Fr567 BACTERIA-DERIVED EXTRACELLULAR VESICLES IN URINE AS A NOVEL BIOMARKER FOR GASTRIC CANCER: INTEGRATION OF LIQUID BIOPSY AND METAGENOME ANALYSIS

2021 ◽  
Vol 160 (6) ◽  
pp. S-366
Author(s):  
Jae Yong Park ◽  
Jae G. Kim ◽  
Tae-Seop Shin ◽  
Yoon-Keun Kim
Keyword(s):  
Gastric Cancer ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Metagenome Analysis

scholarly journals Bacteria-Derived Extracellular Vesicles in Urine as a Novel Biomarker for Gastric Cancer: Integration of Liquid Biopsy and Metagenome Analysis

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4687
Author(s):  
Jae-Yong Park ◽  
Chil-Sung Kang ◽  
Ho-Chan Seo ◽  
Jin-Chul Shin ◽  
Sung-Min Kym ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Prediction Models ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Metagenome Analysis ◽  
Non Invasive ◽  
Genus Level ◽  
Relative Abundances

Early detection is crucial for improving the prognosis of gastric cancer, but there are no non-invasive markers for the early diagnosis of gastric cancer in real clinical settings. Recently, bacteria-derived extracellular vesicles (EVs) emerged as new biomarker resources. We aimed to evaluate the microbial composition in gastric cancer using bacteria-derived EVs and to build a diagnostic prediction model for gastric cancer with the metagenome data. Stool, urine, and serum samples were prospectively collected from 453 subjects (gastric cancer, 181; control, 272). EV portions were extracted from the samples for metagenome analysis. Differences in microbial diversity and composition were analyzed with 16S rRNA gene profiling, using the next-generation sequencing method. Biomarkers were selected using logistic regression models based on relative abundances at the genus level. The microbial composition of healthy groups and gastric cancer patient groups was significantly different in all sample types. The compositional differences of various bacteria, based on relative abundances, were identified at the genus level. Among the diagnostic prediction models for gastric cancer, the urine-based model showed the highest performance when compared to that of stool or serum. We suggest that bacteria-derived EVs in urine can be used as novel metagenomic markers for the non-invasive diagnosis of gastric cancer by integrating the liquid biopsy method and metagenome analysis.

scholarly journals Single Step In Situ Detection of Surface Protein and MicroRNA in Clustered Extracellular Vesicles Using Flow Cytometry

2021 ◽  
Vol 10 (2) ◽  
pp. 319
Author(s):  
Hee Cheol Yang ◽  
Won Jong Rhee
Keyword(s):  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Molecular Beacon ◽  
Disease Diagnosis ◽  
Single Step ◽  
Flow Cytometer ◽  
Surface Proteins ◽  
Biomarker Detection ◽  
In Situ Detection

Because cancers are heterogeneous, it is evident that multiplexed detection is required to achieve disease diagnosis with high accuracy and specificity. Extracellular vesicles (EVs) have been a subject of great interest as sources of novel biomarkers for cancer liquid biopsy. However, EVs are nano-sized particles that are difficult to handle; thus, it is necessary to develop a method that enables efficient and straightforward EV biomarker detection. In the present study, we developed a method for single step in situ detection of EV surface proteins and inner miRNAs simultaneously using a flow cytometer. CD63 antibody and molecular beacon-21 were investigated for multiplexed biomarker detection in normal and cancer EVs. A phospholipid-polymer-phospholipid conjugate was introduced to induce clustering of the EVs analyzed using nanoparticle tracking analysis, which enhanced the detection signals. As a result, the method could detect and distinguish cancer cell-derived EVs using a flow cytometer. Thus, single step in situ detection of multiple EV biomarkers using a flow cytometer can be applied as a simple, labor- and time-saving, non-invasive liquid biopsy for the diagnosis of various diseases, including cancer.

scholarly journals Helicobacter pylori Outer Membrane Vesicles and Extracellular Vesicles from Helicobacter pylori-Infected Cells in Gastric Disease Development

2021 ◽  
Vol 22 (9) ◽  
pp. 4823
Author(s):  
María Fernanda González ◽  
Paula Díaz ◽  
Alejandra Sandoval-Bórquez ◽  
Daniela Herrera ◽  
Andrew F. G. Quest
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
Outer Membrane ◽  
Extracellular Vesicles ◽  
Membrane Vesicles ◽  
Outer Membrane Vesicles ◽  
Host Cells ◽  
Gastric Epithelium ◽  
Infected Cells ◽  
H Pylori

