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作 者:李永乐 韦万硕 蒋利和 LI Yongle;WEI Wanshuo;JIANG Lihe(School of Basic Medicine,Youjiang Medical University for Nationalities,Baise 533000,Guangxi,China;School of Clinical Medicine,Youjiang Medical University for Nationalities,Baise 533000,Guangxi,China)
机构地区:[1]右江民族医学院基础医学院,广西百色533000 [2]右江民族医学院临床医学院,广西百色533000
出 处:《右江民族医学院学报》2024年第4期486-496,共11页Journal of Youjiang Medical University for Nationalities
基 金:右江民族医学院高层次引进人才项目经费(yy2021sk002);广西壮族自治区大学生创新创业训练计划项目(S202310599056)。
摘 要:目的本研究旨在探讨血清素转运蛋白1(SERINC1)在肺癌预后中的作用。方法从GEO数据库下载了肺癌的单细胞测序scRNA数据,提取上皮细胞显著表达基因。同时Xena数据库下载TCGA数据,并进行了差异分析。将以上两者差异显著表达基因取交集,得到了上皮细胞差异基因。使用LASSO、随机森林、GBM、XGBoost等多种机器学习算法取交集,得到了FAM107A、SERINC1、MDK、GGCT、AVL9和FEZ16个交集基因。由于SERINC1在肺癌中还未被研究,对SERINC1进行了一系列的临床相关性分析,包括诊断ROC分析、表达分析、富集分析、生存分析、蛋白表达、蛋白互作分析以及免疫浸润分析。结果通过单细胞测序和机器学习筛选出了目标基因SERINC1。ROC分析SERINC1的AUC值高达0.972,显示出很高的诊断效能。K-M曲线显示,SERINC1表达高的患者的预后明显好于表达量低的患者,其HR值为0.71(95%CI:0.63~0.81)和0.48(95%CI:0.39~0.61),这表明基因表达量越高的患者预后更好。免疫浸润分析揭示,SERINC1与多种免疫细胞相关,且与多种T细胞的标志基因集相关。结论SERINC1是肺癌的一个有前景的预后标志物,且与免疫浸润相关。Objective This study aims to explore the role of SERINC1(serotonin transporter 1)in the prognosis of lung cancer.Methods Single-cell RNA sequencing(scRNA)data of lung cancer were downloaded from the GEO database and genes significantly expressed in epithelial cells were extracted.Concurrently,TCGA data were downloaded from the Xena database and subjected to differential analysis.The intersection of significantly expressed genes from both sources identified differential genes in epithelial cells.Intersection of multiple machine learning algorithms,including Lasso,Random Forest,GBM,and XGBoost,yielded six intersecting genes:FAM107A,SERINC1,MDK,GGCT,AVL9,and FEZ1.As the effect of SERINC1 in lung cancer has not been studied,a series of clinical correlation analyses were conducted on SERINC1,including diagnostic ROC analysis,expression analysis,enrichment analysis,survival analysis,protein expression,protein-protein interaction analysis,and immune infiltration analysis.Results The target gene SERINC1 was identified through single-cell sequencing and machine learning.The AUC value of ROC analysis for SERINC1 was as high as 0.972,indicating a high diagnostic efficacy.The Kaplan-Meier curve indicated that patients with high SERINC1 expression had significantly better prognosis than those with low expression,with HR values of 0.71(95%CI:0.63~0.81)and 0.48(95%CI:0.39~0.61),suggesting that higher gene expression is associated with better prognosis.Immune infiltration analysis revealed that SERINC1 is related to various immune cells and is associated with marker gene-sets of various T cells.Conclusion SERINC1 is a promising prognostic marker for lung cancer and is related to immune infiltration.
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