基于生物信息学的脑胶质瘤预后风险长链非编码RNA筛选

Bioinformatics study on the screening of long-chain noncoding RNA for prognostic risk of glioma

目的:应用生物信息学方法筛选脑胶质瘤的预后风险长链非编码RNA(lncRNA)。方法:从开放的癌症基因图谱(TCGA)和基因型组织表达(GTEx)数据平台下载脑胶质瘤样本转录水平数据,采用R语言比较分析脑胶质瘤和正常脑胶质样本差异表达基因,使用Cox分析构建风险模型,通过DAVID基因功能和KEGG通路数据库对差异表达基因进行功能注释和通路富集分析。利用qPCR评价HOXA-AS2的表达量与脑胶质瘤的临床组织特征之间的关系。结果:通过比较分析脑胶质瘤样本和正常脑组织样本基因组表达数据,获得差异表达的lncRNA 424个(211个上调,213个下调),mRNA 3827个(1618个上调,2209个下调)。构建了包含9个lncRNA的风险模型,参与介导的信号转导通路主要集中于免疫缺陷病毒感染,神经信号转导等相关通路。qPCR方法验证HOXA-AS2在脑胶质瘤中高表达。结论:筛选出HOXA-AS2可能是脑胶质瘤的预后风险lncRNA,为后续脑胶质瘤的机制研究提供参考依据。

Objective:To screen long-chain non-coding RNA(lncRNA)for prognostic risk of gliomas based on bioinformatics.Methods:Transcript data of glioma samples were downloaded from the open Cancer Gene Atlas(TCGA)and Genotype-Tissue Expression(GTEx)data platform,using R language to compare and analyze glioma and normal differentially expressed genes.The risk model was constructed by Cox analysis.Functional annotation and pathway enrichment analysis of differentially expressed genes were performed through the DAVID gene function and KEGG pathway database.The relationship between the expression of HOXA-AS2 and the clinical tissue characteristics of glioma was evaluated by qPCR.Results:By comparing the gene transcription level data between glioma and normal brain tissue samples,424 differentially expressed lncRNA(211 up-regulated and 213 down-regulated)and 3827 differentially expressed mRNA(1618 up-regulated and 2209 down-regulated)were obtained.A risk model containing 9 lncRNAs was constructed.The results of the enrichment analysis of co-expressed genes showed that they were mainly enriched in the control of channel protein activity and molecular adhesion.The high expression of HOXA-AS2 in glioma was verified by qPCR.Conclusion:HOXA-AS2 may be a prognostic risk lncRNA for glioma,which can be a reference for subsequent studies on the mechanism of glioma.