Song Hao, Wu Junfeng, Liu Wang, Cai Kaier, Xie Zhilong, Liu Yingao, Huang Jiandi, Gan Siyuan, Xiong Yinghuan, Sun Yanqin
The Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Department of Respiratory, The Second Affilated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Heliyon. 2023 May 29;9(6):e16789. doi: 10.1016/j.heliyon.2023.e16789. eCollection 2023 Jun.
By screening the core genes in lung adenocarcinoma (LUAD) with bioinformatics, our study evaluated its prognosis value and role in infiltration process of immune cells.
Using GEO database, we screened 5 gene chips, including GSE11072, GSE32863, GSE43458, GSE115002, and GSE116959. Then, we obtained the corresponding differentially expressed genes by analyzed 5 gene chips online by GEO2R (P < 0.05, |logFC| > 1). Then, through DAVID online platform, Cytoscape 3.6.1 software and PPI network analysis, the network was visualized and obtain the final core genes. Next, we plan to use the GEPIA, UALCAN, Kaplan-Meier plotter and Time 2.0 database for corresponding analysis. The GEPIA database was used to verify the expression of core genes in LUAD and normal lung tissues, and survival analysis was used to evaluate the value of core genes in the prognosis of LUAD patients. UALCAN was used to verify the expression of the LUAD core gene and promoter methylation status, and the predictive value of core genes was evaluated in LUAD patients by the Kaplan-Meier plotter online tool. Then, we used the Time 2.0 database to identify the relationship to immune infiltration in LUAD. Finally, we used the human protein atlas (HPA) database for online immunohistochemical analysis of the expressed proteins.
The expression of CCNB2 and CDC20 in LUAD were higher than those in normal lung tissues, their increased expression was negatively correlated with the overall survival rate of LUAD, and they were involved in cell cycle signal transduction, oocyte meiosis signal transduction as well as the infiltration process of immune cells in LUAD. The expression proteins of CCNB2 and CDC20 were also different in lung cancer tissue and normal lung tissue. Therefore, CCNB2 and CDC20 were identified as the vital core genes.
CCNB2 and CDC20 are essential genes that may constitute prognostic biomarkers in LUAD, they also participate the immune infiltration process and protein expression process of LUAD, and might provides basis for clinical anti-tumor drug research.
通过生物信息学方法筛选肺腺癌（LUAD）中的核心基因，评估其预后价值及在免疫细胞浸润过程中的作用。
利用GEO数据库，筛选出5个基因芯片，包括GSE11072、GSE32863、GSE43458、GSE115002和GSE116959。然后，通过GEO2R在线分析这5个基因芯片，获得相应的差异表达基因（P < 0.05，|logFC| > 1）。接着，通过DAVID在线平台、Cytoscape 3.6.1软件和蛋白质-蛋白质相互作用（PPI）网络分析，将网络可视化并获得最终的核心基因。接下来，计划使用GEPIA、UALCAN、Kaplan-Meier plotter和Time 2.0数据库进行相应分析。GEPIA数据库用于验证LUAD和正常肺组织中核心基因的表达，并采用生存分析评估核心基因在LUAD患者预后中的价值。UALCAN用于验证LUAD核心基因的表达及启动子甲基化状态，并通过在线工具Kaplan-Meier plotter评估核心基因在LUAD患者中的预测价值。然后，利用Time 2.0数据库确定其与LUAD免疫浸润的关系。最后，使用人类蛋白质图谱（HPA）数据库对表达的蛋白质进行在线免疫组化分析。
CCNB2和CDC20在LUAD中的表达高于正常肺组织，它们的表达增加与LUAD的总生存率呈负相关，且参与LUAD中的细胞周期信号转导、卵母细胞减数分裂信号转导以及免疫细胞浸润过程。CCNB2和CDC20的表达蛋白在肺癌组织和正常肺组织中也存在差异。因此，CCNB2和CDC20被确定为重要的核心基因。
CCNB2和CDC20是可能构成LUAD预后生物标志物的关键基因，它们还参与LUAD的免疫浸润过程和蛋白质表达过程，并可能为临床抗肿瘤药物研究提供依据。
