2021
Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer
MacNeil T, Vathiotis IA, Shafi S, Aung TN, Zugazagoitia J, Gruver AM, Driscoll K, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer. Cancers 2021, 13: 5501. PMID: 34771664, PMCID: PMC8583434, DOI: 10.3390/cancers13215501.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesPancreatic ductal adenocarcinomaCancer-associated fibroblastsImmune checkpoint blockadePancreatic cancerCheckpoint blockadePDAC patientsTumor microenvironmentQuantitative immunofluorescenceExpression levelsProgression-free survivalLarge retrospective cohortMajority of patientsPotential prognostic valueLow tumor immunogenicityPotential clinical utilityDesmoplastic tumor microenvironmentImmunoinhibitory proteinOverall survivalRetrospective cohortIndependent predictorsImmunotherapy drugsPrognostic significancePrognostic valueTumor expressionBRCA1 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 patients
2014
Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time
Vassilakopoulou M, Parisi F, Siddiqui S, England AM, Zarella ER, Anagnostou V, Kluger Y, Hicks DG, Rimm DL, Neumeister VM. Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time. Laboratory Investigation 2014, 95: 334-341. PMID: 25418580, DOI: 10.1038/labinvest.2014.139.Peer-Reviewed Original ResearchConceptsCold ischemic timeIschemic timeFormalin fixationCompanion diagnostic testingCancer patientsBreast cancerTissue microarrayPhospho-HSP27Breast tumorsDiagnostic testingQuantitative immunofluorescenceAQUA technologyPreanalytical variablesGene expression profilingLoss of antigenicityTissue samplesReproducible assessmentProtein levelsConfidence intervalsSpecimen collectionExpression levelsPhosphorylation levelsAntigenicityRoutine usageResearch settingsA tissue quality index: an intrinsic control for measurement of effects of preanalytical variables on FFPE tissue
Neumeister VM, Parisi F, England AM, Siddiqui S, Anagnostou V, Zarrella E, Vassilakopolou M, Bai Y, Saylor S, Sapino A, Kluger Y, Hicks DG, Bussolati G, Kwei S, Rimm DL. A tissue quality index: an intrinsic control for measurement of effects of preanalytical variables on FFPE tissue. Laboratory Investigation 2014, 94: 467-474. PMID: 24535259, PMCID: PMC4030875, DOI: 10.1038/labinvest.2014.7.Peer-Reviewed Original ResearchConceptsCold ischemic timeIschemic timeQuantitative immunofluorescenceLevel of expressionTissue qualityER expression levelsBreast cancer casesExpression levelsFormalin fixationInformative epitopesValidation cohortCancer casesBreast cohortProtein statusGlobal assessmentPatient samplesTissue cohortPreanalytical variablesEpitope expressionCohortIntrinsic controlMeasurement of effectsQuality IndexFFPE tissuesEpitopes
2008
Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation
Emerson JW, Dolled-Filhart M, Harris L, Rimm DL, Tuck DP. Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation. Cancer Informatics 2008, 7: cin.s911. PMID: 19352457, PMCID: PMC2664700, DOI: 10.4137/cin.s911.Peer-Reviewed Original ResearchLymph node statusProtein expression levelsNode statusBreast cancerBaseline clinical modelCohort of patientsLack of tumorTissue microarray studyLarge independent cohortsExpression levelsMultiple imputationPatient survivalTraining cohortTissue biomarkersIndependent cohortClinical modelSelect markersCohortSimilar improvementsBiomarker analysisCancerClinical annotationProtein markersBiomarkersFuture studies
2007
Assessment of PI3 kinase as a druggable target in melanoma
Aziz S, Pick-Golan E, McCarthy M, Flaherty K, Camp R, Rimm D, Kluger H. Assessment of PI3 kinase as a druggable target in melanoma. Journal Of Clinical Oncology 2007, 25: 8521-8521. DOI: 10.1200/jco.2007.25.18_suppl.8521.Peer-Reviewed Original ResearchPI3-kinaseKinase expressionDrug targetsIntracellular signal transduction pathwaysNumerous cellular functionsSignal transduction pathwaysMajor intracellular signal transduction pathwaysPI3-kinase inhibitorAttractive drug targetValuable drug targetsCellular functionsTransduction pathwaysDifferential expressionBenign neviKinaseDruggable targetsExpression levelsProtein levelsMalignant melanocytesKinase inhibitorsDisease aggressionExpressionMalignant cellsPrimary specimensTarget
