@article{HagemannNeuhausDahlmannetal.2019,
  author    = {Hagemann, Carsten and Neuhaus, Nikolas and Dahlmann, Mathias and Kessler, Almuth F. and Kobelt, Dennis and Herrmann, Pia and Eyrich, Matthias and Freitag, Benjamin and Linsenmann, Thomas and Monoranu, Camelia M. and Ernestus, Ralf-Ingo and L{\"o}hr, Mario and Stein, Ulrike},
  title     = {Circulating MACC1 transcripts in glioblastoma patients predict prognosis and treatment response},
  series = {Cancers},
  volume    = {11},
  journal   = {Cancers},
  number    = {6},
  issn      = {2072-6694},
  doi       = {10.3390/cancers11060825},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-197327},
  year      = {2019},
  abstract  = {Glioblastoma multiforme is the most aggressive primary brain tumor of adults, but lacksreliable and liquid biomarkers. We evaluated circulating plasma transcripts of metastasis-associatedin colon cancer-1 (MACC1), a prognostic biomarker for solid cancer entities, for prediction of clinicaloutcome and therapy response in glioblastomas. MACC1 transcripts were significantly higher inpatients compared to controls. Low MACC1 levels clustered together with other prognosticallyfavorable markers. It was associated with patients' prognosis in conjunction with the isocitratedehydrogenase (IDH) mutation status: IDH1 R132H mutation and low MACC1 was most favorable(median overall survival (OS) not yet reached), IDH1 wildtype and high MACC1 was worst (medianOS 8.1 months), while IDH1 wildtype and low MACC1 was intermediate (median OS 9.1 months).No patients displayed IDH1 R132H mutation and high MACC1. Patients with low MACC1 levelsreceiving standard therapy survived longer (median OS 22.6 months) than patients with high MACC1levels (median OS 8.1 months). Patients not receiving the standard regimen showed the worstprognosis, independent of MACC1 levels (low: 6.8 months, high: 4.4 months). Addition of circulatingMACC1 transcript levels to the existing prognostic workup may improve the accuracy of outcomeprediction and help define more precise risk categories of glioblastoma patients.},
  language  = {en}
}
@article{DietlSchwinnDietletal.2016,
  author    = {Dietl, Sebastian and Schwinn, Stefanie and Dietl, Susanne and Riedl, Simone and Deinlein, Frank and Rutkowski, Stefan and von Bueren, Andre O. and Krauss, J{\"u}rgen and Schweitzer, Tilmann and Vince, Giles H. and Picard, Daniel and Eyrich, Matthias and Rosenwald, Andreas and Ramaswamy, Vijay and Taylor, Michael D. and Remke, Marc and Monoranu, Camelia M. and Beilhack, Andreas and Schlegel, Paul G. and W{\"o}lfl, Matthias},
  title     = {MB3W1 is an orthotopic xenograft model for anaplastic medulloblastoma displaying cancer stem cell- and Group 3-properties},
  series = {BMC Cancer},
  volume    = {16},
  journal   = {BMC Cancer},
  number    = {115},
  doi       = {10.1186/s12885-016-2170-z},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-145877},
  year      = {2016},
  abstract  = {Background Medulloblastoma is the most common malignant brain tumor in children and can be divided in different molecular subgroups. Patients whose tumor is classified as a Group 3 tumor have a dismal prognosis. However only very few tumor models are available for this subgroup. Methods We established a robust orthotopic xenograft model with a cell line derived from the malignant pleural effusions of a child suffering from a Group 3 medulloblastoma. Results Besides classical characteristics of this tumor subgroup, the cells display cancer stem cell characteristics including neurosphere formation, multilineage differentiation, CD133/CD15 expression, high ALDH-activity and high tumorigenicity in immunocompromised mice with xenografts exactly recapitulating the original tumor architecture. Conclusions This model using unmanipulated, human medulloblastoma cells will enable translational research, specifically focused on Group 3 medulloblastoma.},
  language  = {en}
}