A four-long non-coding RNA signature in predicting breast cancer survival.
A four-long non-coding RNA signature in predicting breast cancer survival.
复制标题
预测乳腺癌生存的四长非编码 RNA 特征。
DOI：
10.1186/s13046-014-0084-7
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发表时间：
2014-10-06
期刊：
影响因子：
--
通讯作者：
Fu S
中科院分区：
文献类型：
--
作者：
Meng J;Li P;Zhang Q;Yang Z;Fu S
许多长链非编码rna （lncrna）已被发现是几种肿瘤的良好标记物。使用lncRNA挖掘方法，我们旨在鉴定可以预测乳腺癌患者生存的lncRNA表达特征。我们对来自Gene expression Omnibus （GEO）数据集的887名乳腺癌患者进行了LncRNA表达谱分析。使用训练集（n = 327，来自GSE 20685）分析lncRNA特征与临床生存之间的关系。在另外三个独立的测试集（来自GSE21653的252个，来自GSE12276的204个，来自GSE42568的104个）中进行关联验证。通过随机生存森林算法鉴定出4个lncRNA基因（U79277, AK024118, BC040204, AK000974）。使用基于这些lncrna表达特征的风险评分，我们将患者分为低风险组和高风险组，在训练集中具有显著不同的生存时间。这一签名在其他三个队列中也得到了验证。进一步研究发现，这四种lncrna的表达特征与年龄和亚型无关。基因集富集分析（GSEA）表明，基因集参与了几种与肿瘤转移相关的途径。这些发现表明lncrna可能与乳腺癌的发病机制有关。四lncrna特征可能在选择高危患者进行辅助治疗方面具有临床意义。本文的在线版本（doi:10.1186/s13046-014-0084-7）包含补充材料，仅供授权用户使用。
Many long non-coding RNAs(lncRNAs) have been found to be a good marker for several tumors. Using lncRNA-mining approach, we aimed to identify lncRNA expression signature that can predict breast cancer patient survival. We performed LncRNA expression profiling in 887 breast cancer patients from Gene Expression Omnibus (GEO) datasets. The association between lncRNA signature and clinical survival was analyzed using the training set(n = 327, from GSE 20685). The validation for the association was performed in another three independent testing sets(252 from GSE21653, 204 from GSE12276, and 104 from GSE42568). A set of four lncRNA genes (U79277, AK024118, BC040204, AK000974) have been identified by the random survival forest algorithm. Using a risk score based on the expression signature of these lncRNAs, we separated the patients into low-risk and high-risk groups with significantly different survival times in the training set. This signature was validated in the other three cohorts. Further study revealed that the four-lncRNA expression signature was independent of age and subtype. Gene Set Enrichment Analysis (GSEA) suggested that gene sets were involved in several cancer metastasis related pathways. These findings indicate that lncRNAs may be implicated in breast cancer pathogenesis. The four-lncRNA signature may have clinical implications in the selection of high-risk patients for adjuvant therapy. The online version of this article (doi:10.1186/s13046-014-0084-7) contains supplementary material, which is available to authorized users.
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