REGULATION OF HGF EXPRESSION BY ΔEGFR-MEDIATED C-MET ACTIVATION IN GLIOBLASTOMA CELLS

Overexpression of the hepatocyte growth factor receptor (c-Met) and its ligand, the hepatocyte growth factor (HGF), and a constitutively active mutant of the epidermal growth factor receptor (∆EGFR/EGFRvIII), occur frequently in glioblastoma. c-Met is activated in a ligand-dependent manner by HGF or in a ligand-independent manner by ∆EGFR. Dysregulated c-Met signaling contributes to the aggressive phenotype of glioblastoma, yet the mechanisms underlying the production of HGF in glioblastoma are poorly understood. We found a positive correlation between HGF and c-Met expression in glioblastoma, suggesting that they are coregulated. This is supported by the finding that in a c-Met/HGF axis-dependent glioblastoma cell line, shRNA-mediated silencing of c-Met, or treatment with the c-Met inhibitor SU11274, attenuated HGF expression. Biologically, c-Met knockdown decreased anchorage-independent colony formation and the tumorigenicity of intracranial xenografts. Building on prior findings that ∆EGFR enhanced c-Met activation, we found that ∆EGFR also led to increased HGF expression, which was reversed upon ∆EGFR inhibition with AG1478. ∆EGFR required c-Met to maintain elevated HGF expression, colony formation of glioblastoma cells, and the tumorigenicity of orthotopic xenografts. An unbiased mass spectrometry-based approach identified phosphotyrosine-related signaling changes that occurred with c-Met knockdown in a glioblastoma cell line expressing ΔEGFR and in parental cells. Notably, phosphorylation of STAT3, a master regulator of the mesenchymal GBM subtype and a known target of ∆EGFR, also decreased when c-Met was silenced in these cells, suggesting that the signals from these receptors converge on STAT3. Using a STAT3 inhibitor, WP1193, we showed that STAT3 inhibition decreased HGF mRNA expression in ΔEGFR-expressing glioblastoma cells. Consistent with these findings, constitutively active STAT3 partially restored HGF expression and anchorage-independent growth of c-Met knockdown glioblastoma cells that overexpressed ΔEGFR. We found that higher levels of HGF and c-Met expression associated with the mesenchymal GBM subtype. Taken together, these results suggest that the activity of c-Met regulates the expression of HGF in glioblastoma cells, that ∆EGFR feeds positively into this autocrine loop, that signaling of the two receptors together modulate HGF expression via STAT3, and that the HGF/c-Met axis may therefore be a good additional target for therapy of mesenchymal GBM tumors.

Contribution of Ectodomain Mutations in Epidermal Growth Factor Receptor to Signaling in Glioblastoma Multiforme

CONTRIBUTION OF ECTODOMAIN MUTATIONS IN EPIDERMAL GROWTH FACTOR RECEPTOR TO SIGNALING IN GLIOBLASTOMA MULTIFORME Publication No._________ Marta Rojas, M.S. Supervisory Professor: Oliver Bögler, Ph.D. The Cancer Genome Atlas (TCGA) has conducted a comprehensive analysis of a large tumor cohort and has cataloged genetic alterations involving primary sequence variations and copy number aberrations of genes involved in key signaling pathways in glioblastoma (GBM). This dataset revealed missense ectodomain point mutations in epidermal growth factor receptor (EGFR), but the biological and clinical significance of these mutations is not well defined in the context of gliomas. In our study, we focused on understanding and defining the molecular mechanisms underlying the functions of EGFR ectodomain mutants. Using proteomic approaches to broadly analyze cell signaling, including antibody array and mass spectrometry-based methods, we found a differential spectrum of tyrosine phosphorylation across the EGFR ectodomain mutations that enabled us to stratify them into three main groups that correlate with either wild type EGFR (EGFR) or the long-studied mutant, EGFRvIII. Interestingly, one mutant shared characteristics of both groups suggesting a continuum of behaviors along which different mutants fall. Surprisingly, no substantial differences were seen in activation of classical downstream signaling pathways such as Akt and S6 pathways between these classes of mutants. Importantly, we demonstrated that ectodomain mutations lead to differential tumor growth capabilities in both in vitro (anchorage independent colony formation) and in vivo conditions (xenografts). Our data from the biological characterization allowed us to categorize the mutants into three main groups: the first group typified by EGFRvIII are mutations with a more aggressive phenotype including R108K and A289T; a second group characterized by a less aggressive phenotype exemplified by EGFR and the T263P mutation; and a third group which shared characteristics from both groups and is exemplified by the mutation A289D. In addition, we treated cells overexpressing the mutants with various agents employed in the clinic including temozolomide, cisplatin and tarceva. We found that cells overexpressing the mutants in general displayed resistance to the treatments. Our findings yield insights that help with the molecular characterization of these mutants. In addition, our results from the drug studies might be valuable in explaining differential responses to specific treatments in GBM patients.

