2021
What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study
Pizzamiglio S, Cosentino G, Ciniselli CM, De Cecco L, Cataldo A, Plantamura I, Triulzi T, El‐abed S, Wang Y, Bajji M, Nuciforo P, Huober J, Ellard SL, Rimm DL, Gombos A, Daidone MG, Verderio P, Tagliabue E, Di Cosimo S, Iorio MV. What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study. Cancer Medicine 2021, 11: 332-339. PMID: 34921525, PMCID: PMC8729061, DOI: 10.1002/cam4.4449.Peer-Reviewed Original ResearchConceptsHER2-positive breast cancer patientsEvent-free survivalBreast cancer patientsNeoadjuvant therapyCancer patientsPathological complete response rateSingle-agent trastuzumabTwo-miRNA signatureComplete response rateDifferential clinical outcomesPredictive miRNA signatureTrastuzumab armBaseline biopsiesClinical outcomesPathological variablesPrognostic valueUnivariate analysisAgent trastuzumabPrognostic signatureResponse ratePatientsTissue miRNAsMiRNA expression profilesMiRNA signatureMultivariate modelAlpha-smooth muscle actin expression in the stroma predicts resistance to trastuzumab in patients with early-stage HER2-positive breast cancer
Vathiotis IA, Moutafi MK, Divakar P, Aung TN, Qing T, Fernandez A, Yaghoobi V, El-Abed S, Wang Y, Guillaume S, Nuciforo P, Huober J, Di Cosimo S, Kim SB, Harbeck N, Gomez H, Shafi S, Syrigos KN, Fountzilas G, Sotiriou C, Pusztai L, Warren S, Rimm DL. Alpha-smooth muscle actin expression in the stroma predicts resistance to trastuzumab in patients with early-stage HER2-positive breast cancer. Clinical Cancer Research 2021, 27: 6156-6163. PMID: 34465600, PMCID: PMC8595766, DOI: 10.1158/1078-0432.ccr-21-2103.Peer-Reviewed Original ResearchConceptsDisease-free survivalHER2-positive breast cancerShorter disease-free survivalBreast cancerQuantitative immunofluorescenceEarly-stage HER2-positive breast cancerAlpha-smooth muscle actin expressionAlpha-smooth muscle actinProgesterone receptor statusHigh α-SMA expressionDigital Spatial ProfilerΑ-SMA expressionPromising candidate biomarkerCompanion diagnostic testsMuscle actin expressionDigital spatial profilingCohort validationNeoadjuvant lapatinibAdjuvant trastuzumabReceptor statusClinical trialsUnivariate analysisEstrogen receptorMAIN OUTCOMEΑ-SMAAnalysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade
Berry S, Giraldo NA, Green BF, Cottrell TR, Stein JE, Engle EL, Xu H, Ogurtsova A, Roberts C, Wang D, Nguyen P, Zhu Q, Soto-Diaz S, Loyola J, Sander IB, Wong PF, Jessel S, Doyle J, Signer D, Wilton R, Roskes JS, Eminizer M, Park S, Sunshine JC, Jaffee EM, Baras A, De Marzo AM, Topalian SL, Kluger H, Cope L, Lipson EJ, Danilova L, Anders RA, Rimm DL, Pardoll DM, Szalay AS, Taube JM. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade. Science 2021, 372 PMID: 34112666, PMCID: PMC8709533, DOI: 10.1126/science.aba2609.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD8 AntigensFemaleFluorescent Antibody TechniqueForkhead Transcription FactorsHumansImmune Checkpoint ProteinsMacrophagesMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReceptors, Cell SurfaceSingle-Cell AnalysisSOXE Transcription FactorsT-Lymphocyte SubsetsTreatment OutcomeTumor MicroenvironmentConceptsAnti-programmed cell death 1Anti-PD-1 blockadePD-1 blockadeCell death 1Tissue-based biomarkersLong-term survivalTumor tissue sectionsDeath-1PD-1PD-L1Immunoregulatory moleculesT cellsIndependent cohortMyeloid cellsMelanoma specimensMultiple cell typesTissue sectionsLow/BlockadeCell typesDistinct expression patternsExpression patternsImagingCD8Foxp3PD-L1 as a biomarker of response to immune-checkpoint inhibitors
