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
2004
Methylation of tumor suppressor gene p16 and prognosis of epithelial ovarian cancer
Katsaros D, Cho W, Singal R, Fracchioli S, de la Longrais I, Arisio R, Massobrio M, Smith M, Zheng W, Glass J, Yu H. Methylation of tumor suppressor gene p16 and prognosis of epithelial ovarian cancer. Gynecologic Oncology 2004, 94: 685-692. PMID: 15350359, DOI: 10.1016/j.ygyno.2004.06.018.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOvarian cancer prognosisOvarian cancerP16 methylationMethylation-specific PCRCancer prognosisPrimary epithelial ovarian cancerResidual tumor sizePromoter methylationRegression survival analysisOvarian cancer progressionFresh frozen tumor tissueP16 promoter methylationFrozen tumor tissueAdvanced diseaseNegative patientsOverall survivalPatient agePositive patientsPathological variablesTumor sizeDisease stageHistological gradeAggressive tumorsDisease progression