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Systematic identification of molecular pathways driving GBM invasion

ABSTRACT: Glioblastoma multiforme (GBM) is the most prevalent and deadliest adult brain tumor. To systematically characterize the pathways governing brain invasion, we developed a three-dimensional (3D) ex vivo organotypic invasion model with clinical relevance to GBM. We used this model to enrich for highly invasive GBM cell population. Using next-generation sequencing to transcriptomically profile highly invasive and poorly invasive GBM cell populations, we have identified a network of extracellular matrix (ECM) components, including multiple collagens and collagen-interacting proteins, which are upregulated by invading GBM cells and strongly correlate in expression with clinical glioma progression outcomes. We identify the interferon regulatory factor 3 (IRF3) as a direct transcriptional repressor of ECM factors in GBM and show that IRF3 acts as an endogenous suppressor of GBM invasion. Therapeutic activation of IRF3 by inhibiting casein kinase 2 (CK2) -- a negative regulator of IRF3 phosphorylation -- downregulated the expression of ECM factors and suppressed GBM invasion in ex vivo and in vivo models across a panel of patient-derived GBM cell lines representative of the main molecular GBM subtypes in the clinic. Our findings illustrate an integrated and systematic approach for the discovery of novel pathways regulating brain tumor invasion and provide a strong mechanistic insight into the notorious, yet poorly understood, invasion capacity of GBM tumors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE87535 | GEO | 2017/10/01

SECONDARY ACCESSION(S): PRJNA345047

REPOSITORIES: GEO

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Project description:Treating recurrent GBM is a clinical challenge due to its highly resistant and aggressive nature. In order to develop new therapeutic targets for recurrent GBM a better understanding of its molecular landscape is necessary. Here we used a cellular model, developed in our lab which generates paired primary and recurrent samples from GBM cell lines and primary patient samples hence allowing us to compare the molecular differences between the two populations. Total RNA seq analysis of parent and recurrent population of two cell lines and one patient sample revealed a significant upregulation of Extracellular matrix interaction in recurrent population. Since matrix stiffness plays a pivotal role in cell-ECM interaction and downstream signaling, we developed a system that mimicked the brain like substrate stiffness by using collagen coated polyacrylamide-based substrate whose stiffness can be modified from normal brain (0.5kPa) to tumorigenic (10kPa). Using these substrates, we were able to capture the morphological and physiological differences between parent and recurrent GBM which were not evident on plastic surfaces (~1 GPa). On 0.5kPa, unlike circular parent cells, recurrent GBM cells showed two morphologies (circular and elongated). The recurrent cells growing on 0.5kPa also showed higher proliferation, invasion, migration and in-vivo tumorigenicity in orthotropic GBM mouse model, compared to parent cells. Furthermore, recurrent cells exhibited elevated velocity irrespective of substrate stiffness, which indicated that recurrent cells may possess inherent differential mechanosignalling ability which was reflected by higher expression of ECM proteins like Collagen IVA, MMP2 and MMP9. Moreover, mice brain injected with recurrent cells grown on 0.5kPa substrate showed higher Young’s modulus values suggesting that recurrent cells conditioned on 0.5kPa make the surrounding ECM stiffer. Importantly, inhibition of EGFR signaling, that is amplified with tissue stiffening in GBM resulted in decreased invasion, migration and proliferation in 0.5kPa recurrent cells, but interestingly survival remained unaffected, highlighting the importance of mimicking the physiological stiffness of the brain mimicking clinical scenario. Total RNA seq analysis of parent and recurrent cells grown on plastic and 0.5kPa substrate identified PLEKHA7 as significantly upregulated gene specifically in 0.5kPa recurrent sample. Higher protein expression of PLEKHA7 in recurrent GBM as compared to primary GBM was validated in patient biopsies. Accordingly, PLEKHA7 knockdown reduced invasion and survival of recurrent GBM cells. Together, these data provides a model system that captures the differential mechanosensing signals of primary and recurrent GBM cells and identifies a novel potential target specific for recurrent GBM.

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Systematic identification of molecular pathways driving GBM invasion

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