Wang Yi-De, Li Zheng, Li Feng-Sen
Department of Integrated Pulmonology, Fourth Affiliated Hospital of Xinjiang Medical University Urumqi 830000, China.
Xinjiang National Clinical Research Base of Traditional Chinese Medicine, Xinjiang Medical University Urumqi 830000, China.
Int J Clin Exp Pathol. 2020 Nov 1;13(11):2788-2805. eCollection 2020.
To explore the effect of smoking on gene expression in human alveolar macrophages and the value of identified key genes in the early diagnosis and prognosis of lung cancers.
We downloaded three data sets (GSE8823, GSE2125, and GSE3212) from the Gene Expression Omnibus (GEO) database, including 31 non-smoking and 33 smoking human alveolar macrophage samples. We identified common differentially expressed genes (DEGs), from which we obtained module genes and hub genes by using STRING and Cytoscape. Then we analyzed the protein-protein interaction (PPI) network of DEGs, hub genes, and module genes and used David online analysis tool to carry out functional enrichment analysis of DEGs and module genes.
A total of 85 differentially expressed genes was obtained, including 42 up-regulated genes and 43 down-regulated genes. The Human Protein Atlas and Survival analysis showed that GBP1, ITGAM, CSF1, SPP1, COL1A1, LAMB1 and THBS1 may be closely associated with the carcinogenesis and prognosis of lung cancer.
DEGs, module, and hub genes identified in the present study help explain the effects of smoking on human alveolar macrophages and provide candidate targets for diagnosis and treatment of smoking-related lung cancer.
探讨吸烟对人肺泡巨噬细胞基因表达的影响以及所鉴定的关键基因在肺癌早期诊断和预后中的价值。
我们从基因表达综合数据库（GEO）下载了三个数据集（GSE8823、GSE2125和GSE3212），包括31例非吸烟和33例吸烟的人肺泡巨噬细胞样本。我们鉴定了常见的差异表达基因（DEG），并通过STRING和Cytoscape从中获得模块基因和枢纽基因。然后我们分析了DEG、枢纽基因和模块基因的蛋白质-蛋白质相互作用（PPI）网络，并使用David在线分析工具对DEG和模块基因进行功能富集分析。
共获得85个差异表达基因，其中42个上调基因和43个下调基因。人类蛋白质图谱和生存分析表明，鸟苷结合蛋白1（GBP1）、整合素αM（ITGAM）、集落刺激因子1（CSF1）、分泌性磷蛋白1（SPP1）、I型胶原α1链（COL1A1）、层粘连蛋白β1（LAMB1）和血小板反应蛋白1（THBS1）可能与肺癌的发生和预后密切相关。
本研究中鉴定的DEG、模块和枢纽基因有助于解释吸烟对人肺泡巨噬细胞的影响，并为吸烟相关肺癌的诊断和治疗提供候选靶点。
