Brief Article
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Jun 21, 2013; 19(23): 3658-3664
Published online Jun 21, 2013. doi: 10.3748/wjg.v19.i23.3658
Analysis of long non-coding RNA expression profiles in gastric cancer
Wei-Jun Cao, Hai-Lu Wu, Bang-Shun He, Yu-Shu Zhang, Zhen-Yu Zhang
Wei-Jun Cao, Hai-Lu Wu, Yu-Shu Zhang, Zhen-Yu Zhang, Department of Gastroenterology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, Jiangsu Province, China
Bang-Shun He, Central Laboratory, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, Jiangsu Province, China
Author contributions: Cao WJ designed the study; Cao WJ, Wu HL, He BS and Zhang YS performed the data analysis; Cao WJ and Wu HL wrote the manuscript; Zhang ZY revised and approved the manuscript.
Correspondence to: Dr. Zhen-Yu Zhang, Department of Gastroenterology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, Jiangsu Province, China. zhangzhenyu808@126.com
Telephone: +86-25-87726249 Fax: +86-25-87726249
Received: January 22, 2013
Revised: March 20, 2013
Accepted: May 9, 2013
Published online: June 21, 2013
Processing time: 149 Days and 14.8 Hours
Abstract

AIM: To investigate the expression patterns of long non-coding RNAs (lncRNAs) in gastric cancer.

METHODS: Two publicly available human exon arrays for gastric cancer and data for the corresponding normal tissue were downloaded from the Gene Expression Omnibus (GEO). We re-annotated the probes of the human exon arrays and retained the probes uniquely mapping to lncRNAs at the gene level. LncRNA expression profiles were generated by using robust multi-array average method in affymetrix power tools. The normalized data were then analyzed with a Bioconductor package linear models for microarray data and genes with adjusted P-values below 0.01 were considered differentially expressed. An independent data set was used to validate the results.

RESULTS: With the computational pipeline established to re-annotate over 6.5 million probes of the Affymetrix Human Exon 1.0 ST array, we identified 136053 probes uniquely mapping to lncRNAs at the gene level. These probes correspond to 9294 lncRNAs, covering nearly 76% of the GENCODE lncRNA data set. By analyzing GSE27342 consisting of 80 paired gastric cancer and normal adjacent tissue samples, we identified 88 lncRNAs that were differentially expressed in gastric cancer, some of which have been reported to play a role in cancer, such as LINC00152, taurine upregulated 1, urothelial cancer associated 1, Pvt1 oncogene, small nucleolar RNA host gene 1 and LINC00261. In the validation data set GSE33335, 59% of these differentially expressed lncRNAs showed significant expression changes (adjusted P-value < 0.01) with the same direction.

CONCLUSION: We identified a set of lncRNAs differentially expressed in gastric cancer, providing useful information for discovery of new biomarkers and therapeutic targets in gastric cancer.

Keywords: Long non-coding RNA; Gastric cancer; Microarray analysis; Data mining

Core tip: Long non-coding RNAs (lncRNAs) have risen to prominence with important roles in a broad range of biological processes. LncRNA expression patterns and their biological functions in gastric cancer still remain unknown. We re-annotated the probes from an Affymetrix Human Exon 1.0 ST array and identified probes uniquely mapping to lncRNAs at the gene level. These probes correspond to 9294 lncRNAs, covering nearly 76% of the GENCODE lncRNA data set. We identified a set of lncRNAs that were differentially expressed in gastric cancer. In an independent data set, 59% of these differentially expressed lncRNAs showed significant expression changes with the same direction.