2024
An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers
Xirou V, Moutafi M, Bai Y, Nwe Aung T, Burela S, Liu M, Kimple R, Shabbir Ahmed F, Schultz B, Flieder D, Connolly D, Psyrri A, Burtness B, Rimm D. An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers. Oral Oncology 2024, 152: 106750. PMID: 38547779, PMCID: PMC11060915, DOI: 10.1016/j.oraloncology.2024.106750.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesHead and neck cancerTILs evaluationHPV-positiveNeck cancerPrognostic valueHead and neck squamous cell cancer casesTIL variablesAssociated with favorable prognosisHPV-negative headHPV-negative populationHematoxylin-eosin-stained sectionsCox regression analysisPotential clinical implicationsInter-observer variabilityInfiltrating lymphocytesClinicopathological factorsFavorable prognosisValidation cohortTumor cellsCancer casesProspective settingQuPath softwareRetrospective collectionPredictive significance
2023
Quantitative, Spatially Defined Expression of Leukocyte Associated Immunoglobulin-like Receptor (LAIR-1) in Non-Small Cell Lung Cancer
Aung T, Gavrielatou N, Vathiotis I, Fernandez A, Shafi S, Yaghoobi V, Burela S, MacNeil T, Ahmed F, Myint H, Flies D, Langermann S, Rimm D. Quantitative, Spatially Defined Expression of Leukocyte Associated Immunoglobulin-like Receptor (LAIR-1) in Non-Small Cell Lung Cancer. Cancer Research Communications 2023, 3: 471-482. PMID: 36960400, PMCID: PMC10029762, DOI: 10.1158/2767-9764.crc-22-0334.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerLeukocyte-associated immunoglobulin-like receptor-1LAIR-1 expressionMultiplexed quantitative immunofluorescenceCell lung cancerLung adenocarcinomaLung cancerPD-L1Anti-PD-1/PD-L1Anti-PD-1 resistanceSquamous cell carcinoma subtypeImmunoglobulin-like receptor-1Cancer immunotherapeutic strategiesDeath-1 blockadeResistant lung tumorsImmunoglobulin-like receptorsCell typesAntitumor immunityImmunotherapeutic strategiesHistologic subtypePrognostic valueCombination therapyLung tumorsCarcinoma subtypesLAIR-2
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 modelMultiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer
MacNeil T, Vathiotis IA, Shafi S, Aung TN, Zugazagoitia J, Gruver AM, Driscoll K, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer. Cancers 2021, 13: 5501. PMID: 34771664, PMCID: PMC8583434, DOI: 10.3390/cancers13215501.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesPancreatic ductal adenocarcinomaCancer-associated fibroblastsImmune checkpoint blockadePancreatic cancerCheckpoint blockadePDAC patientsTumor microenvironmentQuantitative immunofluorescenceExpression levelsProgression-free survivalLarge retrospective cohortMajority of patientsPotential prognostic valueLow tumor immunogenicityPotential clinical utilityDesmoplastic tumor microenvironmentImmunoinhibitory proteinOverall survivalRetrospective cohortIndependent predictorsImmunotherapy drugsPrognostic significancePrognostic valueTumor expressionTargeting Pyruvate Kinase M2 Phosphorylation Reverses Aggressive Cancer Phenotypes
Apostolidi M, Vathiotis IA, Muthusamy V, Gaule P, Gassaway BM, Rimm DL, Rinehart J. Targeting Pyruvate Kinase M2 Phosphorylation Reverses Aggressive Cancer Phenotypes. Cancer Research 2021, 81: 4346-4359. PMID: 34185676, PMCID: PMC8373815, DOI: 10.1158/0008-5472.can-20-4190.Peer-Reviewed Original ResearchMeSH KeywordsActive Transport, Cell NucleusAnimalsBiomarkers, TumorCarrier ProteinsCell Line, TumorCollagenCyclic N-OxidesDrug CombinationsGenome, HumanHumansIndolizinesLamininMCF-7 CellsMembrane ProteinsMiceNeoplasm InvasivenessNeoplasm TransplantationNeoplasmsOxidation-ReductionPhenotypePhosphorylationProtein IsoformsProteoglycansProteomicsPyridazinesPyridinium CompoundsPyrrolesPyruvate KinaseThyroid HormonesTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerPyruvate kinase M2TEPP-46Breast cancerAggressive breast cancer cell phenotypesCharacteristic nuclear staining patternAggressive breast cancer subtypeAggressive breast cancer phenotypeBreast cancer cell phenotypeCDK inhibitor dinaciclibCombination of dinaciclibLack of biomarkersEffective therapeutic approachBreast cancer phenotypeBreast cancer subtypesCancer phenotypePhosphorylation of PKM2Cyclin-dependent kinase (CDK) pathwayMouse xenograft modelAggressive cancer phenotypeNuclear staining patternLower survival rateImpaired redox balancePrognostic valueCancer cell phenotypeAutomated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, Taback B, Geskin LJ, Horst B, Gardner K, Niedt G, Celebi JT, Gartrell-Corrado RD, Messina J, Ferringer T, Rimm DL, Saltz J, Wang J, Vanguri R, Saenger YM. