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@ARTICLE{Hai:287645,
      author       = {L. Hai$^*$ and D. C. F. Hoffmann$^*$ and R. J. Wagener$^*$
                      and D. D. Azorin$^*$ and D. Hausmann$^*$ and R. Xie$^*$ and
                      M.-C. Huppertz and J. Hiblot and P. Sievers$^*$ and S.
                      Heuer$^*$ and J. Ito$^*$ and G. Cebulla$^*$ and A.
                      Kourtesakis$^*$ and L. D. Kaulen$^*$ and M. Ratliff$^*$ and
                      H. Mandelbaum and E. Jung$^*$ and A. Jabali and S. Horschitz
                      and K. Ernst$^*$ and D. Reibold$^*$ and U. Warnken$^*$ and
                      V. Venkataramani$^*$ and R. Will$^*$ and M. L. Suvà and C.
                      Herold-Mende and F. Sahm$^*$ and F. Winkler$^*$ and M.
                      Schlesner$^*$ and W. Wick$^*$ and T. Kessler$^*$},
      title        = {{A} clinically applicable connectivity signature for
                      glioblastoma includes the tumor network driver {CHI}3{L}1.},
      journal      = {Nature Communications},
      volume       = {15},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {DKFZ-2024-00289},
      pages        = {968},
      year         = {2024},
      note         = {#EA:W610#EA:B320#LA:B320#},
      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.},
      cin          = {W610 / B320 / B300 / B360 / W111 / HD01},
      ddc          = {500},
      cid          = {I:(DE-He78)W610-20160331 / I:(DE-He78)B320-20160331 /
                      I:(DE-He78)B300-20160331 / I:(DE-He78)B360-20160331 /
                      I:(DE-He78)W111-20160331 / I:(DE-He78)HD01-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38320988},
      doi          = {10.1038/s41467-024-45067-8},
      url          = {https://inrepo02.dkfz.de/record/287645},
}