Doroshow DB, Bhalla S, Beasley MB, Sholl LM, Kerr KM, Gnjatic S, Wistuba II, Rimm DL, Tsao MS, Hirsch FR. PD-L1 as a biomarker of response to immune-checkpoint inhibitors. Nature Reviews Clinical Oncology 2021, 18: 345-362. PMID: 33580222, DOI: 10.1038/s41571-021-00473-5.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsSelection of patientsPD-L1L1 antibodyImmunohistochemistry assaysPD-L1 immunohistochemistry assaysOutcomes of patientsBiomarkers of responseCompanion diagnostic assayTypes of cancerPD-1Clinical outcomesSelection biomarkerProspective comparisonClinical challengeNew therapiesFuture treatmentPatientsSolid tumorsClinical useSpecific agentsInter-assay variabilityBiomarkersCurrent roleDiagnostic assays
2019
High-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling
Toki MI, Merritt CR, Wong PF, Smithy JW, Kluger HM, Syrigos KN, Ong GT, Warren SE, Beechem JM, Rimm DL. High-Plex Predictive Marker Discovery for Melanoma Immunotherapy–Treated Patients Using Digital Spatial Profiling. Clinical Cancer Research 2019, 25: 5503-5512. PMID: 31189645, PMCID: PMC6744974, DOI: 10.1158/1078-0432.ccr-19-0104.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Agents, ImmunologicalBiomarkers, TumorFemaleFluorescent Antibody TechniqueHumansImmunohistochemistryImmunotherapyLymphocytes, Tumor-InfiltratingMaleMelanomaMolecular Diagnostic TechniquesMolecular Targeted TherapyPrognosisProportional Hazards ModelsTissue Array AnalysisTreatment OutcomeConceptsNon-small cell lung cancerProlonged progression-free survivalDigital spatial profilingOverall survivalPD-L1Predictive markerPD-L1 expressionProgression-free survivalProtein expressionCell lung cancerNovel predictive markerCD68-positive cellsStromal CD3Melanoma immunotherapyImmune markersImmune therapyPrognostic valueLung cancerAntibody cocktailTissue microarrayQuantitative fluorescenceOutcome assessmentTumor cellsHigh concordanceMultiple biomarkersMultiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
Wong PF, Wei W, Gupta S, Smithy JW, Zelterman D, Kluger HM, Rimm DL. Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma. Journal For ImmunoTherapy Of Cancer 2019, 7: 194. PMID: 31337426, PMCID: PMC6651990, DOI: 10.1186/s40425-019-0675-0.Peer-Reviewed Original ResearchConceptsProgression-free survivalBest overall responseSmooth muscle actinOverall survivalCell countQuantitative immunofluorescenceImmune markersImmunotherapy outcomesMelanoma patientsSignificant progression-free survivalAnti-PD-1 therapyAbsence of immunotherapyPretreatment tumor specimensImmune checkpoint blockadeCell death 1Cancer-associated fibroblast (CAF) populationNegative prognostic biomarkerCancer-associated fibroblastsWhole tissue sectionsOverall responseOS associationCAF parametersCheckpoint blockadeImmune dysregulationDeath-1
2018
Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma
