This article is a correction to:
Identification of Signature Genes Associated With Invasiveness and the Construction of a Prognostic Model That Predicts the Overall Survival of Bladder Cancer
Yang He
Yongxin Wu1
Abai Xu- 1Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- 2Department of Urology, The First People’s Hospital of Kashgar Prefecture, Kashgar, China
by He Y, Wu Y, Liu Z, Li B, Jiang N, Xu P and Xu A (2021). Front. Genet. 12:694777. doi: 10.3389/fgene.2021.694777
In the original article, there were several errors. The sentence “the risk score had the greatest weighing in this calculation” was repeated two times. In the Discussion section, the word “Higher” was incorrectly written as “Lower”. The number “4" was incorrectly superscript applied in the sentence “T cells and memory CD4+ T cells might result in a better prognosis.”
A correction has been made to Results, “Construction and Validation of a Nomogram for Predicting Prognosis of Patients With Bladder Cancer,” Paragraph 1:
“Consequently, 1- and 5-year OS can be estimated according to the total number of points; the risk score had the greatest weighing in this calculation.”
A correction has been made to Discussion, Paragraph 4:
“Higher expression levels of PPFIBP2 and DENND2D are known to be associated with lower levels of tumor invasiveness and a better prognosis; our present findings were consistent with these earlier observations.”
A correction has been made to Discussion, Paragraph 5:
“In triple-negative breast cancer, tumors with high levels of infiltrating CD8+ T cells and memory CD4+ T cells might result in a better prognosis;”
The authors apologize for these errors and state that these do not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: bladder cancer (blca), invasiveness, weighted gene co-expression network analysis (WGCNA), nomogram, tumor immune microenvironment
Citation: He Y, Wu Y, Liu Z, Li B, Jiang N, Xu P and Xu A (2022) Corrigendum: Identification of Signature Genes Associated With Invasiveness and the Construction of a Prognostic Model That Predicts the Overall Survival of Bladder Cancer. Front. Genet. 13:880633. doi: 10.3389/fgene.2022.880633
Received: 21 February 2022; Accepted: 22 February 2022;
Published: 17 May 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 He, Wu, Liu, Li, Jiang, Xu 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: Abai Xu, lc96xab@163.com