Research Papers:
Systemic analysis of lncRNA and miRNA expression profiles with associated ceRNA network in glioblastoma
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Hu Sun1,2, Xinhua Liu3, Wei Song4 and Yugong Feng1
1Department of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266003, China
2Department of Neurosurgery, Zibo Central Hospital, Zibo, Shandong, 255036, China
3School of Biomedical Engineering, Tianjin Medical University, Tianjin, 300070, China
4Health examination center, Zibo Central Hospital, Zibo, Shandong, 255036, China
Correspondence to:
Yugong Feng, email: [email protected]
Keywords: ceRNA network; glioblastoma; lncRNA; TCGA
Received: June 28, 2017 Accepted: December 01, 2017 Published: January 10, 2018
ABSTRACT
Glioblastoma (GBM) is the most common malignant brain tumor with high morbidity and mortality. Long and small non-coding RNA, i.e. lncRNA and miRNA in this study, play important roles in progression of complex diseases and competes with each other when regulate expression of mRNA. In this study, we conducted systemic analysis of high-throughput gene sequencing and microarray datasets to explore expression regulation patterns in GBM. Differential expression mRNAs, lncRNAs and miRNAs were obtained through comprehensively comparinged their expression profiles between GBM and adjacent non-tumor tissues. As a result, a total of 28 lncRNAs were found to be aberrantly expressed (|log2 (fold change)| > 1, corrected p-value < 0.01) and six out of them were significantly associated with GBM prognosis. The expression changes of the six lncRNAs were further validated through quantative PCR analysis. Finally, lncRNA mediated competition endogenous (ceRNA) network was constructed, which should be helpful for the understanding of lncRNA mediated ceRNA network and identification of prognosis biomarker for GBM.