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports 2021, 11: 2809. PMID: 33531581, PMCID: PMC7854647, DOI: 10.1038/s41598-021-82305-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiopsyChemotherapy, AdjuvantClinical Decision-MakingDeep LearningFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNeoplasm StagingPatient SelectionPrognosisRetrospective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsYoung AdultConceptsTumor-infiltrating lymphocytesDisease-specific survivalEarly-stage melanomaOpen-source deep learningCutoff valueMultivariable Cox proportional hazards analysisCox proportional hazards analysisDeep learningLow-risk patientsProportional hazards analysisKaplan-Meier analysisAccurate prognostic biomarkersEosin imagesAccuracy of predictionAdjuvant therapyRisk patientsSpecific survivalPrognostic valueValidation cohortReceiver operating curvesTraining cohortTIL analysisClinical trialsPrimary melanomaPrognostic biomarker
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 biomarkers
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 markerValidation 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 DFS
2013
Programmed death ligand-1 expression in non-small cell lung cancer
Velcheti V, Schalper KA, Carvajal DE, Anagnostou VK, Syrigos KN, Sznol M, Herbst RS, Gettinger SN, Chen L, Rimm DL. Programmed death ligand-1 expression in non-small cell lung cancer. Laboratory Investigation 2013, 94: 107-116. PMID: 24217091, PMCID: PMC6125250, DOI: 10.1038/labinvest.2013.130.Peer-Reviewed Original ResearchMeSH KeywordsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorChi-Square DistributionCohort StudiesConnecticutFemaleGreeceHumansImmunohistochemistryLung NeoplasmsLymphocytes, Tumor-InfiltratingMalePrognosisReproducibility of ResultsRNA, MessengerSurvival AnalysisTissue Array AnalysisConceptsNon-small cell lung cancerPD-L1 expressionCell lung cancerPD-L1Tissue microarrayBetter outcomesNSCLC casesLung cancerDeath ligand 1 (PD-L1) expressionCell death ligand 1PD-L1 protein expressionEarly phase clinical trialsLigand 1 expressionTumor-infiltrating lymphocytesDeath ligand 1Significant better outcomePD-L1 mRNAPD-L1 proteinPhase clinical trialsNormal human placentaPrediction of responseQuantitative fluorescence approachesFrequency of expressionPD-1Prognostic valueHigh Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer
Liu M, Mor G, Cheng H, Xiang X, Hui P, Rutherford T, Yin G, Rimm DL, Holmberg J, Alvero A, Silasi DA. High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer. Reproductive Sciences 2013, 20: 605-615. PMID: 23171677, PMCID: PMC3635069, DOI: 10.1177/1933719112461183.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorCarcinoma, Ovarian EpithelialDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmFemaleHumansHyaluronan ReceptorsKaplan-Meier EstimateKeratin-19Middle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsProportional Hazards ModelsRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeConceptsPutative ovarian cancer stem cellsOvarian cancer stem cellsProgression-free intervalCancer stem cellsRecurrent epithelial ovarian cancerShorter disease-free intervalShorter progression-free intervalDisease-free intervalResidual tumor volumeEpithelial ovarian cancerLog-rank testEpithelial ovarian cancer cellsIndependent significant predictorsAdvanced stage EOCOvarian cancer cellsStem cellsMean followObstetrics stageUnivariable analysisClinicopathologic featuresMultivariable analysisRetrospective studyPrognostic valueOvarian cancerTumor volume
2012
Measurement of Aldehyde Dehydrogenase 1 Expression Defines a Group with Better Prognosis in Patients with Non-Small Cell Lung Cancer
