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We developed a hydrogel bead platform to capture cell-free DNA (cfDNA) for cancer detection. This sensitive method achieves a low detection limit, offering a promising tool for disease diagnosis.

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Area of Science:

  • Biomaterials Science
  • Molecular Diagnostics
  • Cancer Research

Background:

  • Cell-free DNA (cfDNA) released from tumors is a valuable biomarker for cancer detection.
  • Existing methods for cfDNA analysis often require complex purification steps and lack sufficient sensitivity.
  • A need exists for a simplified and highly sensitive platform for cfDNA biomarker detection.

Purpose of the Study:

  • To develop a functionalized hydrogel bead platform for efficient capture of cfDNA.
  • To utilize this platform for sensitive detection of cancer-associated mutations in biological samples.
  • To establish a novel approach for early cancer diagnosis using cfDNA biomarkers.

Main Methods:

  • Fabrication of hydrogel beads with incorporated probes, magnetic nanoparticles, and oligonucleotide barcodes via photo-cross-linking in a microfluidic system.
  • Utilized C, H-insertion cross-linking (CHic) for bead generation.
  • Demonstrated detection of a specific breast cancer mutation (c.1633G>A) in MCF-7 cells using fluorescently labeled DNA in various biological matrices (PBS, serum, whole blood).
  • Employed polymerase chain reaction (PCR) for amplification of captured cfDNA sequences.

Main Results:

  • Successfully developed hydrogel beads with covalently incorporated probes (HBP) for cfDNA capture.
  • Demonstrated the detection of a target mutation sequence in phosphate-buffered saline, serum, and whole blood.
  • Achieved a highly sensitive detection limit as low as 0.36 ng mL⁻¹, surpassing existing literature values.
  • Showcased direct PCR amplification from captured DNA on beads, eliminating purification steps.

Conclusions:

  • The functionalized hydrogel bead platform offers a sensitive and simplified approach for cfDNA detection.
  • This technology holds significant promise for non-invasive cancer diagnosis and monitoring.
  • The platform's versatility and high sensitivity suggest potential applications in diagnosing various diseases.