[C11] Biophysics

[C11-01] Mathematical modeling of glioma cell migration and deformation dependent on adhesion state to extracellular matrix

*Haruna Tagawa¹, Daisuke Kanematsu², Asako Katsuma², Kanemura Yonehiro², Naoki Inagaki¹, Yuichi Sakumura¹ (1. Department of Science and Technology, Nara Institute of Science and Technology (Japan), 2. National Hospital Organization Osaka National Hospital (Japan))

Keywords:

Glioblastoma,Mathematical model,Cell migration,Cell adhesion,Cell protrusion

Glioblastoma is the most common and most lethal primary brain tumor in adults. The cells have high motility and spread in the brain, making complete surgical resection difficult. In the treatment, suppressing cell migration is important and requires understanding the mechanism of cell migration. Glioblastoma cells frequently form and lose protrusions, the tips of which adhere to and detach from the extracellular matrix. However, it remains unclear how adhesion to the extracellular matrix affects the protrusion features and how the protrusion features affect cell migration. Understanding this relationship involving physical processes requires mathematical models accounting for physical factors. In this study, we have analyzed the cell images and constructed a quantitative mathematical model of cell motility with protrusions to investigate how different adhesion to the extracellular matrix affects cell motility (deformation and migration). First, we analyzed cell images under multiple conditions with 2types of extracellular matrices (laminin or fibronectin) and cell lines. Comprehensive quantification of cell migration and protrusion features from time-lapse images revealed that these features differ significantly depending on the conditions. The analysis using our mathematical model suggests that the changes in protrusion characteristics can contribute to the condition-dependent migration differences. We are estimating the model parameters based on the quantified data from the image analysis to reproduce the cell motility differences. Based on these results, we will investigate the details of the mechanism that causes the differences in cell morphology and migration.