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CORRECTION article

Front. Immunol., 07 November 2025

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1718125

Correction: Unveiling the NEFH+ malignant cell subtype: insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions

This article is a correction to:

  1. Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions

    1. Read original article
Jie Wang,&#x;Jie Wang1,2†Fu Zhao&#x;Fu Zhao3†Qiang Zhang&#x;Qiang Zhang1†Zhou Sun&#x;Zhou Sun2†Zhikai XiahouZhikai Xiahou4Changzhong Wang*Changzhong Wang5*Yan Liu*Yan Liu6*Zongze Yu*Zongze Yu1*
  • 1Department of Urology, The Second People’s Hospital of Meishan City, Meishan, Sichuan, China
  • 2Department of Urology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
  • 3The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China
  • 4China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
  • 5Department of Urology, The First People’s Hospital of Jiangxia District, Wuhan, Hubei, China
  • 6Department of Urology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China

A Correction on
Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions

By Wang J, Zhao F, Zhang Q, Sun Z, Xiahou Z, Wang C, Liu Y and Yu Z (2024) Front. Immunol. 15:1517679. doi: 10.3389/fimmu.2024.1517679

There was a mistake in Figure 1 and Figure 7I as published. This error occurred because placeholder images were used during the typesetting process to maintain layout consistency. Due to an oversight, the first placeholder image in the upper left corner of Figure 7I was not replaced with the correct image in time. In addition, since the Figure 1 includes a schematic diagram of this figure, it also needs to be updated accordingly. The corrected Figure 1 and Figure 7 appears below.

Figure 1
Diagram illustrating a single cell transcriptome analysis workflow for prostatic cancer cells. From left to right: single cells are isolated from tissue for scRNA-seq, with steps depicted like data processing and trajectory analysis in a cell atlas. Middle section shows a UMAP plot and heatmap for function analysis. Right section details cell experiments and clinical relevance with images of cell cultures, histograms, and graphs representing experiments on gene expression and immune responses. Sections are labeled with arrows indicating the process flow.

Figure 1. Graphical abstract. The analysis workflow for this research. We performed single-cell sequencing analysis on the GSE181294 dataset and identified a distinct C3 NEFH+ malignant cells subtype. Through pseudotime analysis, enrichment analysis, cell communication, and transcription factor regulation analysis, we revealed the significance of this subtype and confirmed the important role of the key TF (IRX4) through in vitro experiments. Prognostic and immune analyses provided guidance for clinical intervention and treatment.

Figure 7
A multi-panel scientific figure depicting various experiments related to MDA PCa 2b and VCap cells. Panel A shows bar graphs of relative IRX mRNA and protein expression. Panel B includes line graphs of OD values over time. Panel C displays colony formation images. Panel D presents a bar graph of colony numbers. Panel E shows images of cell proliferation with DAPI and EDU staining. Panel F includes wound healing assays at 0 and 48 hours. Panel G contains bar graphs of cell proliferation and wound healing percentages. Panels H and I feature cell migration and invasion assays with corresponding bar graphs.

Figure 7. In vitro experiments confirmed the effects of IRX4 knockdown. (A) Decreased mRNA and protein expression levels after IRX4 knockdown. (B) CCK-8 assay showed a significant decrease in cell viability after IRX4 knockdown compared to the control group. (C, D) Colony formation assay demonstrated a significant decrease in colony numbers after IRX4 knockdown. (E) EDU staining experiment confirmed the inhibitory effect of IRX4 knockdown on cell proliferation. (F) Wound healing assay showed that IRX4 knockdown inhibited cell migration. (G) Bar graph displayed a significant decrease in cell proliferation and migration abilities after IRX4 knockdown. (H, I) Transwell assay showed that IRX4 knockdown suppressed the migration and invasion abilities of tumor cells in MDA PCA 2b and VCap cell lines. **P<0.01, ***P<0.001.

The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: multi-omics, single-cell RNA sequencing, prostate cancer, tumor heterogeneity, precision medicine, drug discovery

Citation: Wang J, Zhao F, Zhang Q, Sun Z, Xiahou Z, Wang C, Liu Y and Yu Z (2025) Correction: Unveiling the NEFH+ malignant cell subtype: insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions. Front. Immunol. 16:1718125. doi: 10.3389/fimmu.2025.1718125

Received: 03 October 2025; Accepted: 24 October 2025;
Published: 07 November 2025.

Edited and reviewed by:

Peter Brossart, University of Bonn, Germany

Copyright © 2025 Wang, Zhao, Zhang, Sun, Xiahou, Wang, Liu and Yu. 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: Zongze Yu, eXV6b25nemUyMDIzMDNAMTYzLmNvbQ==; Yan Liu, cmxpdXlhbkBmb3htYWlsLmNvbQ==; Changzhong Wang, d2FuZ2N6a3lAMTYzLmNvbQ==

†These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.