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Published in: Molecular Cancer 1/2016

Open Access 01-12-2016 | Research

A long non-coding RNA signature to improve prognosis prediction of gastric cancer

Authors: Xiaoqiang Zhu, Xianglong Tian, Chenyang Yu, Chaoqin Shen, Tingting Yan, Jie Hong, Zheng Wang, Jing-Yuan Fang, Haoyan Chen

Published in: Molecular Cancer | Issue 1/2016

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Abstract

Background

Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed at developing alncRNA signature to improve prognosis prediction of gastric cancer (GC).

Methods

Using a lncRNA-mining approach, we performed lncRNA expression profiling in large GC cohorts from Gene Expression Ominus (GEO), including GSE62254 data set (N = 300) and GSE15459 data set (N = 192). We established a set of 24-lncRNAs that were significantly associated with the disease free survival (DFS) in the test series.

Results

Based on this 24-lncRNA signature, the test series patients could be classified into high-risk or low-risk subgroup with significantly different DFS (HR = 1.19, 95 % CI = 1.13–1.25, P < 0.0001). The prognostic value of this 24-lncRNA signature was confirmed in the internal validation series and another external validation series, respectively. Further analysis revealed that the prognostic value of this signature was independent of lymph node ratio (LNR) and postoperative chemotherapy. Gene set enrichment analysis (GSEA) indicated that high risk score group was associated with several cancer recurrence and metastasis associated pathways.

Conclusions

The identification of the prognostic lncRNAs indicates the potential roles of lncRNAs in GC biogenesis. Our results may provide an efficient classification tool for clinical prognosis evaluation of GC.
Appendix
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Metadata
Title
A long non-coding RNA signature to improve prognosis prediction of gastric cancer
Authors
Xiaoqiang Zhu
Xianglong Tian
Chenyang Yu
Chaoqin Shen
Tingting Yan
Jie Hong
Zheng Wang
Jing-Yuan Fang
Haoyan Chen
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Molecular Cancer / Issue 1/2016
Electronic ISSN: 1476-4598
DOI
https://doi.org/10.1186/s12943-016-0544-0

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