2020
Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group
Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, Denkert C, Ellis MJ, Fineberg S, Flowers M, Kreipe HH, Laenkholm AV, Pan H, Penault-Llorca FM, Polley MY, Salgado R, Smith IE, Sugie T, Bartlett JMS, McShane LM, Dowsett M, Hayes DF. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. Journal Of The National Cancer Institute 2020, 113: 808-819. PMID: 33369635, PMCID: PMC8487652, DOI: 10.1093/jnci/djaa201.Peer-Reviewed Original ResearchConceptsBreast cancerClinical utilityKi67 immunohistochemistryInternational Ki67Breast Cancer Working GroupAnalytical validityAssessment of Ki67HER2-negative patientsBreast cancer careCancer Working GroupGroup consensus meetingAdjuvant chemotherapyVisual scoring methodPatient groupCancer careT1-2Prognostic markerPrognosis assessmentPrognosis estimationTreatment decisionsEstrogen receptorHER2 testingConsensus meetingCurrent evidenceClinical validity
2019
An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
Acs B, Ahmed FS, Gupta S, Wong P, Gartrell RD, Sarin Pradhan J, Rizk EM, Gould Rothberg BE, Saenger YM, Rimm DL. An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma. Nature Communications 2019, 10: 5440. PMID: 31784511, PMCID: PMC6884485, DOI: 10.1038/s41467-019-13043-2.Peer-Reviewed Original ResearchConceptsOpen sourceOpen source softwareSource softwareTIL scoreTraining setDisease-specific overall survivalHigh TIL scorePoor prognosis cohortsSubset of patientsAlgorithmIndependent prognostic markerBroad adoptionAssessment of tumorOverall survivalFavorable prognosisMelanoma patientsMultivariable analysisValidation cohortIndependent associationPrognostic markerSeparate patientsPrognostic variablesIndependent cohortRetrospective collectionMelanoma
2017
Objective measurement and clinical significance of IDO1 protein in hormone receptor-positive breast cancer
Carvajal-Hausdorf DE, Mani N, Velcheti V, Schalper KA, Rimm DL. Objective measurement and clinical significance of IDO1 protein in hormone receptor-positive breast cancer. Journal For ImmunoTherapy Of Cancer 2017, 5: 81. PMID: 29037255, PMCID: PMC5644103, DOI: 10.1186/s40425-017-0285-7.Peer-Reviewed Original ResearchConceptsHormone receptor-positive breast cancerReceptor-positive breast cancerIDO1 expressionBreast cancerIndependent negative prognostic markerB cell infiltrationImmune suppressive pathwaysAdvanced solid tumorsTumor-infiltrating lymphocytesT cell responsesClinico-pathological featuresClinico-pathological characteristicsProportional hazards modelNegative prognostic markerDegradation of tryptophanMann-Whitney testFoxp3 levelsIDO1 blockadeIDO1 levelsEffector CD4Durable responsesOverall survivalImmune toleranceMultivariable analysisPrognostic marker
2016
EGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma
Toki MI, Carvajal-Hausdorf DE, Altan M, McLaughlin J, Henick B, Schalper KA, Syrigos KN, Rimm DL. EGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma. Journal Of Thoracic Oncology 2016, 11: 1901-1911. PMID: 27449805, PMCID: PMC5075503, DOI: 10.1016/j.jtho.2016.06.025.Peer-Reviewed Original ResearchConceptsEGFR pathway activationSeries of patientsLung adenocarcinomaMutation statusEGFR expressionPathway activationProximity ligation assayKRAS wild-type tumorsEGFR-mutant patientsKRAS-mutant casesCohort of patientsWild-type tumorsInteraction of EGFREGFR expression levelsEGFR protein expressionMAPK/ERK pathwayGrowth factor receptorActive EGFRPrognostic factorsDifferent mutation statusPatient groupPrognostic valueLonger survivalEGFR mutationsPrognostic marker
2012
Quantitative assessment of invasive mena isoforms (Menacalc) as an independent prognostic marker in breast cancer
