Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.
Graduate School, Dalian Medical University, Dalian, China.
Bioengineered. 2021 Dec;12(1):1725-1738. doi: 10.1080/21655979.2021.1924555.
Bladder cancer is one of the most common malignant tumors worldwide. Accordingly, its incidence and mortality are high. One of the characteristics of cancer is genomic instability. New studies suggest that long non-coding RNAs (lncRNAs) play an important role in maintaining genomic instability. This study aimed to identify a genomic instability-associated lncRNA signature to predict the outcome of patients with bladder cancer. We downloaded data for bladder cancer patients from The Cancer Genome Atlas database to obtain lncRNA expression profiles as well as somatic mutation profiles. Using the lncRNA computational framework, a genomic instability-related lncRNA signature (GIlncSig) was established and the prognostic value of this signature was assessed and validated. A five-lncRNA signature based on genomic instability (CFAP58-DT, MIR100HG, LINC02446, AC078880.3, and LINC01833) was obtained from 58 differentially expressed lncRNAs. Patients were divided into high-risk and low-risk groups, with the high-risk group having a substantially worse prognosis than the low-risk group. Univariate and multivariate Cox analyses indicated that GIlncSig may be an independent prognostic factor; this finding was subsequently validated. In addition, enrichment analysis indicated that GIlncSig is associated with genomic instability in bladder cancer. GIlncSig has a predictive value for the prognosis of bladder cancer patients and provides guidance for the clinical treatment of these patients.
膀胱癌是全球最常见的恶性肿瘤之一。因此,其发病率和死亡率都很高。癌症的一个特征是基因组不稳定性。新的研究表明,长非编码 RNA(lncRNA)在维持基因组不稳定性方面发挥着重要作用。本研究旨在鉴定与基因组不稳定性相关的 lncRNA 特征,以预测膀胱癌患者的预后。我们从癌症基因组图谱数据库下载了膀胱癌患者的数据,以获得 lncRNA 表达谱和体细胞突变谱。使用 lncRNA 计算框架,建立了与基因组不稳定性相关的 lncRNA 特征(GIlncSig),并评估和验证了该特征的预后价值。从 58 个差异表达的 lncRNA 中获得了基于基因组不稳定性的五个 lncRNA 特征(CFAP58-DT、MIR100HG、LINC02446、AC078880.3 和 LINC01833)。患者被分为高风险组和低风险组,高风险组的预后明显比低风险组差。单因素和多因素 Cox 分析表明,GIlncSig 可能是一个独立的预后因素;这一发现随后得到了验证。此外,富集分析表明,GIlncSig 与膀胱癌中的基因组不稳定性有关。GIlncSig 对膀胱癌患者的预后具有预测价值,为这些患者的临床治疗提供了指导。