CORRECTION article
Front. Endocrinol.
Sec. Cancer Endocrinology
This article is part of the Research TopicNew potential biomarkers and cellular strategies for the study of prostate cancer and testicular cancer cellsView all 11 articles
Correction: TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models
Provisionally accepted- 1The Second Hospital of Dalian Medical University, Dalian, China
- 2The First Affiliated Hospital of Dalian Medical University, Dalian, China
- 3Dalian Medical University, Dalian, China
- 4Dalian Municipal Friendship Hospital, Dalian, China
- 5Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
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Correction on: Wang Y, Yu A, Gao Z, Yuan X, Du X, Shi P, Guan H, Wen S, Wang H, Wang L, Fan B and Liu Z (2025) TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models. Front. Endocrinol. 16:1568665. doi: 10.3389/fendo.2025.1568665 Wrong content There was a mistake in figure 4A
Keywords: transition zone, prostate cancer, Whole-exome sequencing, Driver genes, Medication prediction, TET2mutation, machine learning models
Received: 03 Nov 2025; Accepted: 28 Nov 2025.
Copyright: © 2025 Wang, Yu, Gao, Yuan, Du, Shi, Guan, Wen, Wang, Wang, Fan and Liu. 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) or licensor 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:
Liang Wang
Bo Fan
Zhiyu Liu
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