Johnson DB, Bordeaux J, Kim J, Vaupel C, Rimm DL, Ho TH, Joseph RW, Daud AI, Conry RM, Gaughan EM, Hernandez-Aya LF, Dimou A, Funchain P, Smithy J, Witte JS, McKee SB, Ko J, Wrangle J, Dabbas B, Tangri S, Lameh J, Hall J, Markowitz J, Balko JM, Dakappagari N. Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma. Clinical Cancer Research 2018, 24: 5250-5260. PMID: 30021908, PMCID: PMC6214750, DOI: 10.1158/1078-0432.ccr-18-0309.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyCell Line, TumorFemaleHLA-DR AntigensHumansImmunohistochemistryIndoleamine-Pyrrole 2,3,-DioxygenaseMaleMelanomaMiddle AgedModels, BiologicalNeoplasm MetastasisNeoplasm StagingPrognosisProgrammed Cell Death 1 ReceptorProtein BindingRetreatmentTreatment OutcomeConceptsAnti-PD-1 responseHLA-DRValidation cohortPD-1/PD-L1PD-1 blockersPD-1 monotherapyPD-L1 expressionPretreatment tumor biopsiesProgression-free survivalSubset of patientsAcademic cancer centerBiomarkers of responseIndependent validation cohortClin Cancer ResImmunosuppression mechanismsClinical responseOverall survivalPD-L1Melanoma patientsCancer CenterTreatment outcomesTumor biopsiesDiscovery cohortPatientsIndividual biomarkersExceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement
Bellone S, Buza N, Choi J, Zammataro L, Gay L, Elvin J, Rimm DL, Liu Y, Ratner E, Schwartz PE, Santin AD. Exceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement. Clinical Cancer Research 2018, 24: 3282-3291. PMID: 29351920, PMCID: PMC6050068, DOI: 10.1158/1078-0432.ccr-17-1805.Peer-Reviewed Original ResearchMeSH KeywordsAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyComputational BiologyDrug Resistance, NeoplasmExome SequencingFemaleGene RearrangementHLA AntigensHumansMolecular Targeted TherapyMutationOvarian NeoplasmsPositron Emission Tomography Computed TomographyProgrammed Cell Death 1 ReceptorReceptors, Cell SurfaceRetreatmentT-LymphocytesTreatment OutcomeConceptsImmune checkpoint inhibitor pembrolizumabCheckpoint inhibitor pembrolizumabComplete clinical responseClinical responsePD-L1Ovarian carcinomaAberrant PD-L1 expressionPD-L1 surface expressionAnti-PD1 inhibitorsPD-L1 expressionRemarkable clinical responsesHigh-grade ovarian carcinomaStandard treatment modalityAlternative therapeutic optionClear cell featuresNovel treatment optionsSignificant side effectsT-cell lymphocytesWhole exome sequencing techniqueClin Cancer ResMetastatic human tumorsRecurrent diseaseComplete responseHeavy infiltrationTherapeutic options
2016
Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma
Wilson MA, Zhao F, Khare S, Roszik J, Woodman SE, D'Andrea K, Wubbenhorst B, Rimm DL, Kirkwood JM, Kluger HM, Schuchter LM, Lee SJ, Flaherty KT, Nathanson KL. Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma. Clinical Cancer Research 2016, 22: 374-382. PMID: 26307133, PMCID: PMC4821426, DOI: 10.1158/1078-0432.ccr-15-1162.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinDisease-Free SurvivalDNA Copy Number VariationsDNA Mutational AnalysisDouble-Blind MethodGenes, rasHumansMelanomaMutationNeoplasm StagingNiacinamidePaclitaxelPhenylurea CompoundsProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-metSorafenibTreatment OutcomeConceptsProgression-free survivalGene copy gainOverall survivalImproved progression-free survivalCopy gainImproved overall survivalGenomic alterationsCancer Genome Atlas (TCGA) datasetImproved treatment responseClinical outcomesMET amplificationV600KCCND1 amplificationTreatment responseMelanoma pathogenesisV600E mutationCurrent FDAPretreatment samplesBRAF geneTumor samplesPatientsSorafenibTherapyTumorsAtlas datasetValidation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial
