Comprehensive Analysis of N6-Methylandenosine-Related Long Non-Coding RNAs Signature in Prognosis and Tumor Microenvironment of Bladder Cancer
- 1Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
- 2Department of Urology, Suizhou Hospital, Hubei University of Medicine, Suizhou, China
A Corrigendum on:
Comprehensive Analysis of N6-Methylandenosine-Related Long Non-Coding RNAs Signature in Prognosis and Tumor Microenvironment of Bladder Cancer.
By Chen K, Zhu S, Yu W, Xia Y, Xing J, Geng J and Cheng F (2022) Front. Oncol. 12:774307. doi: 10.3389/fonc.2022.774307
In the original article, there was a mistake in the legend for Figure 7F as published. When we changed the size of the pictures according to the requirements of the reviewers, due to our negligence, we repeated the Figure 7G layer in the PS software, so that the original Figure 7F is overwritten by repeated Figure 7G, resulting in the Figure 7F not appearing correctly. The corrected Figure 7 legend appears below
Figure 7 The prognostic risk score was correlated with clinicopathological features and immune score in the TCGA datasets. (A) Heatmap and clinicopathologic features for the high- and low-risk groups. (B–F) Distribution of risk scores stratified by T stage (B), stage (C), cluster (D), grade (E) and, immune score (F). (G) PD-L1 expression by risk score group in the TCGA datasets. **P < 0.01; ***P < 0.001.
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.
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Keywords: bladder cancer, N6-methyladenosine, prognostic signature, immune infiltration, long non-coding RNA
Citation: Chen K, Zhu S, Yu W, Xia Y, Xing J, Geng J and Cheng F (2022) Corrigendum: Comprehensive Analysis of N6-Methylandenosine-Related Long Non-Coding RNAs Signature in Prognosis and Tumor Microenvironment of Bladder Cancer. Front. Oncol. 12:908832. doi: 10.3389/fonc.2022.908832
Received: 31 March 2022; Accepted: 25 April 2022;
Published: 06 May 2022.
Edited and reviewed by:
Chengfei Liu, University of California, Davis, United StatesCopyright © 2022 Chen, Zhu, Yu, Xia, Xing, Geng and Cheng. 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: Jie Geng, bWl3YWk2NjhAMTYzLmNvbQ==; Fan Cheng, dXJvbG9neTE5NjlAYWxpeXVuLmNvbQ==
†These authors have contributed equally to this work