Comprehensive analysis of lncRNA-TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF-mediated ceRNA network

doi:10.1002/jcb.29321

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Comprehensive analysis of lncRNA-TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF-mediated ceRNA network
	Ji, Yang 1; Gu, Yaqin 1; Hong, Shuai 2; Yu, Bo 2; Zhang, Jian-Hua 3; Liu, Jin-Na 2
刊名	JOURNAL OF CELLULAR BIOCHEMISTRY
	2019-09-03
页码	13
关键词	ceRNA networks core lncRNA-TF crosstalks glioblastoma survival biomarkers
ISSN号	0730-2312
DOI	10.1002/jcb.29321
英文摘要	Glioblastoma (GBM) has become the most aggressive primary brain tumor in the world. Patients with GBM usually have a poor prognosis. The median survival times of GBM patients retain less than 2 years. Thus, it is urgent to investigate the molecular mechanism of GBM. Recently, studies have demonstrated that transcription factors (TFs) participate in cancer pathology by regulating long noncoding RNAs (lncRNAs). However, the functional and regulatory roles of TF-lncRNA crosstalks are still unclear. In this study, we constructed a global lncRNA-TF network (GLTN) based on competing endogenous RNA. As a result, some topological features of GLTN were identified. A known GBM lncRNA MCM3AP-AS1 showed multiple central topological features in GLTN. Furthermore, we identified hub genes and extracted the hub-hub pairs from GLTN to form a hub associated lncRNA-TF network (HALTN). Results showed that a risk model combined with multiple hubs had a significant effect on prognosis. Additionally, we performed module searching and two functional modules from HALTN were identified, which were confirmed as risk factors of GBM. More importantly, we also identified some core lncRNA-TF crosstalks that might form feedback loops to control the biological processes in GBM. Our results demonstrated that the synergistic, competitive lncRNA-TF crosstalks played an important role in pathological processes of GBM, and had strong effect on prognosis. All these results can help us to uncover the molecular mechanism and provide a new therapeutic target for GBM.
WOS研究方向	Biochemistry & Molecular Biology ; Cell Biology
语种	英语
出版者	WILEY
WOS记录号	WOS:000484860600001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/4727]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Jian-Hua; Liu, Jin-Na
作者单位	1.Jiangsu Vocat Coll Med, Dept Med Technol, 283 Jiefangnan Rd, Yangcheng 224005, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, State Key Lab Comp Architecture, Beijing 100080, Peoples R China 3.Peking Univ, Dept Blood Transfus, Peoples Hosp, Beijing 100000, Peoples R China
推荐引用方式 GB/T 7714	Ji, Yang,Gu, Yaqin,Hong, Shuai,et al. Comprehensive analysis of lncRNA-TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF-mediated ceRNA network[J]. JOURNAL OF CELLULAR BIOCHEMISTRY,2019:13.
APA	Ji, Yang,Gu, Yaqin,Hong, Shuai,Yu, Bo,Zhang, Jian-Hua,&Liu, Jin-Na.(2019).Comprehensive analysis of lncRNA-TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF-mediated ceRNA network.JOURNAL OF CELLULAR BIOCHEMISTRY,13.
MLA	Ji, Yang,et al."Comprehensive analysis of lncRNA-TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF-mediated ceRNA network".JOURNAL OF CELLULAR BIOCHEMISTRY (2019):13.