[1]唐怀慧,王忠帅,邵茜茜,等.基于TCGA数据库肺腺癌RNAs构建ceRNA网络的综合分析[J].医学信息,2020,33(07):90-93.[doi:10.3969/j.issn.1006-1959.2020.07.025]
　TANG Huai-hui,WANG Zhong-shuai,SHAO Qian-qian,et al.Comprehensive Analysis of Constructing ceRNA Network Based on TCGA Database of Lung Adenocarcinoma RNAs[J].Medical Information,2020,33(07):90-93.[doi:10.3969/j.issn.1006-1959.2020.07.025]
点击复制

基于TCGA数据库肺腺癌RNAs构建ceRNA网络的综合分析()
分享到：

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
33卷
期数:
2020年07期
页码:
90-93
栏目:
论著
出版日期:
2020-04-01

文章信息/Info

Title:
Comprehensive Analysis of Constructing ceRNA Network Based on TCGA Database of Lung Adenocarcinoma RNAs
文章编号:
1006-1959（2020）07-0090-04
作者:
唐怀慧; 王忠帅; 邵茜茜; 等
（1.锦州医科大学附属第一医院，辽宁 锦州 121000；2.鞍山市肿瘤医院，辽宁 鞍山 114000；3.锦州医科大学附属第三医院，辽宁 锦州 121000）
Author(s):
TANG Huai-hui; WANG Zhong-shuai; SHAO Qian-qian; et al
(1.The First Affiliated Hospital of Jinzhou Medical University,Jinzhou 121000,Liaoning,China;2.Anshan Cancer Hospital,Anshan 114000,Liaoning,China;3.The Third Affiliated Hospital of Jinzhou Medical University,Jinzhou 121000,Liaoning,China)
关键词:
TCGA; 肺腺癌; ceRNA网络; 预后
Keywords:
TCGA; Lung adenocarcinoma; ceRNA network; Prognosis
分类号:
R734.2
DOI:
10.3969/j.issn.1006-1959.2020.07.025
文献标志码:
A
摘要:
目的 基于TCGA数据库挖掘肺腺癌差异表达的RNAs，通过ceRNA网络的综合分析并预测其与患者预后的相关性。方法 利用TCGA数据库下载肺腺癌的表达数据，使用R软件“edgeR”包初步筛选差异表达的RNAs，进一步构建肺腺癌的lncRNA-miRNA -mRNA的ceRNA网络，对ceRNA网络中的mRNAs进行了K-M生存分析。结果 筛选的差异表达的RNAs中有3个mRNA（ANLN、IGFBP1、TFAP2A）、4个lncRNA （AC015923.1、FGF12-AS2、LINC00211、MED4-AS1）、2个miRNA（hsa-mir-31、hsa-mir-490），均与预后相关。其中hsa-mir-31预后价值最高（P＜0.001），LINC00461和has-mir-139为关键节点的ceRNA调控网络。结论 本次筛选出的3个mRNA、4个lncRNA和2个miRNA可作为肺腺癌的新候选预后因子，且LINC00461和has-mir-139是肺腺癌ceRNA 中两个重要的调控网络节点。
Abstract:
Objective To explore the differentially expressed RNAs of lung adenocarcinoma based on TCGA database, comprehensively analyze and predict the correlation with the prognosis of patients through ceRNA network.Methods The TCGA database was used to download the expression data of lung adenocarcinoma, Use the R software "edgeR" package to preliminarily screen differentially expressed RNAs to further construct the ceRNA network of lncRNA-miRNA-mRNA of lung adenocarcinoma, K-M survival analysis was performed on the mRNAs in the ceRNA network. Results The screened differentially expressed RNAs included 3 mRNA(ANLN, IGFBP1, TFAP2A), 4 lncRNA(AC015923.1, FGF12-AS2, LINC00211, MED4-AS1), and 2 miRNA(hsa-mir-31, hsa- mir-490), both related to prognosis. Among them, hsa-mir-31 has the highest prognostic value (P<0.001), and LINC00461 and has-mir-139 are key node ceRNA regulatory networks.Conclusion The 3 mRNA, 4 lncRNA and 2 miRNA selected this time can be used as new prognostic factors for lung adenocarcinoma, and LINC00461 and has-mir-139 are two important regulatory network nodes in ceRNA of lung adenocarcinoma.

