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Rhoj Is a Novel Target for Progression and Invasion of Glioblastoma by Impairing Cytoskeleton Dynamics.

ABSTRACT: Rho GTPase family members were identified as critical regulators of cell morphology, actin cytoskeleton organization, cell movement, and cell cycle and also contributed to tumor progression, which have been implicated in various types of cancer metastasis and growth. Here, we firstly reported the dysregulation of Rhoj in glioblastoma multiforme (GBM) and aimed to investigate the role and mechanism of Rhoj in GBM. We analyzed the expression of 21 Rho GTPases family members and validated the expression of Rhoj in GBM by immunohistochemistry. We further investigated the role and mechanism of Rhoj in GBM both in vitro and in vivo. We observed that Rhoj is significantly overexpressed in GBM and associated with patients' survival. However, the role and underlying molecular mechanism of Rhoj in GBM are still unclear. We demonstrated that transcription factor c-Jun regulated the expression of Rhoj, and Rhoj interacted with moesin to promote GBM cell proliferation and migration by potentiating the activation of Rac1/PAK pathway and cytoskeletal dynamics. Rhoj may promote migration and invasion of GBM cells by regulating epithelial-mesenchymal transition (EMT)-like process. In conclusion, the Rhoj/Rac1/PAK signaling mediates invasion and progression of GBM and is a potential therapeutic target for GBM treatment. Rhoj may also be a promising biomarker for GBM diagnosis and prognosis.

SUBMITTER: Wang M

PROVIDER: S-EPMC7851251 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Tumor progression modeling offers the potential to predict tumor-spreading behavior to improve prognostic accuracy and guide therapy development. Common simulation methods include continuous reaction-diffusion (RD) approaches that capture mean spatio-temporal tumor spreading behavior and discrete agent-based (AB) approaches which capture individual cell events such as proliferation or migration. The brain cancer glioblastoma (GBM) is especially appropriate for such proliferation-migration modeling approaches because tumor cells seldom metastasize outside of the central nervous system and cells are both highly proliferative and migratory. In glioblastoma research, current RD estimates of proliferation and migration parameters are derived from computed tomography or magnetic resonance images. However, these estimates of glioblastoma cell migration rates, modeled as a diffusion coefficient, are approximately 1-2 orders of magnitude larger than single-cell measurements in animal models of this disease. To identify possible sources for this discrepancy, we evaluated the fundamental RD simulation assumptions that cells are point-like structures that can overlap. To give cells physical size (~10 μm), we used a Brownian dynamics approach that simulates individual single-cell diffusive migration, growth, and proliferation activity via a gridless, off-lattice, AB method where cells can be prohibited from overlapping each other. We found that for realistic single-cell parameter growth and migration rates, a non-overlapping model gives rise to a jammed configuration in the center of the tumor and a biased outward diffusion of cells in the tumor periphery, creating a quasi-ballistic advancing tumor front. The simulations demonstrate that a fast-progressing tumor can result from minimally diffusive cells, but at a rate that is still dependent on single-cell diffusive migration rates. Thus, modeling with the assumption of physically-grounded volume conservation can account for the apparent discrepancy between estimated and measured diffusion of GBM cells and provide a new theoretical framework that naturally links single-cell growth and migration dynamics to tumor-level progression.

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Rhoj Is a Novel Target for Progression and Invasion of Glioblastoma by Impairing Cytoskeleton Dynamics.

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