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Expression profile analysis identifies the long non-coding RNA landscape and the potential carcinogenic functions of LINC00668 in laryngeal squamous cell carcinoma.

Authors :
Zhao, Lei
Cao, Huan
Chi, Weiwei
Meng, Wenxia
Cui, Weina
Guo, Wei
Wang, Baoshan
Source :
Gene. Mar2019, Vol. 687, p47-55. 9p.
Publication Year :
2019

Abstract

Abstract In order to explore the differentially expressed long non-coding RNAs (lncRNAs) in laryngeal squamous cell carcinoma (LSCC), the GSE84957 lncRNA expression profile was included in the present study through data mining in the National Center for Biotechnology Information/Gene Expression Omnibus (NCBI/GEO). Then, the differentially expressed genes (DEGs) of LSCC (1646 lncRNAs and 2713 mRNAs, fold change ≥ 2, P ≤ 0.05) were identified from the GSE84957 dataset using bioinformatics analysis. Of the 10 selected differentially expressed lncRNAs, the expression of 7 lncRNAs were verified by qRT-PCR method. Then, LINC00668 , a potential carcinogenic lncRNA, was screened out by narrowing down the screening criteria (fold change ≥ 4, P ≤ 0.01). Furthermore, correlation analysis demonstrated that expression levels of LINC00668 were associated with age, pathological differentiation degree, T stage, clinical stage and cervical lymph node metastasis. Moreover, a series of bioinformatics tools and in vitro experiments proved that knockdown of LINC00668 inhibited the proliferation, migration and invasion ability of LSCC cells. The present study identified the lncRNAs landscape of LSCC through data mining and bioinformatics analysis, and verified oncogenic LINC00668 , which may play important roles in promoting LSCC cells proliferation, migration and invasion. Highlights • This study identified the lncRNAs landscape of LSCC through data mining. • LINC00668 as an oncogene was screened out through data mining and bioinformatics. • Expression levels of LINC00668 were associated with some clinicopathological features. • Knockdown of LINC00668 could suppress proliferation, migration and invasion of cells. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781119
Volume :
687
Database :
Academic Search Index
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
133952590
Full Text :
https://doi.org/10.1016/j.gene.2018.11.020