1. Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres
- Author
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Matilde Marzorati, Serena Redaelli, Martina Giambra, Eleonora Messuti, Clarissa Cavandoli, Virginia Rodriguez-Menendez, Angela Bentivegna, Andrea Di Cristofori, Raffaele Bruno, Raffaella Buonanno, Melissa Zambuto, Carlo Giussani, Giambra, M, Messuti, E, Di Cristofori, A, Cavandoli, C, Bruno, R, Buonanno, R, Marzorati, M, Zambuto, M, Rodriguez-Menendez, V, Redaelli, S, Giussani, C, and Bentivegna, A
- Subjects
Genomic profile ,Array-CGH ,MED/03 - GENETICA MEDICA ,QH301-705.5 ,Biology ,GBM ,General Biochemistry, Genetics and Molecular Biology ,Treatment failure ,Article ,Peritumoral brain zone ,Glioma ,medicine ,Biology (General) ,Gene ,General Immunology and Microbiology ,copy number alterations ,Cancer ,Glioma stem cell ,Copy number alteration ,medicine.disease ,nervous system diseases ,Tumor recurrence ,Genomic Profile ,Cancer research ,Stem cell ,General Agricultural and Biological Sciences ,Glioblastoma - Abstract
Glioblastoma is an extremely heterogeneous disease. Treatment failure and tumor recurrence primarily reflect the presence in the tumor core (TC) of the glioma stem cells (GSCs), and secondly the contribution, still to be defined, of the peritumoral brain zone (PBZ). Using the array-CGH platform, we deepened the genomic knowledge about the different components of GBM and we identified new specific biomarkers useful for new therapies. We firstly investigated the genomic profile of 20 TCs of GBM, then, for 14 cases and 7 cases, respectively, we compared these genomic profiles with those of the related GSC cultures and PBZ biopsies. The analysis on 20 TCs confirmed the intertumoral heterogeneity and a high percentage of copy number alterations (CNAs) in GBM canonical pathways. Comparing the genomic profiles of 14 TC-GSC pairs, we evidenced a robust similarity among the two samples of each patient. The shared imbalanced genes are related to the development and progression of cancer and in metabolic pathways, as shown by bioinformatic analysis using DAVID. Finally, the comparison between 7 TC-PBZ pairs leads to identifying PBZ-unique alterations, which it has been identified, require further investigation.
- Published
- 2021