Yin Xiao-Hong, Jin Ying-Hui, Cao Yue, Wong York, Weng Hong, Sun Chao, Deng Jun-Hao, Zeng Xian-Tao
Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Department of Evidence-Based Medicine and Clinical Epidemiology, The Second Clinical College of Wuhan University, Wuhan, China.
Front Oncol. 2019 Aug 7;9:729. doi: 10.3389/fonc.2019.00729. eCollection 2019.
To develop a prognostic signature for patients with bladder cancer (BC). We identified differentially expressed miRNAs between normal bladder tissue and bladder cancer in the TCGA-BCLA dataset and evaluated prognostic values of these miRNAs. Then, a 21-miRNA signature was constructed based on the results of Cox proportional hazards regression model. Furthermore, functional enrichment analyses were conducted to explore the potential effects of the target genes of these 21 miRNAs. Seventy six differentially expressed miRNAs were identified, among which 21 miRNAs including hsa-let-7c, mir-143, mir-944, mir-192, mir-590, mir-490, mir-141, mir-93, mir-1-2, mir-200c, mir-133a-1, mir-1-1, mir-133b, mir-20a, mir-185, mir-19a, mir-19b-2, mir-19b-1, mir-17, mir-15a, and mir-133a-2 were demonstrated to be significantly correlated with the overall survival (OS) of bladder cancer patients using Kaplan-Meier survival analysis and Log-rank test. The results of Chi-square test and multivariable logistic regression analysis showed that the 21-miRNA signature was significantly associated with the diagnosis type and T stage of bladder cancer. Univariate and multivariable survival analyses indicated that the 21-miRNA signature was an independent factor in predicting the overall survival of patients with bladder cancer. The results of functional enrichment analysis suggested that the target genes of these 21 miRNAs were mostly enriched in critical cancer-related biological processes and pathways, and the PPI network suggested that 60 targeted genes interacted with a minimum of 30 genes were at the hub of the whole network. In addition, we performed a multivariate nomogram and decision curve analysis (DCA) to evaluate the clinical application of 21-microRNA signature. We introduced a 21-miRNA signature which was associated the prognosis of patients of bladder cancer, and inspirational ideas for the future basic and clinical exploration.
为了开发膀胱癌(BC)患者的预后特征。我们在TCGA - BCLA数据集中鉴定了正常膀胱组织和膀胱癌之间差异表达的miRNA,并评估了这些miRNA的预后价值。然后,基于Cox比例风险回归模型的结果构建了一个包含21个miRNA的特征。此外,进行了功能富集分析以探索这21个miRNA的靶基因的潜在作用。共鉴定出76个差异表达的miRNA,其中通过Kaplan - Meier生存分析和对数秩检验证明,包括hsa - let - 7c、mir - 143、mir - 944、mir - 192、mir - 590、mir - 490、mir - 141、mir - 93、mir - 1 - 2、mir - 200c、mir - 133a - 1、mir - 1 - 1、mir - 133b、mir - 20a、mir - 185、mir - 19a、mir - b - 2、mir - 19b - 1、mir - 17、mir - 15a和mir - 133a - 2在内的21个miRNA与膀胱癌患者的总生存期(OS)显著相关。卡方检验和多变量逻辑回归分析结果表明,这21个miRNA特征与膀胱癌的诊断类型和T分期显著相关。单变量和多变量生存分析表明,这21个miRNA特征是预测膀胱癌患者总生存期的独立因素。功能富集分析结果表明,这21个miRNA的靶基因大多富集在关键的癌症相关生物学过程和途径中,蛋白质 - 蛋白质相互作用(PPI)网络表明,与至少30个基因相互作用的60个靶基因处于整个网络的核心。此外,我们进行了多变量列线图和决策曲线分析(DCA)以评估21 - miRNA特征的临床应用。我们引入了一个与膀胱癌患者预后相关的21 - miRNA特征,为未来的基础和临床探索提供了启发思路。