Biologic and molecular analysis of tumor suppressor loci in human glioblastoma multiforme

Molecular and cytogenetic analyses of human glioblastomas have revealed frequent genetic alterations, including major deletions in chromosomes 9, 10, and 17, suggesting the presence of glioma-associated tumor suppressor genes on these chromosomes. To examine this hypothesis, copies of chromosomes 2, 4, and 10 derived from a human fibroblast cell line were independently introduced into a human glioma cell line, U251, by microcell-mediated chromosomal transfer. Successful transfer of chromosomes in each case was confirmed by resistance to the drug G418, indicating the presence of the neomycin-resistance gene previously integrated into each transferred chromosome. The presence of novel chromosomes and or chromosomal fragments was also demonstrated by molecular and karyotypic analyses. The hybrid clones containing either a novel chromosome 4 or chromosome 10 displayed suppression of the tumorigenic phenotype in vivo and suppression of the transformed phenotype in vitro, while cells containing a transferred chromosome 2 failed to alter their tumorigenic phenotype. The hybrid cells containing chromosome 4 or 10 exhibited a significant decrease in their saturation density, altered cellular morphology at high cell density, but only a slight decrease in their exponential growth rate. A dramatic decrease was observed in growth of cells with chromosome 4 or 10 in soft agarose, with the number and size of the colonies being greatly reduced, compared to the parental or chromosome 2 containing cells. The introduction of chromosome 4 or 10 also completely suppressed tumor formation in nude mice. These studies indicate that chromosome 10, as hypothesized, and chromosome 4, a novel finding for gliomas, harbor tumor suppressor loci that may be directly involved in the initiation or progression of normal glial precursors to human glioblastoma multiforme. ^

Analysis of differential gene expression in nontumorigenic glioblastoma multiforme

Loss of chromosome 10 represents the most common cytogenetic abnormality in high grade gliomas (glioblastoma multiforme). To identify genes involved in the malignant progression of human gliomas, a subtractive hybridization was performed between a tumorigenic glioblastoma cell line (LG11) and a nontumorgenic hybrid cell (LG11.3) containing an introduced chromosome 10. LG11 mRNA was subtracted from LG11.3 cDNA to produce cDNA probes enriched for sequences whose expression differs quantitatively from the parental tumorigenic cells. Both known and novel sequences were identified as a result of the subtraction. Northern blot analysis was then used to confirm differential expression of several subtracted clones. One novel clone, clone 17, identified a 2.6 kb message that showed a consistent two to four fold increase in expression in the LG11.3 nontumorigenic cells. Clone 17 (340 bp) was used successfully to screen for a near full-length version, RIG (regulated in glioma), which was 2,569 bp in size. The RIG cDNA sequence showed homology to clone 17 and to an anonymous EST (IB666), but to no previously identified genes. This screening effort also identified several independent clones representing novel sequences, most of which failed to show increased expression in the nontumorigenic GBM cells. Tissue distribution studies of RIG indicated highest levels of expression in human brain with appreciably lower levels in heart and lung. In vitro transcription and translation experiments demonstrated the ability of RIG to direct the synthesis of a 13 kD protein product. However, open reading frame analysis revealed no identify with previously described motifs or any known proteins. Using a combination of somatic cell hybrid panels and in situ hybridization, the RIG gene was mapped to chromosome 11p14-11p15. Further study of RIG and related gene products may provide insight into the negative regulation of glial oncogenesis. ^

