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Gastric Cancer Prewarning and Early Diagnosis System
Title statement Gastric Cancer Prewarning and Early Diagnosis System [electronic resource] / edited by Daxiang Cui. Publication Dordrecht : Springer Netherlands : Imprint: Springer, 2017. Phys.des. VIII, 355 p. 174 illus., 144 illus. in color. online resource. ISBN 9789402409512 Edition Translational Medicine Research, ISSN 2451-991X Contents Background of Gastric Cancer Prewarning and Early Diagnosis System -- Human Serum Protein Markers for Gastric Cancer Detection -- Screening and Detection of Gastric Cancer Circulating microRNA biomarkers -- Screening and Identification of Biomarkers from Gastric Cancer Saliva Metabolites -- Metabolic Profiles and High-accuracy Diagnosis Model Based on Plasma Metabolomics of Gastric Cancer Patients -- Identification of Volatile Organic Compound Biomarkers associated with Gastric Cancer Cells and Their Ultrasensitive Electrochemical Detection -- A Breath Analysis Based on SERS Sensor to Distinguish Patients with Early and Advanced Stages of Gastric Cancer from Healthy People -- The application of immune chromatography analysis in early detection of gastric cancer -- Applications of Magnetic Nanoparticles Based High-Throughput Single Nucleotides Polymorphisms Genotyping Platforms in Gastric Cancer Research -- Single Cell Manipulation Technology for Cancer Research -- Multifunctional nanoprobes for theranostics of gastric cancer -- Up-Conversion Nanoparticles for Gastric Cancer Targeted Imaging and Therapy -- Stem Cells and Gastric Cancer -- Safety assessment of nanoprobes -- Gastric Cancer prewarning database and bioinformatics analysis. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. Cui, Daxiang. Another responsib. SpringerLink (Online service) Subj. Headings Medicine. * Cancer research. * Radiology. * Biology - Technique. Form, Genre elektronické knihy electronic books Country Nizozemsko Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL 
book
The book explores recent developments in the application of nanotechnology in the early detection of gastric cancer. It discusses various aspects, such as screening for gastric cancer-associated biomarkers; establishing new ultrasensitive detection methods based on nanoparticle labeling and nanoeffects; developing a new generation of nanodevices for high-throughput examination of serum and breath biomarkers; developing multifunctional nanoprobes for targeted imaging and simultaneous therapy of gastric cancer; evaluating the biosafety of multifunctional nanoprobes; and the establishment of a pre-warning and early diagnosis system. It also presents clinical applications and prospects. The book provides a valuable reference for researchers in nanomedicine and clinicians involved in gastric cancer and radiology.
Background of Gastric Cancer Prewarning and Early Diagnosis System -- Human Serum Protein Markers for Gastric Cancer Detection -- Screening and Detection of Gastric Cancer Circulating microRNA biomarkers -- Screening and Identification of Biomarkers from Gastric Cancer Saliva Metabolites -- Metabolic Profiles and High-accuracy Diagnosis Model Based on Plasma Metabolomics of Gastric Cancer Patients -- Identification of Volatile Organic Compound Biomarkers associated with Gastric Cancer Cells and Their Ultrasensitive Electrochemical Detection -- A Breath Analysis Based on SERS Sensor to Distinguish Patients with Early and Advanced Stages of Gastric Cancer from Healthy People -- The application of immune chromatography analysis in early detection of gastric cancer -- Applications of Magnetic Nanoparticles Based High-Throughput Single Nucleotides Polymorphisms Genotyping Platforms in Gastric Cancer Research -- Single Cell Manipulation Technology for Cancer Research -- Multifunctional nanoprobes for theranostics of gastric cancer -- Up-Conversion Nanoparticles for Gastric Cancer Targeted Imaging and Therapy -- Stem Cells and Gastric Cancer -- Safety assessment of nanoprobes -- Gastric Cancer prewarning database and bioinformatics analysis.
Number of the records: 1