Department of Hematology and Oncology, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Department of Hematology and Oncology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Sci Rep. 2020 Nov 24;10(1):20472. doi: 10.1038/s41598-020-77252-2.
Comprehensive transcriptome expression analyses of bladder cancer revealed distinct lncRNA clusters with differential molecular and clinical characteristics. In this study, pivotal lncRNAs were assessed for their impact on survival and their differential expression between the molecular bladder cancer subtypes. FFPE samples from chemotherapy-naïve patients with muscle invasive bladder cancer (MIBC) were analyzed on the Nanostring nCounter platform for absolute quantification. An established 36-gene panel was used for molecular subtype classification into basal, luminal and infiltrated MIBC. In a second step, 14 pivotal lncRNAs were assessed for their molecular subtype attribution, and their predictive value in disease-specific survival. In silico validation was performed on a total of 487 MIBC patients (MDA, TGCA and Chungbuk cohort). Several pivotal lncRNAs showed a distinct molecular subtype attribution: e.g. MALAT1 showed a downregulation in the basal subtype (p = 0.009), TUG1 and CBR3AS1 showed an upregulation in the luminal subtype (p ≤ 0.001). High transcript levels of SNHG16, CBR3AS1 and H19 appeared to be predictive for a shorter disease-specific survival. Patients overexpressing putative oncogenes MALAT1 and TUG1 in MIBC tissue presented prolonged survival, suggesting tumor suppressive effects of both lncRNAs. The Nanostring nCounter proved to be a valid platform for the quantification of low-abundance transcripts including lncRNAs.
膀胱癌综合转录组表达分析揭示了具有不同分子和临床特征的独特 lncRNA 簇。在这项研究中,评估了关键 lncRNA 对生存的影响及其在分子膀胱癌亚型之间的差异表达。对未经化疗的肌层浸润性膀胱癌(MIBC)患者的 FFPE 样本进行了分析,使用 Nanostring nCounter 平台进行绝对定量。使用经过验证的 36 基因 panel 对基底型、腔型和浸润型 MIBC 进行分子亚型分类。在第二步中,评估了 14 个关键 lncRNA 对其分子亚型归属的影响,以及它们对疾病特异性生存的预测价值。对总共 487 名 MIBC 患者(MDA、TGCA 和忠北队列)进行了计算机模拟验证。几个关键 lncRNA 表现出明显的分子亚型归属:例如,MALAT1 在基底型中下调(p = 0.009),TUG1 和 CBR3AS1 在腔型中上调(p ≤ 0.001)。SNHG16、CBR3AS1 和 H19 的转录本水平较高似乎与较短的疾病特异性生存相关。在 MIBC 组织中过度表达推定致癌基因 MALAT1 和 TUG1 的患者的生存时间延长,这表明这两种 lncRNA 具有肿瘤抑制作用。Nanostring nCounter 被证明是一种有效的平台,可用于定量包括 lncRNA 在内的低丰度转录本。