食管鳞癌和腺癌转录组差异基因综合分析  被引量:4

Differentially expressed genes in esophageal squamous cell carcinoma and esophageal adenocarcinoma:A comprehensive analysis

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作  者:李雨濛[1] 马佳康 任凯凯 李南[1] 王健[1] 孙金旗[2] 张亚丽[3] 马军[3] LI Yu-meng;MA Jia-kang;REN Kai-kai;LI Nan;WANG Jian;SUN Jin-qi;ZHANG Ya-li;MA Jun(Department of Oncology,The Second Affiliated Hospital of Zhengzhou University,Zhengzhou 450014,Henan,China;Department of Clinical Laboratory,The Second Affiliated Hospital of Zhengzhou University,Zhengzhou 450014,Henan,China;Institute of Digestive Disease,The Second Affiliated Hospital of Zhengzhou University,Zhengzhou 450014,Henan,China)

机构地区:[1]郑州大学第二附属医院肿瘤科,郑州450014 [2]郑州大学第二附属医院检验科,郑州450014 [3]郑州大学第二附属医院消化疾病研究所,郑州450014

出  处:《医学研究生学报》2019年第7期715-719,共5页Journal of Medical Postgraduates

摘  要:目的食管鳞癌和腺癌在分组特征方面有多大的差异目前并不明确。文中旨在分析食管鳞癌、食管腺癌转录组分子特征的差异性。方法下载TCGA数据库中食管鳞癌和腺癌转录组数据,筛选癌及癌旁组织差异表达的RNA(mRNA、lncRNA、miRNA),构建食管鳞癌和腺癌相关的竞争性内源RNA(ceRNA)网络,对重要miRNA进行靶基因预测及GO、KEGG分析,利用生存分析显示食管鳞癌和腺癌共有差异基因。结果ceRNA网络显示:PVT1、LINC00524、miR-204、miR-383、HOXC8、NTRK2等在食管鳞癌和腺癌中均起重要调控作用。miR-204-5p经miRWalk共预测到13227个调控靶基因,在targetscan,miRDB数据库共筛选出232个靶基因。GO功能分析显示38个富集,主要参与细胞-基质粘附的调节、细胞膜投射形态发生、β-连环蛋白结合等过程。KEGG分析显示4个相关通路:Hedgehog信号通路、寿命调节通路、雌激素信号通路、松弛素信号通路。生存分析结果显示,食管鳞癌中与患者生存相关的差异lncRNA包括LINC00261、MLIP-IT1、LINC00504,差异miRNA包括hsa-mir-338,未发现与生存相关的mRNA。食管腺癌中与生存相关的差异lncRNA包括CYP1B1-AS1、HOTAIR,差异mRNA包括IL11、NTRK2、ANGPT2、PBK。食管鳞癌和腺癌共有的差异lncRNA上调占15.4%(150个),下调占26.8%(158个);miRNA上调占24.2%(22个),下调占27.6%(8个);mRNA上调占20.5%(234个),下调占23.7%(418个)。结论食管鳞癌和腺癌存在明显的分子差异,lncRNA、miRNA及mRNA有望为食管癌的治疗和预后预测提供新的靶点与分子标志物。Objective This study aimed to analyze the differences in the molecular characteristics of transcriptome between esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). Methods We obtained transcriptomic data on ESCC and EAC from the TCGA database, screened differentially expressed mRNAs, lncRNAs and miRNAs in cancer and the adjacent tissues, and constructed a network of ESCC- and EAC-related competitive endogenous RNA (ceRNA). We predicted the target genes and performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on important miRNAs, and compared the molecular features of the transcriptomes between ESCC and EAC. Results The ceRNA network analysis showed that PVT1, LINC00524, miR-204, miR-383, HOXC8 and NTRK2 played important regulatory roles in both ESCC and EAC. Totally, 13 227 regulatory target genes were predicted with miR-204-5p via miRWalk and 232 target genes screened from the miRDB database. GO analysis revealed 38 enrichments, mainly involved in the regulation of cell-matrix adhesion, morphogenesis of cell membrane projection, and β-catenin combination, KEGG analysis showed 4 relevant pathways: the hedgehog, life-regulating, estrogen and relaxin signaling pathways, and survival analysis manifested LINC00261, MLIP-IT1 and LINC00504 as survival-related differentially expressed lncRNAs, hsa-mir-338 as differentially expressed miRNA, but no mRNA in ESCC. Survival-related differentially expressed lncRNAs in EAC included CYP1B1-AS1 and HOTAIR, and differentially expressed mRNAs included IL11, NTRK2, ANGPT2 and PBK. Of the differentially expressed lncRNAs in both ESCC and EAC, 150 (15.4%) were up-regulated and 158 (26.8%) down-regulated;of the miRNAs, 22 (24.2%) up-regulated and 8 (27.6%) down-regulated;and of the mRNAs, 234 (20.5%) up-regulated and 418 (23.7%) down-regulated. Conclusion There are significant molecular differences between ESCC and EAC, and the differentially expressed lncRNA, miRNA and mRNA may provide some new targets and molecular mark

关 键 词:食管鳞癌 食管腺癌 转录组 分子特征 ceRNA网络 生存分析 

分 类 号:R735.1[医药卫生—肿瘤]

 

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