Design of Fiber Networks for Studying Metastatic Invasion

Area of Science:

• Biophysics
• Cancer Biology
• Materials Science

Background:

• Cancer metastasis is a major cause of cancer mortality.
• The extracellular matrix (ECM) plays a critical role in cancer cell invasion.
• Specific features of the fibrous ECM, such as fiber size, orientation, and organization, influence cancer cell behavior, but their exact contributions are not fully understood.

Purpose of the Study:

• To investigate the quantitative effects of controlled fiber dimensions, orientation, and hierarchy on cancer cell behavior.
• To develop a biophysical model of cancer cell invasion along aligned fibers.
• To explore novel methods for probing cancer cell protrusion and migration.

Main Methods:

• Utilized the Spinneret based Tunable Engineered Parameters (STEP) fiber platform to create engineered ECM environments with controlled fiber geometry.
• Quantitatively analyzed cancer cell behavior, including invasion modes (single, chain, collective), in response to varying fiber features.
• Developed a biophysical model of invasion along aligned fibers.
• Employed a mismatch of fiber diameters to study single protrusion formation and cell migration.

Main Results:

• Demonstrated that controlled fiber geometry and network architecture significantly impact cancer cell invasion.
• Presented a biophysical model describing cancer cell invasion dynamics along aligned fibers.
• Introduced a novel method to analyze single cell protrusions and migratory behaviors in response to engineered fiber environments.
• Showcased the STEP platform's capability to mimic native ECM features for studying cancer cell migration.

Conclusions:

• The STEP platform provides a powerful tool for dissecting the fundamental biophysical mechanisms of cancer cell migration during metastasis.
• Understanding the interplay between fiber geometry and cancer cell behavior is crucial for developing targeted anti-metastatic therapies.
• This research opens new avenues for interrogating cell migration in complex, biomimetic environments.