Micro RNA expression alterations in patients with glioblastoma

Glioblastoma, also known as glioblastoma multiform or GBM, is the most common and most malignant primary brain tumor. The clinical history of patients with glioblastoma is short, usually less than 3 months in more than 50% of cases after diagnosis. Currently, the methods of glioblastoma treatment are chemotherapy, radiotherapy and surgery. Even with the more effective treatment options, patients with glioblastoma most likely have a median survival time of 10 to 12 months. It is necessary to seek other treatment methods, including gene-targeted treatment. The success of gene-targeted treatment depends critically on the knowledge of genes that may be the cause of, or contribute to disease. To establish a correlate between glioblastoma survival timeline and micro RNA expression alteration, a study of 91 glioblastoma patients was conducted at the University of Texas M. D. Anderson Cancer Center. These 91 glioblastoma patients were newly diagnosed from 2002 to 2007. Statistical analysis was conducted to test the association of miRNA expression alteration between long-term survival and short-term survival glioblastoma. The completion of this proposed study will provide a better understanding of the regulatory role of miRNA in glioblastoma progression.^

LOW REACTIVE OXYGEN SPECIES AND HIGH GLYCOLYSIS IN GLIOBLASTOMA STEM CELLS:MECHANISMS AND THERAPEUTIC IMPLICATIONS

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor with poor prognosis due in part to drug resistance and high incidence of tumor recurrence. The drug resistant and cancer recurrence phenotype may be ascribed to the presence of glioblastoma stem cells (GSCs), which seem to reside in special stem-cell niches in vivo and require special culture conditions including certain growth factors and serum-free medium to maintain their stemness in vitro. Exposure of GSCs to fetal bovine serum (FBS) can cause their differentiation, the underlying mechanism of which remains unknown. Reactive oxygen species (ROS) play an important role in normal stem cell differentiation, but their role in affecting cancer stem cell fate remains unclear. Whether the metabolic characteristics of GSCs are different from other glioblastoma cells and can be targeted are also unknown. In this study, we used several stem-like glioblastoma cell lines derived from clinical tissues by typical neurosphere culture system or orthotopic xenografts, and showed that addition of fetal bovine serum to the medium induced an increase of ROS, leading to aberrant differentiation and decreases of stem cell markers such as CD133. We found that exposure of GSCs to serum induced their differentiation through activation of mitochondrial respiration, leading to an increase in superoxide (O2-) generation and a profound ROS stress response manifested by upregulation of oxidative stress response pathway. This increase in mitochondrial ROS led to a down-regulation of molecules including SOX2, and Olig2, and Notch1 that are important for stem cell function and an upregulation of mitochondrial superoxide dismutase SOD2 that converts O2- to H2O2. Neutralization of ROS by antioxidant N-acetyl-cysteine in the serum-treated GSCs suppressed the increase of superoxide and partially rescued the expression of SOX2, Olig2, and Notch1, and prevented the serum-induced differentiation phenotype. Additionally, GSCs showed high dependence on glycolysis for energy production. The combination of a glycolytic inhibitor 3-BrOP and a chemotherapeutic agent BCNU depleted cellular ATP and inhibited the repair of BCNU-induced DNA damage, achieving strikingly synergistic killing effects in drug resistant GSCs. This study uncovers the metabolic properties of glioblastoma stem cells and suggests that mitochondrial function and cellular redox status may profoundly affect the fates of glioblastoma stem cells via a ROS-mediated mechanism, and that the active glycolytic metabolism in cancer stem cells may provide a biochemical basis for developing novel therapeutic strategies to effectively eliminate GSCs.

