Fan Haiyin, Zhang Jin, Zou Bin, He Zhisheng
Thoracic Department, Jiangxi Cancer Hospital, Nanchang, Jiangxi, China.
Ultrasound Department, Jiangxi Chest Hospital, Nanchang, Jiangxi, China.
Arch Iran Med. 2022 Jul 1;25(7):432-442. doi: 10.34172/aim.2022.72.
With the continuous advancement of diagnostic methods, more and more early-stage Non-small cell lung cancer (NSCLC) patients are diagnosed. Although many scholars have devoted substantial efforts to investigate the pathogenesis and prognosis of NSCLC, its molecular mechanism is still not well explained.
We retrieved three gene datasets GSE10072, GSE19188 and GSE40791 from the Gene Expression Omnibus (GEO) database and screened and identified differentially expressed genes (DEGs). Then, we performed KEGG and GO functional enrichment analysis, survival analysis, risk analysis and prognosis analysis on the selected hub genes. We constructed a protein-protein interaction (PPI) network, and used the STRING database and Cytoscape software.
The biological process analysis showed that these genes were mainly enriched in cell division and nuclear division. Survival analysis showed that the genes of CEP55 (centrosomal protein 55), NMU (neuromedin U), CAV1 (Caveolin 1), TBX3 (T-box transcription factor 3), FBLN1 (fibulin 1) and SYNM (synemin) may be involved in the development, invasion or metastasis of NSCLC (<0.05, logFC>1). Prognostic analysis and independent prognostic analysis showed that the expression of these hub gene-related mRNAs was related to the prognostic risk of NSCLC. Risk analysis showed that the selected hub genes were closely related to the overall survival time of patients with NSCLC.
The DEGs and hub genes screened and identified in this study will help us to understand the molecular mechanisms of NSCLC, and CEP55 expression affects the survival and prognosis of patients with NSCLC, and participates in tumor immune response.
随着诊断方法的不断进步，越来越多的早期非小细胞肺癌（NSCLC）患者被诊断出来。尽管许多学者致力于研究NSCLC的发病机制和预后，但其分子机制仍未得到很好的解释。
我们从基因表达综合数据库（GEO）中检索了三个基因数据集GSE10072、GSE19188和GSE40791，并筛选和鉴定了差异表达基因（DEG）。然后，我们对选定的枢纽基因进行了KEGG和GO功能富集分析、生存分析、风险分析和预后分析。我们构建了蛋白质-蛋白质相互作用（PPI）网络，并使用STRING数据库和Cytoscape软件。
生物学过程分析表明，这些基因主要富集于细胞分裂和核分裂。生存分析表明，CEP55（中心体蛋白55）、NMU（神经介素U）、CAV1（小窝蛋白1）、TBX3（T盒转录因子3）、FBLN1（纤连蛋白1）和SYNM（伴肌动蛋白）的基因可能参与NSCLC的发生、侵袭或转移（<0.05，logFC>1）。预后分析和独立预后分析表明，这些枢纽基因相关mRNA的表达与NSCLC的预后风险相关。风险分析表明，选定的枢纽基因与NSCLC患者的总生存时间密切相关。
本研究筛选和鉴定的DEG和枢纽基因将有助于我们了解NSCLC的分子机制，CEP55表达影响NSCLC患者的生存和预后，并参与肿瘤免疫反应。
