Department of Urology, the First Hospital of Jilin University, Changchun 130021, Jilin, China.
Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun 130021, Jilin, China.
Biosci Rep. 2020 Dec 23;40(12). doi: 10.1042/BSR20202463.
Bladder cancer (BC) is the most common tumor of the urinary tract. Increasing evidence showed that long non-coding RNA (lncRNA) is a critical regulator in cancer development and progression. However, the functions of lncRNAs in the development of BC remain mostly undefined. In the present study, based on RNA sequence profiles from The Cancer Genome Atlas database, we identified 723 lncRNAs, 157 miRNAs, and 1816 mRNAs aberrantly expressed in BC tissues. A competing endogenous RNA network, including 49 lncRNAs, 17 miRNAs, and 36 mRNAs, was then established. The functional enrichment analyses showed that the mRNAs in the ceRNA network mainly participated in 'regulation of transcription' and 'pathways in cancer'. Moreover, the Cox regression analyses demonstrated that three lncRNAs (AC112721.1, TMPRSS11GP, and ADAMTS9-AS1) could serve as independent risk factors. We established a risk prediction model with these lncRNAs. Kaplan-Meier curve analysis showed that high-risk patients' prognosis was lower than that of low-risk patients (P=0.001). The present study provides novel insights into the lncRNA-mediated ceRNA network and the potential of lncRNAs to be candidate prognostic biomarkers in BC, which could help better understand the pathological changes and pathogenesis of BC and be useful for clinical studies in the future.
膀胱癌（BC）是最常见的泌尿道肿瘤。越来越多的证据表明，长非编码 RNA（lncRNA）是癌症发展和进展的关键调节因子。然而，lncRNAs 在 BC 发展中的功能仍大多未被定义。在本研究中，我们基于来自癌症基因组图谱数据库的 RNA 序列图谱，鉴定了 723 个 lncRNA、157 个 miRNA 和 1816 个在 BC 组织中异常表达的 mRNAs。然后建立了一个竞争内源性 RNA 网络，包括 49 个 lncRNA、17 个 miRNA 和 36 个 mRNAs。功能富集分析表明，ceRNA 网络中的 mRNAs 主要参与“转录调控”和“癌症途径”。此外，Cox 回归分析表明，三个 lncRNA（AC112721.1、TMPRSS11GP 和 ADAMTS9-AS1）可以作为独立的危险因素。我们建立了一个基于这些 lncRNAs 的风险预测模型。Kaplan-Meier 曲线分析表明，高风险患者的预后低于低风险患者（P=0.001）。本研究为 lncRNA 介导的 ceRNA 网络提供了新的见解，并为 lncRNA 作为 BC 潜在的候选预后生物标志物提供了可能性，这有助于更好地理解 BC 的病理变化和发病机制，并为未来的临床研究提供帮助。
