全面分析与头颈部鳞状细胞癌相关的竞争性内源性 RNA 网络。

Comprehensive analysis of competitive endogenous RNAs network associated with head and neck squamous cell carcinoma.

机构信息

Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, 250014, China.

Key Laboratory of TCM Data Cloud Service in Universities of Shandong, School of Information Engineering, Shandong Management University, Jinan, 250357, China.

出版信息

Sci Rep. 2018 Jul 12;8(1):10544. doi: 10.1038/s41598-018-28957-y.

Long non-coding RNAs (lncRNAs) can regulate gene expression directly or indirectly through interacting with microRNAs (miRNAs). However, the role of differentially expressed mRNAs, lncRNAs and miRNAs, and especially their related competitive endogenous RNAs (ceRNA) network in head and neck squamous cell carcinoma (HNSCC), is not fully comprehended. In this paper, the lncRNA, miRNA, and mRNA expression profiles of 546 HNSCC patients, including 502 tumor and 44 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) were analyzed. 82 miRNAs, 1197 mRNAs and 1041 lncRNAs were found to be differentially expressed in HNSCC samples (fold change ≥ 2; P < 0.01). Further bioinformatics analysis was performed to construct a lncRNA-miRNA-mRNA ceRNA network of HNSCC, which includes 8 miRNAs, 71 lncRNAs and 16 mRNAs. Through survival analysis based on the expression profiles of RNAs in the ceRNA network, we detected 1 mRNA, 1 miRNA and 13 lncRNA to have a significant impact on the overall survival of HNSCC patients (P < 0.05). Finally, some lncRNAs, which are more important for survival, were also predicted. Our research provides data to further understand the molecular mechanisms implicated in HNSCC.

长链非编码 RNA（lncRNAs）可以通过与 microRNAs（miRNAs）相互作用直接或间接调节基因表达。然而，差异表达的 mRNAs、lncRNAs 和 miRNAs 的作用，尤其是它们相关的竞争性内源 RNA（ceRNA）网络在头颈部鳞状细胞癌（HNSCC）中的作用尚未完全被理解。在本文中，我们分析了来自癌症基因组图谱（TCGA）的 546 例 HNSCC 患者（包括 502 例肿瘤和 44 例相邻非肿瘤组织）的 lncRNA、miRNA 和 mRNA 表达谱。发现 82 个 miRNA、1197 个 mRNAs 和 1041 个 lncRNAs 在 HNSCC 样本中差异表达（fold change≥2；P<0.01）。进一步的生物信息学分析构建了 HNSCC 的 lncRNA-miRNA-mRNA ceRNA 网络，该网络包括 8 个 miRNA、71 个 lncRNAs 和 16 个 mRNAs。通过基于 ceRNA 网络中 RNA 表达谱的生存分析，我们检测到 1 个 mRNA、1 个 miRNA 和 13 个 lncRNA 对 HNSCC 患者的总生存有显著影响（P<0.05）。最后，还预测了一些对生存更重要的 lncRNAs。我们的研究为进一步理解 HNSCC 中涉及的分子机制提供了数据。