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. 2023 Jan 17;14:1079795. doi: 10.3389/fgene.2023.1079795

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Copyright © 2023 Shang, Kong, Huang, Xiao, Hu, Yang, Zhang, Yang, Yuan and Chen.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Clinical significance of risk grouping in TCGA-ESCA database (A) The heatmap shows the clinicopathological features were compared between the high- and low-risk groups. (B) Univariate Cox analysis of the risk score and clinicopathological features. (C) Multivariate Cox analysis of the risk score and clinicopathological features to identify the independent prognostic predictors in TCGA-ESCA database. (D) Kaplan-Meier analysis for patients of TCGA-ESCA database in high- and low-risk group. Data are shown as the means ± SD. *p < 0.05. ESCA, esophageal squamous cell carcinoma; TCGA, The Cancer Genome Atlas; HNRNPC, RNA-binding protein, is a member of the heterogeneous ribonucleoproteins C; YTHDF1, YTH N6-methyladenosine RNA-binding protein 1.