Development of Diagnostic and Predictive Models for COPD Based on Anoikis Resistance
ME1, SLC2A1, and BMP4 are pivotal anoikis resistance-related biomarkers in COPD, driving immune dysregulation and structural remodeling. The developed models enable precise phenotyping, severity stratification, and personalized prognosis prediction, advancing precision medicine strategies for COPD management.
Authors
- Wenmin Hu
- Xinjuan Yu (ORCID: https://orcid.org/0000-0003-1340-092X)
- Yuan Peng (ORCID: https://orcid.org/0000-0001-8414-6055)
- Yaoyao Wang (ORCID: https://orcid.org/0000-0003-0437-9364)
- Jingjing Sun (ORCID: https://orcid.org/0009-0009-2397-4469)
- Mei Wang (ORCID: https://orcid.org/0000-0002-8136-7562)
- Wei Han (ORCID: https://orcid.org/0000-0002-4830-3487)
- Qinghai Li
- Chaohui Mu
- Yongchun Li (ORCID: https://orcid.org/0000-0003-1938-377X)
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Qingdao Municipal Hospital (CN)
- Ocean University of China (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/jir.s534626
- Citations
- 1
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Natural Science Foundation of Shandong Province