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Genome-scale long noncoding RNA expression pattern in squamous cell lung cancer

Authors :
Xiang-Ping Li
Yi Zheng
Yi-Lan Fu
Zhao-Qian Liu
Hui Zhou
Ying Wang
Juan Chen
Lin Xiao
Chen-Yue Qian
Rong-Rong Liu
Xiao-Jing Xu
Zi-Yu Chen
Cheng-Cheng Ye
Hui-Juan He
Ji-Ye Yin
Wei Zhang
Jing-jing Wang
Yu Zhang
Xiang Chen
Hong-Hao Zhou
Jia-Jia Cui
Source :
Scientific Reports
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

In this study, we aimed to explore the long noncoding RNA expression pattern in squamous cell lung cancer (SQCC) on a genome-wide scale. Total RNAs were extracted from 16 lung SQCC patients’ normal and matched lung cancer tissues by Trizol reagent. The expression level of genome-wide scale lncRNA and mRNA was determined by microarray. qRT-PCR was used to validate the lncRNA expression level in 47 patients. Data analyses were performed using R and Bioconductor. A total of 2,748 up and 852 down regulated probes were identified to be significantly and differentially expressed in tumor tissues. The annotation result of their co-expressed mRNAs showed that the most significantly related category of GO analysis was development and differentiation, while the most significantly related pathway was cell cycle. Subgroup analysis identified that 46 and 18 probes were specifically differentially expressed in smoking and moderately differentiated tumors, respectively. Our study indicated that clusters of lncRNAs were significantly and differentially expressed in SQCC compared with normal tissues in the same subject. They may exert a significant role in lung cancer development and could be potential targets for future treatment of SQCC.

Details

ISSN :
20452322
Volume :
5
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....6040137d24a29f0ef35a4e6b552c7ceb
Full Text :
https://doi.org/10.1038/srep11671