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Molecular Characterization of EGFR and EGFRvIII Signaling Networks in Human Glioblastoma Tumor Xenografts
Authors:Hannah Johnson  Amanda M Del Rosario  Bryan D Bryson  Mark A Schroeder  Jann N Sarkaria  Forest M White
Institution:From the ‡Department of Bioengineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA; ;§Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota 55905, USA; ;¶Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
Abstract:Glioblastoma multiforme (GBM) is a malignant primary brain tumor with a mean survival of 15 months with the current standard of care. Genetic profiling efforts have identified the amplification, overexpression, and mutation of the wild-type (wt) epidermal growth factor receptor tyrosine kinase (EGFR) in ∼50% of GBM patients. The genetic aberration of wtEGFR is frequently accompanied by the overexpression of a mutant EGFR known as EGFR variant III (EGFRvIII, de2–7EGFR, ΔEGFR), which is expressed in 30% of GBM tumors. The molecular mechanisms of tumorigenesis driven by EGFRvIII overexpression in human tumors have not been fully elucidated. To identify specific therapeutic targets for EGFRvIII driven tumors, it is important to gather a broad understanding of EGFRvIII specific signaling. Here, we have characterized signaling through the quantitative analysis of protein expression and tyrosine phosphorylation across a panel of glioblastoma tumor xenografts established from patient surgical specimens expressing wtEGFR or overexpressing wtEGFR (wtEGFR+) or EGFRvIII (EGFRvIII+). S100A10 (p11), major vault protein, guanylate-binding protein 1(GBP1), and carbonic anhydrase III (CAIII) were identified to have significantly increased expression in EGFRvIII expressing xenograft tumors relative to wtEGFR xenograft tumors. Increased expression of these four individual proteins was found to be correlated with poor survival in patients with GBM; the combination of these four proteins represents a prognostic signature for poor survival in gliomas. Integration of protein expression and phosphorylation data has uncovered significant heterogeneity among the various tumors and has highlighted several novel pathways, related to EGFR trafficking, activated in glioblastoma. The pathways and proteins identified in these tumor xenografts represent potential therapeutic targets for this disease.Glioblastoma multiforme (GBM)1 is the most frequent and aggressive form of primary brain tumor (1). The current standard of care for GBM consists of surgical removal, radiotherapy, and adjuvant chemotherapy (typically temozolomide) (1). However, despite these interventions the prognosis is still poor, with mean survival time at ∼15 months following diagnosis (2). Genetic profiling of GBM tumors has been used to identify multiple distinct genetic aberrations across a diverse array of genes such as the deletion of phosphatase and tensin homolog (PTEN), p16 deletion, and mutation of TP53 (3, 4). Additionally, amplification, overexpression, and/or mutation of the wild-type (wt) epidermal growth factor receptor tyrosine kinase (EGFR) has been identified to be a key genetic alteration in ∼50% of GBM patients (5). EGFR amplification is often accompanied by the overexpression of a mutant EGFR known as EGFR variant III (EGFRvIII, de2–7EGFR, ΔEGFR), which is expressed in 30% of GBM tumors (68). EGFRvIII is characterized by the deletion of exon 2–7, resulting in an in-frame deletion of 267 amino acid residues from the extracellular domain. This deletion generates a receptor which is unable to bind ligand yet is constitutively, but weakly, active (9). Continuous low level activation leads to impaired internalization and degradation of the receptor, causing prolonged signaling (10). Expression of EGFRvIII in the absence of wtEGFR leads to the transformation of cells in vivo, drives cell proliferation in vitro, and expression of EGFRvIII correlates with poor prognosis in the clinic (6, 11, 12). EGFRvIII has been identified in GBM, lung, ovarian, and breast cancers, but has never been identified in normal tissue (13, 14). Because of the absence of this mutant receptor in normal tissue, EGFRvIII is an attractive therapeutic target. Although EGFR inhibitors, such as erlotinib and gefitinib, inhibit EGFR, EGFRvIII bearing xenograft models and cell lines are resistant to these inhibitors (15, 16). Therapeutic agents directly targeting EGFRvIII in murine GBM xenografts initially resulted in reduced tumor volume and a modest increase in survival (17). However, tumor recurrence was inevitable because of resistance by uncharacterized evasion mechanisms and adaptations (17). We propose that an improved understanding of the system-wide changes in protein expression and signaling caused by EGFRvIII expression should provide insight into specific therapeutic targets for EGFRvIII driven tumors.It is thought that EGFRvIIl enhances tumorigenicity by differential utilization (e.g. altered amplitude and kinetics and potentially novel components or pathways) of signal transduction pathways compared with ligand activated wtEGFR. Quantitative mass spectrometry has previously been applied to the identification of EGFRvIII specific phosphotyrosine signaling across four GBM cell lines expressing titrated levels of EGFRvIII relative to cells expressing the kinase-dead control (18). Cross-activation of EGFRvIII and the c-Met receptor tyrosine kinase is prevalent within these EGFRvIII overexpressing cell lines, revealing an attractive therapeutic strategy (18), which was later extended to include cross-activation of PDGFR (platelet-derived growth factor receptor) (19).Although EGFRvIII signaling has been extensively studied in GBM cell lines, the molecular mechanisms of increased tumorigenesis driven by EGFRvIII overexpression in human tumors have not been fully elucidated (20, 21). In addition, tissue culture conditions dramatically change the genetic and molecular characteristics found in primary human tumors. In particular, EGFRvIII expression is rapidly lost during generation of primary culture cells from GBM tumors. Most of the EGFRvIII-expressing cells lines are a result of stable transfection, rather than endogenous expression, of the mutant receptor (22). Additionally, the micro-environment and cellular heterogeneity of the tumor have a significant impact on the response to therapeutics, yet are poorly reflected in cell culture. As a consequence, quantification of signaling networks in glioblastoma cell lines provide a limited understanding of the signaling networks in GBM tumor samples.To overcome this limitation, the James and Sarkaria labs have generated, from patient surgical specimens, a panel of glioblastoma tumor xenografts that are maintained through serial passaging as subcutaneous xenografts in nude mice (22, 23). Maintenance of GBM tumors in this in vivo setting preserves the genetic features and phenotypes crucial to the tumorigenicity of the primary human tumors (23). With these tumor xenografts it is possible to analyze in vivo signaling networks, predict optimal therapeutic strategies based on these data, and test these predictions in a physiologically relevant system.To quantify signaling networks activated in glioblastoma tumor xenografts and determine the effect of wtEGFR or EGFRvIII expression on these networks, we applied quantitative mass spectrometry to eight human GBM xenografts expressing wtEGFR (wt) or overexpressing wtEGFR (wtEGFR+) or EGFRvIII (EGFRvIII+) implanted into the flanks of nude mice. This analysis led to the identification and quantification of 1588 proteins (across two or more biological replicates) and 225 tyrosine phosphorylation sites on 168 proteins across eight tumor xenografts. Integration of quantitative phosphotyrosine data and protein expression profiles have uncovered the differential regulation of novel proteins and phosphotyrosine sites, which relate to the mode of action of wtEGFR and EGFRvIII overexpression in vivo. Quantification of tyrosine phosphorylation networks revealed signaling specific to each tumor xenograft. These data provide evidence for a significant amount of variation across the eight xenografts, and suggests that optimal therapeutic strategies might be specific to each tumor.
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