2021
BRCA1 Protein Expression Predicts Survival in Glioblastoma Patients from an NRG Oncology RTOG Cohort
Vassilakopoulou M, Won M, Curran WJ, Souhami L, Prados MD, Langer CJ, Rimm DL, Hanna JA, Neumeister VM, Melian E, Diaz AZ, Atkins JN, Komarnicky LT, Schultz CJ, Howard SP, Zhang P, Dicker AP, Knisely JPS. BRCA1 Protein Expression Predicts Survival in Glioblastoma Patients from an NRG Oncology RTOG Cohort. Oncology 2021, 99: 580-588. PMID: 33957633, PMCID: PMC8491475, DOI: 10.1159/000516168.Peer-Reviewed Original ResearchConceptsBRCA1 protein expressionTensin homolog (PTEN) tumor suppressor geneProtein expressionTumor suppressor geneQuantitative protein analysisDNA repairGenetic profiling studiesMolecular markersSuppressor geneProtein analysisProfiling studiesBRCA1 expressionSitu hybridizationExpression levelsTumor formationCommon malignant brain tumorCancer cellsTissue microarrayGlioblastoma tumorsExpressionPre-temozolomide eraGlioblastoma patientsSTING enhances cell death through regulation of reactive oxygen species and DNA damage
Hayman TJ, Baro M, MacNeil T, Phoomak C, Aung TN, Cui W, Leach K, Iyer R, Challa S, Sandoval-Schaefer T, Burtness BA, Rimm DL, Contessa JN. STING enhances cell death through regulation of reactive oxygen species and DNA damage. Nature Communications 2021, 12: 2327. PMID: 33875663, PMCID: PMC8055995, DOI: 10.1038/s41467-021-22572-8.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
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 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
2017
Whole-exome sequencing and immune profiling of early-stage lung adenocarcinoma with fully annotated clinical follow-up
Kadara H, Choi M, Zhang J, Parra ER, Rodriguez-Canales J, Gaffney SG, Zhao Z, Behrens C, Fujimoto J, Chow C, Yoo Y, Kalhor N, Moran C, Rimm D, Swisher S, Gibbons DL, Heymach J, Kaftan E, Townsend JP, Lynch TJ, Schlessinger J, Lee J, Lifton RP, Wistuba II, Herbst RS. Whole-exome sequencing and immune profiling of early-stage lung adenocarcinoma with fully annotated clinical follow-up. Annals Of Oncology 2017, 28: 75-82. PMID: 27687306, PMCID: PMC5982809, DOI: 10.1093/annonc/mdw436.Peer-Reviewed Original ResearchConceptsRecurrence-free survivalPoor recurrence-free survivalWhole-exome sequencingEarly-stage lung adenocarcinomaMutant lung adenocarcinomaLung adenocarcinomaImmune markersClinical outcomesExact testNatural killer cell infiltrationProportional hazards regression modelsGranzyme B levelsImmune marker analysisImmune profiling analysisPD-L1 expressionImmune-based therapiesTumoral PD-L1Hazards regression modelsKRAS mutant tumorsNormal lung tissuesMajority of deathsFisher's exact testHigh mutation burdenAnalysis of immunophenotypeRelevant molecular markers
2016
Automated measurement of estrogen receptor in breast cancer: a comparison of fluorescent and chromogenic methods of measurement
Zarrella ER, Coulter M, Welsh AW, Carvajal DE, Schalper KA, Harigopal M, Rimm D, Neumeister V. Automated measurement of estrogen receptor in breast cancer: a comparison of fluorescent and chromogenic methods of measurement. Laboratory Investigation 2016, 96: 1016-1025. PMID: 27348626, PMCID: PMC5008858, DOI: 10.1038/labinvest.2016.73.Peer-Reviewed Original ResearchEvaluation 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 tumorsValidation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial
Bartlett JM, Christiansen J, Gustavson M, Rimm DL, Piper T, van de Velde CJ, Hasenburg A, Kieback DG, Putter H, Markopoulos CJ, Dirix LY, Seynaeve C, Rea DW. Validation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial. Archives Of Pathology & Laboratory Medicine 2016, 140: 66-74. PMID: 26717057, DOI: 10.5858/arpa.2014-0599-oa.Peer-Reviewed Original ResearchConceptsHazard ratioBreast cancerResidual riskMultivariate Cox proportional hazardsDistant recurrence-free survivalClinical prognostic factorsEarly breast cancerRecurrence-free survivalSignificant prognostic valueCox proportional hazardsHER2/neuIHC4 scoreHormone therapyNodal statusTrial cohortPrognostic factorsPrognostic valueClinical trialsKi-67Proportional hazardsMultivariate analysisTEAM trialBiomarker expressionQuantitative immunofluorescenceResidual risk assessment