Potential REST Targets in Neural Stem Cells and Glioblastoma-Derived Stem Cells

Glioblastoma multiforme (GBM) tumors are the most common malignant primary brain tumors in adults. The current theory is that these tumors are caused by self-renewing glioblastoma-derived stem cells (GSCs). At the current time, the mechanisms that regulate self-renewal and other oncogenic properties of GSCs remain unknown. Recently, we found transcriptional repressor REST maintains self-renewal in neural stem cells (NSCs) and in GSCs. REST also regulates other oncogenic properties, such as apoptosis, invasion and proliferation. However, the mechanisms by which REST regulates these oncogenic properties are unknown. In an attempt to determine these mechanisms, we performed loss and gain-of-function experiments and genome-wide mRNA expression analysis in GSCs, and we were able to identify REST-regulated genes in GSCs. This was accomplished, after screening concordantly regulated genes in NSCs and GSCs, utilizing two RE1 databases, and setting two-fold expression as filters on the resulting genes. These results received further validation by qRT-PCR. Ingenuity Pathway Analysis (IPA) analysis further revealed the top REST target genes in GSCs were downstream targets of REST and/or involved in other cancers in other cell lines. IPA also revealed that many of the differentially-regulated genes identified in this study are involved in oncogenic properties seen in GBM, and which we believe are related to REST expression.

αvβ8 Integrin Interacts with RhoGDI1 to Regulate Rac1 and Cdc42 Activation and Drive Glioblastoma Cell Invasion

As an interface between the circulatory and central nervous systems, the neurovascular unit is vital to the development and survival of tumors. The malignant brain cancer glioblastoma multiforme (GBM) displays invasive growth behaviors that are major impediments to surgical resection and targeted therapies. Adhesion and signaling pathways that drive GBM cell invasion remain largely uncharacterized. Here we have utilized human GBM cell lines, primary patient samples, and pre-clinical mouse models to demonstrate that integrin αvβ8 is a major driver of GBM cell invasion. β8 integrin is overexpressed in many human GBM cells, with higher integrin expression correlating with increased invasion and diminished patient survival. Silencing β8 integrin in human GBM cells leads to impaired tumor cell invasion due to hyperactivation of the Rho GTPases Rac1 and Cdc42. β8 integrin associates with Rho GDP Dissociation Inhibitor 1 (RhoGDI1), an intracellular signaling effector that sequesters Rho GTPases in their inactive GDP-bound states. Silencing RhoGDI1 expression or uncoupling αvβ8 integrin-RhoGDI1 protein interactions blocks GBM cell invasion due to Rho GTPase hyperactivation. These data reveal for the first time that αvβ8 integrin, via interactions with RhoGDI1, suppresses activation of Rho proteins to promote GBM cell invasiveness. Hence, targeting the αvβ8 integrin-RhoGDI1 signaling axis may be an effective strategy for blocking GBM cell invasion.

The functional role of the tumor suppressor MMAC /PTEN in glioblastoma multiforme and prostate cancer

Investigations into the molecular basis of glioblastoma multiforme led to the identification of a putative tumor suppressor gene, MMAC/ PTEN. Initial studies implicated MMAC/PTEN in many different tumor types, and identified a protein phosphatase motif in its sequence. This project aimed to identify the biological and biochemical functions of MMAC/PTEN by transiently expressing the gene in cancer cells that lack a functional gene product. ^ Expression of MMAC/PTEN mildly suppressed the growth of U251 human glioma cells and abrogated the growth advantage mediated by overexpression of the epidermal growth factor receptor (EGFR). Immunoblotting demonstrated that MMAC/PTEN expression did not affect the phosphorylation of the EGFR itself, or the intermediates of several downstream signaling pathways. However, MMAC/PTEN expression significantly reduced the phosphorylation and catalytic activity of the proto-oncogene Akt/PKB. While Akt/PKB regulates the survival of many cell types, expression of MMAC/PTEN did not induce apoptosis in adherent U251 cells. Instead, MMAC/PTEN expression sensitized the cells to apoptosis when maintained in suspension (anoikis). As the survival of suspended cells is one of the hallmarks leading to metastasis, MMAC/PTEN expression was examined in a system in which metastasis is more clinically relevant, prostate cancer. ^ Expression of MMAC/PTEN in both LNCaP and PC3-P human prostate cancer cells specifically inhibited Akt/PKB phosphorylation. MMAC/PTEN expression in LNCaP cells resulted in a profound inhibition of growth that was significantly greater than that achieved with expression of p53. Expression of MMAC/PTEN in PC3-P cells resulted in greater growth inhibition than was observed in U251 glioma cells, but less than was observed in LNCaP cells, or upon p53 expression. To determine if MMAC/PTEN could function as a tumor suppressor in vivo, the effects of MMAC/PTEN expression on PC3-P cells implanted orthotopically in nude mice were examined. The ex-vivo expression of MMAC/PTEN did not decrease tumor incidence, but it did significantly decrease tumor size and metastasis. In-vivo expression of MMAC/PTEN in pre-established PC3-P tumors did not significantly inhibit tumor incidence or size, but did inhibit metastasis formation. ^ These studies demonstrate that MMAC/PTEN is a novel and important tumor suppressor gene, which functions to downregulate an important cell survival signaling pathway. ^

