Nature Communications (Feb 2024)

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

  • 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 Horschitz,
  • Kati J. Ernst,
  • Denise Reibold,
  • Uwe Warnken,
  • Varun Venkataramani,
  • Rainer Will,
  • Mario L. Suvà,
  • Christel Herold-Mende,
  • Felix Sahm,
  • Frank Winkler,
  • Matthias Schlesner,
  • Wolfgang Wick,
  • Tobias Kessler

DOI
https://doi.org/10.1038/s41467-024-45067-8
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 29

Abstract

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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.