A three-lncRNA expression signature associated with the prognosis of gastric cancer patients.
A three-lncRNA expression signature associated with the prognosis of gastric cancer patients.
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与胃癌患者预后相关的三个lncRNA表达特征
DOI：
10.1002/cam4.1047
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发表时间：
2017-06
期刊：
影响因子：
4
通讯作者：
Guan W
中科院分区：
文献类型：
--
作者：
Song P;Jiang B;Liu Z;Ding J;Liu S;Guan W
长链非编码RNA（lncRNA）已成为基因调控的重要参与者。越来越多的lncRNA被发现与胃癌（GC）的生物发生和预后相关。我们的目的是开发一种lncRNA标记，其对GC的生存结局具有预后价值。使用lncRNA挖掘方法，我们分析了来自基因表达综合库（GEO）的492名GC患者的lncRNA表达谱，该基因表达综合库由GSE 62254集（N = 300）和GSE 15459集（N = 192）组成。评估lncRNA表达与生存结局之间的关系。一组三种lncRNA（LINC 01140、TGFB 2-OT 1和RP 11 - 347C12.10）与总生存期显著相关。然后将这些lncRNA组合以形成单个预后标记。基于这三种lncRNA表达特征，GSE 62254组中的患者被分为高风险和低风险亚组，其总生存期（风险比[HR] = 1.93，P < 0.001）和无病生存期（HR = 1.91，P < 0.001）显著不同。在GSE 15459组中证实了该lncRNA特征的预后价值的良好再现性。进一步的分析表明，该特征的预后价值与某些临床特征无关。基因集富集分析表明，高风险评分与癌症转移的几种分子途径呈正相关。我们的研究结果表明，这种创新的lncRNA表达签名可能是一个有用的生物标志物与GC患者的预后基于生物信息学分析。
Long noncoding RNAs (lncRNAs) have emerged as essential players in gene regulation. An ever‐increasing number of lncRNAs has been found to be associated with the biogenesis and prognosis of gastric cancer (GC). We aimed to develop an lncRNA signature with prognostic value for survival outcomes of GC. Using an lncRNA mining approach, we analyzed the lncRNA expression profiles of 492 GC patients from the Gene Expression Omnibus (GEO), which consisted of the GSE62254 set (N = 300) and the GSE15459 set (N = 192). The associations between the lncRNAs’ expression and survival outcome were evaluated. A set of three lncRNAs (LINC01140, TGFB2‐OT1, and RP11‐347C12.10) was identified to significantly correlate with overall survival. These lncRNAs were then combined to form a single prognostic signature. Based on this three‐lncRNA expression signature, patients in the GSE62254 set were classified into high‐ and low‐risk subgroups with significantly different overall survival (hazard ratio [HR] = 1.93, P < 0.001) and disease‐free survival (HR = 1.91, P < 0.001). Good reproducibility for the prognostic value of this lncRNA signature was confirmed in the GSE15459 set. Further analysis showed that the prognostic value of this signature was independent of some clinical characteristics. Gene set enrichment analysis indicated that high‐risk scores positively related to several molecular pathways of cancer metastasis. Our results suggest that this innovative lncRNA expression signature may be a useful biomarker for the prognosis of patients with GC based on bioinformatics analysis.