Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
Biomed Res Int. 2020 Feb 21;2020:4951692. doi: 10.1155/2020/4951692. eCollection 2020.
Wilms' tumor (WT) is the most common type of childhood kidney cancer, and most cases present with favorable histology and respond well to standard treatment. However, a subset of patients with WT is diagnosed with bilateral, relapsed, and high-risk tumors which remain the leading cause of cancer-related death in children. Long noncoding RNAs (lncRNAs) and their aberrant expression have currently been attracting great attention as oncogenes or tumor suppressors during tumor initiation and progression. So far, their roles and related competitive endogenous RNA (ceRNA) network remain unelucidated in nephroblastoma pathogenesis. We comprehensively integrated lncRNA, microRNA (miRNA), and messenger RNA (mRNA) expression profiles from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database and screened out differentially expressed mRNAs (DEMs), lncRNAs (DELs), and miRNAs (DEMis) to construct a ceRNA network based on the information generated from miRcode, miRTarBase, TargetScan, and miRDB. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to analyze the functional characteristics of DEMs in the ceRNA network. The interaction between protein molecules was also analyzed by establishing a protein-protein interaction network. Finally, prognosis-related biomarkers were identified via survival analysis. Initially, 1647 DELs, 115 DEMis, and 3280 DEMs (|log FC| > 2; FDR < 0.01) were obtained using the R package. Next, we constructed a lncRNA-miRNA-mRNA network (ceRNA network), in which 176 DELs, 24 DEMis, and 141 DEMs were identified. Furthermore, 148 functional enrichment terms from GO were identified and 29 KEGG pathways were found to be significantly enriched. We also integrated patient clinical information to analyze the association between DERNAs and patient prognosis. We found that high expression of 8 DELs (LINC00473, AL445228.2, DENND5B-AS1, DLEU2, AC123595.1, AC135178.1, LINC00535, and LMO7-AS1) and 4 DEMs (CEP55, DEPDC1, PHF19, and TRIM36) correlated with poor survival in a patient with WT, whereas high expression of 2 DELs (MEG3 and RMST), 1 DEM (KIAA0922), and 1 DEMi (hsa-mir-200a) could possibly lead to better clinical outcomes. For the first time, the present study provided a novel insight into lncRNA-related ceRNA networks and identified potential prognostic biomarkers in Wilms' tumor.
威尔姆斯瘤(WT)是儿童中最常见的肾癌类型,大多数病例具有良好的组织学特征,对标准治疗反应良好。然而,一部分 WT 患者被诊断为双侧、复发和高危肿瘤,这仍然是儿童癌症相关死亡的主要原因。长链非编码 RNA(lncRNA)及其异常表达已成为肿瘤发生和发展过程中癌基因或肿瘤抑制因子的热点。到目前为止,lncRNA 在肾母细胞瘤发病机制中的作用及其相关竞争性内源性 RNA(ceRNA)网络仍不清楚。我们全面整合了治疗应用研究产生有效治疗(TARGET)数据库中的 lncRNA、microRNA(miRNA)和信使 RNA(mRNA)表达谱,筛选出差异表达的 mRNAs(DEMs)、lncRNAs(DELs)和 miRNAs(DEMis),基于 miRcode、miRTarBase、TargetScan 和 miRDB 生成的信息构建 ceRNA 网络。对 ceRNA 网络中的 DEMs 进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析,以分析其功能特征。还通过建立蛋白质-蛋白质相互作用网络分析蛋白质分子之间的相互作用。最后,通过生存分析识别预后相关的生物标志物。最初,使用 R 包获得了 1647 个 DELs、115 个 DEMis 和 3280 个 DEMs(|log FC|>2;FDR<0.01)。接下来,我们构建了一个 lncRNA-miRNA-mRNA 网络(ceRNA 网络),其中鉴定出 176 个 DELs、24 个 DEMis 和 141 个 DEMs。此外,还鉴定出 148 个来自 GO 的功能富集项和 29 个 KEGG 途径显著富集。我们还整合了患者的临床信息,分析了 DERNAs 与患者预后之间的关系。我们发现,8 个 DELs(LINC00473、AL445228.2、DENND5B-AS1、DLEU2、AC123595.1、AC135178.1、LINC00535 和 LMO7-AS1)和 4 个 DEMs(CEP55、DEPDC1、PHF19 和 TRIM36)的高表达与 WT 患者的不良生存相关,而 2 个 DELs(MEG3 和 RMST)、1 个 DEM(KIAA0922)和 1 个 DEMi(hsa-mir-200a)的高表达可能导致更好的临床结果。本研究首次提供了一个新的视角来研究 lncRNA 相关的 ceRNA 网络,并鉴定了 Wilms 瘤中的潜在预后生物标志物。