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@ARTICLE{CosenzaContreras:285008,
      author       = {M. Cosenza-Contreras and A. Schäfer and J. Sing and L.
                      Cook and M. N. Stillger and C.-Y. Chen and J. V. Hidalgo and
                      N. Pinter and L. Meyer and T. Werner and D. Bug and Z.
                      Haberl and O. Kübeck and K. Zhao and S. Stei and A. V.
                      Gafencu and R. Ionita and F. M. Brehar and J. Ferrer-Lozano
                      and G. Ribas and L. Cerdá-Alberich and L. Martí-Bonmatí
                      and C. Nimsky and A. Van Straaten and M. L. Biniossek and M.
                      Föll$^*$ and N. Cabezas-Wallscheid and J. Büscher and H.
                      Röst and A. Arnoux and J. W. Bartsch and O. Schilling},
      title        = {{P}roteometabolomics of initial and recurrent glioblastoma
                      highlights an increased immune cell signature with altered
                      lipid metabolism.},
      journal      = {Neuro-Oncology},
      volume       = {26},
      number       = {3},
      issn         = {1522-8517},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {DKFZ-2023-02181},
      pages        = {488-502},
      year         = {2024},
      note         = {2024 Mar 4;26(3):488-502},
      abstract     = {There is an urgent need to better understand the mechanisms
                      associated with the development, progression, and onset of
                      recurrence after initial surgery in glioblastoma (GBM). The
                      use of integrative phenotype-focused -omics technologies
                      such as proteomics and lipidomics provides an unbiased
                      approach to explore the molecular evolution of the tumor and
                      its associated environment.We assembled a cohort of
                      patient-matched initial (iGBM) and recurrent (rGBM)
                      specimens of resected GBM. Proteome and metabolome
                      composition were determined by mass spectrometry-based
                      techniques. We performed neutrophil-GBM cell co-culture
                      experiments to evaluate the behavior of rGBM-enriched
                      proteins in the tumor microenvironment. ELISA-based
                      quantitation of candidate proteins was performed to test the
                      association of their plasma concentrations in iGBM with the
                      onset of recurrence.Proteomic profiles reflect increased
                      immune cell infiltration and extracellular matrix
                      reorganization in rGBM. ASAH1, SYMN, and GPNMB were highly
                      enriched proteins in rGBM. Lipidomics indicates the
                      downregulation of ceramides in rGBM. Cell analyses suggest a
                      role for ASAH1 in neutrophils and its localization in
                      extracellular traps. Plasma concentrations of ASAH1 and SYNM
                      show an association with time-to-recurrence.We describe the
                      potential importance of ASAH1 in tumor progression and
                      development of rGBM via metabolic rearrangement and showcase
                      the feedback from the tumor microenvironment to plasma
                      proteome profiles. We report the potential of ASAH1 and SYNM
                      as plasma markers of rGBM progression. The published
                      datasets can be considered as a resource for further
                      functional and biomarker studies involving additional -omics
                      technologies.},
      keywords     = {acid ceramidase (ASAH1) (Other) / glioblastoma (Other) /
                      lipidomics (Other) / proteomics (Other) / tumor
                      microenvironment (Other)},
      cin          = {FR01},
      ddc          = {610},
      cid          = {I:(DE-He78)FR01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37882631},
      doi          = {10.1093/neuonc/noad208},
      url          = {https://inrepo02.dkfz.de/record/285008},
}