2015
Characterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites
Kluger HM, Zito CR, Barr ML, Baine MK, Chiang VL, Sznol M, Rimm DL, Chen L, Jilaveanu LB. Characterization of PD-L1 Expression and Associated T-cell Infiltrates in Metastatic Melanoma Samples from Variable Anatomic Sites. Clinical Cancer Research 2015, 21: 3052-3060. PMID: 25788491, PMCID: PMC4490112, DOI: 10.1158/1078-0432.ccr-14-3073.Peer-Reviewed Original ResearchConceptsPD-L1 expressionT-cell contentPD-1/PD-L1 inhibitorsHigher T-cell contentT-cell infiltratesPD-L1 inhibitorsAnatomic sitesBrain metastasesMetastatic melanomaTissue microarrayHigh PD-L1 expressionLess PD-L1 expressionLow PD-L1 expressionTumor PD-L1 expressionHigher TIL contentImproved overall survivalT cell infiltrationLess T cellsMetastatic melanoma samplesExtracerebral metastasesCerebral metastasesOverall survivalDermal metastasesImproved survivalPD-L1Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer
Carvajal-Hausdorf DE, Schalper KA, Pusztai L, Psyrri A, Kalogeras KT, Kotoula V, Fountzilas G, Rimm DL. Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer. Journal Of The National Cancer Institute 2015, 107: djv136. PMID: 25991002, PMCID: PMC4554192, DOI: 10.1093/jnci/djv136.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantClinical Trials as TopicDisease-Free SurvivalExtracellular SpaceFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansIntracellular SpaceKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisReceptor, ErbB-2Sensitivity and SpecificityTissue Array AnalysisTrastuzumabTreatment OutcomeConceptsHuman epidermal growth factor receptor 2ECD expressionICD statusLonger DFSQuantitative immunofluorescenceTrastuzumab therapyPrognostic valueBreast cancerTissue microarrayEpidermal growth factor receptor 2Adjuvant trastuzumab therapyDisease-free survival analysisTrastuzumab-treated patientsGrowth factor receptor 2High positive predictive valueHER2-positive tumorsKaplan-Meier estimatesFactor receptor 2ERBB2 gene amplificationHER2 protein expressionPositive predictive valueExtracellular domainAdjuvant chemotherapyHER2-ICDBetter DFSObjective Measurement and Clinical Significance of TILs in Non–Small Cell Lung Cancer
Schalper KA, Brown J, Carvajal-Hausdorf D, McLaughlin J, Velcheti V, Syrigos KN, Herbst RS, Rimm DL. Objective Measurement and Clinical Significance of TILs in Non–Small Cell Lung Cancer. Journal Of The National Cancer Institute 2015, 107: dju435. PMID: 25650315, PMCID: PMC4565530, DOI: 10.1093/jnci/dju435.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, CD20Carcinoma, Non-Small-Cell LungCD3 ComplexCD8 AntigensConfounding Factors, EpidemiologicFluorescent DyesHumansIndolesKaplan-Meier EstimateLung NeoplasmsLymphocytes, Tumor-InfiltratingMicroscopy, FluorescencePredictive Value of TestsRetrospective StudiesT-Lymphocytes, CytotoxicConceptsTumor-infiltrating lymphocytesLevels of CD3TIL subtypesMultivariable analysisTumor sizeLonger survivalAssociation of TILsLevel of TILsNon-small cell lung cancerNon-small cell lung cancer samplesLocal immune effectsClinico-pathologic characteristicsImmune checkpoint inhibitorsCell lung cancerCell lung cancer samplesLung cancer samplesDifferent tumor compartmentsObjective measurementsElevated CD3High CD20TIL markersTIL subpopulationsCheckpoint inhibitorsSmoking historyHistology type
2014
Prognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303
