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Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
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Extracellular Particles to Track Cancer Biomarkers from Tissue to Biofluids.

K T Nguyen1, J Xia2, C Chang3

  • 1William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA.

Journal of Dental Research
|December 1, 2025
PubMed
Summary
This summary is machine-generated.

Liquid biopsies using advanced technologies can track single extracellular vesicle particles (EVPs) and their cargo for cancer diagnosis. Saliva shows promise for gastric cancer detection.

Keywords:
acoustofluidic separationbiomarkersexosomesextracellular vesiclesgastric cancer (GC)miRNAsingle EVP analysistotal internal reflection fluorescence microscopy (TIRFM)

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Liquid biopsies analyzing extracellular vesicles and particles (EVPs) offer potential for cancer diagnosis.
  • Tracking single EVP cargo from pathology sites to biofluids is crucial for understanding cancer progression.

Purpose of the Study:

  • To explore Bessel beam excitation separation technology (BEST) and multiparametric biochip assay (MBA) for single EVP cargo analysis.
  • To investigate EVP cargo in biofluids for gastric cancer (GC) diagnosis using GC patients' samples.
  • To evaluate saliva and plasma as diagnostic biofluids for GC.

Main Methods:

  • Utilized BEST and MBA for high-throughput, multiparametric analysis of EVPs from plasma, saliva, and tissue.
  • Analyzed EVPs from gastric cancer patients.
  • Validated salivary biomarkers miR-140-5p and miR-301a-3p.

Main Results:

  • Demonstrated feasibility of BEST and MBA in isolating and characterizing EVPs across biofluids.
  • Observed consistent EVP morphology and size in plasma and saliva.
  • Found differential expression of miR-140-5p and miR-301a-3p in GC patient biofluids.
  • Saliva showed superior diagnostic performance for GC compared to plasma and tissue.

Conclusions:

  • BEST and MBA are effective for single-EVP analysis and understanding EVP trafficking.
  • Saliva is a promising biofluid for non-invasive gastric cancer diagnosis.
  • EVP cargo analysis holds potential for future cancer diagnostic applications.