The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Stomatological Hospital of Shandong University, Shandong, China.
BMC Cancer. 2019 Aug 7;19(1):779. doi: 10.1186/s12885-019-5983-8.
Numerous studies have highlighted that long non-coding RNAs (lncRNAs) can bind to microRNA (miRNA) sites as competing endogenous RNAs (ceRNAs), thereby affecting and regulating the expression of mRNAs and target genes. These lncRNA-associated ceRNAs have been theorized to play a significant role in cancer initiation and progression. However, the roles and functions of the lncRNA-miRNA-mRNA ceRNA network in squamous cell carcinoma of the tongue (SCCT) are still unclear.
The miRNA, mRNA and lncRNA expression profiles from 138 patients with SCCT were downloaded from The Cancer Genome Atlas database. We identified the differential expression of miRNAs, mRNAs, and lncRNAs using the limma package of R software. We used the clusterProfiler package for GO and KEGG pathway annotations. The survival package was used to estimate survival analysis according to the Kaplan-Meier curve. Finally, the GDCRNATools package was used to construct the lncRNA-miRNA-mRNA ceRNA network.
In total, 1943 SCCT-specific mRNAs, 107 lncRNAs and 100 miRNAs were explored. Ten mRNAs (CSRP2, CKS2, ADGRG6, MB21D1, GMNN, RIPOR3, RAD51, PCLAF, ORC1, NAGS), 9 lncRNAs (LINC02560, HOXC13 - AS, FOXD2 - AS1, AC105277.1, AC099850.3, STARD4 - AS1, SLC16A1 - AS1, MIR503HG, MIR100HG) and 8 miRNAs (miR - 654, miR - 503, miR - 450a, miR - 379, miR - 369, miR - 190a, miR - 101, and let-7c) were found to be significantly associated with overall survival (log-rank p < 0.05). Based on the analysis of the lncRNA-miRNA-mRNA ceRNA network, one differentially expressed (DE) lncRNA, five DEmiRNAs, and three DEmRNAs were demonstrated to be related to the pathogenesis of SCCT.
In this study, we described the gene regulation by the lncRNA-miRNA-mRNA ceRNA network in the progression of SCCT. We propose a new lncRNA-associated ceRNA that could help in the diagnosis and treatment of SCCT.
大量研究表明,长链非编码 RNA(lncRNA)可以作为竞争性内源 RNA(ceRNA)与 microRNA(miRNA)结合位点,从而影响和调节 mRNA 和靶基因的表达。这些 lncRNA 相关的 ceRNA 被认为在癌症的发生和发展中发挥重要作用。然而,lncRNA-miRNA-mRNA ceRNA 网络在舌鳞状细胞癌(SCCT)中的作用和功能仍不清楚。
从癌症基因组图谱数据库中下载了 138 例 SCCT 患者的 miRNA、mRNA 和 lncRNA 表达谱。我们使用 R 软件的 limma 包识别差异表达的 miRNA、mRNA 和 lncRNA。我们使用 clusterProfiler 包进行 GO 和 KEGG 通路注释。使用 survival 包根据 Kaplan-Meier 曲线进行生存分析估计。最后,使用 GDCRNATools 包构建 lncRNA-miRNA-mRNA ceRNA 网络。
共探讨了 1943 个 SCCT 特异性 mRNAs、107 个 lncRNAs 和 100 个 miRNAs。10 个 mRNAs(CSRP2、CKS2、ADGRG6、MB21D1、GMNN、RIPOR3、RAD51、PCLAF、ORC1、NAGS)、9 个 lncRNAs(LINC02560、HOXC13-AS、FOXD2-AS1、AC105277.1、AC099850.3、STARD4-AS1、SLC16A1-AS1、MIR503HG、MIR100HG)和 8 个 miRNAs(miR-654、miR-503、miR-450a、miR-379、miR-369、miR-190a、miR-101 和 let-7c)与总生存显著相关(对数秩检验 p<0.05)。基于 lncRNA-miRNA-mRNA ceRNA 网络分析,发现一个差异表达的(DE)lncRNA、五个 DEmiRNAs 和三个 DEmRNAs 与 SCCT 的发病机制有关。
本研究描述了 lncRNA-miRNA-mRNA ceRNA 网络在 SCCT 进展中的基因调控。我们提出了一种新的 lncRNA 相关 ceRNA,可能有助于 SCCT 的诊断和治疗。