Single cell and machine learning identify type II pneumocyte-derived biomarkers HN1/OCIAD2/SFTA2 for non-small cell lung cancer prognosis and immune regulation
This study elucidates genes in NSCLC that are highly associated with both disease progression and type II pneumocyte features as potential biomarkers of NSCLC, and predicts their potential regulatory functions as well as their impact on the immune infiltration profile of NSCLC, providing guidance for the unraveling of the immune mechanisms of NSCLC.
Authors
- Kai Yang (ORCID: https://orcid.org/0000-0002-0443-4493)
- Lin Zeng (ORCID: https://orcid.org/0000-0002-9269-2707)
- Huijuan Xu (ORCID: https://orcid.org/0000-0001-6188-2148)
- Hanguang Yu (ORCID: https://orcid.org/0009-0002-7242-8543)
Institutions
- Shantou University (CN)
- Second Affiliated Hospital of Shantou University Medical College (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1186/s40001-025-03433-2
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52