Construction and analysis of an aberrant lncRNA-miRNA-mRNA network associated with papillary thyroid cancer

被引:15
|
作者
Jiang, Yanxia [1 ]
Wang, Jiao [1 ]
Chen, Jian [2 ]
Wang, Jiancheng [1 ]
Xu, Jixiong [1 ]
机构
[1] Nanchang Univ, Affiliated Hosp 1, Dept Endocrinol & Metab, 17 Yongwaizheng St, Nanchang 330006, Jiangxi, Peoples R China
[2] Nanchang Univ, Affiliated Hosp 1, Dept Hematol, Nanchang, Jiangxi, Peoples R China
关键词
competitive endogenous RNA; long noncoding RNAs; papillary thyroid cancer; LONG NONCODING RNA; COMPETING ENDOGENOUS RNA; COMPREHENSIVE ANALYSIS; CERNA NETWORK; TASK-FORCE; PREDICTION; GUIDELINES; MANAGEMENT; PROGNOSIS; SIGNATURE;
D O I
10.1097/MD.0000000000022705
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Accumulating evidence has indicated that long noncoding RNAs (lncRNAs) are the main constituents of competing endogenous RNA (ceRNA) networks. Nonetheless, in the lncRNA-related ceRNA network of papillary thyroid cancer (PTC), the function of cancer-specific lncRNAs, as well as their use for the potential prediction of PTC prognosis, remains unclear. In this study, 384 RNA sequencing (RNA-seq) profiles of PTC patients were attained from The Cancer Genome Atlas (TCGA), an open-source database that offers vast amounts of RNA-seq data, and 75 miRNAs, 495 lncRNAs, and 1099 mRNAs (P < .05 and |logFC| >2) were detected when compared with normal tissues. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed using the Cytoscape plug-in BinGo. An aberrant lncRNA-mRNA-miRNA ceRNA network consisting of 31 differentially expressed (DE)-lncRNAs, 13 DE-miRNAs, and 134 DE-mRNAs was built in TCGA. On the basis of overall survival (OS) analysis, 6 lncRNAs (CCAT1, SYNPR, SFTA1P, HOTAIR, HCG22, and CLDN10) were identified as prognostic biomarkers for patients in TCGA (P < .05). Through qRT-PCR, we designated 6 cancer-specific lncRNAs as having great significance for survival by verifying their expression in the 60 PTC patients who were diagnosed. The qRT-PCR and TCGA results were completely consistent. Our research provides data for further understanding the lncRNA-miRNA-mRNA ceRNA network and elucidating the molecular mechanisms of PTC.
引用
收藏
页数:13
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