Bartlett JM, Christiansen J, Gustavson M, Rimm DL, Piper T, van de Velde CJ, Hasenburg A, Kieback DG, Putter H, Markopoulos CJ, Dirix LY, Seynaeve C, Rea DW. Validation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial. Archives Of Pathology & Laboratory Medicine 2016, 140: 66-74. PMID: 26717057, DOI: 10.5858/arpa.2014-0599-oa.Peer-Reviewed Original ResearchConceptsHazard ratioBreast cancerResidual riskMultivariate Cox proportional hazardsDistant recurrence-free survivalClinical prognostic factorsEarly breast cancerRecurrence-free survivalSignificant prognostic valueCox proportional hazardsHER2/neuIHC4 scoreHormone therapyNodal statusTrial cohortPrognostic factorsPrognostic valueClinical trialsKi-67Proportional hazardsMultivariate analysisTEAM trialBiomarker expressionQuantitative immunofluorescenceResidual risk assessment
2015
Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer
Carvajal-Hausdorf DE, Schalper KA, Pusztai L, Psyrri A, Kalogeras KT, Kotoula V, Fountzilas G, Rimm DL. Measurement of Domain-Specific HER2 (ERBB2) Expression May Classify Benefit From Trastuzumab in Breast Cancer. Journal Of The National Cancer Institute 2015, 107: djv136. PMID: 25991002, PMCID: PMC4554192, DOI: 10.1093/jnci/djv136.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantClinical Trials as TopicDisease-Free SurvivalExtracellular SpaceFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansIntracellular SpaceKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisReceptor, ErbB-2Sensitivity and SpecificityTissue Array AnalysisTrastuzumabTreatment OutcomeConceptsHuman epidermal growth factor receptor 2ECD expressionICD statusLonger DFSQuantitative immunofluorescenceTrastuzumab therapyPrognostic valueBreast cancerTissue microarrayEpidermal growth factor receptor 2Adjuvant trastuzumab therapyDisease-free survival analysisTrastuzumab-treated patientsGrowth factor receptor 2High positive predictive valueHER2-positive tumorsKaplan-Meier estimatesFactor receptor 2ERBB2 gene amplificationHER2 protein expressionPositive predictive valueExtracellular domainAdjuvant chemotherapyHER2-ICDBetter DFSPD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer
Wimberly H, Brown JR, Schalper K, Haack H, Silver MR, Nixon C, Bossuyt V, Pusztai L, Lannin DR, Rimm DL. PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Immunology Research 2015, 3: 326-332. PMID: 25527356, PMCID: PMC4390454, DOI: 10.1158/2326-6066.cir-14-0133.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesPD-L1 expressionPathologic complete responseNeoadjuvant chemotherapyPD-L1Breast cancerDeath 1 ligand 1PD-L1 protein expressionYale-New Haven HospitalHigh PD-L1Antitumor immune activitySubset of patientsTriple-negative patientsBreast cancer patientsTriple-negative statusImmune checkpoint proteinsImmune regulatory moleculesNew Haven HospitalSignificant multivariate modelRabbit monoclonal antibodyTILs correlateComplete responseImmune therapyCancer patientsImmune activity
2014
Quantitative assessment of miR34a as an independent prognostic marker in breast cancer
Agarwal S, Hanna J, Sherman ME, Figueroa J, Rimm DL. Quantitative assessment of miR34a as an independent prognostic marker in breast cancer. British Journal Of Cancer 2014, 112: 61-68. PMID: 25474246, PMCID: PMC4453614, DOI: 10.1038/bjc.2014.573.Peer-Reviewed Original ResearchConceptsDisease-specific survivalBreast cancer cohortPoor disease-specific survivalDisease-specific deathIndependent breast cancer cohortsBreast cancerCancer cohortPoor outcomeCohort 1Multivariate Cox proportional hazards analysisCox proportional hazards analysisNode-positive populationX-tile softwareNode-negative patientsProportional hazards analysisTumor suppressorBreast cancer patientsIndependent prognostic markerExpression of miR34aReceptor statusNode statusPreclinical observationsTumor sizeCancer patientsCohort 2Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer
