青岛大学学报（医学版）2023，Vol.59Issue(6)：850-854,5.DOI:10.11712/jms.2096-5532.2023.59.204
基于生物信息学方法构建肝细胞癌SNHG17-miRNA-CDK4预后预测模型
ESTABLISHMENT OF A PROGNOSTIC PREDICTION MODEL FOR HEPATOCELLULAR CARCINOMA BASED ON SNHG17-MIRNA-CDK4 AND BIOINFORMATICS METHODS
摘要
Abstract
Objective To investigate the role of the long non-coding RNA(lncRNA)small nucleolar RNA host gene 17(SNHG17)in the development and progression of hepatocellular carcinoma(HCC).Methods GEPIA database was used to ana-lyze the expression of SNHG17 in HCC and its association with survival;the data in GEO database were used for validation;GEO2R,lnCAR,and Metascape were used to analyze SNHG17-related genes,construct a visualized network,and perform GO and KEGG enrichment analyses.Based on related pathways,multiple GEO datasets were used to screen for CDK4,and StarBase,miRBD,and HMDD database platforms were used to obtain the microRNAs(miRNAs)targeting both SNHG17 and CDK4.Results There was a significant increase in the expression of lncRNA SNHG17 in HCC(P<0.05),and the patients with high SNHG17 expression tended to have a poorer prognosis(P<0.05).GO and KEGG enrichment analyses showed that SNHG17 was associated with nuclear protein complex and cell cycle.The highly related gene CDK4 was obtained,as well as the miRNAs targe-ting SNHG17 and CDK4.Conclusion There is an increase in the expression of SNHG17 in HCC,and SNHG17 can play the role of competitive endogenous RNA by binding to a variety of miRNAs,thereby exerting a regulatory effect on CDK4.关键词
癌,肝细胞/RNA,长链非编码/微RNAs/细胞周期蛋白依赖激酶4/预后/计算生物学Key words
carcinoma,hepatocellular/RNA,long noncoding/miRNAs/cyclin-dependent kinase 4/prognosis/compu-tational biology分类
医药卫生引用本文复制引用
刘建东,韩翠云,钟敬涛,徐慧荣..基于生物信息学方法构建肝细胞癌SNHG17-miRNA-CDK4预后预测模型[J].青岛大学学报（医学版）,2023,59(6):850-854,5.基金项目
国家自然科学基金青年科学基金项目(81802458) （81802458）
