Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma
We established a novel DCRS with robust prognostic and predictive value in LUAD. This work highlights the pivotal role of dendritic cell programs in shaping the tumor microenvironment and provides potential targets for improving precision immunotherapy.
Authors
- Zheng Wang (ORCID: https://orcid.org/0009-0005-9262-5706)
- Zhou Fang (ORCID: https://orcid.org/0000-0001-7692-5040)
- Wei Li (ORCID: https://orcid.org/0000-0002-6557-3948)
- Xike Lu (ORCID: https://orcid.org/0009-0005-6750-0768)
- Meng Wang (ORCID: https://orcid.org/0000-0002-7417-9192)
Institutions
- Tianjin University (CN)
- Tianjin Chest Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-06-09
- DOI
- https://doi.org/10.3389/fimmu.2025.1621370
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52