参考文献/References:

[1]Liu H,Zhou G,Fu X,et al.Long noncoding RNA TUG1 is a diagnostic factor in lung adenocarcinoma and suppresses apoptosis via epigenetically silencing of BAX[J].Oncotarget,2017(8):101899-101910.[2]Torre LA,Bray F,Siegel RL,et al.Global Cancer Statistics,2012[J].CA Cancer J Clin,2015,65(2):87-108. [3]Yang J,Lin J,Liu T,et al.Analysis of lncRNA expression profiles in non-small cell lung cancers (NSCLC) and their clinical subtypes[J].Lung Cancer,2014,85(2):110-115. [4]Chen X,Chen Z,Yu S,et al.Long noncoding RNA LINC01234 functions as a competing endogenous RNA to regulate CBFB expression by sponging miR-204-5p in gastric cancer[J].Clin Cancer Res,2018,24(8):2002-2014.[5]Tomczak K,Czerwińska P,Wiznerowicz M.Review The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge[J].Contemp Oncol(Pozn),2015,19(1A):A68-A77. [6]Wakeam E,Acuna SA,Leighl NB,et al.Surgery Versus Chemotherapy and Radiotherapy For Early and Locally Advanced Small Cell Lung Cancer:A Propensity-Matched Analysis of Survival[J].Lung Cancer,2017(109):78-88. [7]Zhang Z,Wang S,Ji D,et al.Construction of a ceRNA network reveals potential lncRNA biomarkers in rectal adenocarcinoma[J].Oncology Reports,2018,39(5):2101-2113.[8]Yang J,Li T,Gao C,et al.FOXO1 3′UTR functions as a ceRNA in repressing the metastases of breast cancer cells via regulating miRNA activity[J].FEBS Letters,2014,588(17):3218-3224.[9]Lv J,Fan HX,Zhao XP,et al.Long non-coding RNA Unigene56159 promotes epithelial–mesenchymal transition by acting as a ceRNA of miR-140-5p in hepatocellular carcinoma cells[J].Cancer Letters,2016,382(2):166-175.

相似文献/References:

