2021
Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study
Yaghoobi V, Moutafi M, Aung TN, Pelekanou V, Yaghoubi S, Blenman K, Ibrahim E, Vathiotis IA, Shafi S, Sharma A, O’Meara T, Fernandez AI, Pusztai L, Rimm DL. Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study. Breast Cancer Research 2021, 23: 113. PMID: 34906209, PMCID: PMC8670126, DOI: 10.1186/s13058-021-01493-w.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBlack or African AmericanCase-Control StudiesHumansTriple Negative Breast NeoplasmsTumor MicroenvironmentConceptsNegative breast cancerT cellsTumor microenvironmentAA patientsImmune cellsAA tumorsBreast cancerPurposeTriple-negative breast cancerAfrican AmericansTriple-negative breast cancerCase-control studySignificant differencesActivated T cellsImmunologic biomarkersPD-L1Lymphocytic infiltrationLymphoid infiltrationImmune microenvironmentControl cohortTNBC tumorsMyeloid markersQuantitative immunofluorescenceMean expression levelPatientsTNBC
2019
Multiplexed (18-Plex) Measurement of Signaling Targets and Cytotoxic T Cells in Trastuzumab-Treated Patients using Imaging Mass Cytometry
Carvajal-Hausdorf DE, Patsenker J, Stanton KP, Villarroel-Espindola F, Esch A, Montgomery RR, Psyrri A, Kalogeras KT, Kotoula V, Foutzilas G, Schalper KA, Kluger Y, Rimm DL. Multiplexed (18-Plex) Measurement of Signaling Targets and Cytotoxic T Cells in Trastuzumab-Treated Patients using Imaging Mass Cytometry. Clinical Cancer Research 2019, 25: 3054-3062. PMID: 30796036, PMCID: PMC6522272, DOI: 10.1158/1078-0432.ccr-18-2599.Peer-Reviewed Original ResearchConceptsTrastuzumab-treated patientsT cell infiltrationCD8 T cell infiltrationCohort of patientsCytotoxic T cellsMass cytometryCase-control seriesExtracellular domainMechanism of actionTrastuzumab benefitAdjuvant treatmentCD8 cellsRecurrence eventsT cellsAntibody panelImmune systemPatientsMetal-conjugated antibodiesQuantitative immunofluorescenceTrastuzumabImaging Mass CytometryHER2Signaling targetsObjective measurementsCytometry
2014
Whole-Exome Sequencing Characterizes the Landscape of Somatic Mutations and Copy Number Alterations in Adrenocortical Carcinoma
Juhlin CC, Goh G, Healy JM, Fonseca AL, Scholl UI, Stenman A, Kunstman JW, Brown TC, Overton JD, Mane SM, Nelson-Williams C, Bäckdahl M, Suttorp AC, Haase M, Choi M, Schlessinger J, Rimm DL, Höög A, Prasad ML, Korah R, Larsson C, Lifton RP, Carling T. Whole-Exome Sequencing Characterizes the Landscape of Somatic Mutations and Copy Number Alterations in Adrenocortical Carcinoma. The Journal Of Clinical Endocrinology & Metabolism 2014, 100: e493-e502. PMID: 25490274, PMCID: PMC5393505, DOI: 10.1210/jc.2014-3282.Peer-Reviewed Original ResearchConceptsAdrenocortical carcinomaSomatic mutationsCopy number alterationsNumber alterationsNonsynonymous somatic mutationsWnt pathway dysregulationHomozygous deletionMajority of casesPotential disease-causing mutationsWhole-exome sequencingUnderlying somatic mutationsLethal malignancyPathway dysregulationTumorsExome sequencingFocal CNAsDisease-causing mutationsCarcinomaTERT locusZNRF3Recurrent CNAsAlterationsNormal samplesTP53Unknown roleA 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
2013
Prediction of Late Disease Recurrence and Extended Adjuvant Letrozole Benefit by the HOXB13/IL17BR Biomarker
Sgroi DC, Carney E, Zarrella E, Steffel L, Binns SN, Finkelstein DM, Szymonifka J, Bhan AK, Shepherd LE, Zhang Y, Schnabel CA, Erlander MG, Ingle JN, Porter P, Muss HB, Pritchard KI, Tu D, Rimm DL, Goss PE. Prediction of Late Disease Recurrence and Extended Adjuvant Letrozole Benefit by the HOXB13/IL17BR Biomarker. Journal Of The National Cancer Institute 2013, 105: 1036-1042. PMID: 23812955, PMCID: PMC3888138, DOI: 10.1093/jnci/djt146.