Retraction note: Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

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.

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.