YKL -40, a vascular -associated serum marker for glioblastoma, correlates with chronic activation of AKT

YKL-40 is a secreted glycoprotein that has been reported to be expressed in pathologic conditions of extracellular matrix degradation and angiogenesis, such as rheumatoid arthritis, severe osteoarthritis, primary colorectal cancer, metastatic breast cancer, and recurrent ovarian cancer (Dehn, Hogdall et al. 2003). ^ We have identified YKL-40 as a serum marker for glioblastoma multiforme (GBM) using microarray analysis from samples of GBM. We compared the gene expression profile of 19 gliomas to pooled normal brain tissue using the Incyte 10,000 gene expression array. The most differentially expressed gene in this analysis was YKL-40; it was detected in GBM samples with a range of 3 to 62-fold elevation over normal brain. Western blot analysis of glioma samples for YKL-40 protein levels revealed substantial elevation in approximately 65% of GBMs, and undetectable levels in lower-grade gliomas and normal brain tissue. ELISA analysis on serum samples of glioma patients showed that YKL-40 levels were substantially elevated in many of the GBM patients. Statistical analysis indicated that in patients with glioma, serum YKL-40 levels correlate with tumor grade and potentially tumor burden in GBM. ^ Furthermore, we found that YKL-40 expression by in-situ hybridization on a brain tumor tissue array was limited to GBM's and gliosarcomas (GSA), and that YKL-40 expression was specific to the GBM component of GSA. Additional in-situ hybridization analysis, found it to be regionally associated with tumor vasculature as well as activated AKT expression in both human and mouse GBM's. Correlation of elevated YKL-40 with phospho-AKT was confirmed by Western blot analysis on a series of glioblastoma tumors, and inhibition of PI3 Kinase signaling by addition of LY294002 also decreased secretion of YKL-40 over a 7-day period in U87 glioblastoma cell tine. Lastly, YKL-40 expression was induced in response to serum starvation and altered by interaction with specific extracellular matrix (ECM) modules. In summary, we have identified the first accurate serum marker for high-grade gliomas. Furthermore, our findings indicate that YKL-40 is a highly expressed vascular-related glycoprotein in human GBM tissue and that it is affected by the AKT signaling pathway and interaction with components of brain ECM proteins. ^

Targeting the Blood-brain Barrier with a Non-canonical Iron-mimicry Mechanism

Treatment of central nervous system (CNS) diseases is limited by the blood-brain barrier (BBB), a selective vascular interface restricting passage of most molecules from blood into brain. Specific transport systems have evolved allowing circulating polar molecules to cross the BBB and gain access to the brain parenchyma. However, to date, few ligands exploiting such systems have proven clinically viable in the setting of CNS diseases. We reasoned that combinatorial phage-display screenings in vivo would yield peptides capable of crossing the BBB and allow for the development of ligand-directed targeting strategies of the brain. Here we show the identification of a peptide mediating systemic targeting to the normal brain and to an orthotopic human glioma model. We demonstrate that this peptide functionally mimics iron through an allosteric mechanism and that a non-canonical association of (i) transferrin, (ii) the iron-mimic ligand motif, and (iii) transferrin receptor mediates binding and transport of particles across the BBB. We also show that in orthotopic human glioma xenografts, a combination of transferrin receptor over-expression plus extended vascular permeability and ligand retention result in remarkable brain tumor targeting. Moreover, such tumor targeting attributes enables Herpes simplex virus thymidine kinase-mediated gene therapy of intracranial tumors for molecular genetic imaging and suicide gene delivery with ganciclovir. Finally, we expand our data by analyzing a large panel of primary CNS tumors through comprehensive tissue microarrays. Together, our approach and results provide a translational avenue for the detection and treatment of brain tumors.

