Cancer Clusters.

Intro -- CANCER CLUSTERS -- CANCER CLUSTERS -- Contents -- Preface -- Chapter I Role of Regulatory T Cells (Tregs) in Cancer Progression and Interference with Immunotherapy of Cancer -- Abstract -- Introduction -- Role of Cytotoxic TILs and Tumor-infiltrating Tregs in Cancer Progression -- Lymphocytes of Malignant Effusions -- Immunotherapy of Cancer and Tregs -- LAK/IL-2 Immunotherapy of Malignant Effusion -- Conclusion -- References -- Chapter II Symptom Clusters of Cancer Patients -- Abstract -- Introduction -- Theoretical Perspectives on Symptom Clusters -- Frequency of Cancer Symptoms -- Response to Symptoms -- Symptoms Outcome -- Assessment of Cancer Symptom -- Evaluation of Cancer Symptoms -- Value of Symptom Assessment -- Symptom Management -- Barriers to Symptom Management -- Symptom Management Strategies -- Conclusion -- References -- Chapter III Oncogene Detection and Pathological Stage Identification by Computer Science Techniques -- Abstract -- 1. Introduction -- 2. Cancer-Related Gene Selection Methods -- 3. Unsupervised Methods: Clustering Analysis -- 4. Supervised Methods: Classification Analysis -- Conclusion -- References -- Chapter IV Patient-centered Symptom Clustering in Advanced Cancer Patients -- Abstract -- Introduction of Symptoms in Advancedd Cancer Patients -- The Importance of Symptom Management -- Symptom Clusters in Advanced Cancer -- Clinically-Determined v.s. Statistically-Determined Cancer Symptom Clusters -- Common Symptom Clusters in Advanced Cancer -- Clusters and Populations -- Cluster Stability -- Symptom Clusters and Performance Status -- Symptom Clusters and Prognosis -- Assessment of the Symptom Clusters in Advanced Cancer Patients -- Management of the Symptom Clusters in Advanced Cancer Patients -- The Holistic Point of View of Cancer Symptom Clusters -- Conclusion -- References.

Chapter V Intraoperative Immunomagnetic Separation of CK+ Cells to Identify Occult Micrometastases of NSCLC and Esophageal Cancer -- Abstract -- Introduction -- Patients and Methods -- Patients -- Bone Marrow Aspirate and Lymph Node Preparation -- Immunocytochemistry -- Immunomagnetic Enrichment of Isolated Cell Population -- Fluorescent Cytometry -- Cytological Examination -- Results and Discussion -- Immunocytochemical Detection of CK+ Cells in Bone Marrow Samples -- Conclusion -- References -- Chapter VI SurveillanceandDetectionofSpace-TimeClustersUsingAdaptiveBayesFactor -- Abstract -- 1.Introduction -- 2.TheDetectionofSpace-TimeClusters -- 2.1.FormulationoftheSpace-TimeClusterDetectionProblem -- 2.2.Notation -- 3.SurveillanceandDetectionofSpace-TimeClustersUsingAdaptiveBayesFactor(ABF) -- 3.1.TheBayesFactorforSpace-TimeSurveillance -- 3.2.TheMIX-BFFalseAlarmRate -- 3.3.AdaptiveBayesFactorforSurveillanceandDetectionofSpace-TimeClusters -- 4.SimulatedDataStudy -- 4.1.EmergingClusterModel -- 4.2.ComputationalAspectsoftheSimulation -- 4.3.AdaptiveABFPerformance -- 4.4.AnalysisoftheSimulationResults -- 5.Application:ThyroidCancerClustersinNewMexico,1973-1992 -- 6.Conclusion -- Acknowledgments -- References -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.