非小细胞肺癌关键 circRNAs 的鉴定。
Identification of Key circRNAs in Non-Small Cell Lung Cancer.
机构信息
Graduate School, Tianjin Medical University, Tianjin, China; Department of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, China.
Department of Thoracic Surgery, Tianjin Chest Hospital, No.261, Tai Er Zhuang Southern Road, Jinnan District, Tianjin 300051, China.
出版信息
Am J Med Sci. 2021 Jan;361(1):98-105. doi: 10.1016/j.amjms.2020.08.008. Epub 2020 Aug 10.
BACKGROUND
Our work aimed to identify the key differentially expressed circular RNAs (circRNAs) (DECs) in non-small cell lung cancer (NSCLC).
MATERIALS AND METHODS
An integrated analysis based on public NSCLC datasets obtained from Gene Expression Omnibus was performed. DECs in NSCLC were subsequently identified. Bioinformatics analyses were utilized for describing the predictable functions of DECs including circRNA-miRNA network construction and pathway enrichment. The diagnostic value of candidate DECs among NSCLC and healthy individuals were preliminarily evaluated in GSE101586, GSEE101684, GSE112214 datasets.
RESULTS
A total of 43 up-regulated and 78 down-regulated DECs in NSCLC were identified. The mTOR signaling pathway, ErbB signaling pathway and cell cycle were significantly enriched from the originated genes of DECs in NSCLC. In the circRNA-miRNA network, hsa-circ-0002702, hsa-circ-0049271, hsa-circ-0009150 and hsa-circ-0053958 had high connectivity with miRNAs, which respectively interacted with 122, 42, 41, and 39 miRNAs. hsa_circ_0003028, hsa_circ_0015278, hsa_circ_0043256, hsa_circ_0049657 and hsa_circ_0074930 could distinguish NSCLC patients from healthy individuals in GSE101586, GSEE101684, GSE112214 datasets.
CONCLUSIONS
DECs including hsa_circ_0003028, hsa_circ_0015278, hsa_circ_0043256, hsa_circ_0049657 and hsa_circ_0074930 had diagnostic value in NSCLC. These DECs might play key roles in NSCLC pathogenesis through the mTOR signaling pathway, ErbB signaling pathway and cell cycle.
背景
我们的工作旨在鉴定非小细胞肺癌（NSCLC）中的关键差异表达环状 RNA（circRNA）（DECs）。
材料与方法
对从基因表达综合数据库中获得的 NSCLC 公共数据集进行综合分析，鉴定 NSCLC 中的 DECs。利用生物信息学分析来描述 DECs 的可预测功能，包括 circRNA-miRNA 网络构建和通路富集。在 GSE101586、GSEE101684 和 GSE112214 数据集初步评估候选 DECs 在 NSCLC 和健康个体中的诊断价值。
结果
鉴定出 NSCLC 中共有 43 个上调和 78 个下调的 DECs。NSCLC 起源基因的 mTOR 信号通路、ErbB 信号通路和细胞周期显著富集。在 circRNA-miRNA 网络中，hsa-circ-0002702、hsa-circ-0049271、hsa-circ-0009150 和 hsa-circ-0053958 与 miRNA 具有高连接性，分别与 122、42、41 和 39 个 miRNA 相互作用。hsa_circ_0003028、hsa_circ_0015278、hsa_circ_0043256、hsa_circ_0049657 和 hsa_circ_0074930 可在 GSE101586、GSEE101684 和 GSE112214 数据集中区分 NSCLC 患者与健康个体。
结论
包括 hsa_circ_0003028、hsa_circ_0015278、hsa_circ_0043256、hsa_circ_0049657 和 hsa_circ_0074930 在内的 DECs 对 NSCLC 具有诊断价值。这些 DECs 可能通过 mTOR 信号通路、ErbB 信号通路和细胞周期在 NSCLC 发病机制中发挥关键作用。
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