Brown JR, Wimberly H, Lannin DR, Nixon C, Rimm DL, Bossuyt V. Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer. Clinical Cancer Research 2014, 20: 5995-6005. PMID: 25255793, PMCID: PMC4252785, DOI: 10.1158/1078-0432.ccr-14-1622.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntigens, CD20Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCD3 ComplexCD8 AntigensChemotherapy, AdjuvantFemaleHumansImmunophenotypingLymphocyte SubsetsLymphocytes, Tumor-InfiltratingMiddle AgedNeoadjuvant TherapyNeoplasm GradingNeoplasm StagingPrognosisReproducibility of ResultsTreatment OutcomeTumor BurdenConceptsTumor-infiltrating lymphocytesPathologic complete responseBreast cancerTonsil specimensPredictive valueAQUA scoreQuantitative immunofluorescenceFlow cytometryFuture larger studiesPathologist estimationNeoadjuvant cohortNeoadjuvant chemotherapyNeoadjuvant therapyLymphocyte infiltratesTIL countComplete responseNodal statusLymphocyte percentageLymphocyte subpopulationsStromal expressionNuclear gradeUnivariate analysisKi-67CD8Clinical utilityIn Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients
Vassilakopoulou M, Togun T, Dafni U, Cheng H, Bordeaux J, Neumeister VM, Bobos M, Pentheroudakis G, Skarlos DV, Pectasides D, Kotoula V, Fountzilas G, Rimm DL, Psyrri A. In Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients. PLOS ONE 2014, 9: e99131. PMID: 24968015, PMCID: PMC4072595, DOI: 10.1371/journal.pone.0099131.Peer-Reviewed Original ResearchConceptsBreast cancer patientsMetastatic breast cancer patientsFISH HER2Cancer patientsHER2 mRNAPrognostic factorsTrastuzumab-treated metastatic breast cancer patientsMultivariate Cox regression modelECD HER2Log rank pMetastatic breast cancerStrong prognostic factorCox regression modelKaplan-Meier estimatesHER2 mRNA levelsHER2-ICDChemotherapy regimensMetastatic cohortTrastuzumab treatmentBreast cancerTissue microarrayMRNA statusPerformance of markersHER2 receptorPredictive valueQuantitative measurements of HER2 and phospho-HER2 expression: correlation with pathologic response to neoadjuvant chemotherapy and trastuzumab
Cheng H, Bai Y, Sikov W, Sinclair N, Bossuyt V, Abu-Khalaf MM, Harris LN, Rimm DL. Quantitative measurements of HER2 and phospho-HER2 expression: correlation with pathologic response to neoadjuvant chemotherapy and trastuzumab. BMC Cancer 2014, 14: 326. PMID: 24885187, PMCID: PMC4037428, DOI: 10.1186/1471-2407-14-326.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAlbuminsAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCarboplatinChemotherapy, AdjuvantConnecticutFemaleFluorescent Antibody TechniqueHumansNeoadjuvant TherapyPaclitaxelPhosphorylationProteomicsReceptor, ErbB-2Rhode IslandTime FactorsTrastuzumabTreatment OutcomeConceptsLikelihood of responsePhospho-HER2Nab-paclitaxelPathologic responseHER2 levelsAdvanced HER2-positive breast cancerHER2-positive breast cancerCarboplatin combination therapyPreoperative clinical trialPre-surgical settingSingle-agent trastuzumabPathologic complete responseInitiation of treatmentWeeks of treatmentBreast cancer patientsTumor core biopsiesCore biopsy samplesMonoclonal antibody trastuzumabEvaluable patientsNeoadjuvant regimenNeoadjuvant chemotherapyNeoadjuvant therapyNeoadjuvant treatmentComplete responsePreoperative settingMarkers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC)
