Liu Yanyan, Yi Yuexiong, Wu Wanrong, Wu Kejia, Zhang Wei
Department of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.
The First Department of Gynecology, Renmin Hospital of Wuhan University, Wuchang, Wuhan, Hubei 430060, P.R. China.
Oncol Lett. 2019 Jul;18(1):617-628. doi: 10.3892/ol.2019.10371. Epub 2019 May 17.
Cervical, endometrial and vulvar cancer are three common types of gynecological tumor that threaten the health of females worldwide. Since their underlying mechanisms and associations remain unclear, a comprehensive and systematic bioinformatics analysis is required. The present study downloaded GSE63678 from the GEO database and then performed functional enrichment analyses, including gene ontology and pathway analysis. To further investigate the molecular mechanisms underlying the three types of gynecological cancer, protein-protein interaction (PPI) analysis was performed. A biological network was generated with the guidance of the Kyoto Encyclopedia of Genes and Genomes database and was presented in Cytoscape. A total of 1,219 DEGs were identified for the three types of cancer, and 25 hub genes were revealed. Pathway analysis and the PPI network indicated that four main types of pathway participate in the mechanism of gynecological cancer, including viral infections and cancer formation, tumorigenesis and development, signal transduction, and endocrinology and metabolism. A preliminary gynecological cancer biological network was constructed. Notably, following all analysis, the phosphoinositide 3-kinase (PI3K)/Akt pathway was identified as a potential biomarker pathway. Seven pivotal hub genes (CCNA2, CDK1, CCND1, FGF2, IGF1, BCL2 and VEGFA) of the three gynecological cancer types were proposed. The seven hub genes may serve as targets in gynecological cancer for prevention and early intervention. The PI3K/Akt pathway was identified as a critical biomarker of the three types of gynecological cancer, which may serve a role in the pathogenesis. In summary, the present study provided evidence that could support the treatment of gynecologic tumors in the future.
宫颈癌、子宫内膜癌和外阴癌是威胁全球女性健康的三种常见妇科肿瘤类型。由于它们的潜在机制和关联尚不清楚，因此需要进行全面系统的生物信息学分析。本研究从基因表达综合数据库（GEO）下载了GSE63678，然后进行了功能富集分析，包括基因本体论和通路分析。为了进一步研究这三种妇科癌症的分子机制，进行了蛋白质-蛋白质相互作用（PPI）分析。在京都基因与基因组百科全书数据库的指导下生成了一个生物网络，并在Cytoscape中呈现。共鉴定出这三种癌症的1219个差异表达基因（DEG），并揭示了25个枢纽基因。通路分析和PPI网络表明，四种主要类型的通路参与了妇科癌症的机制，包括病毒感染与癌症形成、肿瘤发生与发展、信号转导以及内分泌与代谢。构建了一个初步的妇科癌症生物网络。值得注意的是，经过所有分析后，磷酸肌醇3-激酶（PI3K）/蛋白激酶B（Akt）通路被确定为一个潜在的生物标志物通路。提出了三种妇科癌症类型的七个关键枢纽基因（细胞周期蛋白A2（CCNA2）、细胞周期蛋白依赖性激酶1（CDK1）、细胞周期蛋白D1（CCND1）、成纤维细胞生长因子2（FGF2）、胰岛素样生长因子1（IGF1）、B细胞淋巴瘤/白血病-2（BCL2）和血管内皮生长因子A（VEGFA））。这七个枢纽基因可能作为妇科癌症预防和早期干预的靶点。PI3K/Akt通路被确定为这三种妇科癌症的关键生物标志物，可能在发病机制中起作用。总之，本研究提供了可支持未来妇科肿瘤治疗的证据。