SURVIVAL PREDICTION FOR BRAIN TUMOR PATIENTS USING GENE EXPRESSION DATA

Brain tumor is one of the most aggressive types of cancer in humans, with an estimated median survival time of 12 months and only 4% of the patients surviving more than 5 years after disease diagnosis. Until recently, brain tumor prognosis has been based only on clinical information such as tumor grade and patient age, but there are reports indicating that molecular profiling of gliomas can reveal subgroups of patients with distinct survival rates. We hypothesize that coupling molecular profiling of brain tumors with clinical information might improve predictions of patient survival time and, consequently, better guide future treatment decisions. In order to evaluate this hypothesis, the general goal of this research is to build models for survival prediction of glioma patients using DNA molecular profiles (U133 Affymetrix gene expression microarrays) along with clinical information. First, a predictive Random Forest model is built for binary outcomes (i.e. short vs. long-term survival) and a small subset of genes whose expression values can be used to predict survival time is selected. Following, a new statistical methodology is developed for predicting time-to-death outcomes using Bayesian ensemble trees. Due to a large heterogeneity observed within prognostic classes obtained by the Random Forest model, prediction can be improved by relating time-to-death with gene expression profile directly. We propose a Bayesian ensemble model for survival prediction which is appropriate for high-dimensional data such as gene expression data. Our approach is based on the ensemble "sum-of-trees" model which is flexible to incorporate additive and interaction effects between genes. We specify a fully Bayesian hierarchical approach and illustrate our methodology for the CPH, Weibull, and AFT survival models. We overcome the lack of conjugacy using a latent variable formulation to model the covariate effects which decreases computation time for model fitting. Also, our proposed models provides a model-free way to select important predictive prognostic markers based on controlling false discovery rates. We compare the performance of our methods with baseline reference survival methods and apply our methodology to an unpublished data set of brain tumor survival times and gene expression data, selecting genes potentially related to the development of the disease under study. A closing discussion compares results obtained by Random Forest and Bayesian ensemble methods under the biological/clinical perspectives and highlights the statistical advantages and disadvantages of the new methodology in the context of DNA microarray data analysis.

Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Empirical evidence and theoretical studies suggest that the phenotype, i.e., cellular- and molecular-scale dynamics, including proliferation rate and adhesiveness due to microenvironmental factors and gene expression that govern tumor growth and invasiveness, also determine gross tumor-scale morphology. It has been difficult to quantify the relative effect of these links on disease progression and prognosis using conventional clinical and experimental methods and observables. As a result, successful individualized treatment of highly malignant and invasive cancers, such as glioblastoma, via surgical resection and chemotherapy cannot be offered and outcomes are generally poor. What is needed is a deterministic, quantifiable method to enable understanding of the connections between phenotype and tumor morphology. Here, we critically assess advantages and disadvantages of recent computational modeling efforts (e.g., continuum, discrete, and cellular automata models) that have pursued this understanding. Based on this assessment, we review a multiscale, i.e., from the molecular to the gross tumor scale, mathematical and computational "first-principle" approach based on mass conservation and other physical laws, such as employed in reaction-diffusion systems. Model variables describe known characteristics of tumor behavior, and parameters and functional relationships across scales are informed from in vitro, in vivo and ex vivo biology. We review the feasibility of this methodology that, once coupled to tumor imaging and tumor biopsy or cell culture data, should enable prediction of tumor growth and therapy outcome through quantification of the relation between the underlying dynamics and morphological characteristics. In particular, morphologic stability analysis of this mathematical model reveals that tumor cell patterning at the tumor-host interface is regulated by cell proliferation, adhesion and other phenotypic characteristics: histopathology information of tumor boundary can be inputted to the mathematical model and used as a phenotype-diagnostic tool to predict collective and individual tumor cell invasion of surrounding tissue. This approach further provides a means to deterministically test effects of novel and hypothetical therapy strategies on tumor behavior.

