A genome-wide analysis of long noncoding RNA profile identifies differentially expressed lncRNAs associated with Esophageal cancer.

Abstract

Esophageal cancer is one of the most common cancers and a leading cause of cancer-related death worldwide. However, the mechanism of esophageal cancer pathogenesis remains poorly understood. Long noncoding RNAs (lncRNAs) dysregulation have been reported to involve in various human cancers, which highlights the potential of lncRNAs used as novel biomarkers for cancer diagnosis. Although more efforts have been made to identify novel lncRNAs signature in esophageal cancer, the expression pattern, prognostic value, and biological function of most lncRNAs in esophageal cancer still need to be systematically investigated. In this study, we comprehensively analyzed the expression profile of lncRNAs in more than 200 esophageal cancer patients tissue samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). We identified thousands of lncRNAs are differentially expressed in esophageal cancer tissues, and many of those lncRNAs expression are associated with patients overall survival or recurrence-free survival time. Moreover, copy number variation analyses revealed that genomic loci copy number amplification or deletion might contribute to these lncRNAs dysregulation. Among these lncRNAs, DUXAP8 and LINC00460 were significantly upregulated, and GO enrichment analyses indicated that the two lncRNAs associated protein-coding genes involve with many known biological processes, such as cell cycle and cell-cell adherens junction. Further experimental validation revealed that knockdown of DUXAP8 could impair esophageal cancer cells proliferation and invasion in vitro. Taken together, our findings identified more aberrantly expressed lncRNAs in esophageal cancer that may provide a useful resource for identifying novel esophageal cancer associated lncRNAs.

• Authors: Wenjia Liu, Yiyang Zhang, Min Chen, Liangliang Shi, Lei Xu, Xiaoping Zou
• Journal: Cancer medicine (Cancer Med) Vol. 7 Issue 8 Pg. 4181-4189 (08 2018) ISSN: 2045-7634 [Electronic] United States
• PMID: 29926523 (Publication Type: Journal Article)
• Copyright: © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Chemical References

• Biomarkers, Tumor
• RNA, Long Noncoding

Topics

• Biomarkers, Tumor
• Computational Biology (methods)
• DNA Copy Number Variations
• Databases, Genetic
• Esophageal Neoplasms (genetics, mortality, pathology)
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Gene Knockdown Techniques
• Genome-Wide Association Study (methods)
• Humans
• Kaplan-Meier Estimate
• Prognosis
• RNA, Long Noncoding