Literature DB >> 32162067

Isolation and mutational assessment of pancreatic cancer extracellular vesicles using a microfluidic platform.

Nabiollah Kamyabi1,2,3, Reza Abbasgholizadeh4,5, Anirban Maitra6,4, Arezoo Ardekani7, Sibani L Biswal8, K Jane Grande-Allen9.   

Abstract

Cancer cells release extracellular vesicles known as extracellular vesicles (EVs), containing tumor-derived DNA, RNA and proteins within their cargo, into the circulation. Circulating tumor-derived extracellular vesicles (TEV) can be used in the context of serial "liquid biopsies" for early detection of cancer, for monitoring disease burden in patients, and for assessing recurrence in the post-resection setting. Nonetheless, isolating sufficient TEV by ultracentrifugation-based approaches, in order to enable molecular assessment of EVs cargo, can be an arduous, time-consuming process and is inconsistent in the context of yield and purity among institutions. Herein, we describe a microfluidic platform, which we have named MITEV (Microfluidic Isolation of Tumor-derived Extracellular Vesicles) for the rapid isolation of TEV from the plasma of pancreatic cancer patients. The device, which has ~100,000 pillars placed in a zigzag pattern and is coated with antibodies against generic EV surface proteins (anti-CD63, -CD9, and -CD81 antibodies) or the TEV specific anti-Epithelial Cell Adhesion Molecule (EpCAM) antibody, is capable of high-throughput EVs isolation and yields sufficient DNA (total of ~2-14 ng from 2-ml plasma) for downstream genomic analysis. Using two independent quantitative platforms, droplet digital polymerase chain reaction (ddPCR) and molecular barcoding using nanoString nCounter® technology, we can reliably identify KRAS mutations within isolated TEV of treatment-naïve metastatic pancreatic cancer patients. Our study suggests that the MITEV device can be used for point-of-care applications, such as in the context of monitoring residual or recurrent tumor presence in pancreatic cancer patients undergoing therapy.

Entities:  

Keywords:  Extracellular vesicles; Microfluidics; Pancreatic cancer; ddPCR

Year:  2020        PMID: 32162067     DOI: 10.1007/s10544-020-00483-7

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  9 in total

Review 1.  Single extracellular vesicle analysis for early cancer detection.

Authors:  Scott Ferguson; Katherine S Yang; Ralph Weissleder
Journal:  Trends Mol Med       Date:  2022-05-24       Impact factor: 15.272

Review 2.  Novel devices for isolation and detection of bacterial and mammalian extracellular vesicles.

Authors:  Shiana Malhotra; Zarinah M Amin; Garima Dobhal; Sophie Cottam; Thomas Nann; Renee V Goreham
Journal:  Mikrochim Acta       Date:  2021-03-26       Impact factor: 5.833

Review 3.  Bioactive DNA from extracellular vesicles and particles.

Authors:  Ethan Z Malkin; Scott V Bratman
Journal:  Cell Death Dis       Date:  2020-07-27       Impact factor: 8.469

4.  Analysis of extracellular vesicle mRNA derived from plasma using the nCounter platform.

Authors:  Jillian W P Bracht; Ana Gimenez-Capitan; Chung-Ying Huang; Nicolas Potie; Carlos Pedraz-Valdunciel; Sarah Warren; Rafael Rosell; Miguel A Molina-Vila
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

Review 5.  Next-Generation Cancer Biomarkers: Extracellular Vesicle DNA as a Circulating Surrogate of Tumor DNA.

Authors:  Samuel Amintas; Véronique Vendrely; Charles Dupin; Louis Buscail; Christophe Laurent; Barbara Bournet; Jean-Philippe Merlio; Aurélie Bedel; François Moreau-Gaudry; Julian Boutin; Sandrine Dabernat; Etienne Buscail
Journal:  Front Cell Dev Biol       Date:  2021-02-02

Review 6.  Extracellular Vesicles in Rheumatoid Arthritis and Systemic Lupus Erythematosus: Functions and Applications.

Authors:  Bo Zhang; Ming Zhao; Qianjin Lu
Journal:  Front Immunol       Date:  2021-01-14       Impact factor: 7.561

Review 7.  DNA in extracellular vesicles: from evolution to its current application in health and disease.

Authors:  Jamal Ghanam; Venkatesh Kumar Chetty; Lennart Barthel; Dirk Reinhardt; Peter-Friedrich Hoyer; Basant Kumar Thakur
Journal:  Cell Biosci       Date:  2022-03-28       Impact factor: 7.133

Review 8.  Circulating Tumor DNA as a Cancer Biomarker: An Overview of Biological Features and Factors That may Impact on ctDNA Analysis.

Authors:  Estela Sánchez-Herrero; Roberto Serna-Blasco; Lucia Robado de Lope; Víctor González-Rumayor; Atocha Romero; Mariano Provencio
Journal:  Front Oncol       Date:  2022-07-20       Impact factor: 5.738

Review 9.  Methylation Markers in Cutaneous Melanoma: Unravelling the Potential Utility of Their Tracking by Liquid Biopsy.

Authors:  Valentina Aleotti; Cristina Catoni; Cristina Poggiana; Antonio Rosato; Antonella Facchinetti; Maria Chiara Scaini
Journal:  Cancers (Basel)       Date:  2021-12-10       Impact factor: 6.639

  9 in total

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