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Identifying potential metastasis‐related long non‐coding RNAs, microRNAs, and message RNAs in the esophageal squamous cell carcinoma
Author(s) -
Yang Fei,
Wen Shiwang,
Zhang Yuefeng,
Xu Yanzhao,
Lv Huilai,
Zhu Yonggang,
Wang Mingbo,
Su Peng,
Huang Chao,
Tian Ziqiang
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.28594
Subject(s) - xist , biology , microrna , long non coding rna , competing endogenous rna , messenger rna , metastasis , rna , cancer research , antisense rna , genetics , gene , cancer , x inactivation , x chromosome
Esophageal squamous cell carcinoma (ESCC) is the predominant form with the highest incidence. We aimed to find metastasis‐related differentially expressed long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNA (mRNAs) in ESCC. We first obtained the lncRNAs, miRNAs, and mRNAs profiles. The differentially expressed lncRNAs, miRNAs, and mRNAs were obtained, followed by the functional annotation. Then the interaction networks of miRNA‐mRNA, lncRNA‐mRNA coexpression, lncRNA‐miRNA, and lncRNA‐miRNA‐mRNA were constructed. In addition, systematic expression pattern analysis of differentially expressed lncRNAs, miRNA, and mRNA in the normal, metastasis, and nonmetastasis was performed. Survivability of differentially expressed lncRNAs, miRNAs, and mRNA was analyzed. A total of 613 differentially expressed lncRNAs, 35 differentially expressed miRNAs, and 1586 differentially expressed mRNAs were obtained. Several interactions of H19‐hsa‐mir‐222‐chromobox 2 ( CBX2 ), H19‐hsa‐mir‐330‐phosphoinositide‐3‐kinase regulatory subunit 4 ( PIK3R4 ), KCNQ1 opposite strand/antisense transcript 1 (KCNQ1OT1)/CTB‐89H12.4‐hsa‐mir‐374a‐vascular endothelial growth factor A ( VEGFA ), MALAT1/X inactive specific transcript (XIST)/XIST antisense RNA (TSIX)‐hsa‐mir‐340‐tumor necrosis factor receptor superfamily member 10A ( NFRSF10A ) were identified to play key roles in the metastasis of ESCC. In addition, KCNQ1OT1, TSIX, and XIST were significantly associated with the survival time of patients. In conclusion, our study may be helpful in understanding the pathological mechanism and providing new diagnostic and therapeutic biomarkers for ESCC.