We aimed to identify critical genes for metastasis and prognosis of high-grade serous ovarian cancer (HGSOC). The mRNA data of GSE73064 including 15 HGSOC samples (5 primary tumor cells, 5 ascites tumor cells, and 5 metastasis tumor cells) were applied for the present analysis. The data were first preprocessed using robust multiarray average (RMA) method, and time-series gene expression analyses were performed using short time-series expression miner (version 1.3.11). Then, functional analysis for clustered genes was conducted, and protein–protein interaction (PPI) network was constructed. Subnetwork module was also analyzed. After that, we analyzed the miRNA regulatory network. Finally, survival analysis was performed. In this study, PPBP, ITGB2, and ITGAM were genes with higher degrees in the PPI network. miR-4469, miR-6734-5p, and miR-1304-5p were several of important miRNAs in the miRNA-target regulatory network. In addition, survival analysis showed that nine genes such as CLEC5A, FPR1, and CXCL12 might be important for HGSOC prognosis. PPBP, ITGB2, and ITGAM may be critical for HGSOC metastasis. CLEC5A, FPR1, and CXCL12 may be important for the prognosis of HGSOC. Furthermore, miR-4469, miR-6734-5p, and miR-1304-5p may be important miRNAs associated with HGSOC.

中文翻译：

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通过基因表达谱数据筛选与高级别浆液性卵巢癌转移和预后相关的关键基因。

我们旨在确定高级别浆液性卵巢癌 (HGSOC) 转移和预后的关键基因。GSE73064 的 mRNA 数据包括 15 个 HGSOC 样品（5 个原发肿瘤细胞、5 个腹水肿瘤细胞和 5 个转移肿瘤细胞）用于本分析。首先使用稳健的多阵列平均 (RMA) 方法对数据进行预处理，并使用短时间序列表达挖掘器（版本 1.3.11）进行时间序列基因表达分析。然后，对聚类基因进行功能分析，并构建蛋白质-蛋白质相互作用（PPI）网络。还分析了子网模块。之后，我们分析了miRNA调控网络。最后，进行生存分析。在这项研究中，PPBP，ITGB2和ITGAM是 PPI 网络中度数较高的基因。miR-4469、miR-6734-5p和miR-1304-5p是 miRNA 靶标调控网络中的几种重要 miRNA。此外，生存分析显示CLEC5A、FPR1和CXCL12等 9 个基因可能对 HGSOC 预后很重要。PPBP，ITGB2，和ITGAM可以是用于HGSOC转移是至关重要的。CLEC5A、FPR1和CXCL12可能对 HGSOC 的预后很重要。此外，miR-4469、miR-6734-5p和miR-1304-5p可能是与 HGSOC 相关的重要 miRNA。