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Volume 18
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Correction to Cancers 2022, 14(20), 5153.
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Correction

Correction: Zhang et al. Construction of a Prognostic and Early Diagnosis Model for LUAD Based on Necroptosis Gene Signature and Exploration of Immunotherapy Potential. Cancers 2022, 14, 5153

by
Baizhuo Zhang
1,†,
Yudong Wang
2,†,
Xiaozhu Zhou
1,
Zhen Zhang
1,
Haoyu Ju
1,
Xiaoqi Diao
1,
Jiaoqi Wu
1 and
Jing Zhang
1,*
1
Department of Pharmacology, College of Pharmacy, China Medical University, Shenyang 110122, China
2
Thoracic Surgery Department, Shengjing Hospital of China Medical University, Shenyang 110004, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Cancers 2026, 18(11), 1696; https://doi.org/10.3390/cancers18111696
Submission received: 9 December 2025 / Accepted: 20 May 2026 / Published: 22 May 2026
Browse Figures
Versions Notes
Error in Figures
In the original publication [1], there was a mistake in Figure 8D and the fifth panel of Figure 12C as published. Figure 8D was duplicated with Figure 8A, and the fifth panel of Figure 12C was duplicated with the first panel. The corrected Figure 8 and Figure 12 appear below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zhang, B.; Wang, Y.; Zhou, X.; Zhang, Z.; Ju, H.; Diao, X.; Wu, J.; Zhang, J. Construction of a prognostic and early diagnosis model for LUAD based on necroptosis gene signature and exploration of immunotherapy potential. Cancers 2022, 14, 5153. [Google Scholar] [CrossRef] [PubMed]
Cancers 18 01696 g008
Figure 8. (A) Relationship between risk score and tumor microenvironment. (B–D) Correlation of StromalScore, ImmuneScore, and ESTIMATEScore with risk score. (E) Analysis of risk score correlation with immune cell infiltration based on 7 algorithms. *** p < 0.001.
Figure 8. (A) Relationship between risk score and tumor microenvironment. (B–D) Correlation of StromalScore, ImmuneScore, and ESTIMATEScore with risk score. (E) Analysis of risk score correlation with immune cell infiltration based on 7 algorithms. *** p < 0.001.
Cancers 18 01696 g008
Cancers 18 01696 g012
Figure 12. (A) Correlation of DENRGs with immune cells in the prognostic model. (B) DENRGs associated with TMB in the prognostic model. (C) DENRGs associated with MSI in the prognostic model. * p < 0.05 and ** p < 0.01.
Figure 12. (A) Correlation of DENRGs with immune cells in the prognostic model. (B) DENRGs associated with TMB in the prognostic model. (C) DENRGs associated with MSI in the prognostic model. * p < 0.05 and ** p < 0.01.
Cancers 18 01696 g012
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MDPI and ACS Style

Zhang, B.; Wang, Y.; Zhou, X.; Zhang, Z.; Ju, H.; Diao, X.; Wu, J.; Zhang, J. Correction: Zhang et al. Construction of a Prognostic and Early Diagnosis Model for LUAD Based on Necroptosis Gene Signature and Exploration of Immunotherapy Potential. Cancers 2022, 14, 5153. Cancers 2026, 18, 1696. https://doi.org/10.3390/cancers18111696

AMA Style

Zhang B, Wang Y, Zhou X, Zhang Z, Ju H, Diao X, Wu J, Zhang J. Correction: Zhang et al. Construction of a Prognostic and Early Diagnosis Model for LUAD Based on Necroptosis Gene Signature and Exploration of Immunotherapy Potential. Cancers 2022, 14, 5153. Cancers. 2026; 18(11):1696. https://doi.org/10.3390/cancers18111696

Chicago/Turabian Style

Zhang, Baizhuo, Yudong Wang, Xiaozhu Zhou, Zhen Zhang, Haoyu Ju, Xiaoqi Diao, Jiaoqi Wu, and Jing Zhang. 2026. "Correction: Zhang et al. Construction of a Prognostic and Early Diagnosis Model for LUAD Based on Necroptosis Gene Signature and Exploration of Immunotherapy Potential. Cancers 2022, 14, 5153" Cancers 18, no. 11: 1696. https://doi.org/10.3390/cancers18111696

APA Style

Zhang, B., Wang, Y., Zhou, X., Zhang, Z., Ju, H., Diao, X., Wu, J., & Zhang, J. (2026). Correction: Zhang et al. Construction of a Prognostic and Early Diagnosis Model for LUAD Based on Necroptosis Gene Signature and Exploration of Immunotherapy Potential. Cancers 2022, 14, 5153. Cancers, 18(11), 1696. https://doi.org/10.3390/cancers18111696

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