Wenhui Chen1,2,3†
Qingling Yang1,2,3*†
Linli Hu1,2,3
Mengchen Wang1,2,3
Ziyao Yang1,2,3
Xinxin Zeng1,2,3
Yingpu Sun1,2,3*- 1Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- 2Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- 3Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
By Chen W, Yang Q, Hu L, Wang M, Yang Z, Zeng X and Sun Y (2023). Front. Immunol. 14:1175384. doi: 10.3389/fimmu.2023.1175384
There was an error in Table 1 as published. The GSE103465 dataset includes a total of 6 samples, consisting of 3 controls and 3 patients. We inadvertently wrote “6 patients,” which was a typographical error. We sincerely apologize for this oversight. Our subsequent analyses were performed using the correct data from GSE103465 (3controls and 3 patients). This correction does not affect any part of the analysis or the conclusions drawn from the data. The corrected Table 1 appears below.
Table 1. Details of GEO datasets used in the study.
Also, there was an error in Figure 4C as published. We apologize for the typographical error in Figure 4C — the gene symbol was mistakenly written as “LCXD3” instead of the correct “PLCXD3”. The corrected Figure 4C appear below.
Figure 4. Shared gene signatures and functional enrichment between PCOS and RIF. (A) The shared DEGs between PCOS and RIF by overlapping the DEGs of them. (B) The shared genes between the WGCNA modules of PCOS and RIF by overlapping them. (C) Table showed details of the shared genes. (D, E) Shared genes were represented by bar plots displaying GO and KEGG enrichment. CTRL, Control; RIF, Recurrent Implantation Failure; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes.
Lastly, there was an error in the legend for Table 1 as published. The corrected legend appears below.
“TABLE 1 Details of GEO datasets used in the study. PCOS: Polycystic Ovarian Syndrome, RIF: Recurrent Implantation Failure, GEO: Gene Expression Omnibus. Regarding GSE10946, we used both lean and obese non-PCOS samples as controls to avoid bias and reflect real-world metabolic diversity.”
The original version of this article has been updated.
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Keywords: PCOS (polycystic ovarian syndrome), RIF (Recurrent Implantation Failure), integrated transcriptome analysis, machine learning, TCA cycle
Citation: Chen W, Yang Q, Hu L, Wang M, Yang Z, Zeng X and Sun Y (2025) Correction: Shared diagnostic genes and potential mechanism between PCOS and recurrent implantation failure revealed by integrated transcriptomic analysis and machine learning. Front. Immunol. 16:1682282. doi: 10.3389/fimmu.2025.1682282
Received: 08 August 2025; Accepted: 12 August 2025;
Published: 25 August 2025.
Edited and reviewed by:
Luz Pamela Blanco, National Institutes of Health (NIH), United StatesCopyright © 2025 Chen, Yang, Hu, Wang, Yang, Zeng and Sun. 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: Qingling Yang, cWluZ2xpbmc1MzFAMTYzLmNvbQ==; Yingpu Sun, c3lwMjAwOEB2aXAuc2luYS5jb20=
†These authors have contributed equally to this work