Abstract 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. Citation Format: Daniel Azorín. Screening for tumor microtube-targeting drugs identifies PKC modulators as multipotent inhibitors of glioblastoma progression abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts) ; 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86 (8Suppl): Abstract nr NG03.
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Cancer Research
ETH Zurich
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Daniel Azorín (Fri,) studied this question.