title: Genomics of brain tumor imaging.
abstract: Imaging genomics combines imaging-defined phenotypes with molecular determinants of disease. Recent studies have examined the relationship between MRI-derived feature sets and gene expression in gliomas, including glioblastoma (GBM). Several groups have identified correlations between the expression of particular molecularly defined oncogenic pathways in GBM and malignant phenotypes on MRI. The combination of clinical, genetic, and imaging data has improved prognostic modeling and has identified potential therapeutic targets. Many challenges remain in fully leveraging the associations between such large datasets, but even current methodology shows promise in helping to craft individually tailored treatments to patients with brain tumors and other diseases.
authors.affiliation: Department of Radiological Sciences, David Geffen School of Medicine at UCLA, 757 Westwood Plaza, 1621E, Los Angeles, CA 90095, USA. Electronic address: wpope@mednet.ucla.edu.
authors.forename: Whitney B
authors.initials: WB
authors.lastname: Pope
mesh_terms: D001921:Brain / Q000473:pathology*; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*
keywords: Bioinformatics; Glioblastoma; Glioma; Imaging genomics; Microarray; Radiogenomics