Analyzing the Role of αvβ8 Integrin in Glioma-Induced Angiogenesis

In this study we aimed to determine the functional roles for αvβ8 integrin in astrocytoma-induced angiogenesis. These studies originate from our analyses of αvβ8 integrin in developmental brain angiogenesis. αv and β8 knockout (KO) mice develop brain-specific vascular phenotypes that resemble vascular pathologies observed in the malignant astrocytoma, glioblastoma multiforme (GBM). Indeed, a murine xenograft model of astrocytoma suggested a role for the integrin in glioma-induced angiogenesis. Primary mouse astroglia were cultured from wild type (WT) and β8 KO neonates and were immortalized (HPV:E6/E7) and transformed (HRas:G12V). WT and β8 KO transformed astroglia were intracranially injected into athymic mice. WT tumors displayed pathological features of grade III astrocytomas, whereas β8 KO tumors resembled grade IV GBMs. KO tumors contained widespread edema and hemorrhage as well as pathological angiogenesis, as assessed by quantitation of microvascular density and blood vessel morphology. Additionally, exogenous expression of β8 integrin in β8 KO transformed astroglia resolved the pathologies observed in KO tumors giving further credence to the idea that loss of αvβ8 integrin expression correlates with tumorigenic potential of oncogene-transformed astroglia. To compliment our mouse model, several established human glioma cell lines were characterized for expression of αvβ8 integrin protein. Some of the cell lines displayed low expression of αvβ8 integrin, whereas others showed high levels, as compared to non-malignant human astrocytes. Intracranial implantation of high and low β8 integrin-expressing human glioma cell lines resulted in tumors exhibiting similar phenotypes to those observed in the mouse model; low expressers were marked by vascular pathologies indicative of β8 KO mouse tumors. Upon overexpression of β8 integrin in a low β8 integrin-expressing human glioma cell line, angiogenic pathologies were largely resolved. Moreover, intracranially injected αvHI- and αvLO-sorted GBM stem cells (GSCs) resulted in significantly different tumor sizes, where those GSCs endogenously expressing low levels of αv integrin formed two to three fold larger tumors. Furthermore, lentiviral knockdown of β8 integrin in transformed human astrocytes formed tumors that strikingly recapitulated the characteristics of the murine β8-/- tumors, exhibiting a significant increase in microvascular density leading to decreased overall survival. A paracrine mechanism was discovered involving endothelial cell homeostatic control governed by canonical TGFβ signaling initiated by αvβ8 integrin’s role in the latent cytokine’s activation. Diminished TGFβ signaling in tumor-associated endothelial cells promoted increased angiogenesis and decreased overall survival as a result of αvβ8 integrin’s loss on the tumor cell. Collectively, these data suggest an important functional role for αvβ8 integrin in glioma angiogenesis.

FoxM1B transcriptionally regulates vascular endothelial growth factor expression and promotes the angiogenesis and growth of glioma cells.

We previously found that FoxM1B is overexpressed in human glioblastomas and that forced FoxM1B expression in anaplastic astrocytoma cells leads to the formation of highly angiogenic glioblastoma in nude mice. However, the molecular mechanisms by which FoxM1B enhances glioma angiogenesis are currently unknown. In this study, we found that vascular endothelial growth factor (VEGF) is a direct transcriptional target of FoxM1B. FoxM1B overexpression increased VEGF expression, whereas blockade of FoxM1 expression suppressed VEGF expression in glioma cells. Transfection of FoxM1 into glioma cells directly activated the VEGF promoter, and inhibition of FoxM1 expression by FoxM1 siRNA suppressed VEGF promoter activation. We identified two FoxM1-binding sites in the VEGF promoter that specifically bound to the FoxM1 protein. Mutation of these FoxM1-binding sites significantly attenuated VEGF promoter activity. Furthermore, FoxM1 overexpression increased and inhibition of FoxM1 expression suppressed the angiogenic ability of glioma cells. Finally, an immunohistochemical analysis of 59 human glioblastoma specimens also showed a significant correlation between FoxM1 overexpression and elevated VEGF expression. Our findings provide both clinical and mechanistic evidence that FoxM1 contributes to glioma progression by enhancing VEGF gene transcription and thus tumor angiogenesis.