Extracellular vesicles (EVs) are cell-derived vesicles important in intercellular communication that play an essential role in host-pathogen interactions, spreading pathogen-derived as well as host-derived molecules during infection. Pathogens can induce changes in the composition of EVs derived from the infected cells and use them to manipulate their microenvironment and, for instance, modulate innate and adaptive inflammatory immune responses, both in a stimulatory or suppressive manner. Gastric cancer is one of the leading causes of cancer-related deaths worldwide and infection with Helicobacter pylori (H. pylori) is considered the main risk factor for developing this disease, which is characterized by a strong inflammatory component. EVs released by host cells infected with H. pylori contribute significantly to inflammation, and in doing so promote the development of disease. Additionally, H. pylori liberates vesicles, called outer membrane vesicles (H. pylori-OMVs), which contribute to atrophia and cell transformation in the gastric epithelium. In this review, the participation of both EVs from cells infected with H. pylori and H. pylori-OMVs associated with the development of gastric cancer will be discussed. By deciphering which functions of these external vesicles during H. pylori infection benefit the host or the pathogen, novel treatment strategies may become available to prevent disease.

Cancer stem cell marker DCLK1 reprograms small extracellular vesicles toward migratory phenotype in gastric cancer cells

PROTEOMICS ◽  
2021 ◽  
pp. 2000098
Author(s):  
Annalisa L.E. Carli ◽  
Shoukat Afshar‐Sterle ◽  
Alin Rai ◽  
Haoyun Fang ◽  
Ryan O'Keefe ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Stem Cell Marker ◽  
Cancer Stem Cell Marker ◽  
Cell Marker ◽  
Gastric Cancer Cells ◽  
Migratory Phenotype

scholarly journals A multiparametric extraction method for Vn96-isolated plasma extracellular vesicles and cell-free DNA that enables multi-omic profiling

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeremy W. Roy ◽  
Catherine A. Taylor ◽  
Annie P. Beauregard ◽  
Surendar R. Dhadi ◽  
D. Craig Ayre ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Small Rna Sequencing ◽  
Isolation Method ◽  
Protein Biomarkers ◽  
Cell Free Dna ◽  
Extraction Protocol ◽  
Free Dna ◽  
Rich Material ◽  
Short Timeframe

AbstractExtracellular vesicles (EVs) have been recognized as a rich material for the analysis of DNA, RNA, and protein biomarkers. A remaining challenge for the deployment of EV-based diagnostic and prognostic assays in liquid biopsy testing is the development of an EV isolation method that is amenable to a clinical diagnostic lab setting and is compatible with multiple types of biomarker analyses. We have previously designed a synthetic peptide, known as Vn96 (ME kit), which efficiently isolates EVs from multiple biofluids in a short timeframe without the use of specialized lab equipment. Moreover, it has recently been shown that Vn96 also facilitates the co-isolation of cell-free DNA (cfDNA) along with EVs. Herein we describe an optimized method for Vn96 affinity-based EV and cfDNA isolation from plasma samples and have developed a multiparametric extraction protocol for the sequential isolation of DNA, RNA, and protein from the same plasma EV and cfDNA sample. We are able to isolate sufficient material by the multiparametric extraction protocol for use in downstream analyses, including ddPCR (DNA) and ‘omic profiling by both small RNA sequencing (RNA) and mass spectrometry (protein), from a minimum volume (4 mL) of plasma. This multiparametric extraction protocol should improve the ability to analyse multiple biomarker materials (DNA, RNA and protein) from the same limited starting material, which may improve the sensitivity and specificity of liquid biopsy tests that exploit EV-based and cfDNA biomarkers for disease detection and monitoring.

scholarly journals Peptide-Affinity Precipitation of Extracellular Vesicles and Cell-Free DNA Improves Sequencing Performance for the Detection of Pathogenic Mutations in Lung Cancer Patient Plasma

2020 ◽  
Vol 21 (23) ◽  
pp. 9083
Author(s):  
Catherine Taylor ◽  
Simi Chacko ◽  
Michelle Davey ◽  
Jacynthe Lacroix ◽  
Alexander MacPherson ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Nsclc Patient ◽  
Egfr Mutations ◽  
Single Nucleotide Variants ◽  
Cell Free Dna ◽  
Free Dna ◽  
Nsclc Patients ◽  
Peptide Affinity

