Label-free LC-MS/MS proteomics analyses reveal CLIC1 as a predictive biomarker for bladder cancer staging and prognosis
- 1Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- 2Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
A Corrigendum on
Label-free LC-MS/MS proteomics analyses reveal CLIC1 as a predictive biomarker for bladder cancer staging and prognosis
By Wang W, Huang G, Lin H, Ren L, Fu L and Mao X (2023) Front. Oncol. 12:1102392. doi: 10.3389/fonc.2022.1102392
Incorrect Ethics No
In the published article, there was an error in Ethics No. Instead of “[2022]385”, it should be “[2022]574”.
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: proteomics, biology-informed analysis, CLIC1, prognosis, bladder cancer
Citation: Wang W, Huang G, Lin H, Ren L, Fu L and Mao X (2024) Corrigendum: Label-free LC-MS/MS proteomics analyses reveal CLIC1 as a predictive biomarker for bladder cancer staging and prognosis. Front. Oncol. 13:1216134. doi: 10.3389/fonc.2023.1216134
Received: 19 June 2023; Accepted: 07 August 2023;
Published: 09 January 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Wang, Huang, Lin, Ren, Fu and Mao. 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: Xiaopeng Mao, bWFveHAzQG1haWwuc3lzdS5lZHUuY24=; Liangmin Fu, ZnVsbTNAbWFpbDIuc3lzdS5lZHUuY24=
†These authors have contributed equally to this work