2021
An 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 practiceProstate
2015
Development and Clinical Validation of an In Situ Biopsy-Based Multimarker Assay for Risk Stratification in Prostate Cancer
Blume-Jensen P, Berman DM, Rimm DL, Shipitsin M, Putzi M, Nifong TP, Small C, Choudhury S, Capela T, Coupal L, Ernst C, Hurley A, Kaprelyants A, Chang H, Giladi E, Nardone J, Dunyak J, Loda M, Klein EA, Magi-Galluzzi C, Latour M, Epstein JI, Kantoff P, Saad F. Development and Clinical Validation of an In Situ Biopsy-Based Multimarker Assay for Risk Stratification in Prostate Cancer. Clinical Cancer Research 2015, 21: 2591-2600. PMID: 25733599, DOI: 10.1158/1078-0432.ccr-14-2603.Peer-Reviewed Original ResearchConceptsBiomarker risk scoreRisk scoreRisk groupsPredictive valueNational Comprehensive Cancer NetworkComprehensive Cancer NetworkCurrent risk stratification systemsIndependent prognostic informationRisk stratification systemProstate cancer aggressivenessRisk classification groupsAccurate risk predictionCoprimary endpointsFavorable pathologyAppropriate therapyCurative therapyRisk stratificationPathologic parametersPrognostic informationProstate biopsyProstate pathologyProstate cancerBlinded studyProstatectomy specimensCancer Network
2005
Translational Crossroads for Biomarkers
Bast RC, Lilja H, Urban N, Rimm DL, Fritsche H, Gray J, Veltri R, Klee G, Allen A, Kim N, Gutman S, Rubin MA, Hruszkewycz A. Translational Crossroads for Biomarkers. Clinical Cancer Research 2005, 11: 6103-6108. PMID: 16144908, DOI: 10.1158/1078-0432.ccr-04-2213.Peer-Reviewed Original ResearchConceptsNational Cancer InstituteBiomarker developmentCancer InstituteClinical needAccurate pretreatment stagingUseful laboratory testPrediction of responsePretreatment stagingCancer careDisease progressionOvarian cancerProstate cancerBreast cancerGroups of investigatorsEarly cancer detectionDrug AdministrationTumor typesPromising markerTissue specimensClinical paradigmSpecific markersBiomarkersCancerMultiple biomarkersNew markers
2004
Quantitative Determination of Expression of the Prostate Cancer Protein α-Methylacyl-CoA Racemase Using Automated Quantitative Analysis (AQUA) A Novel Paradigm for Automated and Continuous Biomarker Measurements
Rubin MA, Zerkowski MP, Camp RL, Kuefer R, Hofer MD, Chinnaiyan AM, Rimm DL. Quantitative Determination of Expression of the Prostate Cancer Protein α-Methylacyl-CoA Racemase Using Automated Quantitative Analysis (AQUA) A Novel Paradigm for Automated and Continuous Biomarker Measurements. American Journal Of Pathology 2004, 164: 831-840. PMID: 14982837, PMCID: PMC1613273, DOI: 10.1016/s0002-9440(10)63171-9.Peer-Reviewed Original ResearchConceptsProstate cancerProstate tissue samplesAMACR protein expressionTissue samplesProtein expressionProstate tissueZ-scoreAcinar prostate cancerLow AMACR expressionΑ-Methylacyl-CoA racemaseTissue microarray samplesTissue microarray slidesBenign prostate tissueProgression tissue microarrayMetastatic tumor samplesTissue-based markersMost tissue samplesProstate tissue biomarkersProstate cancer biomarkersBenign prostate tissue samplesImmunohistochemical evaluationSeparation of tumorAMACR expressionTissue biomarkersTissue microarray