title: Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation.
abstract: Dynamic susceptibility contrast-enhanced magnetic resonance imaging is routinely used to provide hemodynamic assessment of brain tumors as a diagnostic as well as a prognostic tool. Recently, it was shown that the relative cerebral blood volume (rCBV), obtained from the contrast-enhancing as well as -nonenhancing portion of glioblastoma (GBM), is strongly associated with overall survival. In this study, we aim to characterize the genomic correlates (microRNA, messenger RNA, and protein) of this vascular parameter. This study aims to provide a comprehensive radiogenomic and radioproteomic characterization of the hemodynamic phenotype of GBM using publicly available imaging and genomic data from the Cancer Genome Atlas GBM cohort. Based on this analysis, we identified pathways associated with angiogenesis and tumor proliferation underlying this hemodynamic parameter in GBM.
authors.affiliation: Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: Arvind
authors.initials: A
authors.lastname: Rao
authors.affiliation: Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: Ganiraju
authors.initials: G
authors.lastname: Manyam
authors.affiliation: Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: Ganesh
authors.initials: G
authors.lastname: Rao
authors.affiliation: Department of Radiology, NY University School of Medicine, New York, NY, USA.
authors.forename: Rajan
authors.initials: R
authors.lastname: Jain
keywords: angiogenesis; data integration; imaging-genomics; pathway analysis; perfusion imaging; rCBV