Psyrri A, Lee JW, Pectasides E, Vassilakopoulou M, Kosmidis EK, Burtness BA, Rimm DL, Wanebo HJ, Forastiere AA. Prognostic Biomarkers in Phase II Trial of Cetuximab-Containing Induction and Chemoradiation in Resectable HNSCC: Eastern Cooperative Oncology Group E2303. Clinical Cancer Research 2014, 20: 3023-3032. PMID: 24700741, PMCID: PMC4049169, DOI: 10.1158/1078-0432.ccr-14-0113.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarboplatinCarcinoma, Squamous CellCetuximabChemoradiotherapyDisease-Free SurvivalDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueHead and Neck NeoplasmsHumansInduction ChemotherapyKaplan-Meier EstimateMaleMiddle AgedMitogen-Activated Protein Kinase KinasesPaclitaxelPhosphatidylinositol 3-KinasesPrognosisProportional Hazards ModelsProto-Oncogene Proteins c-aktRas ProteinsSignal TransductionSquamous Cell Carcinoma of Head and NeckTissue Array AnalysisConceptsProgression-free survivalEvent-free survivalPhase II trialOverall survivalII trialTissue microarrayStage III/IV headMultivariable Cox proportional hazards modelsMultivariable Cox regression analysisNeck squamous cell cancerRAS/MAPK/ERKCox proportional hazards modelInsulin-like growth factor 1 receptorLarge prospective studiesCox regression analysisInferior overall survivalKaplan-Meier methodSquamous cell cancerLog-rank testGrowth factor 1 receptorProportional hazards modelPI3K/Akt pathwayFactor 1 receptorPI3K/AktEGF receptorIn Situ Tumor PD-L1 mRNA Expression Is Associated with Increased TILs and Better Outcome in Breast Carcinomas
Schalper KA, Velcheti V, Carvajal D, Wimberly H, Brown J, Pusztai L, Rimm DL. In Situ Tumor PD-L1 mRNA Expression Is Associated with Increased TILs and Better Outcome in Breast Carcinomas. Clinical Cancer Research 2014, 20: 2773-2782. PMID: 24647569, DOI: 10.1158/1078-0432.ccr-13-2702.Peer-Reviewed Original ResearchB7-H1 AntigenBreast NeoplasmsCell Line, TumorFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansIn Situ HybridizationKaplan-Meier EstimateLymphatic MetastasisLymphocytes, Tumor-InfiltratingMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalPrognosisReceptor, ErbB-2Receptors, EstrogenRNA, MessengerTissue Array AnalysisMarkers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC)
Pectasides E, Rampias T, Sasaki C, Perisanidis C, Kouloulias V, Burtness B, Zaramboukas T, Rimm D, Fountzilas G, Psyrri A. Markers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC). PLOS ONE 2014, 9: e94273. PMID: 24722213, PMCID: PMC3983114, DOI: 10.1371/journal.pone.0094273.Peer-Reviewed Original ResearchMeSH KeywordsAutomationBiomarkers, TumorCarcinoma, Squamous CellCohort StudiesEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimateMaleMultivariate AnalysisNeoplasm MetastasisPhenotypePrognosisProportional Hazards ModelsSquamous Cell Carcinoma of Head and NeckTreatment OutcomeConceptsProgression-free survivalSquamous cell carcinomaOverall survivalCell carcinomaE-cadherinPrimary squamous cell carcinomaNeck squamous cell carcinomaHigh-risk HNSCCKaplan-Meier analysisNovel therapeutic approachesMesenchymal transition phenotypeHigh metastatic potentialLow E-cadherinImproved OSInferior OSIndependent predictorsPoor prognosisCarcinoma prognosisClinicopathological parametersInclusion criteriaTherapeutic approachesTransition phenotypeMetastatic potentialMesenchymal transitionProtein expression analysis
2013
Expression of Drug Targets in Patients Treated with Sorafenib, Carboplatin and Paclitaxel
Jilaveanu LB, Zhao F, Zito CR, Kirkwood JM, Nathanson KL, D'Andrea K, Wilson M, Rimm DL, Flaherty KT, Lee SJ, Kluger HM. Expression of Drug Targets in Patients Treated with Sorafenib, Carboplatin and Paclitaxel. PLOS ONE 2013, 8: e69748. PMID: 23936348, PMCID: PMC3735539, DOI: 10.1371/journal.pone.0069748.Peer-Reviewed Original ResearchConceptsProgression-free survivalOverall survivalVEGF-R1FGF-R1Paclitaxel-based therapyVEGF-R1 expressionPre-treatment tumorsPredictive biomarker signaturesMultitarget kinase inhibitorPDGF-RβSitu protein expressionTherapeutic ratioTaxane sensitivityMitogen-activated protein kinase pathwayPatientsVEGF-R3CarboplatinSorafenibVEGF-R2C-kitKinase inhibitorsTherapyProtein expressionPhase IIISorafenib targetsMarginal and Joint Distributions of S100, HMB-45, and Melan-A Across a Large Series of Cutaneous Melanomas
