Journal of Radiation Research and Radiation Proces ›› 2017, Vol. 35 ›› Issue (2): 20203-020203.doi: 10.11889/j.1000-3436.2017.rrj.35.020203

• RADIOBIOLOGY AND RADIOMEDICINE • Previous Articles     Next Articles

Identification of differentially expressed long non-coding RNAs in irradiated A549 cells and analysis of lung cancer prognostic values by bioinformatics analysis

LI Wei, SHI Ke   

  1. Department of Geriatrics, Clinical Laboratory, Xiangya Hospital of Central South University, Changsha 410008, China
  • Received:2016-11-15 Revised:2017-01-06 Online:2017-04-20 Published:2017-04-14

Abstract:

To identify the key differentially expressed long non-coding RNAs in irradiated lung carcinoma A549 cells by bioinformatics analysis, the mRNA microarray dataset GSE24876 was downloaded from the Gene Expression Omnibus database and analyzed by GEO2R to obtain differentially expressed gene probes. Re-annotation of probes was performed for the differentially expressed genes using DAVID. In total, 33 differentially expressed lncRNAs were identified from GSE24876, which included 4 upregulated lncRNAs and 29 downregulated lncRNAs in irradiated A549 cells compared with non-irradiated A549 cells. The Gene-E software was then used to confirm the expression levels of the lncRNAs and the results were similar to those analyzed by GEO2R. Among them, high expression of LINC00319 (HR 1.21 [1.02~1.42], p=0.026) and LINC01095 (HR 1.18 [1.01~1.40], p=0.042) was associated with worse overall survival in lung cancer patients. However, further studies are needed to verify the results of this study.

Key words: Long non-coding RNA, Lung carcinoma, Irradiation, Gene microarray, Bioinformatics analysis

CLC Number: 

  • R81