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsAromatase InhibitorsBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChemotherapy, AdjuvantDisease-Free SurvivalFemaleHomeodomain ProteinsHumansIncidenceLetrozoleLogistic ModelsMiddle AgedMultivariate AnalysisNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingNitrilesPredictive Value of TestsPrognosisProspective StudiesReceptor, ErbB-2Receptors, EstrogenReceptors, InterleukinReceptors, Interleukin-17Receptors, ProgesteroneRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionTriazolesConceptsExtended letrozole therapyStandard clinicopathological factorsLate disease recurrenceLate recurrenceLetrozole therapyEndocrine therapyDisease recurrenceClinicopathological factorsLymph node-negative breast cancer patientsNode-negative breast cancer patientsExtended adjuvant endocrine therapyMultivariable conditional logistic regressionExtended adjuvant letrozolePlacebo-treated patientsAdjuvant endocrine therapyER-positive patientsBreast cancer patientsPositive breast cancerConditional logistic regressionReverse transcription-polymerase chain reactionCase-control designAdjuvant letrozoleLetrozole treatmentAbsolute riskCancer patients
2009
DNA Hypermethylation of ESR1 and PGR in Breast Cancer: Pathologic and Epidemiologic Associations
Gaudet MM, Campan M, Figueroa JD, Yang XR, Lissowska J, Peplonska B, Brinton LA, Rimm DL, Laird PW, Garcia-Closas M, Sherman ME. DNA Hypermethylation of ESR1 and PGR in Breast Cancer: Pathologic and Epidemiologic Associations. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 3036-3043. PMID: 19861523, PMCID: PMC2783691, DOI: 10.1158/1055-9965.epi-09-0678.Peer-Reviewed Original ResearchConceptsBreast cancerPopulation-based case-control studyBreast cancer risk factorsPromoter CLevels of ERalphaPR-negative tumorsInvasive breast cancerCancer risk factorsCase-control studyPercentage of tumorsNegative breast cancerTumor tissue coresImproved risk predictionLower ERalphaTumor characteristicsPR expressionProgesterone receptorEpidemiologic associationRisk factorsInverse associationDNA hypermethylationPR levelsMost tumorsReceptor silencingTumors
2007
Hormonal Markers in Breast Cancer: Coexpression, Relationship with Pathologic Characteristics, and Risk Factor Associations in a Population-Based Study
Yang XR, Pfeiffer RM, Garcia-Closas M, Rimm DL, Lissowska J, Brinton LA, Peplonska B, Hewitt SM, Cartun RW, Mandich D, Sasano H, Evans DB, Sutter TR, Sherman ME. Hormonal Markers in Breast Cancer: Coexpression, Relationship with Pathologic Characteristics, and Risk Factor Associations in a Population-Based Study. Cancer Research 2007, 67: 10608-10617. PMID: 17968031, DOI: 10.1158/0008-5472.can-07-2142.Peer-Reviewed Original ResearchConceptsCurrent body mass indexBody mass indexPremenopausal womenPathologic characteristicsMass indexHormonal markersMolecular subtypesHigher current body mass indexPopulation-based case-control studyProliferation factorsEpidemiologic risk factorsRisk factor associationsHigh tumor gradeCase-control studyInvasive breast carcinomaBreast cancer tissuesER betaRisk factorsTumor gradeBreast carcinomaCoexpression patternsBreast cancerHigher scoresEarly menarcheCancer tissues
2005
Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer
McCarthy MM, Sznol M, DiVito KA, Camp RL, Rimm DL, Kluger HM. Evaluating the Expression and Prognostic Value of TRAIL-R1 and TRAIL-R2 in Breast Cancer. Clinical Cancer Research 2005, 11: 5188-5194. PMID: 16033835, DOI: 10.1158/1078-0432.ccr-05-0158.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence AnalysisPrognosisReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, Tumor Necrosis FactorSurvival AnalysisConceptsEarly-stage breast cancerTRAIL-R2 expressionBreast cancerPrognostic valueTRAIL-R2TRAIL-R1Normal breast specimensTumor necrosis factor-related apoptosis-inducing ligand receptor 1Lymph node involvementSubset of patientsBreast cancer patientsIndependent prognostic markerTRAIL-R1 expressionNormal breast epitheliumTRAIL receptor expressionLigand receptor 1Apoptosis-inducing ligand receptor 1Adjuvant treatmentNode involvementNodal statusPathologic variablesTumor sizeCancer patientsClinical trialsPrognostic marker
2001
Diagnosis of “ASCUS” in women over age 50 is less likely to be associated with dysplasia
Flynn K, Rimm D. Diagnosis of “ASCUS” in women over age 50 is less likely to be associated with dysplasia. Diagnostic Cytopathology 2001, 24: 132-136. PMID: 11169895, DOI: 10.1002/1097-0339(200102)24:2<132::aid-dc1026>3.0.co;2-n.Peer-Reviewed Original Research