This article is a correction to:
A Weighted Gene Co-Expression Network Analysis–Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer
Qingchuan Chen
Chao Zhang
Zhe Zhang
Siwei Pan
Huimian Xu- Department of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China
A Corrigendum on
A Weighted Gene Co-Expression Network Analysis–Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer
By Chen Q, Tan Y, Zhang C, Zhang Z, Pan S, An W and Xu H (2021). Front. Oncol. 11:554779. doi: 10.3389/fonc.2021.554779
In the original article, there was a mistake in Figure 9 as published. We made a mistake in the bottom picture of Figure 9B due to the disorder in organizing the pictures. The corrected Figure 9 appears below.
FIGURE 9
Figure 9 Expression of NES and KLF5 in gastric cancer (GC) tissue and Kaplan-Meier analysis. (A) Low and high expression of NES and KLF5 in GC specimens; (B) Kaplan-Meier survival curves based on NES and KLF5.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: gastric cancer, weighted gene co-expression network analysis, Cox proportional hazards regression model, prognostic model, immune infiltration
Citation: Chen Q, Tan Y, Zhang C, Zhang Z, Pan S, An W and Xu H (2021) Corrigendum: A Weighted Gene Co-Expression Network Analysis–Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer. Front. Oncol. 11:683333. doi: 10.3389/fonc.2021.683333
Received: 20 March 2021; Accepted: 24 March 2021;
Published: 14 April 2021.
Edited and reviewed by: Longxiang Xie, Henan University, China
Copyright © 2021 Chen, Tan, Zhang, Zhang, Pan, An and Xu. 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.
*Correspondence: Huimian Xu, eHVodWltaWFuQDEyNi5jb20=