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Extracellular vesicles (EVs) are particles wrapped in a lipid bilayer membrane and are naturally released from cells. This kind of cargo vessel is a nanostructure that mainly transfers lipids, proteins, various nucleic acid fragments, and metabolic components to neighboring cells or distant parts of the body through the circulatory system. EVs are of great significance to the communication mechanism between cells. This book collects feature articles to enhance our understanding of the biological characteristics of EVs and their potential applications.

Medicine --- extracellular vesicle --- precision oncology --- cancer biomarker --- prostate cancer --- drug delivery --- extracellular vesicles --- lysosome --- nanocarriers --- ultrasound --- size exclusion chromatography --- differential ultracentrifugation --- head and neck squamous cell carcinoma (HNSCC) --- exosomes --- cancer --- biomarker --- diagnostic --- therapy --- liquid biopsy --- small extracellular vesicles (sEV) --- tumor-derived exosomes (TEX) --- melanoma cell-derived exosomes (MTEX) --- proteomics --- tumor microenvironment --- biomarkers --- ectosomes --- neoplasia --- microvesicles --- small extracellular vesicles --- isolation --- purification --- size-exclusion chromatography --- ultracentrifugation --- sucrose density cushion --- lymph node --- spleen --- solid tissue --- microvesicle --- exosome --- cancer therapeutic --- drug carrier --- flow cytometry --- immunophenotyping --- swarm detection --- tumor-associated macrophages --- macrophage polarization --- mannose receptor --- HIV-1 Nef --- glioblastoma --- microRNA --- immunoprecipitation --- CD44 --- human milk --- nutrient --- microbiota --- microRNAs --- nanocommunicator --- diagnostic biomarker --- drug delivery vehicle --- personalized cancer immunotherapy --- therapeutic agents --- cell-to-cell communication --- ionising radiation --- non-targeted effects --- signalling --- imaging flow cytometry --- biomarker reservoirs --- cancer diagnostics --- disease monitoring --- large EVs --- ovarian cancer cells --- ES-2 --- OAW-42 --- adipose tissue origin mesenchymal stem cells --- n/a

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This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.

Sestrin2 --- lung cancer --- knockdown --- cancer progression --- bioinformatics --- patient survival --- lung adenocarcinoma --- circulating miR-1246 --- glycosaminoglycan binding --- prognosis --- PI3K–Akt signaling pathways --- TargetScan --- UBE2C --- cancer systems biology --- experimental model systems --- next-generation sequencing --- single-cell sequencing --- patient-derived xenografts --- patient-derived organoids --- triple-negative breast cancer --- personalized medicine --- computational methods --- drug repurposing --- clinical trials --- cancer stem cells --- ETS --- Elk-1 --- stem cell --- microarray --- brain-tumor-initiating cell (BTIC) --- pancreatic cancer --- systems biology --- omics --- biomarker --- genomics --- transcriptomics --- proteomics --- metabolomics --- glycomics --- metagenomics --- Ets --- PEA3 --- Ets-1 --- glioma --- optical genome mapping --- solid tumors --- cancer genomics --- breast --- ovarian --- cancer --- TCGA --- non-small-cell lung cancer --- lung adenocarcinoma (LUAD) --- lung squamous cell carcinoma (LUSC) --- differential expression --- SNV --- CNV --- risk group --- signature --- survival --- renal cancers --- protein interactome --- diagnostic biomarker --- prognostic biomarker --- virtual screening --- docking --- acute myeloid leukemia --- Boolean model --- drug resistance --- network --- n/a --- PI3K-Akt signaling pathways

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.

Medicine --- Sestrin2 --- lung cancer --- knockdown --- cancer progression --- bioinformatics --- patient survival --- lung adenocarcinoma --- circulating miR-1246 --- glycosaminoglycan binding --- prognosis --- PI3K-Akt signaling pathways --- TargetScan --- UBE2C --- cancer systems biology --- experimental model systems --- next-generation sequencing --- single-cell sequencing --- patient-derived xenografts --- patient-derived organoids --- triple-negative breast cancer --- personalized medicine --- computational methods --- drug repurposing --- clinical trials --- cancer stem cells --- ETS --- Elk-1 --- stem cell --- microarray --- brain-tumor-initiating cell (BTIC) --- pancreatic cancer --- systems biology --- omics --- biomarker --- genomics --- transcriptomics --- proteomics --- metabolomics --- glycomics --- metagenomics --- Ets --- PEA3 --- Ets-1 --- glioma --- optical genome mapping --- solid tumors --- cancer genomics --- breast --- ovarian --- cancer --- TCGA --- non-small-cell lung cancer --- lung adenocarcinoma (LUAD) --- lung squamous cell carcinoma (LUSC) --- differential expression --- SNV --- CNV --- risk group --- signature --- survival --- renal cancers --- protein interactome --- diagnostic biomarker --- prognostic biomarker --- virtual screening --- docking --- acute myeloid leukemia --- Boolean model --- drug resistance --- network