ArticleBiomedical microdevices2020
Isolation and mutational assessment of pancreatic cancer extracellular vesicles using a microfluidic platform.
Article in Biomedical microdevices, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 42 citations in OpenAlex.
- Reappraising the topology of cell-free fetal DNA in maternal blood toward improved prenatal genetic diagnostics.Science advances · 2026Review
- Liquid Biopsy Differentiation of Pancreatic Cancer From Non-Cancerous Pancreatic Disease Using Dielectrophoresis-Recovered Nanoparticles Carrying Cell-Free DNA and Protein Biomarkers.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- 4D-printed microdevices for spatiotemporal detection of ctDNA and miRNA in pancreatic cancer: an in-depth review.Medical oncology (Northwood, London, England) · 2025Review
- Micropillars in Cell Mechanobiology: Design, Fabrication, Characterization, and Biosensing Applications.Small science · 2025Review
- Unravelling the Significance of Extracellular Vesicle-Associated DNA in Cancer Biology and Its Potential Clinical Applications.Journal of extracellular vesicles · 2025Review
- An overview of challenges associated with exosomal miRNA isolation toward liquid biopsy-based ovarian cancer detection.Heliyon · 2024Review
- Tumor-derived systems as novel biomedical tools-turning the enemy into an ally.Biomaterials research · 2023Review
- Assessing Breast Cancer Molecular Subtypes Using Extracellular Vesicles' mRNA.Analytical chemistry · 2023Article
- Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection.International journal of molecular sciences · 2023Article
- Droplet Detection and Sorting System in Microfluidics: A Review.Micromachines · 2022Review
- Microfluidic Strategies for Extracellular Vesicle Isolation: Towards Clinical Applications.Biosensors · 2022Review
- Multiplex Analysis of CircRNAs from Plasma Extracellular Vesicle-Enriched Samples for the Detection of Early-Stage Non-Small Cell Lung Cancer.Pharmaceutics · 2022Article
- Single extracellular vesicle analysis for early cancer detection.Trends in molecular medicine · 2022Review
- DNA in extracellular vesicles: from evolution to its current application in health and disease.Cell & bioscience · 2022Review
- Circulating Tumor DNA as a Cancer Biomarker: An Overview of Biological Features and Factors That may Impact on ctDNA Analysis.Frontiers in oncology · 2022Review
- Methylation Markers in Cutaneous Melanoma: Unravelling the Potential Utility of Their Tracking by Liquid Biopsy.Cancers · 2021Review
- Review
- Novel devices for isolation and detection of bacterial and mammalian extracellular vesicles.Mikrochimica acta · 2021Review
- Analysis of extracellular vesicle mRNA derived from plasma using the nCounter platform.Scientific reports · 2021Article
- Defining the landscape of circRNAs in non-small cell lung cancer and their potential as liquid biopsy biomarkers: a complete review including current methods.Extracellular vesicles and circulating nucleic acids · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.