Guo Pengyi, Xu Tinghui, Jiang Ying, Shen Wenming
Department of Cardiothoracic Surgery, Ningbo Yinzhou No. 2 Hospital, Ningbo, China.
Department of General Surgery, Ningbo Yinzhou No. 2 Hospital, Ningbo, China.
Transl Cancer Res. 2022 Jan;11(1):227-241. doi: 10.21037/tcr-21-2676.
Lung cancer is one of the most common malignant tumors in the world, of which the rate of incidence has continuously increased over recent years. Lung adenocarcinoma (LUAD) is the most frequent pathological type of lung cancer.
In order to discover the key markers for the occurrence and development of LUAD, we collected messenger RNA (mRNA) expression datasets in the Gene Expression Omnibus (GEO), namely, GSE2514, GSE7670, and GSE40275. The differentially expressed genes (DEGs) were screened using the online interface between GEO and R (GEO2R). Then, DEGs were functionally annotated in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Next, a protein-protein interaction (PPI) network was drawn by using the Search Tool for the Retrieval of Interacting Genes (STRING) web tool and Cytoscape software. Finally, Kaplan-Meier plotter was utilized to analyze the overall survival (OS) of the hub genes. The correlation between fibroblast growth factor 2 () and immune infiltration was studied by TIMER web services.
In this study, we obtained a total of 284 DEGs through the intersection of 3 datasets, and found that DEGs were highly related to biological processes such as "cell adhesion", "cell differentiation", and "cell proliferation". After that, the hub genes were obtained by analyzing the PPI network. Finally, we found that the abnormal expression of hub genes is obviously related to poor prognosis in LUAD patients. The expression level of was positively correlated with the immune infiltration in LUAD.
In general, the DEGs and hub genes can provide new research targets for the development of LUAD, as well as potential diagnosis and treatment strategies for disease treatment. In particular, expression was found to be involved in the immune microenvironment of LUAD.
肺癌是世界上最常见的恶性肿瘤之一，近年来其发病率持续上升。肺腺癌（LUAD）是肺癌最常见的病理类型。
为了发现LUAD发生和发展的关键标志物，我们收集了基因表达综合数据库（GEO）中的信使核糖核酸（mRNA）表达数据集，即GSE2514、GSE7670和GSE40275。使用GEO与R的在线接口（GEO2R）筛选差异表达基因（DEG）。然后，在注释、可视化和综合发现数据库（DAVID）中对DEG进行功能注释。接下来，使用相互作用基因检索工具（STRING）网络工具和Cytoscape软件绘制蛋白质-蛋白质相互作用（PPI）网络。最后，利用Kaplan-Meier绘图仪分析枢纽基因的总生存期（OS）。通过TIMER网络服务研究成纤维细胞生长因子2（FGF2）与免疫浸润之间的相关性。
在本研究中，我们通过3个数据集的交集共获得284个DEG，并发现这些DEG与“细胞黏附”“细胞分化”和“细胞增殖”等生物学过程高度相关。之后，通过分析PPI网络获得枢纽基因。最后，我们发现枢纽基因的异常表达与LUAD患者的不良预后明显相关。FGF2的表达水平与LUAD中的免疫浸润呈正相关。
总的来说，DEG和枢纽基因为LUAD的发展提供了新的研究靶点，以及疾病治疗的潜在诊断和治疗策略。特别是，发现FGF2表达参与了LUAD的免疫微环境。
