Department of nuclear medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Provincial Tumor Hospital, Kunming, 650118, China.
Department of medical oncology, Kunming Children's Hospital, Kunming, 650118, China.
Ann Endocrinol (Paris). 2019 Apr;80(2):77-83. doi: 10.1016/j.ando.2018.07.014. Epub 2018 Oct 13.
Our aim was to explore the potential mechanism underlying papillary thyroid carcinoma (PTC) development.
Gene expression profile data GSE3467 and microRNA (miRNA) expression profile data E-TABM-68 were downloaded from Gene Expression Omnibus and Array Express database respectively. The differentially expressed genes (DEGs) and miRNAs between PTC patients and normal individuals were screened. Then, the significant target DEGs regulated by differentially expressed miRNAs were mapped to protein-protein interaction (PPI) network and functional modules were screened. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis for miRNA genes were performed using DAVID (the Database for Annotation, Visualization and Integration Discovery) tool.
Total 4307 DEGs and 23 differentially expressed miRNAs were identified. A PPI subnetwork containing 612 nodes and 713 edges was constructed. Total 5 DEGs such as SPARC (secreted protein acidic and rich in cysteine), FN1 (fibronectin 1), THBS1 (thrombospondin 1), COL1A1 (collagen, type I, alpha 1) and COL7A1 (collagen, type VII, alpha 1) were found in module M1. The up-regulated DEGs were significantly related with cell adhesion molecules (CAMs), response to wounding and immune response. The down-regulated DEGs were significantly enriched in metabolism related pathways and transcription related with GO terms.
ECM-receptor interaction and amino acid degradation may play key roles in the mechanism of PTC progression.
本研究旨在探索甲状腺乳头状癌（PTC）发生发展的潜在机制。
分别从基因表达综合数据库和 ArrayExpress 数据库中下载基因表达谱数据 GSE3467 和 microRNA（miRNA）表达谱数据 E-TABM-68。筛选 PTC 患者与正常个体间的差异表达基因（DEGs）和 miRNA。然后，将差异表达 miRNA 调控的显著靶 DEGs 映射到蛋白质-蛋白质相互作用（PPI）网络，并筛选功能模块。使用 DAVID（数据库检索、可视化和整合发现）工具对 miRNA 基因进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）通路分析。
共筛选出 4307 个 DEGs 和 23 个差异表达 miRNA。构建了一个包含 612 个节点和 713 条边的 PPI 子网络。在模块 M1 中发现了 5 个差异表达基因，如 SPARC（富含半胱氨酸的酸性分泌蛋白）、FN1（纤连蛋白 1）、THBS1（血栓素 1）、COL1A1（I 型胶原，α1）和 COL7A1（VII 型胶原，α1）。上调的 DEGs 与细胞黏附分子（CAMs）、对创伤的反应和免疫反应显著相关。下调的 DEGs 显著富集在代谢相关通路和转录相关的 GO 术语中。
细胞外基质-受体相互作用和氨基酸降解可能在 PTC 进展的机制中发挥关键作用。