Dimou A, Neumeister V, Agarwal S, Anagnostou V, Syrigos K, Rimm DL. Measurement of Aldehyde Dehydrogenase 1 Expression Defines a Group with Better Prognosis in Patients with Non-Small Cell Lung Cancer. American Journal Of Pathology 2012, 181: 1436-1442. PMID: 22877687, DOI: 10.1016/j.ajpath.2012.06.037.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerAldehyde dehydrogenase 1Cell lung cancerALDH1 expressionBetter prognosisLung cancerBreast cancerYale cohortQuantitative immunofluorescenceAldehyde dehydrogenase 1 (ALDH1) expressionPatras University HospitalSquamous cell carcinomaCancer stem cellsClinicopathologic factorsPoor outcomePrognostic valueRetrospective studyShorter survivalCell carcinomaUniversity HospitalSurrogate biomarkerFavorable outcomeLarge cohortTissue microarrayPatientsStathmin expression and its relationship to microtubule‐associated protein tau and outcome in breast cancer
Baquero MT, Hanna JA, Neumeister V, Cheng H, Molinaro AM, Harris LN, Rimm DL. Stathmin expression and its relationship to microtubule‐associated protein tau and outcome in breast cancer. Cancer 2012, 118: 4660-4669. PMID: 22359235, PMCID: PMC3391341, DOI: 10.1002/cncr.27453.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnalysis of VarianceBiomarkers, TumorBlotting, WesternBreastBreast NeoplasmsCell Line, TumorCohort StudiesFemaleFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm StagingOdds RatioPredictive Value of TestsPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsRNA, Small InterferingStathminTau ProteinsTissue Array AnalysisTreatment OutcomeConceptsHigh stathmin expressionDisease-free survivalMAP-tauOverall survivalStathmin expressionBreast cancerHuman epidermal growth factor receptor 2 (HER2) expressionEpidermal growth factor receptor 2 expressionMultivariate analysisCox proportional hazards modelWorse overall survivalReceptor 2 expressionTissue microarray formatMicrotubule-associated protein tauProportional hazards modelBreast cancer cohortIndependent predictorsMenopausal statusNodal statusBetter prognosisPrognostic valueTumor sizePathological characteristicsProgesterone receptorNuclear grade
2011
Standardization of Epidermal Growth Factor Receptor (EGFR) Measurement by Quantitative Immunofluorescence and Impact on Antibody-Based Mutation Detection in Non–Small Cell Lung Cancer
Dimou A, Agarwal S, Anagnostou V, Viray H, Christensen S, Rothberg B, Zolota V, Syrigos K, Rimm DL. Standardization of Epidermal Growth Factor Receptor (EGFR) Measurement by Quantitative Immunofluorescence and Impact on Antibody-Based Mutation Detection in Non–Small Cell Lung Cancer. American Journal Of Pathology 2011, 179: 580-589. PMID: 21722621, PMCID: PMC3157192, DOI: 10.1016/j.ajpath.2011.04.031.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCell lung cancerPrognostic valueMutation-specific antibodiesLung cancerQuantitative immunofluorescenceEpidermal growth factor receptor (EGFR) protein expressionIndependent NSCLC cohortsPopulation-based cohortEGFR mutation rateReceptor protein expressionTotal proteinFalse-positive casesPrediction of responseWestern blot analysisNSCLC cohortRetrospective cohortReceptor measurementsYale cohortEGFR expressionCohortEGFRAQUA technologyProtein expressionAntibodiesEvaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts
Baquero MT, Lostritto K, Gustavson MD, Bassi KA, Appia F, Camp RL, Molinaro AM, Harris LN, Rimm DL. Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts. Breast Cancer Research 2011, 13: r85. PMID: 21888627, PMCID: PMC3262195, DOI: 10.1186/bcr2937.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCohort StudiesCyclophosphamideCytoplasmDocetaxelDoxorubicinEpithelial CellsFemaleFluorouracilHumansKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRetrospective StudiesSurvival RateTau ProteinsTaxoidsConceptsOverall survivalBreast cancer cohortTreatment armsPredictive markerCancer cohortPredictive valueResponse rateConventional whole tissue sectionsMAP-tauImproved overall survivalHigh expressionMicrotubule associated protein tauTaxane-based chemotherapyKaplan-Meier analysisLonger median timeUseful predictive markerCox univariate analysisIndependent breast cancer cohortsWhole tissue sectionsFAC chemotherapyLonger TTPMedian timeMeier analysisPrognostic valueClinicopathologic variables
2010
Evaluation of the incidence and prognostic value of mutant epidermal growth factor receptor (EGFRvIII) protein expression in head and neck squamous cell carcinomas (HNSCC) using AQUA.
