2018
Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens
Rawat RR, Ruderman D, Macklin P, Rimm DL, Agus DB. Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens. Npj Breast Cancer 2018, 4: 32. PMID: 30211313, PMCID: PMC6123433, DOI: 10.1038/s41523-018-0084-4.Peer-Reviewed Original ResearchEstrogen receptor statusInvasive ductal carcinomaER statusEstrogen receptorReceptor statusPercent of cellsHormonal therapyDuctal carcinomaImmunohistochemistry stainingHistology patternPathway statusPatient samplesPathway activationPilot studyNuclear featuresDeep neural networksTissue coresNeural networkReceptorsFuture studiesStatusTissue morphologyBiological featuresDeep learning approachCarcinoma
2014
Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error
Shipitsin M, Small C, Choudhury S, Giladi E, Friedlander S, Nardone J, Hussain S, Hurley AD, Ernst C, Huang YE, Chang H, Nifong TP, Rimm DL, Dunyak J, Loda M, Berman DM, Blume-Jensen P. Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error. British Journal Of Cancer 2014, 111: 1201-1212. PMID: 25032733, PMCID: PMC4453845, DOI: 10.1038/bjc.2014.396.Peer-Reviewed Original ResearchMeSH KeywordsActininAgedAlkyl and Aryl TransferasesArea Under CurveBiomarkers, TumorBiopsy, Fine-NeedleCullin ProteinsDNA-Binding ProteinsFollow-Up StudiesHSP70 Heat-Shock ProteinsHumansImage Processing, Computer-AssistedMaleMembrane ProteinsMiddle AgedMitochondrial ProteinsNeoplasm GradingNeoplasm StagingPhosphorylationProstateProstatic NeoplasmsProteomicsRibosomal Protein S6RNA-Binding Protein FUSROC CurveSelection BiasSmad2 ProteinSmad4 ProteinTissue Array AnalysisVoltage-Dependent Anion Channel 1Y-Box-Binding Protein 1ConceptsProstate cancer aggressivenessCancer aggressivenessLarge patient cohortLow Gleason gradePatient cohortTumor microarrayLethal outcomeProstatectomy samplesGleason gradeSignificant overtreatmentBiopsy interpretationProstatectomy tissuePatient samplesBiopsy testsProteomic biomarkersCancer biomarker discoveryExpert pathologistsMarker signaturesTumor heterogeneityBiomarkersAggressivenessProtein biomarkersBiomarker discoveryQuantitative proteomics approachERβ splice variant expression in four large cohorts of human breast cancer patient tumors
Wimberly H, Han G, Pinnaduwage D, Murphy LC, Yang XR, Andrulis IL, Sherman M, Figueroa J, Rimm DL. ERβ splice variant expression in four large cohorts of human breast cancer patient tumors. Breast Cancer Research And Treatment 2014, 146: 657-667. PMID: 25007965, PMCID: PMC6939385, DOI: 10.1007/s10549-014-3050-3.Peer-Reviewed Original ResearchConceptsBreast cancerPatient tumorsERβ variantsQuantitative immunofluorescenceBreast cancer patient tumorsTriple-negative patientsBreast cancer outcomesAbsence of ERαBreast cancer biologyCancer patient tumorsBreast cancer patient samplesSplice variant expressionCancer patient samplesParaffin-embedded tissuesQIF scoresCancer outcomesPredictive biomarkersWorse outcomesEstrogen receptorLarge cohortSurvival analysisERβPatient samplesAQUA technologyVariant expressionA 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
Tissue microarrays: leaping the gap between research and clinical adoption
Gustavson MD, Rimm DL, Dolled-Filhart M. Tissue microarrays: leaping the gap between research and clinical adoption. Personalized Medicine 2013, 10: 441-451. PMID: 29758838, DOI: 10.2217/pme.13.42.Peer-Reviewed Original ResearchTissue microarrayClinical laboratory settingUse of TMAsRoutine diagnostic purposesAdvanced imagingClinical settingPatient samplesDiagnostic useTissue assessmentTranslational research settingsExpression assessmentClinical research applicationsBiomarker analysisDiagnostic assaysDiagnostic purposesResearch settingsClinical adoption
2003
JAKs and STATs as Biomarkers of Disease
Dolled-Filhart M, Rimm D. JAKs and STATs as Biomarkers of Disease. 2003, 697-720. DOI: 10.1007/978-94-017-3000-6_44.Peer-Reviewed Original ResearchClinical practice todayPathways of tumorigenesisPrecise disease classificationPrognosticate outcomesClinical trialsDisease progressionDisease outcomeLarge cohortTumor specimensBiomarkers of diseaseSmall studyNew biomarkersPredictive valueBiomarker expressionHuman malignanciesPatient samplesLevel of expressionTherapeutic agentsTumor biomarkersTherapyProtein expressionBiomarkersPatientsOutcomesDisease