Comparative genomic and genetic analysis of glioblastoma-derived brain tumor-initiating cells and their parent tumors. Issue 3 (5th August 2015)

• Record Type: Journal Article
• Authors: Davis, Brad; Shen, Yaoqing; Poon, Candice C.; Luchman, H. Artee; Stechishin, Owen D.; Pontifex, Carly S.; Wu, Wei; Kelly, John J.; Blough, Michael D.; Cairncross, Gregory; Weiss, Samuel; Robbins, Stephen; Senger, Donna; Chan, Jennifer; Luchman, Artee; Blough, Michael; Marra, Marco; Jones, Stephen; Shen, Yaoqing; Bose, Pinaki; Lever, Jake; Kaplan, David; Grinshtein, Nathalie; Al-Awar, Rima; Euhling, David; Aman, Ahmed; Singh, Sheila; Mason, Warren; Seymour, Lesley
• Is Part Of: Neuro-oncology. Volume 18:Issue 3(2016:Mar.)
• Page Start: 350
• Page End: 360
• Publication Date: 2015-08-05
• Subjects: brain tumor-initiating cells -- copy number variation -- genetic analyses -- genomic analyses -- glioblastoma; Brain Neoplasms -- Periodicals; Brain -- Tumors -- Periodicals; Brain -- Cancer -- Periodicals; Nervous system -- Cancer -- Periodicals; 616.99481
• DOI: 10.1093/neuonc/nov143
• Languages: English
• ISSNs: 1522-8517

Abstract

Abstract: Background: Glioblastoma (GBM) is a fatal cancer that has eluded major therapeutic advances. Failure to make progress may reflect the absence of a human GBM model that could be used to test compounds for anti-GBM activity. In this respect, the development of brain tumor-initiating cell (BTIC) cultures is a step forward because BTICs appear to capture the molecular diversity of GBM better than traditional glioma cell lines. Here, we perform a comparative genomic and genetic analysis of BTICs and their parent tumors as preliminary evaluation of the BTIC model. Methods: We assessed single nucleotide polymorphisms (SNPs), genome-wide copy number variations (CNVs), gene expression patterns, and molecular subtypes of 11 established BTIC lines and matched parent tumors. Results: Although CNV differences were noted, BTICs retained the major genomic alterations characteristic of GBM. SNP patterns were similar between BTICs and tumors. Importantly, recurring SNP or CNV alterations specific to BTICs were not seen. Comparative gene expression analysis and molecular subtyping revealed differences between BTICs and GBMs. These differences formed the basis of a 63-gene expression signature that distinguished cells from tumors; differentially expressed genes primarily involved metabolic processes. We also derived a set of 73 similarly expressed genes; these genes were not associated with specific biological functions. Conclusions: Although not identical, established BTIC lines preserve the core molecular alterations seen in their parent tumors, as well as the genomic hallmarks of GBM, without acquiring recurring BTIC-specific changes.