Abstract
Background: Esophageal squamous cell carcinoma (ESCC) is correlated with worse clinical prognosis and lacks available targeted therapy, which requires identification of reliable biomarkers for the diagnosis and treatment of ESCC. Methods: Here, we downloaded the GSE53625 dataset as training dataset and the RNA sequencing data from TCGA database as validation dataset to screen differentially expressed long non-coding RNAs (DElncRNAs) and mRNAs (DEmRNAs) with the criterion of FDR 1. Results : Total 1136 DERs, including 689 downregulated mRNAs, 318 upregulated mRNAs, 74 downregulated lncRNAs and 55 upregulated lncRNAs were obtained in GES53625 dataset. Bioinformatics analysis showed that three clinical features, including age, pathologic stage and risk score (RS) model status and 8 independent prognostic genes, including ADAMTS9-AS1, DLX6-AS1, LINC00470, LINC00520, LINC01497, LINC01749, MAMDC2-AS1 and SSTR5-AS1 were significantly correlated with prognosis. In the constructed co-expression of lncRNA-mRNA networks, we identified 13 significantly correlated biological processes and 5 KEGG signal pathways. Functionally, we further demonstrated that knockdown of LINC00470 significantly suppressed cell proliferation, G1/S transition, migration and invasion using CCK-8 assay, flow cytometry and transwell migration assay in two ESCC cell lines (EC9706 and TE-9). Conclusion: In conclusions, our eight-lncRNA signature and nomogram can provide theoretical guidance for further research on the molecular mechanism of ESCC and the screening of molecular markers. Funding: None Declaration of Interest: The authors declare no competing interests. Ethical Approval: The study was approved by the Ethics Committee of the Harbin Medical University Cancer Hospital.
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