Viray H, Bradley WR, Schalper KA, Rimm DL, Rothberg BE. Marginal and Joint Distributions of S100, HMB-45, and Melan-A Across a Large Series of Cutaneous Melanomas. Archives Of Pathology & Laboratory Medicine 2013, 137: 1063-73. PMID: 23899062, PMCID: PMC3963468, DOI: 10.5858/arpa.2012-0284-oa.Peer-Reviewed Original ResearchConceptsHMB-45Primary tumorCutaneous melanomaLarge seriesMelanoma-specific survivalMelanoma primary tumorsGroup of antigensLarge tissue microarrayClinicopathologic covariatesClinicopathologic criteriaPrognostic relevanceHistopathologic profileClinicopathologic correlatesAntigen expressionClinicopathologic parametersMelanoma markersTissue microarrayPositive expressionSurvival analysisMelanomaMelanS100Melanoma cellsBivariate associationsSignificant differencesHigh Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer
Liu M, Mor G, Cheng H, Xiang X, Hui P, Rutherford T, Yin G, Rimm DL, Holmberg J, Alvero A, Silasi DA. High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer. Reproductive Sciences 2013, 20: 605-615. PMID: 23171677, PMCID: PMC3635069, DOI: 10.1177/1933719112461183.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorCarcinoma, Ovarian EpithelialDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmFemaleHumansHyaluronan ReceptorsKaplan-Meier EstimateKeratin-19Middle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsProportional Hazards ModelsRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeConceptsPutative ovarian cancer stem cellsOvarian cancer stem cellsProgression-free intervalCancer stem cellsRecurrent epithelial ovarian cancerShorter disease-free intervalShorter progression-free intervalDisease-free intervalResidual tumor volumeEpithelial ovarian cancerLog-rank testEpithelial ovarian cancer cellsIndependent significant predictorsAdvanced stage EOCOvarian cancer cellsStem cellsMean followObstetrics stageUnivariable analysisClinicopathologic featuresMultivariable analysisRetrospective studyPrognostic valueOvarian cancerTumor volumeQuantitative Analysis of Estrogen Receptor Expression Shows SP1 Antibody Is More Sensitive Than 1D5
Welsh AW, Harigopal M, Wimberly H, Prasad M, Rimm DL. Quantitative Analysis of Estrogen Receptor Expression Shows SP1 Antibody Is More Sensitive Than 1D5. Applied Immunohistochemistry & Molecular Morphology 2013, 21: 139-147. PMID: 22820659, PMCID: PMC3482297, DOI: 10.1097/pai.0b013e31825d73b2.Peer-Reviewed Original Research
2012
Stathmin expression and its relationship to microtubule‐associated protein tau and outcome in breast cancer
Baquero MT, Hanna JA, Neumeister V, Cheng H, Molinaro AM, Harris LN, Rimm DL. Stathmin expression and its relationship to microtubule‐associated protein tau and outcome in breast cancer. Cancer 2012, 118: 4660-4669. PMID: 22359235, PMCID: PMC3391341, DOI: 10.1002/cncr.27453.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnalysis of VarianceBiomarkers, TumorBlotting, WesternBreastBreast NeoplasmsCell Line, TumorCohort StudiesFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm StagingOdds RatioPredictive Value of TestsPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsRNA, Small InterferingStathminTau ProteinsTissue Array AnalysisTreatment OutcomeConceptsHigh stathmin expressionDisease-free survivalMAP-tauOverall survivalStathmin expressionBreast cancerHuman epidermal growth factor receptor 2 (HER2) expressionEpidermal growth factor receptor 2 expressionMultivariate analysisCox proportional hazards modelWorse overall survivalReceptor 2 expressionTissue microarray formatMicrotubule-associated protein tauProportional hazards modelBreast cancer cohortIndependent predictorsMenopausal statusNodal statusBetter prognosisPrognostic valueTumor sizePathological characteristicsProgesterone receptorNuclear grade