2018
CD68, CD163, and matrix metalloproteinase 9 (MMP-9) co-localization in breast tumor microenvironment predicts survival differently in ER-positive and -negative cancers
Pelekanou V, Villarroel-Espindola F, Schalper KA, Pusztai L, Rimm DL. CD68, CD163, and matrix metalloproteinase 9 (MMP-9) co-localization in breast tumor microenvironment predicts survival differently in ER-positive and -negative cancers. Breast Cancer Research 2018, 20: 154. PMID: 30558648, PMCID: PMC6298021, DOI: 10.1186/s13058-018-1076-x.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic AgentsBiomarkers, TumorBreastBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansMacrophagesMatrix Metalloproteinase 9Middle AgedPatient SelectionPrognosisReceptors, Cell SurfaceReceptors, EstrogenRetrospective StudiesSurvival AnalysisTissue Array AnalysisTumor MicroenvironmentConceptsTumor-associated macrophagesOverall survivalQuantitative immunofluorescenceMacrophage markersBreast cancerHigh expressionPan-macrophage marker CD68Triple-negative breast cancerCD163/CD68Multiplexed quantitative immunofluorescenceImproved overall survivalProtein expressionWorse overall survivalPoor overall survivalMMP-9 protein expressionSubclass of patientsMacrophage-targeted therapiesMatrix metalloproteinase-9Tissue microarray formatMMP-9 proteinBreast tumor microenvironmentModulator of responseParaffin-embedded tissuesBreast cancer biomarkersCohort B
2010
Molecular Anatomy of Breast Cancer Stroma and Its Prognostic Value in Estrogen Receptor–Positive and –Negative Cancers
Bianchini G, Qi Y, Alvarez RH, Iwamoto T, Coutant C, Ibrahim NK, Valero V, Cristofanilli M, Green MC, Radvanyi L, Hatzis C, Hortobagyi GN, Andre F, Gianni L, Symmans WF, Pusztai L. Molecular Anatomy of Breast Cancer Stroma and Its Prognostic Value in Estrogen Receptor–Positive and –Negative Cancers. Journal Of Clinical Oncology 2010, 28: 4316-4323. PMID: 20805453, DOI: 10.1200/jco.2009.27.2419.Peer-Reviewed Original ResearchMeSH KeywordsAmyloid beta-Protein PrecursorAntineoplastic Agents, HormonalBiopsy, Fine-NeedleB-LymphocytesBreast NeoplasmsChi-Square DistributionCollagen Type IVExtracellular Matrix ProteinsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMetagenomeNeoplasm Recurrence, LocalPhospholipid Transfer ProteinsPrognosisProportional Hazards ModelsProspective StudiesProtease NexinsProtein Serine-Threonine KinasesReceptor, Transforming Growth Factor-beta Type IIReceptors, Cell SurfaceReceptors, EstrogenReceptors, Transforming Growth Factor betaSurvival AnalysisTamoxifenConceptsER-negative cancersBreast cancer stromaER-positive cancersPrognostic valueCancer stromaNegative cancersProliferative cancersSystemic adjuvant therapyTamoxifen-treated patientsNode-negative patientsEstrogen-receptor positiveStrong prognostic valueCore needle biopsySubset of tumorsLess prognostic valueDistant relapseAdjuvant therapyHazard ratioFavorable prognosisHighest tertilePrognostic scoreCore biopsyBreast cancerImmune functionMultivariate analysis
2003
Breast cancer biomarkers and molecular medicine
Ross JS, Linette GP, Stec J, Clark E, Ayers M, Leschly N, Symmans WF, Hortobagyi GN, Pusztai L. Breast cancer biomarkers and molecular medicine. Expert Review Of Molecular Diagnostics 2003, 3: 573-585. PMID: 14510178, DOI: 10.1586/14737159.3.5.573.Peer-Reviewed Original ResearchConceptsCell cycle regulatorsInvasion-associated proteinsTumor suppressor geneTranscription factorsTranscriptional profilingDNA repairGrowth factor receptorCell adhesion moleculeDrug resistance proteinsGenomic microarraysCycle regulatorsBreast cancer biomarkersPrognostic factorsApoptosis regulatorEpithelial growth factor receptorSuppressor geneHormone receptor proteinsBreast cancer predispositionCancer predispositionReceptor proteinCytogenetic markersResistance proteinBreast cancer prognostic factorsCancer biomarkersFactor receptor