Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres
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...
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2021
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oai:doaj.org-article:d0eab1a766b84731a42b72c7714bb4372021-11-25T16:47:34ZCharacterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres10.3390/biology101111572079-7737https://doaj.org/article/d0eab1a766b84731a42b72c7714bb4372021-11-01T00:00:00Zhttps://www.mdpi.com/2079-7737/10/11/1157https://doaj.org/toc/2079-7737Glioblastoma 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 the identification of PBZ-unique alterations that require further investigation.Martina GiambraEleonora MessutiAndrea Di CristoforiClarissa CavandoliRaffaele BrunoRaffaella BuonannoMatilde MarzoratiMelissa ZambutoVirginia Rodriguez-MenendezSerena RedaelliCarlo GiussaniAngela BentivegnaMDPI AGarticleglioblastomaGBMglioma stem cellperitumoral brain zonegenomic profilearray-CGHBiology (General)QH301-705.5ENBiology, Vol 10, Iss 1157, p 1157 (2021) |
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DOAJ |
| collection |
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| language |
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| topic |
glioblastoma GBM glioma stem cell peritumoral brain zone genomic profile array-CGH Biology (General) QH301-705.5 |
| spellingShingle |
glioblastoma GBM glioma stem cell peritumoral brain zone genomic profile array-CGH Biology (General) QH301-705.5 Martina Giambra Eleonora Messuti Andrea Di Cristofori Clarissa Cavandoli Raffaele Bruno Raffaella Buonanno Matilde Marzorati Melissa Zambuto Virginia Rodriguez-Menendez Serena Redaelli Carlo Giussani Angela Bentivegna Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| description |
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 the identification of PBZ-unique alterations that require further investigation. |
| format |
article |
| author |
Martina Giambra Eleonora Messuti Andrea Di Cristofori Clarissa Cavandoli Raffaele Bruno Raffaella Buonanno Matilde Marzorati Melissa Zambuto Virginia Rodriguez-Menendez Serena Redaelli Carlo Giussani Angela Bentivegna |
| author_facet |
Martina Giambra Eleonora Messuti Andrea Di Cristofori Clarissa Cavandoli Raffaele Bruno Raffaella Buonanno Matilde Marzorati Melissa Zambuto Virginia Rodriguez-Menendez Serena Redaelli Carlo Giussani Angela Bentivegna |
| author_sort |
Martina Giambra |
| title |
Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| title_short |
Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| title_full |
Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| title_fullStr |
Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| title_full_unstemmed |
Characterizing the Genomic Profile in High-Grade Gliomas: From Tumor Core to Peritumoral Brain Zone, Passing through Glioma-Derived Tumorspheres |
| title_sort |
characterizing the genomic profile in high-grade gliomas: from tumor core to peritumoral brain zone, passing through glioma-derived tumorspheres |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/d0eab1a766b84731a42b72c7714bb437 |
| work_keys_str_mv |
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| _version_ |
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