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一个用于结直肠癌患者预后评估的 8 号长非编码 RNA 表达特征。

An eight-long noncoding RNA expression signature for colorectal cancer patients' prognosis.

机构信息

Department of Anal and Intestinal Surgery, Tianjin Union Medical Center, Tianjin, China.

出版信息

J Cell Biochem. 2019 Apr;120(4):5636-5643. doi: 10.1002/jcb.27847. Epub 2018 Oct 15.

Abstract

Long noncoding RNAs (lncRNAs) have recently emerged as important biomarkers of cancer progression. Here, we proposed to develop a lncRNA-based signature with a prognostic value for colorectal cancer (CRC) overall survival (OS). Through mining microarray datasets, we analyzed the lncRNA expression profiles of 122 patients with CRC from Gene Expression Omnibus. Associations between lncRNA and CRC OS were firstly evaluated through univariate Cox regression analysis. A random survival forest method was applied for further screening of the lncRNA signature, which resulted in eight lncRNAs, including PEG3-AS1, LOC100505715, MINCR, DBH-AS1, LINC00664, FAM224A, LOC642852, and LINC00662. Combination of the eight lncRNAs weighted by their multivariate Cox regression coefficients formed a prognostic signature, through which, we could divide the 122 patients with CRC into two subgroups with significantly different OS. Good robustness of the lncRNA signature's prognostic value was verified through an independent data set consisting of 55 patients with CRC. In addition, gene set enrichment analysis indicated the potential association between high prognostic value and oxygen metabolism-related processes. This result should indicate that lncRNAs could be a useful signature for CRC prognosis.

摘要

长链非编码 RNA(lncRNAs)最近已成为癌症进展的重要生物标志物。在这里,我们提出开发一个具有结直肠癌(CRC)总生存(OS)预后价值的 lncRNA 特征。通过挖掘微阵列数据集,我们分析了来自基因表达综合数据库的 122 例 CRC 患者的 lncRNA 表达谱。首先通过单变量 Cox 回归分析评估 lncRNA 与 CRC OS 之间的关联。随机生存森林方法用于进一步筛选 lncRNA 特征,结果得到了 8 个 lncRNAs,包括 PEG3-AS1、LOC100505715、MINCR、DBH-AS1、LINC00664、FAM224A、LOC642852 和 LINC00662。通过多元 Cox 回归系数对这 8 个 lncRNAs 进行加权组合,形成了一个预后特征,通过该特征,我们可以将 122 例 CRC 患者分为 OS 差异显著的两个亚组。通过包含 55 例 CRC 患者的独立数据集验证了 lncRNA 特征预后价值的良好稳健性。此外,基因集富集分析表明,高预后价值与氧代谢相关过程之间存在潜在关联。这一结果表明,lncRNAs 可能是 CRC 预后的一个有用特征。

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