Glioblastomas within the Subventricular Zone Are Region-Specific Enriched for Mesenchymal Transition Markers: An Intratumoral Gene Expression Analysis.
Diana J Z DalemansSharon BerendsenKaspar DraaismaPierre A J T RobeTom Jan SnijdersPublished in: Cancers (2021)
Background: Involvement of the subventricular zone (SVZ) in glioblastoma is associated with poor prognosis and is associated with specific tumor-biological characteristics. The SVZ microenvironment can influence gene expression in glioblastoma cells in preclinical models. We aimed to investigate whether the SVZ microenvironment has any influence on intratumoral gene expression patterns in glioblastoma patients. Methods: The publicly available Ivy Glioblastoma database contains clinical, radiological and whole exome sequencing data from multiple regions from resected glioblastomas. SVZ involvement of the various tissue samples was evaluated on MRI scans. In tumors that contacted the SVZ, we performed gene expression analyses and gene set enrichment analyses to compare gene (set) expression in tumor regions within the SVZ to tumor regions outside the SVZ. We also compared these samples to glioblastomas that did not contact the SVZ. Results: Within glioblastomas that contacted the SVZ, tissue samples within the SVZ showed enrichment of gene sets involved in (epithelial-)mesenchymal transition, NF-κB and STAT3 signaling, angiogenesis and hypoxia, compared to the samples outside of the SVZ region from the same tumors (p < 0.05, FDR < 0.25). Comparison of glioblastoma samples within the SVZ region to samples from tumors that did not contact the SVZ yielded similar results. In contrast, we observed no differences when comparing the samples outside of the SVZ from SVZ-contacting glioblastomas with samples from glioblastomas that did not contact the SVZ at all. Conclusion: Glioblastoma samples in the SVZ region are enriched for increased (epithelial-)mesenchymal transition and angiogenesis/hypoxia signaling, possibly mediated by the SVZ microenvironment.
Keyphrases
- gene expression
- poor prognosis
- epithelial mesenchymal transition
- stem cells
- computed tomography
- endothelial cells
- copy number
- genome wide
- dna methylation
- signaling pathway
- end stage renal disease
- magnetic resonance
- oxidative stress
- chronic kidney disease
- transforming growth factor
- genome wide identification
- prognostic factors
- inflammatory response
- immune response
- binding protein
- mesenchymal stem cells
- pi k akt
- lymph node
- bone marrow
- electronic health record
- machine learning
- cell death
- toll like receptor
- transcription factor
- cell cycle arrest
- deep learning
- adverse drug