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Open AccessJournal ArticleDOI

Glypican-1 identifies cancer exosomes and detects early pancreatic cancer

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TLDR
GPC1+ crExos may serve as a potential non-invasive diagnostic and screening tool to detect early stages of pancreatic cancer to facilitate possible curative surgical therapy.
Abstract
Exosomes are lipid-bilayer-enclosed extracellular vesicles that contain proteins and nucleic acids. They are secreted by all cells and circulate in the blood. Specific detection and isolation of cancer-cell-derived exosomes in the circulation is currently lacking. Using mass spectrometry analyses, we identify a cell surface proteoglycan, glypican-1 (GPC1), specifically enriched on cancer-cell-derived exosomes. GPC1(+) circulating exosomes (crExos) were monitored and isolated using flow cytometry from the serum of patients and mice with cancer. GPC1(+) crExos were detected in the serum of patients with pancreatic cancer with absolute specificity and sensitivity, distinguishing healthy subjects and patients with a benign pancreatic disease from patients with early- and late-stage pancreatic cancer. Levels of GPC1(+) crExos correlate with tumour burden and the survival of pre- and post-surgical patients. GPC1(+) crExos from patients and from mice with spontaneous pancreatic tumours carry specific KRAS mutations, and reliably detect pancreatic intraepithelial lesions in mice despite negative signals by magnetic resonance imaging. GPC1(+) crExos may serve as a potential non-invasive diagnostic and screening tool to detect early stages of pancreatic cancer to facilitate possible curative surgical therapy.

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Emerging role of exosomes as biomarkers in cancer treatment and diagnosis

TL;DR: An overview of recent advances in the research of exosomal biomarkers and their applications in cancer diagnosis and treatment has been provided in this article , where the advantages and challenges of using exosomes as liquid biopsy targets are discussed and the clinical implications of using Exosomal miRNAs have been revealed.
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General Approach to Engineering Extracellular Vesicles for Biomedical Analysis.

TL;DR: A general, facile, and robust approach to engineering EVs by installation of maleimide moieties onto EV surfaces based on a hydrophobic insertion strategy is proposed, which would greatly facilitate the applications of EVs in both basic studies and clinical uses.
Journal ArticleDOI

Exosomes and their implications in central nervous system tumor biology

TL;DR: The secretion of exosomes associated with glioblastoma is focused on, as most exosome studies on brain tumors have been performed in this tumor type, however, exosomers secreted from other forms of brain tumors for comparison as available are included.
Journal ArticleDOI

Human Platelet Membrane Functionalized Microchips with Plasmonic Codes for Cancer Detection

TL;DR: A microfluidic platform capable of detecting cancer‐derived extracellular vesicles (EVs) from ultrasmall volumes (1 µL) of human plasma samples and can capture a significantly higher number of EVs from multiple types of cancer cell lines than the normal cell‐derived EVs.
Journal ArticleDOI

Single-cell analysis of CTCs with diagnostic precision: opportunities and challenges for personalized medicine

TL;DR: Implementation of multiple technologies for enrichment, isolation as well as molecular and functional analysis of circulating tumor cells in standardized and automated workflows in clinical diagnostics could provide valuable information for real-time monitoring of cancer and eventually new therapeutic strategies for the benefit of patients.
References
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Journal ArticleDOI

Analysis of relative gene expression data using real-time quantitative pcr and the 2(-delta delta c(t)) method

TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.
Journal ArticleDOI

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

TL;DR: A nonparametric approach to the analysis of areas under correlated ROC curves is presented, by using the theory on generalized U-statistics to generate an estimated covariance matrix.
Book

Pancreatic Cancer

Journal ArticleDOI

Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids

TL;DR: This unit describes different approaches for exosome purification from various sources, and discusses methods to evaluate the purity and homogeneity of the purified exosomes preparations.
Journal ArticleDOI

Exosomes: composition, biogenesis and function

TL;DR: The physical properties that define exosomes as a specific population of secreted vesicles are described, their biological effects, particularly on the immune system, are summarized, and the potential roles that secretedvesicles could have as intercellular messengers are discussed.
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