A clinically applicable connectivity signature for glioblastoma includes the tumor network driver CHI3L1

胶质母细胞瘤的临床适用连接特征包括肿瘤网络驱动程序 CHI3L1

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作者:Ling Hai #, Dirk C Hoffmann #, Robin J Wagener, Daniel D Azorin, David Hausmann, Ruifan Xie, Magnus-Carsten Huppertz, Julien Hiblot, Philipp Sievers, Sophie Heuer, Jakob Ito, Gina Cebulla, Alexandros Kourtesakis, Leon D Kaulen, Miriam Ratliff, Henriette Mandelbaum, Erik Jung, Ammar Jabali, Sandra Ho

Abstract

Tumor microtubes (TMs) connect glioma cells to a network with considerable relevance for tumor progression and therapy resistance. However, the determination of TM-interconnectivity in individual tumors is challenging and the impact on patient survival unresolved. Here, we establish a connectivity signature from single-cell RNA-sequenced (scRNA-Seq) xenografted primary glioblastoma (GB) cells using a dye uptake methodology, and validate it with recording of cellular calcium epochs and clinical correlations. Astrocyte-like and mesenchymal-like GB cells have the highest connectivity signature scores in scRNA-sequenced patient-derived xenografts and patient samples. In large GB cohorts, TM-network connectivity correlates with the mesenchymal subtype and dismal patient survival. CHI3L1 gene expression serves as a robust molecular marker of connectivity and functionally influences TM networks. The connectivity signature allows insights into brain tumor biology, provides a proof-of-principle that tumor cell TM-connectivity is relevant for patients' prognosis, and serves as a robust prognostic biomarker.

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