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Sfoglia per Soggetto "Glioma"

Items 1-8 di 8

    • The Bmi-1/NF-kappa B/VEGF story: another hint for proteasome involvement in glioma angiogenesis? 

      Vlachostergios, P. J.; Papandreou, C. N. (2013)
      Angiogenesis is an essential process for sustaining tumor growth, particularly in cancer cell types with rapid proliferation, including malignant glioma. Bmi-1 is a transcriptional regulator of the polycomb group involved ...

    • Chimeric stimuli-responsive liposomes as nanocarriers for the delivery of the anti-glioma agent TRAM-34 

      Naziris N., Pippa N., Sereti E., Chrysostomou V., Kędzierska M., Kajdanek J., Ionov M., Miłowska K., Balcerzak Ł., Garofalo S., Limatola C., Pispas S., Dimas K., Bryszewska M., Demetzos C. (2021)
      Nanocarriers are delivery platforms of drugs, peptides, nucleic acids and other therapeutic molecules that are indicated for severe human diseases. Gliomas are the most frequent type of brain tumor, with glioblastoma being ...

    • Effect of single dose irradiation on human glioblastoma spheroids in vitro 

      Fehlauer, F.; Stalpers, L. J. A.; Panayiotides, J.; Kaaijk, P.; González Gonźalez, D.; Leenstra, S.; Van Der Valk, P.; Sminia, P. (2004)
      Investigation of the predictive value of a radiosurgery-relevant treatment of glioblastoma spheroids. Organotypic multicellular spheroids were cultured and irradiated (20 Gy). Morphology, apoptosis and immunohistochemical ...

    • Imaging biomarker analysis of advanced multiparametric MRI for glioma grading 

      Vamvakas A., Williams S.C., Theodorou K., Kapsalaki E., Fountas K., Kappas C., Vassiou K., Tsougos I. (2019)
      Aims and objectives: To investigate the value of advanced multiparametric MR imaging biomarker analysis based on radiomic features and machine learning classification, in the non-invasive evaluation of tumor heterogeneity ...

    • Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status 

      Sudre C.H., Panovska-Griffiths J., Sanverdi E., Brandner S., Katsaros V.K., Stranjalis G., Pizzini F.B., Ghimenton C., Surlan-Popovic K., Avsenik J., Spampinato M.V., Nigro M., Chatterjee A.R., Attye A., Grand S., Krainik A., Anzalone N., Conte G.M., Romeo V., Ugga L., Elefante A., Ciceri E.F., Guadagno E., Kapsalaki E., Roettger D., Gonzalez J., Boutelier T., Cardoso M.J., Bisdas S. (2020)
      Background: Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied ...

    • Mechanisms of proteasome inhibitor-induced cytotoxicity in malignant glioma 

      Vlachostergios, P. J.; Voutsadakis, I. A.; Papandreou, C. N. (2013)
      The 26S proteasome constitutes an essential degradation apparatus involved in the consistent recycling of misfolded and damaged proteins inside cells. The aberrant activation of the proteasome has been widely observed in ...

    • The role of ubiquitin-proteasome system in glioma survival and growth 

      Vlachostergios, P. J.; Voutsadakis, I. A.; Papandreou, C. N. (2013)
      High-grade gliomas represent a group of aggressive brain tumors with poor prognosis due to an inherent capacity of persistent cell growth and survival. The ubiquitin-proteasome system (UPS) is an intracellular machinery ...

    • The ubiquitin-proteasome system in glioma cell cycle control 

      Vlachostergios, P. J.; Voutsadakis, I. A.; Papandreou, C. N. (2012)
      A major determinant of cell fate is regulation of cell cycle. Tight regulation of this process is lost during the course of development and progression of various tumors. The ubiquitin-proteasome system (UPS) constitutes ...