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一种八微小RNA特征作为预测肺腺癌生存的潜在生物标志物。

An eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinoma.

作者信息

Li Xuelian, Shi Yunrui, Yin Zhihua, Xue Xiaoxia, Zhou Baosen

机构信息

Department of Epidemiology, School of Public Health, China Medical University, No,92 Beier Road, Heping District, Shenyang, 110001, Liaoning Province, PR China.

出版信息

J Transl Med. 2014 Jun 4;12:159. doi: 10.1186/1479-5876-12-159.

Abstract

BACKGROUND

Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prognostic value of this miRNA expression profile for OS in patients with LUAD.

METHODS

We obtained miRNA expression profiles and corresponding clinical information for 372 LUAD patients from The Cancer Genome Atlas (TCGA), and identified the most significantly altered miRNAs between tumor and normal samples. Using survival analysis and supervised principal components method, we identified an eight-miRNA signature for the prediction of overall survival (OS) of LUAD patients. The relationship between OS and the identified miRNA signature was self-validated in the TCGA cohort (randomly classified into two subgroups: n = 186 for the training set and n = 186 for the testing set). Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. The biological relevance of putative miRNA targets was also analyzed using bioinformatics.

RESULTS

Sixteen of the 111 most significantly altered miRNAs were associated with OS across different clinical subclasses of the TCGA-derived LUAD cohort. A linear prognostic model of eight miRNAs (miR-31, miR-196b, miR-766, miR-519a-1, miR-375, miR-187, miR-331 and miR-101-1) was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group exhibited poor OS compared with patients in the low-risk group (hazard ratio [HR] = 1.99, P <0.001). The eight-miRNA signature is an independent prognostic marker of OS of LUAD patients and demonstrates good performance for predicting 5-year OS (Area Under the respective ROC Curves [AUC] = 0.626, P = 0.003), especially for non-smokers (AUC = 0.686, P = 0.023).

CONCLUSIONS

We identified an eight-miRNA signature that is prognostic of LUAD. The miRNA signature, if validated in other prospective studies, may have important implications in clinical practice, in particular identifying a subgroup of patients with LUAD who are at high risk of mortality.

摘要

背景

肺腺癌是一种异质性疾病,给分类和管理带来了挑战。本研究的目的是从大量显著改变的miRNA数据集中识别与肺腺癌患者生存密切相关的特定miRNA标志物,并评估该miRNA表达谱对肺腺癌患者总生存期的预后价值。

方法

我们从癌症基因组图谱(TCGA)获得了372例肺腺癌患者的miRNA表达谱和相应的临床信息,并确定了肿瘤样本与正常样本之间最显著改变的miRNA。使用生存分析和监督主成分方法,我们确定了一个用于预测肺腺癌患者总生存期(OS)的八miRNA特征。OS与所确定的miRNA特征之间的关系在TCGA队列中进行了自我验证(随机分为两个亚组:训练集n = 186,测试集n = 186)。生存接受者操作特征(ROC)分析用于评估生存预测的性能。还使用生物信息学分析了假定miRNA靶标的生物学相关性。

结果

在111个最显著改变的miRNA中,有16个与TCGA衍生的肺腺癌队列的不同临床亚类中的OS相关。构建了一个由八个miRNA(miR-31、miR-196b、miR-766、miR-519a-1、miR-375、miR-187、miR-331和miR-101-1)组成的线性预后模型,并通过监督主成分方法的重要性得分进行加权,将患者分为高风险组和低风险组。与低风险组患者相比,分配到高风险组的患者OS较差(风险比[HR]=1.99,P<0.001)。八miRNA特征是肺腺癌患者OS的独立预后标志物,在预测5年OS方面表现良好(各自ROC曲线下面积[AUC]=0.626,P = 0.003),尤其是对非吸烟者(AUC = 0.686,P = 0.023)。

结论

我们确定了一个对肺腺癌具有预后意义的八miRNA特征。如果在其他前瞻性研究中得到验证,该miRNA特征可能在临床实践中具有重要意义,特别是识别出肺腺癌中具有高死亡风险的患者亚组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2e5/4062505/5f76a6bd522a/1479-5876-12-159-1.jpg

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