Primary GBM, accounting for over 90% of human GBMs, develops rapidly or de novo with no prior clinical disease. Large-scale genomic analyses have contributed greatly to the definition of the overall glioma landscape and datasets (TCGA) have enabled the division of GBMs into subclasses based on their genomic, transcriptomic, and signal transduction patterns. Sadly, despite these insights into the genetics of the disease and advances in neurosurgery, radiation and chemotherapy, its dismal prognosis has not changed significantly. Unlike secondary GBM, the order and the timing of the genetic alterations that are acquired remain to be elucidated in primary GBM, and more importantly, how these acquired genetic alterations contribute to aggressive and malignant phenotypes in this devastating disease aren't well understood. Project 2 will utilize the p53'^^^'(R) model which mimics the pathogenesis of adult onset primary GBM with a high degree of nuclear atypia even in the earliest stages of gliomagenesis. The working hypothesis is that the eariiest lesion most likely comprises a small number of oncogenic mutations or amplifications that enables the targeted cell(s) to proliferate beyond normal means. Enhanced proliferation in conjunction with mutations that increase genomic instability may lead to further genomic lesions, including loss of tumor suppressor genes (e.g. Pten), further amplifying proliferation.
In Specific Aim 1, we will test the hypothesis that p53 deficiency facilitates the accumulation of critical genetic alterations in the SVZ stem/progenitor cells leading to clonal expansion and primary GBM formation. Acquisition of genetic alterations such as loss of chromosome 19 (harboring Pten) leads to rapid growth and GBM progression.
Specific Aim 2 will monitor the response of these evolving tumors to standard of care chemo/radiation therapy, with the goal of defining genetic alterations that result in resistance to therapy, a common feature of GBM.
Specific Aim 3 will test the hypothesis that the early stages of gliomagenesis represent the best therapeutic opportunities due to a more limited heterogeneity of clones. The presence of heterogeneous clones within a lesion leads to tumor adaptivity and recurrence an important contributor to therapeutic resistance in glioma. Due to the ability of MRI-PRM (developed in Project 3) to detect areas within the brain that will later develop a contrast enhancing lesion, we will use MRI to identify early genetic alterations in gliomagenesis through precise stereotaxic biopsy of early stage tumors for genomic analysis. We predict that targeted inhibition of key glioma-initiating signaling pathways will significantly enhance outcomes (survival) by preventing recurrence.

Public Health Relevance

The proposed studies are based on the understanding that glioblastoma is the result of multiple pathway defects originating in multiple cells that evolves into the same disease. Through the use of a mouse model that develops glioblastoma that is heterogenous, we will decipher genetic changes that occur early in the disease and those that result in aggressive, fast growing disease. We will also investigate genetic changes that result in resistance to current therapies and investigate if targeted inhibition of genetic pathways early in the disease process results in improved outcomes.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
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Special Emphasis Panel (ZCA1-RPRB-W)
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University of Michigan Ann Arbor
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Galbán, C J; Hoff, B A; Chenevert, T L et al. (2016) Diffusion MRI in early cancer therapeutic response assessment. NMR Biomed :
Chen, Daiqin; Dougherty, Casey A; Yang, Dongzhi et al. (2016) Radioactive Nanomaterials for Multimodality Imaging. Tomography 2:3-16
Masch, William R; Wang, Page I; Chenevert, Thomas L et al. (2016) Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis. Acad Radiol 23:569-76
Van Dort, Marcian E; Hong, Hao; Wang, Hanxiao et al. (2016) Discovery of Bifunctional Oncogenic Target Inhibitors against Allosteric Mitogen-Activated Protein Kinase (MEK1) and Phosphatidylinositol 3-Kinase (PI3K). J Med Chem 59:2512-22
Ross, Brian D (2016) Demonstration of an Inline Publication Image Viewer: The Future of Radiological Publishing. Tomography 2:1-2
Aryal, Madhava P; Chenevert, Thomas L; Cao, Yue (2016) Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI. NMR Biomed 29:411-9
Nyati, Shyam; Chator, Areeb; Schinske, Katerina et al. (2016) A Requirement for ZAK Kinase Activity in Canonical TGF-β Signaling. Transl Oncol 9:473-481
Ceccarelli, Michele; Barthel, Floris P; Malta, Tathiane M et al. (2016) Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma. Cell 164:550-63
Tang, Ming; Verhaak, Roel Gw (2016) A Molecular Take on Malignant Rhabdoid Tumors. Trends Cancer 2:217-218
Lemasson, Benjamin; Wang, Hanxiao; Galbán, Stefanie et al. (2016) Evaluation of Concurrent Radiation, Temozolomide and ABT-888 Treatment Followed by Maintenance Therapy with Temozolomide and ABT-888 in a Genetically Engineered Glioblastoma Mouse Model. Neoplasia 18:82-9

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