Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning
This study delineates two anoikis-related molecular subtypes of CRSwNP and identifies AR and PTHLH as cluster-specific biomarkers. These findings provide novel insights for personalized therapy, drug screening, and immunomodulatory strategies in CRSwNP.
Authors
- Lingmei Qu (ORCID: https://orcid.org/0000-0002-7602-301X)
- Xueyi Shen (ORCID: https://orcid.org/0000-0002-0538-4774)
- L. Li (ORCID: https://orcid.org/0000-0001-6411-6107)
- Yanan Sun (ORCID: https://orcid.org/0000-0002-2405-6805)
- Ziqi Chen (ORCID: https://orcid.org/0000-0001-8699-3848)
- Qin Wu
- Shuo Liu (ORCID: https://orcid.org/0000-0003-2122-2473)
- Qing Hao (ORCID: https://orcid.org/0000-0003-4948-3229)
- Zhaonan Xu
- Shuang Teng (ORCID: https://orcid.org/0000-0001-6644-979X)
- Hongtian Yi
Institutions
- Harbin Medical University (CN)
- Daqing City People's Hospital (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3389/fmolb.2025.1624300
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.00