Literature DB >> 30415008

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

Lei Zhao1, Huan Cao2, Weiwei Chi3, Wenxia Meng2, Weina Cui2, Wei Guo4, Baoshan Wang5.   

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.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Data mining; GEO; Laryngeal cancer; Tumor marker

Mesh:

Substances:

Year:  2018        PMID: 30415008     DOI: 10.1016/j.gene.2018.11.020

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  7 in total

1.  Genome‑wide investigation of the clinical implications and molecular mechanism of long noncoding RNA LINC00668 and protein‑coding genes in hepatocellular carcinoma.

Authors:  Xiangkun Wang; Xin Zhou; Junqi Liu; Zhengqian Liu; Linbo Zhang; Yizhen Gong; Jianlu Huang; Long Yu; Qiaoqi Wang; Chengkun Yang; Xiwen Liao; Tingdong Yu; Chuangye Han; Guangzhi Zhu; Xinping Ye; Tao Peng
Journal:  Int J Oncol       Date:  2019-08-14       Impact factor: 5.650

2.  7-lncRNA Assessment Model for Monitoring and Prognosis of Breast Cancer Patients: Based on Cox Regression and Co-expression Analysis.

Authors:  Huayao Li; Chundi Gao; Lijuan Liu; Jing Zhuang; Jing Yang; Cun Liu; Chao Zhou; Fubin Feng; Changgang Sun
Journal:  Front Oncol       Date:  2019-12-03       Impact factor: 6.244

3.  Clinical significance and potential mechanisms of miR-223-3p and miR-204-5p in squamous cell carcinoma of head and neck: a study based on TCGA and GEO.

Authors:  Lei Zhao; Congzhe Tian; Erbin Xiao; Jinduo Du; Jingwei Liang; Xianghong Chen; Weiwei Chi
Journal:  Open Med (Wars)       Date:  2020-08-03

4.  Genome-Wide Analysis of the Expression of Circular RNA Full-Length Transcripts and Construction of the circRNA-miRNA-mRNA Network in Cervical Cancer.

Authors:  Tianyi Xu; Xiaofeng Song; Yulan Wang; Shilong Fu; Ping Han
Journal:  Front Cell Dev Biol       Date:  2020-11-24

5.  [LINC00668 is Highly Expressed in Lung Squamous Cell Carcinoma and 
Promotes Tumor Cell Migration and Invasion].

Authors:  Bo Yuan; Yang Chen; Jingyan Yuan; Lizhong Zeng; Shuanying Yang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-04-20

6.  Long non-coding RNA-based signature for predicting prognosis of hepatocellular carcinoma.

Authors:  Jie Cao; Lili Wu; Xin Lei; Keqing Shi; Liang Shi; Yifen Shi
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

7.  A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma.

Authors:  Jie Cui; Qingquan Wen; Xiaojun Tan; Zhen Chen; Genglong Liu
Journal:  Dis Markers       Date:  2019-11-20       Impact factor: 3.434

  7 in total

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