% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Eckert:278806,
      author       = {F. Eckert$^*$ and K. Ganser and B. Bender and J.
                      Schittenhelm and M. Skardelly and F. Behling and G.
                      Tabatabai and N. Stransky and E. Hoffmann$^*$ and D.
                      Zips$^*$ and S. M. Huber and F. Paulsen},
      title        = {{P}otential of pre-operative {MRI} features in glioblastoma
                      to predict for molecular stem cell subtype and patient
                      overall survival.},
      journal      = {Radiotherapy and oncology},
      volume       = {188},
      issn         = {0167-8140},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2023-01716},
      pages        = {109865},
      year         = {2023},
      note         = {Volume 188, November 2023, 109865},
      abstract     = {of the study. A molecular signature based on 10 mRNA
                      abundances that characterizes the mesenchymal-to-proneural
                      phenotype of glioblastoma stem(like) cells (GSCs) enriched
                      in primary culture has been previously established. As this
                      phenotype has been proposed to be prognostic for disease
                      outcome the present study aims to identify features of the
                      preoperative MR imaging that may predict the GSC phenotype
                      of individual tumors.Molecular mesenchymal-to-proneural mRNA
                      signatures and intrinsic radioresistance (SF4, survival
                      fraction at 4 Gy) of primary GSC-enriched cultures were
                      associated with survival data and pre-operative MR imaging
                      of the corresponding glioblastoma patients of a prospective
                      cohort (n = 24). The analyzed imaging parameters comprised
                      linear vectors derived from tumor volume, necrotic volume
                      and edema as contoured manually.A necrosis/tumor vector
                      ratio and to a weaker extent the product of this ratio and
                      the edema vector were identified to correlate with the
                      mesenchymal-to-proneural mRNA signature and the SF4 of the
                      patient-derived GSC cultures. Importantly, both parameter
                      combinations were predictive for overall survival of the
                      whole patient cohort. Moreover, the combination of
                      necrosis/tumor vector ratio and edema vector differed
                      significantly between uni- and multifocally recurring
                      tumors.Features of the preoperative MR images may reflect
                      the molecular signature of the GSC population and might be
                      used in the future as a prognostic factor and for treatment
                      stratification especially in the MGMT promotor-unmethylated
                      sub-cohort of glioblastoma patients.},
      keywords     = {Glioblastoma (Other) / MGMT promoter methylation (Other) /
                      MRI (Other) / mesenchymal (Other) / proneural (Other) / stem
                      cells (Other)},
      cin          = {TU01},
      ddc          = {610},
      cid          = {I:(DE-He78)TU01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37619660},
      doi          = {10.1016/j.radonc.2023.109865},
      url          = {https://inrepo02.dkfz.de/record/278806},
}