scholarly journals Megalencephalic leukoencephalopathy with subcortical cysts 1 (MLC1) promotes glioblastoma cell invasion in the brain microenvironment

Oncogene ◽  
2020 ◽  
Vol 39 (50) ◽  
pp. 7253-7264
Author(s):  
John M. Lattier ◽  
Arpan De ◽  
Zhihua Chen ◽  
John E. Morales ◽  
Frederick F. Lang ◽  
...  
Glia ◽  
2003 ◽  
Vol 44 (3) ◽  
pp. 283-295 ◽  
Author(s):  
Angelika Schmitt ◽  
Viktor Gofferje ◽  
Melanie Weber ◽  
Jobst Meyer ◽  
Rainald Mössner ◽  
...  

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii56-iii57
Author(s):  
W Zhou ◽  
B Klink ◽  
G Dittmar ◽  
P Nazarov ◽  
E M Garcia ◽  
...  

Abstract BACKGROUND Glioblastoma (GBM) cell infiltration into the surrounding normal brain tissue where the blood brain barrier is intact, represents a major problem for clinical management and therapy. There is a vital need to understand the molecular mechanism that drives tumor cell invasion into the surrounding brain. We have previously developed a 3D coculture model where mature brain organoids are confronted with patient-derived glioblastoma stem-like cells (GSCs). In such a coculture system, single cell invasion into the normal brain tissue can be studied in detail. Here, we first describe in detail, by RNA-seq and proteomics, the differentiation of various neural cell lineages into mature brain organoids as well as their cellular organization. By real-time confocal microscopy and imaging analyses we also determine the speed of tumor cell invasion into the brain. Finally, we used this coculture system to delineate in detail the cellular heterogeneity within the invasive compartment and their gene expression. MATERIAL AND METHODS Immunohistochemistry and immunofluorescence were used to determine the expression and distribution of mature neurons, astrocytes, oligodendrocytes, and microglia within the brain organoids. Proteomics and RNA-seq were used to determine brain development ex-vivo. To assess the clonal composition of the GBM-invasive compartment, we used cellular (RGB) barcoding technology. By advanced imaging, we tracked in real time the invasion of barcoded cells into the brain organoids. Finally, we isolated invasive cells and non-invasive cells from our coculture system and used single cell sequencing to analyze their gene expression profiles and molecular phenotypes. RESULTS Immunohistochemistry and immunofluorescence showed that brain organoids, after 21 days of differentiation, display a highly cellular and structural organization. RNA-seq and proteomics, performed at different time points of organoid differentiation, revealed that the brain organoids develop into mature brain structures after 21 days as verified by a comparative analysis to normal rat brain development in vivo. Imaging analyses showed that multiple clones within the GBMs have the capacity to invade into the brain tissue with an average speed of ~ 20 μm/h. RNA-sec analysis of the invasive compartment revealed a strong up-regulation of genes and pathways associated with anaerobic respiration (glycolysis). CONCLUSION We describe a highly standardized brain organoid coculture system that can be used to delineate GBM invasion ex-vivo. We demonstrate that this platform can be used to unravel the mechanisms that drive GBM invasion into the normal brain.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi30-vi30
Author(s):  
Roland Kälin ◽  
Giorgia Mastrella ◽  
Mengzhuo Hou ◽  
Min Li ◽  
Veit Stoecklein ◽  
...  

Abstract Anti-angiogenic therapy of glioblastoma with bevacizumab, a vascular endothelial growth factor-A (VEGFA) blocking antibody, may accelerate tumor cell invasion and induce alternative angiogenic pathways. We investigated the roles of the pro-angiogenic receptor APLNR and its cognate ligand apelin in VEGFA/VEGFR2 anti-angiogenic therapy against distinct subtypes of glioblastoma. In proneural glioblastoma, apelin levels were downregulated by VEGFA or VEGFR2 blockade by use of bevacizumab or ramucirumab, respectively. A central role for apelin/APLNR in controlling glioblastoma vascularization was corroborated in a serial implantation model of the angiogenic switch that occurs in human glioblastoma. Apelin and APLNR are broadly expressed in human glioblastoma, and knockdown or knockout of APLN in orthotopic models of proneural or classical glioblastoma subtypes massively reduced glioblastoma vascularization as compared with controls. What is more, direct infusion of the bioactive peptide apelin-13 was able to rescue this vascular loss-of-function phenotype, demonstrating the specific control of tumor vascularization by apelin/APLNR signaling. While high levels of apelin correlated with reduced tumor cell invasiveness, the reduction in apelin expression led to accelerated glioblastoma cell invasion. Analysis of stereotactic glioblastoma biopsies from patients as well as from in vitro and in vivo experiments revealed increased dissemination of APLNR-positive tumor cells when apelin levels were reduced. Most interestingly, application of apelin-F13A, a mutant APLNR ligand, blocked both tumor angiogenesis and glioblastoma cell invasion. Furthermore, co-targeting VEGFR2 and APLNR synergistically improved survival of mice bearing proneural glioblastoma. In summary, we show that apelin/APLNR signaling controls glioblastoma angiogenesis and invasion directly, and that both pathological features are blunted by apelin-F13A. We suggest that apelin-F13A can improve the efficiency and reduce the side effects of established anti-angiogenic treatments for distinct glioblastoma subtypes.


2017 ◽  
Vol 16 (2) ◽  
pp. 322-332 ◽  
Author(s):  
Zonghui Ding ◽  
Alison Roos ◽  
Jean Kloss ◽  
Harshil Dhruv ◽  
Sen Peng ◽  
...  

2018 ◽  
Vol 423 ◽  
pp. 86-94 ◽  
Author(s):  
Yu-Shui Ma ◽  
Zhi-Jun Wu ◽  
Rui-Zhen Bai ◽  
Hua Dong ◽  
Bing-Xue Xie ◽  
...  

Neoplasia ◽  
2018 ◽  
Vol 20 (10) ◽  
pp. 1045-1058 ◽  
Author(s):  
Zonghui Ding ◽  
Harshil Dhruv ◽  
Aneta Kwiatkowska-Piwowarczyk ◽  
Rosamaria Ruggieri ◽  
Jean Kloss ◽  
...  

2010 ◽  
Author(s):  
Matthew J. Ennis ◽  
Wendy S. McDonough ◽  
Amanda Chan ◽  
Marc H. Symons ◽  
Jeffrey A. Winkles ◽  
...  

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