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一种用于预测膀胱尿路上皮癌患者生存情况的潜在预后lncRNA特征。

A potential prognostic lncRNA signature for predicting survival in patients with bladder urothelial carcinoma.

作者信息

Bao Zhenyu, Zhang Weitao, Dong Dong

机构信息

Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China.

Urology Surgery Department, Affiliated Hospital of Taishan Medical University, Shandong, China.

出版信息

Oncotarget. 2017 Feb 7;8(6):10485-10497. doi: 10.18632/oncotarget.14441.

Abstract

Increasing evidence has highlighted the critical roles of long non-coding RNA (lncRNA) in cancer development and progression. However, the prognostic power of expression-based lncRNA signature for predicting overall survival in patients with Bladder Urothelial Carcinoma (BLCA) has not been investigated. Here, we performed a comprehensive analysis for lncRNA expression profiles and corresponding clinical information of 234 BLCA patients from The Cancer Genome Atlas (TCGA). We established a set of four-lncRNAs that were significantly associated with BLCA patients' survival. Using the prognostic four-lncRNA signature, we successfully classified the BLCA patients into high-risk and low-risk groups, and the prognostic power of the four-lncRNA signature was further validated in the testing dataset and entire dataset. Multivariate Cox regression and stratified analyses demonstrated that the prognostic power of the four-lncRNA signature was independent of other clinical variables. Functional enrichment analyses suggested the four prognostic lncRNAs may be involved in known BLCA-related biological processes and pathways. Our results demonstrated that the four-lncRNA signature could be novel independent biomarkers for predicting survival in patients with BLCA.

摘要

越来越多的证据突显了长链非编码RNA(lncRNA)在癌症发生和发展中的关键作用。然而,基于表达的lncRNA特征对膀胱尿路上皮癌(BLCA)患者总生存期的预测能力尚未得到研究。在此,我们对来自癌症基因组图谱(TCGA)的234例BLCA患者的lncRNA表达谱及相应临床信息进行了全面分析。我们建立了一组与BLCA患者生存显著相关的四个lncRNA。使用这一预后四lncRNA特征,我们成功地将BLCA患者分为高风险和低风险组,并且该四lncRNA特征的预后能力在测试数据集和整个数据集中得到了进一步验证。多变量Cox回归和分层分析表明,四lncRNA特征的预后能力独立于其他临床变量。功能富集分析表明,这四个预后lncRNA可能参与已知的与BLCA相关的生物学过程和通路。我们的结果表明,四lncRNA特征可能是预测BLCA患者生存的新型独立生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c3/5354674/c48f8101f829/oncotarget-08-10485-g001.jpg

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