2006
Construction and Validation of Tissue Microarrays of Ductal Carcinoma In Situ and Terminal Duct Lobular Units Associated With Invasive Breast Carcinoma
Yang XR, Charette LA, Garcia-Closas M, Lissowska J, Paal E, Sidawy M, Hewitt SM, Rimm DL, Sherman ME. Construction and Validation of Tissue Microarrays of Ductal Carcinoma In Situ and Terminal Duct Lobular Units Associated With Invasive Breast Carcinoma. Applied Immunohistochemistry & Molecular Morphology 2006, 15: 157-161. PMID: 16932071, DOI: 10.1097/01.pdm.0000213453.45398.e0.Peer-Reviewed Original ResearchConceptsTerminal duct lobular unitsTissue microarrayEstrogen receptorDuctal carcinomaProgesterone receptorBreast cancerLobular unitsLarge case-control studyPR expression levelsCase-control studyInvasive breast carcinomaPercentage of tubulesInvasive carcinomaEpithelial lesionsBreast carcinomaImmunohistochemical characterizationImmunohistochemical stainingPeritumoral tissuesPositive stainingScoring systemCarcinomaCategorical scoring systemBreast tissueMethodologic studyExpression levelsAQUA and FISH analysis of HER‐2/neu expression and amplification in a small cell lung carcinoma tissue microarray
Giltnane JM, Murren JR, Rimm DL, King BL. AQUA and FISH analysis of HER‐2/neu expression and amplification in a small cell lung carcinoma tissue microarray. Histopathology 2006, 49: 161-169. PMID: 16879393, DOI: 10.1111/j.1365-2559.2006.02479.x.Peer-Reviewed Original ResearchConceptsNeu gene amplificationProtein expression levelsProtein expressionPoor prognosisNeu expressionTissue microarraySmall cell lung carcinoma patientsAQUA scoreHER-2/neu expressionGene amplificationCell lung carcinoma patientsTumor cellsSCLC tumor cellsSCLC tumor progressionHER-2/neu protein expressionMetastatic breast cancerTime of diagnosisLimited treatment optionsLung carcinoma patientsBreast cancer casesHER-2/neu geneNeu protein expressionExpression levelsGene copy numberMetastatic disease
2005
Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer
Psyrri A, Bamias A, Yu Z, Weinberger PM, Kassar M, Markakis S, Kowalski D, Efstathiou E, Camp RL, Rimm DL, Dimopoulos MA. Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer. Clinical Cancer Research 2005, 11: 8384-8390. PMID: 16322299, DOI: 10.1158/1078-0432.ccr-05-1270.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorCell DifferentiationCohort StudiesCombined Modality TherapyCyclin-Dependent Kinase Inhibitor p27Cystadenocarcinoma, SerousFemaleHumansMiddle AgedNeoplasm StagingNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisSubcellular FractionsSurvival RateTissue Array AnalysisConceptsNuclear p27 expressionOvarian cancerP27 expression levelsOverall survivalP27 expressionPlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerDisease-free survivalSignificant prognostic factorsStage ovarian cancerEpithelial ovarian cancerValuable prognostic biomarkerExpression levelsP27 protein expressionCyclin-dependent kinase inhibitor p27Mean followSurgical debulkingCombination chemotherapyPrognostic factorsMultivariable analysisPrognostic valueImmunohistochemical assessmentPrognostic biomarkerPrognostic variablesImmunofluorescence-based methodQuantitative Determination of Nuclear and Cytoplasmic Epidermal Growth Factor Receptor Expression in Oropharyngeal Squamous Cell Cancer by Using Automated Quantitative Analysis
Psyrri A, Yu Z, Weinberger PM, Sasaki C, Haffty B, Camp R, Rimm D, Burtness BA. Quantitative Determination of Nuclear and Cytoplasmic Epidermal Growth Factor Receptor Expression in Oropharyngeal Squamous Cell Cancer by Using Automated Quantitative Analysis. Clinical Cancer Research 2005, 11: 5856-5862. PMID: 16115926, DOI: 10.1158/1078-0432.ccr-05-0420.Peer-Reviewed Original ResearchConceptsEpidermal growth factor receptorOropharyngeal squamous cell cancerLocal recurrence rateSquamous cell cancerEGFR expression levelsEGFR expressionCell cancerRecurrence rateEGFR levelsHigh tumorInferior disease-free survivalExpression levelsNeck squamous cell carcinomaEpidermal growth factor receptor expressionTumor EGFR levelsGrowth factor receptor expressionProtein expressionDisease-free survivalOropharyngeal cancer casesSquamous cell carcinomaFactor receptor expressionMedian expression levelCy5-conjugated antibodiesEGFR protein expressionNuclear EGFR levelsCyclin D1 Is a Valuable Prognostic Marker in Oropharyngeal Squamous Cell Carcinoma
