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

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?

SUBMITTER: Zhu X

PROVIDER: S-EPMC5029104 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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

Zhu Xiaoqiang X Tian Xianglong X Yu Chenyang C Shen Chaoqin C Yan Tingting T Hong Jie J Wang Zheng Z Fang Jing-Yuan JY Chen Haoyan H

Molecular cancer 20160920 1

<h4>Background</h4>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).<h4>Methods</h4>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 ...[more]

PMID: 27647437

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