Agarwal S, Gertler FB, Balsamo M, Condeelis JS, Camp RL, Xue X, Lin J, Rohan TE, Rimm DL. Quantitative assessment of invasive mena isoforms (Menacalc) as an independent prognostic marker in breast cancer. Breast Cancer Research 2012, 14: r124. PMID: 22971274, PMCID: PMC3962029, DOI: 10.1186/bcr3318.Peer-Reviewed Original ResearchConceptsBreast cancer cohortBreast cancerPoor outcomeTumor cellsCancer cohortPoor disease-specific survivalDisease-specific deathDisease-specific survivalBreast cancer patientsIndependent prognostic markerIndependent breast cancer cohortsNon-invasive tumor cellsInvasive tumor cellsReceptor statusNode statusTumor sizeCancer patientsPrognostic markerSignificant associationCohortCancerIsoform expressionPatientsMetastasisOutcomes
2011
Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure
Peck AR, Witkiewicz AK, Liu C, Stringer GA, Klimowicz AC, Pequignot E, Freydin B, Tran TH, Yang N, Rosenberg AL, Hooke JA, Kovatich AJ, Nevalainen MT, Shriver CD, Hyslop T, Sauter G, Rimm DL, Magliocco AM, Rui H. Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure. Journal Of Clinical Oncology 2011, 29: 2448-2458. PMID: 21576635, PMCID: PMC3675698, DOI: 10.1200/jco.2010.30.3552.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCohort StudiesDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmEstrogen Receptor ModulatorsFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm ProteinsNuclear ProteinsPhosphorylationPhosphotyrosinePrognosisProtein Processing, Post-TranslationalSTAT5 Transcription FactorSurvival AnalysisTreatment FailureTumor Suppressor ProteinsYoung AdultConceptsNode-negative breast cancerCancer-specific survivalIndependent prognostic markerBreast cancerWhole tissue sectionsTherapy failurePrognostic markerTissue microarrayPathologist scoringMultivariate analysis patientsSystemic adjuvant therapyAdjuvant hormone therapyMarker of prognosisPoor clinical outcomeUseful predictive markerPredictors of responseNormal breast epitheliumTissue sectionsCohort IVAdjuvant therapyHormone therapyAnalysis patientsClinical outcomesDuctal carcinomaProspective study
2010
Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models
Parisi F, González A, Nadler Y, Camp RL, Rimm DL, Kluger HM, Kluger Y. Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models. Breast Cancer Research 2010, 12: r66. PMID: 20809974, PMCID: PMC3096952, DOI: 10.1186/bcr2633.Peer-Reviewed Original ResearchConceptsNottingham Prognostic IndexClinico-pathological variablesPrognostic indexCox modelPrognostic modelMultivariate Cox regression modelEarly-stage breast cancerBreast cancer patient cohortsAdjuvant chemotherapy decisionsMultivariate Cox modelStage breast cancerCox regression modelCancer patient cohortsTime-dependent areaBreast cancer prognostic modelsCancer prognostic modelsNPI groupOncotype DXPatient cohortChemotherapy decisionsPrognostic markerBackward selection procedureBreast cancerQuantitative immunofluorescence methodImmunofluorescence method
2009
Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer
Nadler Y, González AM, Camp RL, Rimm DL, Kluger HM, Kluger Y. Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer. Annals Of Oncology 2009, 21: 466-473. PMID: 19717535, PMCID: PMC2826097, DOI: 10.1093/annonc/mdp346.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBlotting, WesternBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleFluorescent Antibody TechniqueFollow-Up StudiesGRB7 Adaptor ProteinHumansImage Processing, Computer-AssistedMiddle AgedPrognosisReceptor, ErbB-2Survival RateTissue Array AnalysisTumor Cells, CulturedYoung AdultConceptsHER2/neuBreast cancerPrognostic markerHER2/neu-positive breast cancerGRB7 expressionHigh HER2/neuNeu-positive breast cancerHER2/neu overexpressionPrimary breast cancerBreast cancer patientsIndependent prognostic markerNode-positive subsetValuable prognostic markerProtein 7Cy5-conjugated antibodiesMultivariable analysisWorse prognosisEntire cohortCancer patientsNeu overexpressionTissue microarrayTherapeutic targetCancerNeuPatientsMultiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment.
