基于GEO数据库的多发性骨髓瘤细胞焦亡预后分析  

Prognostic analysis of pyrotopia in multiple myeloma cells based on GEO database

作　　者：李洁 周合冰[1] LI Jie;ZHOU Hebing(Department of Hematology, Beijing Luhe Hospital, Capital Medical University, Beijing 101100,China)

机构地区：[1]首都医科大学附属北京潞河医院血液科,北京101100

出　　处：《临床肿瘤学杂志》2022年第6期506-513,共8页Chinese Clinical Oncology

摘　　要：目的采用生物信息学分析技术筛选多发性骨髓瘤(multiple myeloma,MM)细胞焦亡差异表达基因,并进行预后分析。方法在基因表达谱数据库(GEO)中选取MM细胞焦亡相关基因表达谱芯片数据,采用R软件筛选MM患者肿瘤组织和健康对照组中细胞焦亡差异表达基因。对筛选出的差异表达基因通过Cox回归分析识别预后相关基因,进行预后分析。结果以GSE6477基因表达谱数据集为分析对象,选取与焦亡相关基因匹配共获得焦亡相关基因。将29个差异基因进行预后分析,14个基因(INAVA、P2RY2、NES、NFIX、SPATA17、NLRP2、INHBC、GZMB、CCDC74A、TNF、SNHG28、MUC1、NANOS1、CD6)纳入风险模型构建,生存分析显示年龄、肿瘤分期、风险评分与MM患者预后显著相关。结论通过生物信息学方法,构建了14个细胞焦亡相关基因的MM预后模型,可能为MM患者的个体化治疗和评估提供参考。MM细胞焦亡基因通过生物学过程影响预后。Objective Bioinformatics analysis was used to screen differentially expressed genes in multiple myeloma(MM)cells and analyze the prognosis.Methods The pyrotopia gene expression profile chip data of MM cells were selected from gene expression profile database(GEO).R software was used to screen the differentially expressed genes of MM cells in tumor tissues and healthy controls.The differentially expressed genes were identified by Cox regression analysis and prognostic analysis was carried out.Results With GSE6477 gene expression profile data set as the analysis object,coke death related genes were selected and matched to co-obtain coke death related genes.Twenty-nine differential genes were analyzed for prognosis,and 14 genes(INAVA,P2RY2,NES,NFIX,SPATA17,NLRP2,INHBC,GZMB,CCDC74A,TNF,SNHG28,MUC1,NANOS1,AND CD6)were included in the risk model construction.Survival analysis showed that age,tumor stage and risk score were significantly correlated with the prognosis of MM patients.Conclusion The prognostic model of MM was constructed by bioinformatics,which may provide reference for the individualized treatment and evaluation of MM patients.Pyrotopia gene in MM cells affects prognosis through biological processes.

关 键 词：多发性骨髓瘤 细胞焦亡 预后 生物信息学分析 

分 类 号：R733.3[医药卫生—肿瘤]