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CORRECTION article

Front. Immunol., 20 January 2026

Sec. Cancer Immunity and Immunotherapy

Volume 17 - 2026 | https://doi.org/10.3389/fimmu.2026.1780944

Correction: Based on disulfidptosis-related glycolytic genes to construct a signature for predicting prognosis and immune infiltration analysis of hepatocellular carcinoma

Zhijian WangZhijian Wang1Xuenuo ChenXuenuo Chen2Jia ZhangJia Zhang3Xuanxin ChenXuanxin Chen2Jiayi PengJiayi Peng3Wenxiang Huang*Wenxiang Huang3*
  • 1Department of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
  • 2Department of Infectious Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
  • 3Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

In the published article, there was an error in Figure 11 as published. The corrected Figure 11 and its caption “Correlation of SLCO1B1 expression with the level of infiltration of various immune cells in cancers”. appear below.

Figure 11
Heatmap showing correlation data between various cancer types and immune cell types across different methods. Rows represent cancer types such as ACC, BLCA, and BRCA, while columns represent immune cell types analyzed using multiple techniques. Color intensity reflects the correlation coefficient (rho), ranging from red (positive correlation) to blue (negative correlation). A p-value legend indicates significance, with symbols for p < 0.05 and p ≥ 0.05.

Figure 11. Correlation of SLCO1B1 expression with the level of infiltration of various immune cells in cancers.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original 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: hepatocellular carcinoma (HCC), disulfidptosis, glycolysis, subtype, prognostic signature, tumor microenvironment, SLCO1B1

Citation: Wang Z, Chen X, Zhang J, Chen X, Peng J and Huang W (2026) Correction: Based on disulfidptosis-related glycolytic genes to construct a signature for predicting prognosis and immune infiltration analysis of hepatocellular carcinoma. Front. Immunol. 17:1780944. doi: 10.3389/fimmu.2026.1780944

Received: 05 January 2026; Accepted: 13 January 2026; Revised: 05 January 2026;
Published: 20 January 2026.

Edited and reviewed by:

Chi Chun Wong, The Chinese University of Hong Kong, China

Copyright © 2026 Wang, Chen, Zhang, Chen, Peng and Huang. 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: Wenxiang Huang, d2VueGlhbmdodWFuZzIwMThAMTYzLmNvbQ==

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.