2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survival
2015
Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis
Wang Z, Katsaros D, Shen Y, Fu Y, Canuto EM, Benedetto C, Lu L, Chu WM, Risch HA, Yu H. Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis. PLOS ONE 2015, 10: e0136246. PMID: 26287798, PMCID: PMC4546117, DOI: 10.1371/journal.pone.0136246.Peer-Reviewed Original ResearchConceptsBreast cancer prognosisCancer prognosisGene expression signaturesExpression signaturesPoor disease-free survivalDisease-free survivalBreast cancer patientsBreast cancer cell linesBreast cancer progressionMDA-MB-468Tumor cell growthMDA-MB-231Multiple gene expression signaturesCancer cell linesAggressive tumorsCancer patientsClinical significanceDisease outcomeTumor featuresClinical implicationsPrognosisCancer progressionBiologic relevanceHigh expressionCell proliferation
2012
Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer
Lu L, Zhu G, Zhang C, Deng Q, Katsaros D, Mayne ST, Risch HA, Mu L, Canuto EM, Gregori G, Benedetto C, Yu H. Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer. Breast Cancer Research And Treatment 2012, 136: 875-883. PMID: 23124417, DOI: 10.1007/s10549-012-2314-z.Peer-Reviewed Original ResearchConceptsPrimary breast cancerBreast cancerHOTAIR expressionPathologic featuresCox proportional hazards regression modelProportional hazards regression modelsLow HOTAIR expressionUnfavorable disease characteristicsHazards regression modelsIndependent prognostic markerHigh HOTAIR expressionBreast cancer progressionQuantitative RT-PCRPatient survivalDisease characteristicsMethylation-specific PCRPrognostic markerLower riskSignificant associationRNA HOTAIRCancerCancer progressionBiologic relevanceRT-PCRDNA methylation
2008
TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival
Mu L, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Yu H. TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival. British Journal Of Cancer 2008, 99: 1357-1363. PMID: 18827819, PMCID: PMC2570529, DOI: 10.1038/sj.bjc.6604689.Peer-Reviewed Original ResearchConceptsHigher TGF-β1TGF-β1 genotypesTGF-β1T genotypeHazard ratioBreast cancerBreast tumorsProportional hazards regression analysisLower TGF-β1Early-stage diseaseHazards regression analysisBreast cancer patientsLate-stage diseaseShorter overall survivalFresh tumor samplesTGF-β1 concentrationsBreast cancer progressionClinical characteristicsIGFBP-3Overall survivalDisease recurrenceReceptor statusPatient survivalSurvival outcomesDisease stage