Rimm D, Barlow W, Harigopal M, Tedeschi G, Peggy P, Yeh I, Haskell C, Livingston R, Hortobagyi G, Hayes D. Multiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment. Cancer Research 2009, 69: 704. DOI: 10.1158/0008-5472.sabcs-704.Peer-Reviewed Original ResearchDisease-free survivalEstrogen receptorHER2 expressionWorse disease-free survivalPoor disease-free survivalContinuous variablesLow HER2 expressionPoor prognostic markerBreast cancer casesBreast cancer therapyBi-phasic effectSame slideHazard ratioMenopausal statusNode statusSequential doxorubicinPoor outcomePrognostic valueTumor sizePrognostic informationWorse outcomesPrognostic markerBreast cancerCancer casesTissue microarray
2008
Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer
Nadler Y, Camp RL, Schwartz C, Rimm DL, Kluger HM, Kluger Y. Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer. Clinical Cancer Research 2008, 14: 4455-4462. PMID: 18628459, PMCID: PMC5849429, DOI: 10.1158/1078-0432.ccr-07-5268.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAurora Kinase BAurora KinasesBiomarkers, TumorBlotting, WesternBreast NeoplasmsCell Line, TumorFemaleHistory, 17th CenturyHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimatePrognosisProtein Serine-Threonine KinasesTissue Array AnalysisConceptsBreast cancerB expressionAurora B expressionBreast tumorsHigh AuroraEarly-stage breast cancerHER-2/neuProgesterone receptor expressionSubset of patientsPopulation of patientsIndependent prognostic markerHigh nuclear gradePrimary breast tumorsCy5-conjugated antibodiesPathologic variablesPrognostic roleMultivariable analysisProspective studyNuclear gradePrognostic markerReceptor expressionClinical developmentPatientsPredictive roleCancerExpression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer
Nadler Y, Camp RL, Giltnane JM, Moeder C, Rimm DL, Kluger HM, Kluger Y. Expression patterns and prognostic value of Bag-1 and Bcl-2 in breast cancer. Breast Cancer Research 2008, 10: r35. PMID: 18430249, PMCID: PMC2397537, DOI: 10.1186/bcr1998.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsProtein Array AnalysisProto-Oncogene Proteins c-bcl-2Receptors, EstrogenReceptors, ProgesteroneTranscription FactorsTreatment OutcomeConceptsNode-positive subsetHER2/neuProgesterone receptorBreast cancerEstrogen receptorBcl-2 expressionBAG-1 expressionImproved survivalBcl-2Anti-apoptotic mediator Bcl-2Breast tumorsSteroid receptor positivitySubset of patientsBAG-1Antihormonal therapyFavorable prognosisReceptor positivityMultivariable analysisPathological variablesEntire cohortPrognostic valuePrognostic markerImproved outcomesLarge cohortClinical development
2006
Reciprocal regulation of RhoA and RhoC characterizes the EMT and identifies RhoC as a prognostic marker of colon carcinoma
Bellovin DI, Simpson KJ, Danilov T, Maynard E, Rimm DL, Oettgen P, Mercurio AM. Reciprocal regulation of RhoA and RhoC characterizes the EMT and identifies RhoC as a prognostic marker of colon carcinoma. Oncogene 2006, 25: 6959-6967. PMID: 16715134, DOI: 10.1038/sj.onc.1209682.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorCadherinsCell Line, TumorColonic NeoplasmsEnzyme ActivationEpithelial CellsHumansImmunohistochemistryImmunoprecipitationNeoplasm InvasivenessPrognosisPromoter Regions, GeneticProto-Oncogene Protein c-ets-1Reverse Transcriptase Polymerase Chain ReactionRho GTP-Binding ProteinsRhoA GTP-Binding ProteinRhoC GTP-Binding ProteinRNA, Small InterferingTranscription, GeneticConceptsColon carcinomaRhoC expressionPrognostic markerRhoC protein expressionE-cadherinET-1 binding sitesClinical outcomesPoor outcomeColon cancer cellsColorectal tumorsET-1Colon cancerUse of shRNAMesenchymal transitionExpression correlatesCarcinomaAberrant expressionHigh expressionProtein expressionCancer cellsMesenchymal characteristicsEMTSubsequent activationReciprocal regulationCell migrationQuantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome
Dolled-Filhart M, McCabe A, Giltnane J, Cregger M, Camp RL, Rimm DL. Quantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome. Cancer Research 2006, 66: 5487-5494. PMID: 16707478, DOI: 10.1158/0008-5472.can-06-0100.Peer-Reviewed Original ResearchConceptsProgesterone receptorEstrogen receptorPrognostic valueBreast cancerKi-67X-tile softwareProportional hazards modelBreast cancer prognosisBreast cancer showBreast cancer tumorsΒ-catenin expressionYale Pathology archivesHazard ratioNode statusPoor outcomeTumor sizePrognostic markerWorse outcomesImmunohistochemical studyNuclear gradeCase cohortLow-level expressionPathology archivesTissue microarrayBeta-catenin expression
