青岛大学学报（医学版）2023，Vol.59Issue(5)：666-670,5.DOI:10.11712/jms.2096-5532.2023.59.153
基于4个自噬相关LncRNA表达信息学分析构建肺鳞癌预后风险评分模型
ESTABLISHMENT OF A PROGNOSTIC RISK SCORING SYSTEM FOR LUNG SQUAMOUS CELL CARCINOMA BASED ON IN-FORMATICS ANALYSIS OF THE EXPRESSION OF FOUR AUTOPHAGY-RELATED LONG NON-CODING RNAS
摘要
Abstract
Objective To establishan autophagy-related long non-coding RNA(LncRNA)riskscoringsystem for evalua-ting the prognosis of patients with lung squamous cell carcinoma(LUSC)by using The Cancer Genome Atlas(TCGA)database.Methods The TCGA database andthe Human Autophagy Database(HADb)were used to download the data on autophagy gene expression profile and related clinical data in LUSCtissue and normal lung tissue,and the differential expression of autophagy genes in LUSC was calculated to screen for the LncRNAs associated with autophagy genes.The univariate Cox proportional-hazards re-gression modeland LASSO regression analysis were used for screening and establishing a prognostic model based onautophagy-rela-ted LncRNAs.Results The autophagy gene expression profiles of 502 LUSC tissuesamples and 49 normal lung tissuesamples were obtained from the TCGA database.The Limma package in R software was used to perform an analysis of the differentially ex-pressed genes(the absolute value of log2(fold change)＞1.5 andafalse discovery rate of＜0.05),which obtained 30 differentially expressedautophagy genes and 89 LncRNAs associated with these autophagy genes.The univariate Cox analysis and LASSO regres-sion analysis obtained a prognostic risk model based on four LncRNAs,i.e.,risk score=0.26 X AC245060.2+0.18 X AL390719.2+0.23 XAC012181.1+0.21 XAL365356.4.This model could accurately distinguish high-risk LUSC patients from low-risk LUSC pa-tients and could be used as an independent predictive factor forthe prognosis of LUSC.Quantitative real-time PCR showedthat the expression levels of AC245060.2,AL390719.2,AC012181.1,and AL365356.4 in LUSC tissue were significantlyhigher than tho-sein normal lung tissue(t=17.35-69.28,P＜0.05).Conclusion Thisstudy establishes a prognostic model based on autophagy-related LncRNAs,which provides a reference for evaluating the prognosis of LUSC in clinical practice.关键词
自噬/预后/癌,鳞状细胞/肺肿瘤/计算生物学Key words
autophagy/prognosis/carcinoma,squamous cell/lung neoplasms/computational biology分类
医药卫生引用本文复制引用
吴瑶,何杰,张维..基于4个自噬相关LncRNA表达信息学分析构建肺鳞癌预后风险评分模型[J].青岛大学学报（医学版）,2023,59(5):666-670,5.基金项目
国家自然科学基金青年科学基金项目(81-600388) （81-600388）
国临培专项基金(CYFY2018GLPHX04) （CYFY2018GLPHX04）
成都医学院第一附属医院高层次引进人才科研启动基金(CYFY-GQ59) （CYFY-GQ59）
