2025/10/09 by Daniel Domínguez Azorín, Dirk C. Hoffmann, Nils Hebach +27 · 2 voices
Biochemistry, Genetics and Molecular Biology · Medicine · Neuroscience · #Microtubule and mitosis dynamics #Glioma Diagnosis and Treatment #Neurogenesis and neuroplasticity mechanisms
paper · doi:10.1158/2159-8290.cd-24-0414
Glioblastomas are incurable primary brain tumors that depend on neural-like cellular processes, tumor microtubes (TM), to invade the brain. TMs also interconnect single tumor cells to a communicating multicellular network that resists current therapies. In this study, we developed a combined, comprehensive in vitro/in vivo anti-TM drug screening approach, including machine learning-based analysis tools. Two protein kinase C (PKC) modulators robustly inhibited TM formation and pacemaker tumor cell-driven, TM-mediated glioblastoma cell network communication. As TM-unconnected tumor cells exhibited increased sensitivity to cytotoxic therapy, the PKC activator TPPB was combined with radiotherapy, and long-term intravital two-photon microscopy paired with spatially resolved multiomics revealed anti-TM and antitumor effects. TPPB treatment also decreased the expression of tweety family member 1 (TTYH1), a key driver of invasive TMs. Our study establishes a novel screening pipeline for anti-TM drug development, identifies a TM master regulator pathway, and supports the approach of TM targeting for efficient brain tumor therapies. SIGNIFICANCE: Cancers can hijack neural properties to grow, disseminate, and to resist therapies, but effective drug development pipelines against these features are missing. Here, we establish a compound screening approach that allowed the identification of PKC modulators that target cancer cell-intrinsic neurodevelopmental mechanisms, suggesting a new class of neuroscience-instructed cancer therapeutics.