Pectasides E, Rampias T, Sasaki C, Perisanidis C, Kouloulias V, Burtness B, Zaramboukas T, Rimm D, Fountzilas G, Psyrri A. Markers of Epithelial to Mesenchymal Transition in Association with Survival in Head and Neck Squamous Cell Carcinoma (HNSCC). PLOS ONE 2014, 9: e94273. PMID: 24722213, PMCID: PMC3983114, DOI: 10.1371/journal.pone.0094273.Peer-Reviewed Original ResearchMeSH KeywordsAutomationBiomarkers, TumorCarcinoma, Squamous CellCohort StudiesEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimateMaleMultivariate AnalysisNeoplasm MetastasisPhenotypePrognosisProportional Hazards ModelsSquamous Cell Carcinoma of Head and NeckTreatment OutcomeConceptsProgression-free survivalSquamous cell carcinomaOverall survivalCell carcinomaE-cadherinPrimary squamous cell carcinomaNeck squamous cell carcinomaHigh-risk HNSCCKaplan-Meier analysisNovel therapeutic approachesMesenchymal transition phenotypeHigh metastatic potentialLow E-cadherinImproved OSInferior OSIndependent predictorsPoor prognosisCarcinoma prognosisClinicopathological parametersInclusion criteriaTherapeutic approachesTransition phenotypeMetastatic potentialMesenchymal transitionProtein expression analysisMacrophage expression of tartrate-resistant acid phosphatase as a prognostic indicator in colon cancer
How J, Brown JR, Saylor S, Rimm DL. Macrophage expression of tartrate-resistant acid phosphatase as a prognostic indicator in colon cancer. Histochemistry And Cell Biology 2014, 142: 195-204. PMID: 24429833, PMCID: PMC4101067, DOI: 10.1007/s00418-014-1181-6.Peer-Reviewed Original ResearchMeSH KeywordsAcid PhosphataseAdenocarcinomaAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorColonic NeoplasmsFemaleHumansIsoenzymesMacrophagesMaleMiddle AgedReceptors, Cell SurfaceTartrate-Resistant Acid PhosphataseTissue Array AnalysisTreatment OutcomeYoung AdultConceptsColorectal cancer patientsMacrophage expressionResistant acid phosphataseColon cancerCancer patientsTRAP expressionYale-New Haven HospitalDisease-specific deathPan-macrophage markerRisk reductionPrognostic indicatorCancer survivalColorectal adenocarcinomaM2 markersImproved outcomesTissue microarrayImmunohistochemical analysisSecond cohortSurvival analysisPatientsPotential biomarkersQuantitative immunofluorescenceCancerAcid phosphataseOld cases
2013
Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer
Brown JR, DiGiovanna MP, Killelea B, Lannin DR, Rimm DL. Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer. Laboratory Investigation 2013, 94: 98-106. PMID: 24189270, DOI: 10.1038/labinvest.2013.128.Peer-Reviewed Original ResearchConstruction and Analysis of Multiparameter Prognostic Models for Melanoma Outcome
Rothberg BE, Rimm DL. Construction and Analysis of Multiparameter Prognostic Models for Melanoma Outcome. Methods In Molecular Biology 2013, 1102: 227-258. PMID: 24258982, PMCID: PMC3912557, DOI: 10.1007/978-1-62703-727-3_13.Peer-Reviewed Original ResearchConceptsAdjuvant regimensNegative sentinel lymph node biopsyAdverse risk-benefit ratioPrognostic modelStage II melanoma patientsSentinel lymph node biopsyConventional clinicopathologic criteriaLymph node biopsyStage II melanomaMelanoma-specific survivalWide local excisionRisk-benefit ratioKi-67 assaysTumor molecular profilesComposite prognostic indicesMost patientsNode biopsyLocal excisionMelanoma patientsPrognostic indexRisk stratificationClinicopathologic criteriaMelanoma outcomesPrognostic biomarkerIndependent cohort