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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Clin Oncol. Sep 24, 2026; 17(9): 124428
Published online Sep 24, 2026. doi: 10.5306/wjco.124428
Retraction note: Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response
Zhi-Jian Tang, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing 100044, China
ORCID number: Zhi-Jian Tang (0009-0008-4572-4586).
Author contributions: Tang Z wrote this retraction note.
AI contribution statement: Portions of this manuscript were edited using AI tools solely for language refinement.
Conflict-of-interest statement: The author reports no relevant conflicts of interest for this article.
Corresponding author: Zhi-Jian Tang, Department of Obstetrics and Gynecology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Beijing 100044, China. tangzhijian@pkuph.edu.cn
Received: June 15, 2026
Revised: July 18, 2026
Accepted: September 17, 2026
Published online: September 24, 2026
Processing time: 100 Days and 19.2 Hours

Abstract

Retraction note: Tang ZJ, Pan YM, Li W, Ma RQ, Wang JL. Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World J Clin Oncol 2025; 16(1): 94813 PMID: 39867736 DOI: 10.5306/wjco.v16.i1.94813.

Key Words: Retraction note; Mitochondrial genes; Neural network; Ovarian cancer; Prognosis

Core Tip: This retraction note targets the ovarian cancer predictive study using mitochondrial genes and neural networks. Uncorrected data/statement errors, insufficient formal manuscript validation, and duplicate publication due to submission misoperation lead to full retraction; all authors consent and apologize for related adverse impacts.



TO THE EDITOR

Retraction note: Tang ZJ, Pan YM, Li W, Ma RQ, Wang JL. Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World J Clin Oncol 2025; 16(1): 94813 PMID: 39867736 DOI: 10.5306/wjco.v16.i1.94813[1]. The online version of the original article can be found at https://www.wjgnet.com/2218-4333/full/v16/i1/94813.htm.

This manuscript did not undergo author proofreading prior to publication, and the author team has not completed the final review and confirmation of the published version. As some statements have not been verified by the authors, we cannot assume full responsibility for the content of the currently published version. To prevent potential misinterpretation to readers and preserve the rigor of academic records, we request the retraction of this paper.

This retraction is caused by procedural issues within the publication workflow and does not involve concerns regarding data authenticity or experimental methodologies. Following extensive and careful deliberation among all authors, we have reached unanimous consensus that retraction represents the only appropriate and ethically responsible course of action to preserve the reliability of the scientific literature. All authors of the original article have unanimously agreed to this retraction. We extend our most sincere apologies to the journal, the anonymous reviewers who dedicated their time to evaluating our work, and the broader readership for any inconvenience, confusion, and adverse scientific impacts resulting from this publication. We take full and collective responsibility for these oversights in the publication process. All authors have reviewed and formally approved this retraction statement.

References
1.  Tang ZJ, Pan YM, Li W, Ma RQ, Wang JL. Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World J Clin Oncol. 2025;16:94813.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 2]  [Cited by in RCA: 2]  [Article Influence: 2.0]  [Reference Citation Analysis (4)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Oncology

Country of origin: China

P-Reviewer: N/A S-Editor: Wang JJ L-Editor: A P-Editor: Lei YY

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