Yu Z, Weinberger PM, Haffty BG, Sasaki C, Zerillo C, Joe J, Kowalski D, Dziura J, Camp RL, Rimm DL, Psyrri A. Cyclin D1 Is a Valuable Prognostic Marker in Oropharyngeal Squamous Cell Carcinoma. Clinical Cancer Research 2005, 11: 1160-1166. PMID: 15709184, DOI: 10.1158/1078-0432.1160.11.3.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaDisease-free survivalSquamous cell carcinomaCyclin D1Overall survivalCell carcinomaPrognostic markerOropharyngeal squamous cell cancerProtein expressionLocal recurrence rateMultivariate Cox regressionLong-term followSquamous cell cancerCyclin D1 expression levelsNuclear cyclin D1 expressionTerms of prognosisCell cycle regulator cyclin D1Valuable prognostic markerExpression levelsCyclin D1 expressionProtein expression levelsMean followIndependent predictorsLocal recurrenceCell cancer
2003
Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors
Ocal I, Dolled‐Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors. Cancer 2003, 97: 1841-1848. PMID: 12673709, DOI: 10.1002/cncr.11335.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaBiomarkers, TumorBreast NeoplasmsCohort StudiesErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansImmunoenzyme TechniquesKi-67 AntigenLymph NodesLymphatic MetastasisNeoplasm StagingPrognosisProto-Oncogene Proteins c-metReceptor, ErbB-2Receptors, EstrogenReceptors, Fibroblast Growth FactorReceptors, ProgesteroneSurvival RateConceptsLymph node negative breast carcinomaEpidermal growth factor receptorNode-negative breast carcinomaNegative breast carcinomaHER-2Breast carcinomaSet of patientsReceptor tyrosine kinasesGrowth factor receptorReceptor statusTumor sizeWorse outcomesEpidermal growth factor family receptorsProgesterone receptor expression levelsTissue microarray-based studyFamily receptorsHormone receptor statusFactor receptorGroup of patientsIndependent predictive valueExpression levelsReceptor expression levelsUnique staining patternStudy cohortTissue microarray technologyQuantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome.
Camp RL, Dolled-Filhart M, King BL, Rimm DL. Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome. Cancer Research 2003, 63: 1445-8. PMID: 12670887.Peer-Reviewed Original ResearchConceptsHER2 expressionLow-level HER2 expressionHER2/neu expressionHER2-overexpressing tumorsDisease-related survivalTissue microarray cohortNormal breast epitheliumBreast cancer tissuesMicroarray cohortPoor outcomeNeu expressionWorse outcomesBreast cancerImmunohistochemical stainsBreast epitheliumNormal epitheliumCancer tissuesBreast tumorsTumorsNormal levelsExpression levelsHER2AQUA analysisDetectable levelsLow group
2002
Subjective Differences in Outcome Are Seen as a Function of the Immunohistochemical Method Used on a Colorectal Cancer Tissue Microarray
Chung GG, Kielhorn EP, Rimm DL. Subjective Differences in Outcome Are Seen as a Function of the Immunohistochemical Method Used on a Colorectal Cancer Tissue Microarray. Clinical Colorectal Cancer 2002, 1: 237-242. PMID: 12450422, DOI: 10.3816/ccc.2002.n.005.Peer-Reviewed Original ResearchConceptsTissue microarrayTissue sectionsColorectal cancer tissue microarraySemiquantitative grading systemColorectal cancer specimensCancer tissue microarrayPatient outcomesLarge cohortSubjective assessmentCancer specimensImmunohistochemical methodsGrading systemNuclear stainingPathology literatureProtein expressionTissue samplesCell preparationsExpression levelsBeta-catenin antibodyCurrent standardImmunohistochemistryCohortOutcomesApparent increaseExpression