Journal
GENE
Volume 687, Issue -, Pages 47-55Publisher
ELSEVIER
DOI: 10.1016/j.gene.2018.11.020
Keywords
Laryngeal cancer; Data mining; Tumor marker; GEO; Bioinformatics
Categories
Funding
- Key Program of Hebei Provincial Natural Science Foundation [H2017206391]
- Project of Clinical Medical Talent Training and Basic Project Research - Government (Hebei finance society (2017)) [46]
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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 IncRNAs were verified by qRT-PCR method. Then, LINC00668, a potential carcinogenic IncRNA, 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.
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