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
2000
p53 gene mutation, tumor p53 protein overexpression, and serum p53 autoantibody generation in patients with breast cancer
Angelopoulou K, Yu H, Bharaj B, Giai M, Diamandis E. p53 gene mutation, tumor p53 protein overexpression, and serum p53 autoantibody generation in patients with breast cancer. Clinical Biochemistry 2000, 33: 53-62. PMID: 10693987, DOI: 10.1016/s0009-9120(99)00084-3.Peer-Reviewed Original ResearchConceptsAntibody-positive patientsP53 gene mutationsP53 protein accumulationAntibody-negative patientsP53 antibodiesSeronegative patientsGene mutationsP53 accumulationBreast cancerProportion of patientsPrimary breast cancerFormer patient groupP53 protein overexpressionPatient groupAutoantibody generationProtein accumulationImmune responseSuch antibodiesDirect DNA sequencingCorresponding tumorsPatientsImmunofluorometric assayGene abnormalitiesCancerP53 gene