CORRECTION article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1671587
This article is part of the Research TopicInnovations in Cancer Imaging and Radiomics through Explainable Artificial IntelligenceView all 3 articles
Analysis of prognostic factors and nomogram construction for postoperative survival of triple-negative breast cancer
Provisionally accepted- 1Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, College of Life Science, Fujian Normal University, Fuzhou, China
- 2Fujian Medical University Union Hospital, Fuzhou, China
- 3Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, China
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Keywords: Triple-negative breast cancer, SEER database, Prognostic modelling, columnar plots, machine learning
Received: 23 Jul 2025; Accepted: 24 Jul 2025.
Copyright: © 2025 Wang, Zhao, Wang, Wu, Lin, Huang, Shen and Chen. 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) or licensor 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:
Weiwei Huang, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, China
Yangkun Shen, Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, College of Life Science, Fujian Normal University, Fuzhou, China
Qi Chen, Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, College of Life Science, Fujian Normal University, Fuzhou, China
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