Background: Esophageal cancer (EC) is one of the most common gastrointestinal cancers and the incidence is on the increase in recent years. The aim of the present study was to assess novel long non-coding RNA (lncRNA) biomarkers for the prognosis of EC through the analysis of gene expression microarrays. Methods: Three datasets (GSE53622, GSE53624, and GSE53625) were downloaded from the Gene Expression Omnibus (GEO) database and EC patients' clinical information were from The Cancer Genome Atlas (TCGA) databases. Differentially expressed genes (DEGs) were screened by comparing tumor tissues with normal tissues using limma R package. The Gene Expression Profiling Interactive Analysis 2 (GEPIA2) database was used to obtain the novel lncRNAs and their co-expression genes in EC and these were visualized with the Cytoscape software. The Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology Based Annotation System (KOBAS) database was used to analyze the functions enrichment of selected DEGs. Cell Counting Kit-8 (CCK8) and Transwell assays were used to further confirm the function of target lncRNAs. Results: We identified 24 differentially expressed (DE) lncRNAs and 659 DE mRNAs from the intersection of GEO and TCGA databases. And we found that only LINC01614 was concerned with a candidate prognostic signature in EC. "Extracellular matrix (ECM)-receptor interaction" and "PI3K-Akt signaling pathway" were observed, and we constructed a lncRNA-mRNA co-expression network for EC that includes LINC01614 and 64 mRNAs. The results of CCK8 and Transwell assays showed that suppression of LINC01614 inhibited EC cell proliferation and migration. Conclusions: Our study might provide LINC01614 as a novel lncRNA biomarker for diagnosis and prognosis in EC.
基金：
National Natural Science Foundation of China (81702872 to SY and 81702942 to BYL). Three-year plan program by Shanghai Shen Kang Hospital Development Center (Grant No. 16CR3043A), Training Program of Shanghai Tongji Hospital [Grant No. GJPY1812 and ITJ (ZD) 1907.
第一作者机构：[1]Tongji Univ, Tongji Hosp, Dept Intervent Radiol, Sch Med, 389 Xincun Rd, Shanghai 200065, Peoples R China
通讯作者：
通讯机构：[1]Tongji Univ, Tongji Hosp, Dept Intervent Radiol, Sch Med, 389 Xincun Rd, Shanghai 200065, Peoples R China[*1]Department of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, 389, Xincun Road, Shanghai 200065, China
推荐引用方式(GB/T 7714)：
Yan Shuo,Xu Jichong,Liu Bingyan,et al.Integrative bioinformatics analysis identifies LINC01614 as a potential prognostic signature in esophageal cancer[J].TRANSLATIONAL CANCER RESEARCH.2021,10(4):1804-+.doi:10.21037/tcr-20-2529.
APA：
Yan, Shuo,Xu, Jichong,Liu, Bingyan,Ma, Lin,Tan, Huaqiao&Fang, Chun.(2021).Integrative bioinformatics analysis identifies LINC01614 as a potential prognostic signature in esophageal cancer.TRANSLATIONAL CANCER RESEARCH,10,(4)
MLA：
Yan, Shuo,et al."Integrative bioinformatics analysis identifies LINC01614 as a potential prognostic signature in esophageal cancer".TRANSLATIONAL CANCER RESEARCH 10..4(2021):1804-+
