2021
Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study
Yaghoobi V, Moutafi M, Aung TN, Pelekanou V, Yaghoubi S, Blenman K, Ibrahim E, Vathiotis IA, Shafi S, Sharma A, O’Meara T, Fernandez AI, Pusztai L, Rimm DL. Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study. Breast Cancer Research 2021, 23: 113. PMID: 34906209, PMCID: PMC8670126, DOI: 10.1186/s13058-021-01493-w.Peer-Reviewed Original ResearchConceptsNegative breast cancerT cellsTumor microenvironmentAA patientsImmune cellsAA tumorsBreast cancerPurposeTriple-negative breast cancerAfrican AmericansTriple-negative breast cancerCase-control studySignificant differencesActivated T cellsImmunologic biomarkersPD-L1Lymphocytic infiltrationLymphoid infiltrationImmune microenvironmentControl cohortTNBC tumorsMyeloid markersQuantitative immunofluorescenceMean expression levelPatientsTNBC
2017
Differences in the immune microenvironment and genomic characteristics of TNBC in African American women compared to other races.
Szekely B, Safonov A, Karn T, Bhagwagar S, Killelea B, Silber A, Hatzis C, Pusztai L. Differences in the immune microenvironment and genomic characteristics of TNBC in African American women compared to other races. Journal Of Clinical Oncology 2017, 35: e13028-e13028. DOI: 10.1200/jco.2017.35.15_suppl.e13028.Peer-Reviewed Original ResearchTriple-negative breast cancerNon-AA patientsImmune microenvironmentAfrican American womenImmune signaturesNeoantigen loadImmune metagenesLower pathologic complete response (pCR) ratesPathologic complete response rateComplete response rateNegative breast cancerAmerican womenMann-Whitney U testSignificant differencesClonal heterogeneityTCGA data setsDeletion loadNeoadjuvant therapyLymphocyte countTIL countAA patientsOverall mutational loadHistologic tumorsBreast cancerTreatment response
2013
Neoadjuvant Doxorubicin/Cyclophosphamide Followed by Ixabepilone or Paclitaxel in Early Stage Breast Cancer and Evaluation of βIII‐Tubulin Expression as a Predictive Marker
Saura C, Tseng L, Chan S, Chacko RT, Campone M, Manikhas A, Nag SM, Leichman CG, Dasappa L, Fasching PA, de Mendoza F, Symmans WF, Liu D, Mukhopadhyay P, Horak C, Xing G, Pusztai L. Neoadjuvant Doxorubicin/Cyclophosphamide Followed by Ixabepilone or Paclitaxel in Early Stage Breast Cancer and Evaluation of βIII‐Tubulin Expression as a Predictive Marker. The Oncologist 2013, 18: 787-794. PMID: 23853246, PMCID: PMC3720631, DOI: 10.1634/theoncologist.2013-0075.Peer-Reviewed Original ResearchConceptsEarly-stage breast cancerStage breast cancerPathologic complete responseΒIII-tubulin expressionBreast cancerTreatment armsWeekly paclitaxelPositive patientsPredictive markerNeoadjuvant doxorubicin/cyclophosphamideRandomized phase II trialΒIII-tubulinCommon nonhematologic toxicitiesDoxorubicin/cyclophosphamideInvasive breast adenocarcinomaPhase II trialCore needle biopsyCycles of ACHigh response rateSignificant differencesNeoadjuvant cyclophosphamideNonhematologic toxicityNeoadjuvant treatmentII trialNegative patientsCorrelation of intratumor gene expression heterogeneity with chemotherapy sensitivity in breast cancer.
Natowicz R, Jiang T, Shi W, Qi Y, Delpech Y, Symmans W, Pusztai L. Correlation of intratumor gene expression heterogeneity with chemotherapy sensitivity in breast cancer. Journal Of Clinical Oncology 2013, 31: 1013-1013. DOI: 10.1200/jco.2013.31.15_suppl.1013.Peer-Reviewed Original ResearchPathologic complete responseBasal-like cancersBreast cancerNeoadjuvant chemotherapyChemotherapy sensitivityCancer subtypesLuminal B cancersDifferent molecular subtypesBreast cancer subtypesB cancersComplete responseLuminal cancersResidual diseaseMolecular subtypesStage ICancerGene signatureGreat heterogeneitySubtypesTumor heterogeneityChemotherapySignificant differences
2011
P4-16-02: Problems with Identifying Bone Metastasis-Specific Genes without Considering Biological Differences between ER-Positive and ER-Negative Breast Cancers.
Hayashi N, Iwamoto T, Qi Y, Niikura N, Santarpia L, Nakamura S, Hortobagyi G, Pusztai L, Symmans F, Ueno N. P4-16-02: Problems with Identifying Bone Metastasis-Specific Genes without Considering Biological Differences between ER-Positive and ER-Negative Breast Cancers. Cancer Research 2011, 71: p4-16-02-p4-16-02. DOI: 10.1158/0008-5472.sabcs11-p4-16-02.Peer-Reviewed Original ResearchER-negative breast cancerER-positive breast cancerMetastasis-specific genesBone metastasesER statusBreast cancerPrimary invasive breast cancer patientsInvasive breast cancer patientsCox proportional hazards modelER-negative breast cancer cell linesNon-bone metastasisFirst metastatic siteBreast cancer patientsProportional hazards modelBreast cancer cell linesSignificant differencesBiological differencesCancer cell linesMetastatic sitesER-positiveCancer patientsDifferent biological potentialsHazards modelPatientsMetastasis
2010
Different gene expressions are associated with the different molecular subtypes of inflammatory breast cancer
Iwamoto T, Bianchini G, Qi Y, Cristofanilli M, Lucci A, Woodward WA, Reuben JM, Matsuoka J, Gong Y, Krishnamurthy S, Valero V, Hortobagyi GN, Robertson F, Symmans WF, Pusztai L, Ueno NT. Different gene expressions are associated with the different molecular subtypes of inflammatory breast cancer. Breast Cancer Research And Treatment 2010, 125: 785-795. PMID: 21153052, PMCID: PMC4109066, DOI: 10.1007/s10549-010-1280-6.Peer-Reviewed Original ResearchConceptsInflammatory breast cancerClinical subtypesBreast cancerNon-IBC patientsCase-control studyDistinct clinical subtypesDifferent molecular subtypesNon-IBC tumorsSignificant differencesNon-IBC specimensImmune system-related pathwaysLipid metabolism-related pathwaysHER2 statusReceptor phenotypeMetabolism-related pathwaysMolecular subtypesIBC tumorsSurvival curvesSubtypesTumor samplesHormone receptorsCancerPatientsT-testHER2