Pectasides E, Fountzilas G, Kountourakis P, Gouveris P, Sasaki C, Duffey D, Rimm D, Burtness B, Psyrri D. Evaluation of the incidence and prognostic value of mutant epidermal growth factor receptor (EGFRvIII) protein expression in head and neck squamous cell carcinomas (HNSCC) using AQUA. Journal Of Clinical Oncology 2010, 28: 5538-5538. DOI: 10.1200/jco.2010.28.15_suppl.5538.Peer-Reviewed Original ResearchThe prognostic value of STAT3 protein in patients with head and neck squamous cell carcinoma (HNSCC) harboring PTEN loss.
Fountzilas G, Pectasides E, Kountourakis P, Gouveris P, Sasaki C, Duffey D, Pectasides D, Rimm D, Burtness B, Psyrri D. The prognostic value of STAT3 protein in patients with head and neck squamous cell carcinoma (HNSCC) harboring PTEN loss. Journal Of Clinical Oncology 2010, 28: 5550-5550. DOI: 10.1200/jco.2010.28.15_suppl.5550.Peer-Reviewed Original ResearchIn Situ Identification of Putative Cancer Stem Cells by Multiplexing ALDH1, CD44, and Cytokeratin Identifies Breast Cancer Patients with Poor Prognosis
Neumeister V, Agarwal S, Bordeaux J, Camp RL, Rimm DL. In Situ Identification of Putative Cancer Stem Cells by Multiplexing ALDH1, CD44, and Cytokeratin Identifies Breast Cancer Patients with Poor Prognosis. American Journal Of Pathology 2010, 176: 2131-2138. PMID: 20228222, PMCID: PMC2861079, DOI: 10.2353/ajpath.2010.090712.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAldehyde DehydrogenaseAldehyde Dehydrogenase 1 FamilyBreast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansHyaluronan ReceptorsIsoenzymesKeratinsMiddle AgedNeoplastic Stem CellsPrognosisRetinal DehydrogenaseRetrospective StudiesConceptsCancer stem cellsPutative cancer stem cellsBreast cancerIdentifies high-risk patientsPresence of CSCsNode-positive patientsHigh-risk patientsBreast cancer patientsAggressive tumor behaviorParaffin-embedded breast cancer tissuesBreast cancer tissuesFlow cytometric studyStem cellsMean followNodal statusRisk patientsTumor persistenceCD44 positivityPoor prognosisPrognostic valueTumor sizeHistological gradeALDH1 positivityCancer patientsWorse outcomes
2009
Tissue Biomarkers for Prognosis in Cutaneous Melanoma: A Systematic Review and Meta-analysis
Rothberg BE, Bracken MB, Rimm DL. Tissue Biomarkers for Prognosis in Cutaneous Melanoma: A Systematic Review and Meta-analysis. Journal Of The National Cancer Institute 2009, 101: 452-474. PMID: 19318635, PMCID: PMC2720709, DOI: 10.1093/jnci/djp038.Peer-Reviewed Original ResearchConceptsCohort studyCutaneous melanomaMelanoma cell adhesion moleculeSystematic reviewEarly-stage cutaneous melanomaPotential prognostic valueMatrix metalloproteinase-2Cell nuclear antigenREMARK criteriaAdjuvant therapyMultivariable analysisREMARK guidelinesRisk stratificationPrognostic valueSurvival outcomesIncomplete adherenceMelanoma outcomesClinical managementImmunohistochemical expressionCell adhesion moleculeInclusion criteriaKi-67Tissue biomarkersClinical practiceMetalloproteinase-2