimary laryngeal squamous cell carcinomaPD-L1 expressionTumor-infiltrating lymphocytesPD-L1 mRNA expressionTIL densityCell carcinomaAssessment of TILsLaryngeal squamous cell cancerStromal tumor-infiltrating lymphocytesSuperior disease-free survivalTumor PD-L1 expressionMRNA expressionPD-L1 protein expressionPD-L1 mRNA levelsHigher TIL densityImmune checkpoint inhibitorsPD-L1 levelsDisease-free survivalT cell infiltrationSquamous cell cancerSecond independent cohortAdjacent tissue specimensFresh-frozen tumors
2015
PLEKHA5 as a Biomarker and Potential Mediator of Melanoma Brain Metastasis
Jilaveanu LB, Parisi F, Barr ML, Zito CR, Cruz-Munoz W, Kerbel RS, Rimm DL, Bosenberg MW, Halaban R, Kluger Y, Kluger HM. PLEKHA5 as a Biomarker and Potential Mediator of Melanoma Brain Metastasis. Clinical Cancer Research 2015, 21: 2138-2147. PMID: 25316811, PMCID: PMC4397107, DOI: 10.1158/1078-0432.ccr-14-0861.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCell Line, TumorFemaleFluorescent Antibody TechniqueGene Expression ProfilingHumansImage Processing, Computer-AssistedIntracellular Signaling Peptides and ProteinsMaleMelanomaMiddle AgedNeoplasm InvasivenessTissue Array AnalysisTranscriptomeYoung AdultConceptsCell line modelsBlood-brain barrierBrain metastasesGene expression profilesGene expression profilingExpression profilingExpression profilesPLEKHA5Brain metastasis-free survivalA375P cellsQuantitative immunofluorescenceEarly brain metastasisMelanoma brain metastasesMetastasis-free survivalProfile of patientsPotential mediatorsProtein levelsMetastatic melanoma casesEarly developmentMelanoma cellsKnockdownDecrease proliferationBBB transmigrationExtracerebral sitesMetastatic sitesCharacterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencing
Kunstman JW, Juhlin CC, Goh G, Brown TC, Stenman A, Healy JM, Rubinstein JC, Choi M, Kiss N, Nelson-Williams C, Mane S, Rimm DL, Prasad ML, Höög A, Zedenius J, Larsson C, Korah R, Lifton RP, Carling T. Characterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencing. Human Molecular Genetics 2015, 24: 2318-2329. PMID: 25576899, PMCID: PMC4380073, DOI: 10.1093/hmg/ddu749.Peer-Reviewed Original Research