The overall goal is to integrate advances in technological development of physiologic neuro-imaging and tissue biomarkers in the management of patients with brain tumors and to translate this knowledge to optimize treatment. Malignant glioma is a significant clinical challenge and much effort is expended in the development of new therapeutic strategies. Although radiation therapy (XRT) prolongs survival for glioblastoma multiforme (GBM), about 30 percent of patients progress during the course of XRT and have a poor prognosis. Project 1 will study the potential of metabolic and physiologic imaging and tissue correlates to identify these patients prior to initiation of therapy and to integrate this knowledge in an individualized treatment paradigm. Patients with GBM universally progress and these recurrent tumors are heterogeneous in their behavior. Apart from patient-related prognostic factors (age and performance status), there are no biological predictors of outcome. Project 2 will study the non-invasive physiologic and metabolic parameters with tissue correlates to better understand tumor heterogeneity and biological behavior. This information should have a major impact on the selection of patients for clinical trials and the design and interpretation of results. If the physiologic imaging parameters are indeed representative of biological behavior such as angiogenesis or invasive capacity, this will have significant application in the evaluation of novel targeted therapies. New therapeutic approaches involve the interstitial delivery of agents into tumor-infiltrated brain parenchyma. Determining the extent and nature of the invasive component of infiltrative tumor is limited with standard imaging. Project 3 will study the non-invasive real-time imaging of interstitial administration of agents in animals and non-human primates to define the target for infusion and optimize delivery of therapeutic agents. The Clinical Services Core and Imaging and Tissue Correlate Core will provide services to all projects to centralize the effort for efficient and integrated management of this program project grant. ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA118816-02
Application #
7488992
Study Section
Special Emphasis Panel (ZCA1-GRB-P (M1))
Program Officer
Menkens, Anne E
Project Start
2007-08-27
Project End
2012-06-30
Budget Start
2008-07-28
Budget End
2009-06-30
Support Year
2
Fiscal Year
2008
Total Cost
$2,188,358
Indirect Cost
Name
University of California San Francisco
Department
Neurosurgery
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Park, Ilwoo; Larson, Peder E Z; Gordon, Jeremy W et al. (2018) Development of methods and feasibility of using hyperpolarized carbon-13 imaging data for evaluating brain metabolism in patient studies. Magn Reson Med 80:864-873
Hayes, Josie; Yu, Yao; Jalbert, Llewellyn E et al. (2018) Genomic analysis of the origins and evolution of multicentric diffuse lower-grade gliomas. Neuro Oncol 20:632-641
Mancini, Andrew; Xavier-Magalhães, Ana; Woods, Wendy S et al. (2018) Disruption of the ?1L Isoform of GABP Reverses Glioblastoma Replicative Immortality in a TERT Promoter Mutation-Dependent Manner. Cancer Cell 34:513-528.e8
Vareth, Maryam; Lupo, Janine; Larson, Peder et al. (2018) A comparison of coil combination strategies in 3D multi-channel MRSI reconstruction for patients with brain tumors. NMR Biomed 31:e3929
Li, Yan; Lafontaine, Marisa; Chang, Susan et al. (2018) Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma. ACS Chem Neurosci 9:130-137
Gordon, Jeremy W; Chen, Hsin-Yu; Autry, Adam et al. (2018) Translation of Carbon-13 EPI for hyperpolarized MR molecular imaging of prostate and brain cancer patients. Magn Reson Med :
Choi, Serah; Yu, Yao; Grimmer, Matthew R et al. (2018) Temozolomide-associated hypermutation in gliomas. Neuro Oncol 20:1300-1309
Zhang, Chenan; de Smith, Adam J; Smirnov, Ivan V et al. (2017) Non-additive and epistatic effects of HLA polymorphisms contributing to risk of adult glioma. J Neurooncol 135:237-244
Autry, Adam; Phillips, Joanna J; Maleschlijski, Stojan et al. (2017) Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing Tumor. Transl Oncol 10:895-903
Anwar, Mekhail; Molinaro, Annette M; Morin, Olivier et al. (2017) Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI. Radiat Res 188:303-313

Showing the most recent 10 out of 75 publications