High-Throughput, Time-Resolved Mechanical Phenotyping of Prostate Cancer Cells

Area of Science:

• Biomedical Engineering
• Cellular Mechanics
• Cancer Diagnostics

Background:

• Prostate cancer is a leading diagnosed cancer in men globally.
• Current diagnostic methods lack precision, leading to false positives and unnecessary surgeries.
• There is a critical need for improved early diagnostic tools for prostate cancer.

Purpose of the Study:

• To introduce a novel microfluidic platform for high-throughput cell analysis.
• To investigate the dynamic mechanical properties of cells under stress.
• To develop a method for discriminating between healthy and cancerous prostate cells.

Main Methods:

• Utilized the Time-Resolved Hydrodynamic Stretcher (TR-HS) for cell analysis.
• Integrated high-speed imaging and computer vision for cell tracking and classification.
• Employed finite element method (FEM) modeling to analyze cell deformation forces.
• Used a decision tree classifier for cell group categorization based on time-resolved roundness.

Main Results:

• Successfully discriminated between healthy and cancerous prostate cell lines based on mechanical responses.
• Characterized the forces causing cell deformation using FEM.
• Achieved classification of cell groups using time-resolved roundness data.

Conclusions:

• The TR-HS platform enables high-throughput assessment of cellular mechanical properties.
• This technology shows potential for developing innovative and precise diagnostic devices for prostate cancer.
• The study highlights the utility of mechanical profiling for cell classification.