[1]刘治利,葛明建.肺部磨玻璃结节的CT特征与治疗策略进展[J].医学信息,2018,31(11):49.[doi:10.3969/j.issn.1006-1959.2018.11.016]
　LIU Zhi-li,GE Ming-jian.Advances in CT Features and Treatment Strategies of Pulmonary Ground-glass Nodule[J].Medical Information,2018,31(07):49.[doi:10.3969/j.issn.1006-1959.2018.11.016]
[2]彭玉龙,张 露,陈荣辉,等.吉西他滨与培美曲塞联合卡铂治疗晚期肺腺癌的临床观察[J].医学信息,2018,31(11):124.[doi:10.3969/j.issn.1006-1959.2018.11.039]
　PENG Yu-long,ZHANG Lu,CHEN Rong-hui,et al.Clinical Observation of Gemcitabine and Pemetrexed Combined with Carboplatin in Treatment of Advanced Lung Adenocarcinoma[J].Medical Information,2018,31(07):124.[doi:10.3969/j.issn.1006-1959.2018.11.039]
[3]葛丽艳,王 琦,朱 宏,等.基于数据挖掘分析GPR35表达对肺腺癌预后的影响[J].医学信息,2018,31(23):86.[doi:10.3969/j.issn.1006-1959.2018.23.024]
　GE Li-yan,WANG Qi,ZHU Hong,et al.The Effect of GPR35 Expression on Prognosis of Lung Adenocarcinoma was Analyzed Based on Data Mining[J].Medical Information,2018,31(07):86.[doi:10.3969/j.issn.1006-1959.2018.23.024]
[4]刘贤丰,李子俊.恩度联合培美曲塞与顺铂治疗晚期肺腺癌的临床效果观察[J].医学信息,2019,32(03):148.[doi:10.3969/j.issn.1006-1959.2019.03.048]
　LIU Xian-feng,LI Zi-jun.Clinical Observation of Endo Combined with Pemetrexed and Cisplatin in the Treatment of Advanced Lung Adenocarcinoma[J].Medical Information,2019,32(07):148.[doi:10.3969/j.issn.1006-1959.2019.03.048]
[5]黄琪峰,郑琳琳,张 菁.生物信息学分析筛选肺腺癌靶基因及评估预后的价值[J].医学信息,2019,32(22):62.[doi:10.3969/j.issn.1006-1959.2019.22.020]
　HUANG Qi-feng,ZHENG Lin-lin,ZHANG Jing.Bioinformatics Analysis of Screening Lung Adenocarcinoma Target Genes and Evaluating Prognostic Value[J].Medical Information,2019,32(07):62.[doi:10.3969/j.issn.1006-1959.2019.22.020]
[6]莫俊贤,冼 磊.miRNA-21及PTEN在肺腺癌组织中的表达及意义[J].医学信息,2020,33(09):77.[doi:10.3969/j.issn.1006-1959.2020.09.022]
　MO Jun-xian,XIAN Lei.Expression and Significance of miRNA-21 and PTEN in Lung Adenocarcinoma[J].Medical Information,2020,33(07):77.[doi:10.3969/j.issn.1006-1959.2020.09.022]
[7]张祥鑫,董星星,耿 涛,等.基于与铁死亡相关基因的肺腺癌的新型预后模型构建[J].医学信息,2021,34(15):96.[doi:10.3969/j.issn.1006-1959.2021.15.025]
　ZHANG Xiang-xin,DONG Xing-xing,GENG Tao,et al.Construction of A Novel Prognostic Model of Lung Adenocarcinoma Based on Genes Related to Iron Death[J].Medical Information,2021,34(07):96.[doi:10.3969/j.issn.1006-1959.2021.15.025]
[8]林思其,张泽鑫,夏睿琪,等.三种miRNA对肝癌预后预测的生物信息学分析模型[J].医学信息,2022,35(03):81.[doi:10.3969/j.issn.1006-1959.2022.03.019]
　LIN Si-qi,ZHANG Ze-xin,XIA Rui-qi,et al.A Model of Three miRNA on the Prognosis Prediction of Hepatocellular Carcinomaby Bioinformatics Analysis[J].Medical Information,2022,35(07):81.[doi:10.3969/j.issn.1006-1959.2022.03.019]
[9]李 松,李瑞杰,赵小磊.CDKN2A基因突变与肾细胞癌药物敏感性和预后的关系[J].医学信息,2022,35(16):1.[doi:10.3969/j.issn.1006-1959.2022.16.001]
　LI Song,LI Rui-jie,ZHAO Xiao-lei.Relationship Between CDKN2A Gene Mutation and Drug Sensitivity and Prognosis of Renal Cell Carcinoma[J].Medical Information,2022,35(07):1.[doi:10.3969/j.issn.1006-1959.2022.16.001]
[10]李 敖,王玉然,王文浩.基于公共数据库分析自噬相关基因在肺腺癌患者中的预后意义[J].医学信息,2022,35(22):17.[doi:10.3969/j.issn.1006-1959.2022.22.003]
　LI Ao,WANG Yu-ran,WANG Wen-hao.Prognostic Significance of Autophagy-related Genes in Patients with Lung Adenocarcinoma Based on Public Database Analysis[J].Medical Information,2022,35(07):17.[doi:10.3969/j.issn.1006-1959.2022.22.003]
[11]张登才,王若雨,蒋晓煜,等.基于TCGA数据库分析SERPINH1基因在肺腺癌中的表达及意义[J].医学信息,2025,38(01):10.[doi:10.3969/j.issn.1006-1959.2025.01.002]
　ZHANG Dengcai,WANG Ruoyu,JIANG Xiaoyu,et al.Expression and Significance of SERPINH1 Gene in Lung AdenocarcinomaBased on TCGA Database[J].Medical Information,2025,38(07):10.[doi:10.3969/j.issn.1006-1959.2025.01.002]

更新日期/Last Update: 2020-04-01