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    单鸿剑, 冯虎, 高啸, 袁峰, 蒋允昌. 滑膜肉瘤预后生物标志物的鉴别[J]. 徐州医科大学学报, 2021, 41(2): 91-95. DOI: 10.3969/j.issn.2096-3882.2021.02.003
    引用本文: 单鸿剑, 冯虎, 高啸, 袁峰, 蒋允昌. 滑膜肉瘤预后生物标志物的鉴别[J]. 徐州医科大学学报, 2021, 41(2): 91-95. DOI: 10.3969/j.issn.2096-3882.2021.02.003
    Identification of prognostic biomarkers of synovial sarcoma[J]. Journal of Xuzhou Medical University, 2021, 41(2): 91-95. DOI: 10.3969/j.issn.2096-3882.2021.02.003
    Citation: Identification of prognostic biomarkers of synovial sarcoma[J]. Journal of Xuzhou Medical University, 2021, 41(2): 91-95. DOI: 10.3969/j.issn.2096-3882.2021.02.003

    滑膜肉瘤预后生物标志物的鉴别

    Identification of prognostic biomarkers of synovial sarcoma

    • 摘要: 目的 滑膜肉瘤(SS) 是一种间充质恶性肿瘤 。虽然它是公认的易位相关肉瘤,但我们对SS转移的分子机制仍然知之甚少。本研究的目的是分析转移SS和无转移SS基因芯片,鉴别与SS转移和预后相关的核心基因。方法 首先,下载mRNA表达谱数据库GSE40025/GPL6480芯片数据集。然后,对基因芯片中的转移SS样本和无转移SS样本进行差异表达基因(differentially expressed?genes,DEG)筛选。对DEGs进行功能注释,构建蛋白质-蛋白质相互作用(protein-protein interaction, PPI)网络,以找出与SS转移和预后相关的关键通路和核心基因。最后,我们使用癌症基因组图谱数据库(The Cancer Genome Atlas, TCGA)对核心基因进行生存分析。结果 细胞粘附分子、细胞因子-细胞因子受体相互作用、PI3K-AKT信号通路与Th17型细胞分化可能是参与SS转移的关键信号通路。另外,我们发现CDK1, IL6, KIF11, KIF20A, CCNA2, AURKA, CENPE, KIF4A和CCNB2是最有可能参与SS转移并与与生存率相关的9个核心基因,他们可能成为SS的治疗靶点和预后标志物。结论 SS的转移和发展与染色体复杂性密切相关,本研究首次鉴定了与SS转移密切相关的信号通路和核心基因,为SS提供了新的治疗靶点和预后标志物。

       

      Abstract: objective Synovial sarcoma (SS) is a mesenchymal malignant tumor. Although it is recognized as a translocation-related sarcoma, we still know little about the molecular mechanism of SS metastasis. The purpose of this study is to analyze metastatic SS and non-metastatic SS gene chips to identify core genes related to SS metastasis and prognosis. Methods First, download the mRNA expression profile database GSE40025/GPL6480 chip data set. Then, differentially expressed genes (DEGs) were screened between metastatic SS samples and non-metastatic SS samples in the microarray. Functional annotation of DEGs was carried out to construct a protein-protein interaction (PPI) network to identify the key pathways and core genes related to SS metastasis and prognosis. Finally, we use The Cancer Genome Atlas (TCGA) database to analyze the survival of core genes. Results Cell adhesion molecules (CAMs), Cytokine-cytokine receptor interaction ,PI3K-Akt signaling pathway and Th17 cell differentiation may be the key signal pathways involved in SS metastasis. In addition, we found that CDK1, IL6, KIF11, KIF20A, CCNA2, AURKA, CENPE, KIF4A and CCNB2 are the 9 core genes most likely to participate in SS metastasis and related to survival, and they may become therapeutic targets and prognostic markers for SS. Conclusion The metastasis and development of SS are closely related to the complexity of chromosomes. In this study, the signal pathways and core genes closely related to SS metastasis were identified for the first time, providing new therapeutic targets and prognostic markers for SS

       

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