title: Discovering key regulatory mechanisms from single-factor and multi-factor regulations in glioblastoma utilizing multi-dimensional data.
abstract: Glioblastoma (GBM) is the most common malignant brain cancer in adults. Investigating the regulatory mechanisms underlying GBM is effective for the in-depth study of GBM. The Cancer Genome Atlas (TCGA) project is producing large-scale data and makes the comprehensive study of the diverse regulatory mechanisms underlying GBM possible. Although there have been research studies on GBM with large-scale data, distinguishing different regulatory mechanisms and identifying the key regulation types remain challenging. In this study, we integrated multi-dimensional data of differentially expressed genes in GBM: copy number variation (CNV), gene expression, miRNA expression and methylation, by performing partial correlation analysis with the Lasso technique. Our results showed that there were single-factor and multi-factor regulatory mechanisms in GBM. In further analysis of the regulation subtypes, we discovered that single-factor and multi-factor regulations are potentially distinct in functionality. Moreover, multi-factor regulations especially the key regulation subtypes may be more relevant to GBM and affect many GBM-related genes such as ERBB2 and MAPK1. This study not only verifies the utility of multi-dimensional data integration into GBM research but also distinguishes the key multi-factor regulatory subtypes that may drive pathogenesis of GBM from various regulatory mechanisms.
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, Hefei AH230027, People's Republic of China.
authors.forename: Chen
authors.initials: C
authors.lastname: Peng
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.forename: Mengqu
authors.initials: M
authors.lastname: Ge
authors.forename: Minghui
authors.initials: M
authors.lastname: Wang
authors.forename: Ao
authors.initials: A
authors.lastname: Li
mesh_terms: D019295:Computational Biology; D056915:DNA Copy Number Variations / Q000235:genetics*; D019175:DNA Methylation / Q000235:genetics; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D005909:Glioblastoma / Q000235:genetics* / Q000473:pathology; D006801:Humans; D035683:MicroRNAs / Q000096:biosynthesis* / Q000235:genetics; D009363:Neoplasm Proteins / Q000096:biosynthesis / Q000235:genetics; D011379:Prognosis; D015398:Signal Transduction / Q000235:genetics
chemical_list: D035683:MicroRNAs; D009363:Neoplasm Proteins