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 markerUsing a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease
Kluger HM, Lev D, Kluger Y, McCarthy MM, Kiriakova G, Camp RL, Rimm DL, Price JE. Using a Xenograft Model of Human Breast Cancer Metastasis to Find Genes Associated with Clinically Aggressive Disease. Cancer Research 2005, 65: 5578-5587. PMID: 15994930, DOI: 10.1158/0008-5472.can-05-0108.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBreast NeoplasmsCell AdhesionCell Growth ProcessesCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingHumansImmunohistochemistryMiceMice, NudeMultivariate AnalysisNeoplasm InvasivenessNeoplasm MetastasisNeoplasm TransplantationOligonucleotide Array Sequence AnalysisPredictive Value of TestsReproducibility of ResultsTissue Array AnalysisTransplantation, HeterologousConceptsBreast cancerXenograft modelHuman breast cancer metastasisLymph node involvementLymph node metastasisChemokine ligand 1Human breast cancer cell linesBreast cancer metastasisLeukocyte protease inhibitorBreast cancer cell linesBreast cancer tissuesHSP-70 expressionHeat shock protein 70Cancer cell linesShock protein 70Identification of genesNode involvementNode metastasisAggressive diseaseClinicopathologic variablesPrimary tumorPrognostic markerNovel therapiesCDNA microarray analysisCancer tissuesCyclin 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
2004
X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization
Camp RL, Dolled-Filhart M, Rimm DL. X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization. Clinical Cancer Research 2004, 10: 7252-7259. PMID: 15534099, DOI: 10.1158/1078-0432.ccr-04-0713.Peer-Reviewed Original Research
2003
Subcellular localization of activating transcription factor 2 in melanoma specimens predicts patient survival.
Berger AJ, Kluger HM, Li N, Kielhorn E, Halaban R, Ronai Z, Rimm DL. Subcellular localization of activating transcription factor 2 in melanoma specimens predicts patient survival. Cancer Research 2003, 63: 8103-7. PMID: 14678960.Peer-Reviewed Original ResearchConceptsATF2 expressionTranscription factor 2Melanoma specimensUseful prognostic markerEarly-stage melanomaWeak cytoplasmic stainingStrong nuclear stainingFactor 2Mean followCutaneous specimensLocalized diseaseOverall survivalIndependent predictorsPreclinical findingsClark levelClinicopathological dataPatient survivalPoor outcomePrognostic valueWorse outcomesPrognostic markerPoor survivalPreclinical modelsClinical significanceImmunohistochemical stainingTissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis.
Dolled-Filhart M, Camp RL, Kowalski DP, Smith BL, Rimm DL. Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis. Clinical Cancer Research 2003, 9: 594-600. PMID: 12576423.Peer-Reviewed Original ResearchMeSH KeywordsAcute-Phase ProteinsBiomarkersBreast NeoplasmsCell NucleusDNA-Binding ProteinsFemaleHumansImmunohistochemistryLymphatic MetastasisMultivariate AnalysisPhosphorylationPhosphotyrosinePrognosisProportional Hazards ModelsSTAT3 Transcription FactorSurvival AnalysisTime FactorsTrans-ActivatorsConceptsNode-negative breast cancerBreast cancerCytoplasmic expressionNuclear expressionOverall survivalReceptor stainingPrognostic markerPhospho-STAT3Breast cancer tissue microarrayEstrogen receptor stainingProgesterone receptor stainingNode-negative tumorsLarge retrospective studyIndependent prognostic markerBreast cancer specimensTissue microarray analysisCancer tissue microarrayShort-term survivalTranscription 3Breast cancer tumorsHER2 stainingBetter prognosisRetrospective studyRole of STAT3Signal transducer
2002
Tissue microarray‐based analysis shows phospho‐β‐catenin expression in malignant melanoma is associated with poor outcome
Kielhorn E, Provost E, Olsen D, D'Aquila TG, Smith BL, Camp RL, Rimm DL. Tissue microarray‐based analysis shows phospho‐β‐catenin expression in malignant melanoma is associated with poor outcome. International Journal Of Cancer 2002, 103: 652-656. PMID: 12494474, DOI: 10.1002/ijc.10893.Peer-Reviewed Original ResearchConceptsMalignant melanomaTissue microarray-based studyTissue microarray-based analysisWorse overall survivalDepth of invasionImmuno-histochemical analysisPhospho-specific antibodiesPhospho-β-catenin expressionOverall survivalMetastatic lesionsPrimary lesionPoor outcomePrognostic markerMelanomaUnique subsetNuclear stainingAntibodiesCatenin antibodyMicroarray-based analysisLesionsOutcomesCatenin expressionSer33/37/Thr41Microarray-based studiesHuman tissues