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

Author:

Hai LingORCID,Hoffmann Dirk C.ORCID,Wagener Robin J.,Azorin Daniel D.,Hausmann David,Xie Ruifan,Huppertz Magnus-Carsten,Hiblot JulienORCID,Sievers PhilippORCID,Heuer Sophie,Ito Jakob,Cebulla Gina,Kourtesakis Alexandros,Kaulen Leon D.,Ratliff MiriamORCID,Mandelbaum Henriette,Jung Erik,Jabali Ammar,Horschitz Sandra,Ernst Kati J.ORCID,Reibold Denise,Warnken Uwe,Venkataramani Varun,Will RainerORCID,Suvà Mario L.ORCID,Herold-Mende Christel,Sahm FelixORCID,Winkler FrankORCID,Schlesner MatthiasORCID,Wick WolfgangORCID,Kessler TobiasORCID

Abstract

AbstractTumor 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.

Funder

Deutsches Krebsforschungszentrum

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

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