基于数据库筛选吸烟相关肺癌基因并探究其在肺癌中的意义OA北大核心CSTPCD

Objective To screen smoking-related lung cancer genes and explore their significance in lung cancer.Methods Based on the smoking related datasets(GSE18385,GSE76324,and GSE11906)and lung cancer related datasets(GSE27262,GSE31210,and GSE40791)in the Gene Expression Omnibus(GEO)database,differentially expressed genes(DEGs)between smoking and lung cancer were analyzed and intersected using Wayne plots.The expression,prognostic risk,and diagnostic value of DEGs in lung cancer were validated using the The Cancer Genome Atlas(TCGA)database,and further screening of DEGs was conducted and re-verified in lung cancer through the Human Protein Atlas(HPA)database.Based on the TCGA database,prognostic risk analysis for lung cancer subgroups was performed,and genes were subjected to gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,immune infiltration analysis,and immune checkpoint correlation analysis.Results Two smoking-related lung cancer genes(SLC2A1 and SLC7A5)were ultimately screened,and their expression was upregulated in lung cancer.Univariate Cox and multivariate Cox regression analysis showed that the high expression of SLC2A1 and SLC7A5 was an independent prognostic risk factor for lung cancer.In the subgroups of T stage,N stage,pathological stage,and smokers,lung cancer patients with high expression of SLC7A5 and SLC2A1 had significantly shorter overall survival(P＜0.05)compared to those with low expression,suggesting that high expression of SLC7A5 and SLC2A1 is associated with poor prognosis in lung cancer.Gene enrichment analysis shows that genes related to SLC7A5 are mainly enriched in chromosomes and participate in cell cycle and cell aging signaling pathways.The results of immune infiltration analysis suggest that SLC7A5 and SLC2A1 are associated with various immune infiltration cells.The correlation results of immune checkpoints show a positive correlation between SLC7A5 and CD276(r=0.449,P＜0.05),a positive correlation between SLC2A1 and CD276(r=0.543,P＜0.05),and a negative correlation between SLC2A1 and BTLA and BTN2A2(r＜-0.35,P＜0.05).Conclusions The differentially expressed genes SLC7A5 and SLC2A1 in smoking-related lung cancer are highly expressed and serve as independent prognostic risk factors for the disease,possessing significant diagnostic value for lung cancer.They are also related to immune infiltration and immune checkpoints,play an important role in regulating tumor immunity,and have strong clinical transformation application value.SLC7A5 and SLC2A1 can serve as a biomarker to provide new ideas for clinical prognosis evaluation and immunotherapy of smoking related lung cancer.