An epithelial-mesenchymal transition-related long noncoding RNA signature correlates with the prognosis and progression in patients with bladder cancer.
An epithelial-mesenchymal transition-related long noncoding RNA signature correlates with the prognosis and progression in patients with bladder cancer.
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DOI：
10.1042/bsr20203944
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发表时间：
2021-01-29
影响因子：
4
通讯作者：
He W
中科院分区：
文献类型：
--
作者：
Tong H;Li T;Gao S;Yin H;Cao H;He W
膀胱癌是世界范围内常见的恶性肿瘤。上皮-间质转化（EMT）相关生物标志物可用于癌症患者的早期诊断和预后。综上所述，准确的预测模型对于膀胱癌的诊断和治疗至关重要。在本研究中，开发了一种与EMT相关的长非编码RNA（lncRNA）模型来预测膀胱癌患者的预后。首先，通过 Pearson 相关分析鉴定 EMT 相关 lncRNA，并通过单变量和多变量 Cox 回归分析构建预后 EMT 相关 lncRNA 特征。然后，评估特征的诊断功效和临床预测能力。最后利用生物信息学进行基因集富集分析（GSEA）和功能富集分析。与 EMT 相关的 lncRNA 特征，包括 TTC28-AS1、LINC02446、AL662844.4、AC105942.1、AL049840.3、SNHG26、USP30-AS1、PSMB8-AS1、AL031775.1、AC073534.1、U62317.2、C5orf56、构建了 AJ271736.1 和 AL139385.1。通过时间依赖性受试者工作特征（ROC）曲线评估特征的诊断效果，其中所有ROC下面积（AUC）值均大于0.73。通过整合临床变量和风险评分建立的列线图证实该签名具有良好的临床预测能力。 GSEA分析显示，一些癌症相关和EMT相关通路在高危人群中富集，而免疫相关通路在低危人群中富集。功能富集分析表明，EMT 与丰富的 GO 术语或信号通路相关。简而言之，我们的研究表明，14个EMT相关lncRNA特征可以预测膀胱癌患者的预后和进展。
Bladder cancer is a common malignant tumour worldwide. Epithelial–mesenchymal transition (EMT)-related biomarkers can be used for early diagnosis and prognosis of cancer patients. To explore, accurate prediction models are essential to the diagnosis and treatment for bladder cancer. In the present study, an EMT-related long noncoding RNA (lncRNA) model was developed to predict the prognosis of patients with bladder cancer. Firstly, the EMT-related lncRNAs were identified by Pearson correlation analysis, and a prognostic EMT-related lncRNA signature was constructed through univariate and multivariate Cox regression analyses. Then, the diagnostic efficacy and the clinically predictive capacity of the signature were assessed. Finally, Gene set enrichment analysis (GSEA) and functional enrichment analysis were carried out with bioinformatics. An EMT-related lncRNA signature consisting of TTC28-AS1, LINC02446, AL662844.4, AC105942.1, AL049840.3, SNHG26, USP30-AS1, PSMB8-AS1, AL031775.1, AC073534.1, U62317.2, C5orf56, AJ271736.1, and AL139385.1 was constructed. The diagnostic efficacy of the signature was evaluated by the time-dependent receiver-operating characteristic (ROC) curves, in which all the values of the area under the ROC (AUC) were more than 0.73. A nomogram established by integrating clinical variables and the risk score confirmed that the signature had a good clinically predict capacity. GSEA analysis revealed that some cancer-related and EMT-related pathways were enriched in high-risk groups, while immune-related pathways were enriched in low-risk groups. Functional enrichment analysis showed that EMT was associated with abundant GO terms or signaling pathways. In short, our research showed that the 14 EMT-related lncRNA signature may predict the prognosis and progression of patients with bladder cancer.