Cell migration simulator-based biomarkers for glioblastoma.

ABSTRACT:

Background

Glioblastoma is the most aggressive malignant brain tumor with poor survival due to its invasive nature driven by cell migration, with unclear linkage to transcriptomic information. The aim of this study was to develop a physics-based framework connecting to transcriptomics to predict patient-specific glioblastoma cell migration.

Methods and results

We applied a physics-based motor-clutch model, a cell migration simulator (CMS), to parameterize the migration of glioblastoma cells and define physical biomarkers on a patient-by-patient basis. We reduced the 11-dimensional parameter space of the CMS into 3 principal physical parameters that govern cell migration: motor number-describing myosin II activity, clutch number-describing adhesion level, and F-actin polymeri

SUBMITTER: Hou J 

PROVIDER: S-EPMC11600334 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature