Figure 1.

Schematic diagram of the study. The transcriptome sequencing data and clinical information of patients with esophageal squamous cell carcinoma (ESCC) were downloaded from the Gene Expression Omnibus (GEO) database. Different datasets were assigned as training and validation cohorts for weighted coexpression network analysis (WGCNA) and univariate COX proportional hazards regression analysis. Then, the epithelial-mesenchymal transition- (EMT-) related lncRNA determined by multivariate COX regression analysis was used for risk stratification and constructing a nomogram model. Finally, the pathways of EMT-related lncRNA and the correlation between lncRNA and tumor microenvironment (TME) or immune checkpoints (ICs) were explored.