Immunomagnetic Isolation of HER2-Positive Breast Cancer Cells Using a Microfluidic Device.

Area of Science:

• Biomedical Engineering
• Nanotechnology
• Cancer Research

Background:

• Circulating tumor cells (CTCs) are crucial biomarkers for monitoring metastatic cancers, enabling early diagnosis and prognosis evaluation for personalized cancer treatment.
• Effective, feasible, and low-cost methods for CTC isolation are vital for advancing clinical applications.
• HER2-positive breast cancer requires specific detection and isolation strategies.

Purpose of the Study:

• To develop and validate an integrated microfluidic system utilizing magnetic nanoparticles (MNPs) for the efficient isolation of HER2-positive breast cancer cells.
• To assess the performance of the developed system in terms of isolation efficiency, specificity, and speed compared to existing methods.
• To provide a competitive and clinically applicable solution for CTC isolation.

Main Methods:

• Synthesis and characterization of iron oxide MNPs functionalized with anti-HER2 antibodies.
• Verification of chemical conjugation using Fourier transform infrared spectroscopy, energy-dispersive X-ray spectroscopy, and dynamic light scattering/zeta potential analysis.
• Demonstration of specific HER2-positive cell isolation using a microfluidic chip with an S-shaped microchannel in both off-chip and on-chip settings.

Main Results:

• Off-chip isolation efficiency of HER2-positive cells was 59.38%.
• On-chip isolation efficiency using the microfluidic chip reached 96% for SK-BR-3 cells at a flow rate of 0.5 mL/h, without chip clogging.
• On-chip cell separation time was reduced by 50% compared to conventional methods.

Conclusions:

• The integrated microfluidic system with anti-HER2 functionalized MNPs demonstrates high efficiency and specificity for isolating HER2-positive breast cancer cells.
• This approach offers a significant improvement over existing methods, providing a faster and clog-free solution for CTC analysis.
• The developed system presents a competitive and promising tool for clinical applications in personalized cancer diagnostics and treatment monitoring.