Introduction
Glioblastoma is the most aggressive brain tumor. The main reason for its lethality is the tumor's broad invasion into brain tissue, which is influenced by tumor cell mechanics. Successful invasion necessitates dynamic cytoskeletal remodeling, altered cell adhesion, and interaction with neural structures. We hypothesized that previously defined, focused panels of mechanobiological markers capturing these functions would elucidate key drivers of glioblastoma invasiveness.
Materials and Methods
mRNA expression data were obtained from cBioPortal (TCGA, PanCancer Atlas) for 592 primary glioblastoma and 514 low-grade gliomas samples. We assessed 11 genes related to actin dynamics, cell movement, adhesion, and mechanotransduction: ACTN4, PFN1, CFL1, FSCN1, ANXA2, ANXA6, MYH9, GSN, TAGLN, ECM1, and EZR. Differential expressions between glioblastoma and low-grade glioma were assessed using the non-parametric Mann–Whitney U-test. The diagnostic power of individual genes and the composite panel score was measured using the Area Under the ROC Curve (AUC).
Results
Glioblastoma demonstrated significant dysregulation of 4 out of 11 mechanobiological genes compared to low-grade gliomas (p < 0.01): FCN1 (immune mediator, ECM), TAGLN (actin-binding protein, contractility), ACTN4 (actin crosslinking, migration), and MYH9 (non-muscle myosin II, tension generation). The composite score of the panel showed a connection to tumor grade (AUC=0.67), while the score from 4 dysregulated genes was notably better (AUC=0.73). ACTN4 emerged as the top diagnostic biomarker (AUC=0.83) in the single-gene analysis, which points to the significance of actin cytoskeleton regulation in brain invasion.
Conclusions
The four-gene mechanobiological signature effectively embodies the vital traits associated with glioma aggressiveness. ACTN4 has emerged as a promising master diagnostic biomarker and a potential key molecular driver behind local invasion in glioblastoma. To establish its significance, validating its function in vitro and in vivo glioblastoma invasion models is crucial.
