Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis

doi:10.1049/iet-syb.2016.0004

	Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis
	Bing, Zhi-Tong1 ; Yang, Guang-Hui 1,2; Xiong, Jie 3; Guo, Ling 4; Yang, Lei1
刊名	IET SYSTEMS BIOLOGY
	2016-12-01
卷号	10 页码:244-251
关键词	RNA molecular biophysics genetics cancer signature regulatory network glioblastoma prognosis mRNA coexpression analysis miRNA coexpression analysis glioblastoma multiforme brain tumour microRNAs pathogenesis genome-wide regulatory networks miRNA-mRNA pairs weighted gene coexpression network analysis survival analysis GBM prognosis integration analysis neuropilin-1 gene module turquoise molecular regulatory mechanisms
ISSN号	1751-8849
DOI	10.1049/iet-syb.2016.0004
英文摘要	Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor in adults. Patients with this disease have a poor prognosis. The objective of this study is to identify survival-related individual genes (or miRNAs) and miRNA -mRNA pairs in GBM using a multi-step approach. First, the weighted gene co-expression network analysis and survival analysis are applied to identify survival-related modules from mRNA and miRNA expression profiles, respectively. Subsequently, the role of individual genes (or miRNAs) within these modules in GBM prognosis are highlighted using survival analysis. Finally, the integration analysis of miRNA and mRNA expression as well as miRNA target prediction is used to identify survival-related miRNA -mRNA regulatory network. In this study, five genes and two miRNA modules that significantly correlated to patient's survival. In addition, many individual genes (or miRNAs) assigned to these modules were found to be closely linked with survival. For instance, increased expression of neuropilin-1 gene (a member of module turquoise) indicated poor prognosis for patients and a group of miRNA -mRNA regulatory networks that comprised 38 survival-related miRNA -mRNA pairs. These findings provide a new insight into the underlying molecular regulatory mechanisms of GBM.
WOS关键词	STEM-CELLS ; BRAIN-TUMORS ; PROBE LEVEL ; GLIOMA ; EXPRESSION ; PROLIFERATION ; CANCER ; HETEROGENEITY ; SURVIVAL ; PATHWAY
WOS研究方向	Cell Biology ; Mathematical & Computational Biology
语种	英语
出版者	INST ENGINEERING TECHNOLOGY-IET
WOS记录号	WOS:000389473600006
内容类型	期刊论文
源URL	[http://119.78.100.186/handle/113462/43832]
专题	中国科学院近代物理研究所
通讯作者	Yang, Lei
作者单位	1.Chinese Acad Sci, Inst Modern Phys, Dept Computat Phys, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Grad Sch, Dept Phys, Beijing 100049, Peoples R China 3.Hunan Normal Univ, Dept Internal Med, Coll Med, Changsha 410006, Hunan, Peoples R China 4.Northwest Univ National, Coll Elect Engn, Lanzhou 730030, Peoples R China
推荐引用方式 GB/T 7714	Bing, Zhi-Tong,Yang, Guang-Hui,Xiong, Jie,et al. Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis[J]. IET SYSTEMS BIOLOGY,2016,10:244-251.
APA	Bing, Zhi-Tong,Yang, Guang-Hui,Xiong, Jie,Guo, Ling,&Yang, Lei.(2016).Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis.IET SYSTEMS BIOLOGY,10,244-251.
MLA	Bing, Zhi-Tong,et al."Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis".IET SYSTEMS BIOLOGY 10(2016):244-251.