Liquid biopsy is a minimally-invasive diagnostic method that may improve access to molecular profiling for non-small cell lung cancer (NSCLC) patients. Although cell-free DNA (cf-DNA) isolation from plasma is the standard liquid biopsy method for detecting DNA mutations in cancer patients, the sensitivity can be highly variable. Vn96 is a peptide with an affinity for both extracellular vesicles (EVs) and circulating cf-DNA. In this study, we evaluated whether peptide-affinity (PA) precipitation of EVs and cf-DNA from NSCLC patient plasma improves the sensitivity of single nucleotide variants (SNVs) detection and compared observed SNVs with those reported in the matched tissue biopsy. NSCLC patient plasma was subjected to either PA precipitation or cell-free methods and total nucleic acid (TNA) was extracted; SNVs were then detected by next-generation sequencing (NGS). PA led to increased recovery of DNA as well as an improvement in NGS sequencing parameters when compared to cf-TNA. Reduced concordance with tissue was observed in PA-TNA (62%) compared to cf-TNA (81%), mainly due to identification of SNVs in PA-TNA that were not observed in tissue. EGFR mutations were detected in PA-TNA with 83% sensitivity and 100% specificity. In conclusion, PA-TNA may improve the detection limits of low-abundance alleles using NGS.

Separation of distinct exosome subpopulations: isolation and characterization approaches and their associated challenges

The Analyst ◽  
2021 ◽  
Author(s):  
Karishma Singh ◽  
Ruchika Nalabotala ◽  
Kevin M. Koo ◽  
Sudeep Bose ◽  
Ranu Nayak ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Therapeutic Use ◽  
Isolation And Characterization ◽  
Communications System

Exosomes are nano-sized extracellular vesicles that serve as a communications system between cells and has shown tremendous promise as liquid biopsy biomarkers in diagnostic, prognostic, and even therapeutic use in...

Protein biomarkers in breast cancer-derived extracellular vesicles for use in liquid biopsies

2021 ◽  
Author(s):  
Dan Li ◽  
Wenjia Lai ◽  
Di Fan ◽  
Qiaojun Fang
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Breast Cancer Diagnosis ◽  
Extracellular Vesicle ◽  
Detection Methods ◽  
Protein Markers ◽  
Liquid Biopsies ◽  
Diagnosis And Prognosis

Breast cancer is the most common malignant disease in women worldwide. Early diagnosis and treatment can greatly improve the management of breast cancer. Liquid biopsies are becoming convenient detection methods for diagnosing and monitoring breast cancer due to their non-invasiveness and ability to provide real-time feedback. A range of liquid biopsy markers, including circulating tumor proteins, circulating tumor cells, and circulating tumor nucleic acids, have been implemented for breast cancer diagnosis and prognosis, with each having its own advantages and limitations. Circulating extracellular vesicles are messengers of intercellular communication that are packed with information from mother cells and are found in a wide variety of bodily fluids; thus, they are emerging as ideal candidates for liquid biopsy biomarkers. In this review, we summarize extracellular vesicle protein markers that can be potentially used for the early diagnosis and prognosis of breast cancer or determining its specific subtypes.

scholarly journals Enhanced recovery of CD9-positive extracellular vesicles from human specimens by chelating reagent

2020 ◽  
Author(s):  
Ayako Kurimoto ◽  
Yuki Kawasaki ◽  
Toshiki Ueda ◽  
Tatsutoshi Inuzuka
Keyword(s):  
Extracellular Vesicles ◽  
Western Blotting ◽  
Biological Samples ◽  
Liquid Biopsy ◽  
Enhanced Recovery ◽  
Recovery Efficiency ◽  
Early Diagnostics ◽  
Isolation Methods ◽  
Chelating Reagent

AbstractExtracellular vesicles (EVs) have gained attention as potential targets of early diagnostics and prognosis in the field of liquid biopsy. Despite clinical potentials, the best method to isolate EVs from specimens remains controversial due to low purity, low specificity, and lack of reproducibility with current isolation methods. Here we show that a chelating reagent enhances the recovery efficiency of EVs from crude biological samples by immunoprecipitation using an anti-CD9 antibody. Proteomic and western blotting analyses show that the EVs isolated using the chelating reagent contain a wider variety of proteins than those isolated with PBS.

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