2022
Molecular differences between younger versus older ER-positive and HER2-negative breast cancers
Qing T, Karn T, Rozenblit M, Foldi J, Marczyk M, Shan N, Blenman K, Holtrich U, Kalinsky K, Meric-Bernstam F, Pusztai L. Molecular differences between younger versus older ER-positive and HER2-negative breast cancers. Npj Breast Cancer 2022, 8: 119. PMID: 36344517, PMCID: PMC9640562, DOI: 10.1038/s41523-022-00492-0.Peer-Reviewed Original ResearchBreast cancerYounger patientsHER2-negative breast cancerNode-positive breast cancerNode-negative diseaseSame clinical featuresHigh mutation burdenLower mRNA expressionAdjuvant chemotherapyMicroarray cohortTAILORx trialOvarian suppressionOlder patientsPatient ageClinical featuresProliferation-related gene expressionScore 0Mutation burdenCopy number gainsOlder womenGATA3 mutationsAge groupsGene signatureMRNA expressionChemotherapyTumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer
Marczyk M, Qing T, O’Meara T, Yagahoobi V, Pelekanou V, Bai Y, Reisenbichler E, Cole KS, Li X, Gunasekharan V, Ibrahim E, Fanucci K, Wei W, Rimm DL, Pusztai L, Blenman KRM. Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer. Npj Breast Cancer 2022, 8: 88. PMID: 35869114, PMCID: PMC9307813, DOI: 10.1038/s41523-022-00449-3.Peer-Reviewed Original ResearchTumor immune microenvironmentImmune microenvironmentTriple-negative breast cancer tissuesTriple-negative breast cancerAfrican AmericansImmune checkpoint inhibitorsTumor mutation burdenNegative breast cancerBreast cancer tissuesImmune-related pathwaysStromal TILsCheckpoint inhibitorsImmune exclusionClinical outcomesPD-L1Self-identified African AmericansCancer patientsImmune infiltrationBreast cancerMutation burdenCancer tissuesPredictive signatureMRNA expressionTherapeutic agentsPatients
2020
Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden
Qing T, Mohsen H, Marczyk M, Ye Y, O’Meara T, Zhao H, Townsend JP, Gerstein M, Hatzis C, Kluger Y, Pusztai L. Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden. Nature Communications 2020, 11: 2438. PMID: 32415133, PMCID: PMC7228928, DOI: 10.1038/s41467-020-16293-7.Peer-Reviewed Original ResearchConceptsAge groupsGermline variantsSomatic mutationsLate-onset cancerEarly-onset cancersCancer hallmark genesSomatic mutation burdenMutation burdenMalignant transformationCancer genesYounger ageGermline alterationsCancerVariant burdenBurdenAverage numberHallmark genesAgeNegative correlationStrong negative correlationMutationsPatientsGroup
2016
Predictors of Chemosensitivity in Triple Negative Breast Cancer: An Integrated Genomic Analysis
Jiang T, Shi W, Wali VB, Pongor L, Li C, Lau R, Győrffy B, Lifton RP, Symmans WF, Pusztai L, Hatzis C. Predictors of Chemosensitivity in Triple Negative Breast Cancer: An Integrated Genomic Analysis. PLOS Medicine 2016, 13: e1002193. PMID: 27959926, PMCID: PMC5154510, DOI: 10.1371/journal.pmed.1002193.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerPathologic complete responseMD Anderson Cancer CenterNegative breast cancerBreast cancerMutation burdenExtensive residual diseaseBetter survival outcomesBRCA deficiencyImmune cell activityAnderson Cancer CenterPredictor of chemosensitivityHigh mutation burdenWhole-exome sequencingACT chemotherapyMDACC cohortTNBC cohortNeoadjuvant chemotherapyCare chemotherapyTaxane chemotherapyCancer Genome AtlasComplete responseSuch patientsImproved survivalAggressive disease