Molecular features of low-grade developmental brain tumours Focusing on subependymal giant cell astrocytomas in tuberous sclerosis complex

Open Access
Authors
  • A. Bongaarts
Supervisors
Cosupervisors
  • A. Mühlebner-Fahrngruber
  • A.Y.N. Schouten-van Meeteren
Award date 30-04-2021
ISBN
  • 9789463327527
Number of pages 223
Organisations
  • Faculty of Science (FNWI)
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
  • Faculty of Medicine (AMC-UvA)
Abstract
Although it is not unusual for brain tumours to clinically manifest with seizures, slowly growing low grade tumours tend to be especially epileptogenic. Low-grade epilepsy-associated tumours, including glioneuronal tumours (GNTs), are characterized by a history of 2 or more years of drug-resistant chronic epilepsy and often arise in younger age groups. Paediatric low grade gliomas (pLGGs) account for ~30% of brain tumours in children and can have a hereditary component. Subependymal giant cell astrocytomas (SEGAs) are low grade brain tumours that occur almost exclusively in patients with tuberous sclerosis complex (TSC), a monogenic disease caused by a mutations in either the TSC1 or TSC2 gene, resulting in constitutive activation of the mechanistic target of rapamycin complex (mTOR) pathway. SEGAs are not the direct cause of epilepsy in patients with TSC, but can effect seizure burden. The aim was to investigate the molecular mechanisms involved in SEGA development and growth on a (epi)genomic, transcriptomic and proteomic level and to investigate molecular features of several GNTs. Overall, this thesis provided novel insights into the molecular pathways involved in SEGA pathology, including the MAPK pathway and the extracellular matrix organization. Overexpression of LAMTOR1-5 in SEGAs provides a new link between the MAPK and mTOR pathway in SEGAs and could therefore also play an interesting role in other tumours where both pathways are effected. Furthermore, we show how miRNAs can be used to distinguish between tumour entities and how they can target important pathways in both SEGAs and GNTs.
Document type PhD thesis
Language English
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