Integrative analysis of genetic variability and functional traits in lung adenocarcinoma epithelial cells via single-cell RNA sequencing, GWAS, bayesian deconvolution, and machine learning
This comprehensive approach provides novel insights into lung adenocarcinoma biology, emphasizing the role of genetic and immune factors in tumor progression. The findings support the development of personalized therapeutic strategies targeting both tumor cells and the immune microenvironment.
Authors
- Jintao Wu (ORCID: https://orcid.org/0000-0003-0224-6920)
- Jing Cai (ORCID: https://orcid.org/0000-0002-6792-4959)
- Huijuan Xu (ORCID: https://orcid.org/0000-0002-1858-1822)
- Fangyan Zhong (ORCID: https://orcid.org/0000-0002-0766-5721)
- Junming Lai (ORCID: https://orcid.org/0000-0002-4774-0909)
- Hanwen Liu (ORCID: https://orcid.org/0000-0002-0874-3752)
- Xianxin Yang
- Weimin Mao
- Chuyue Gao
Institutions
- Zhejiang Chinese Medical University (CN)
- Nanchang University (CN)
- Jiangxi Provincial Cancer Hospital (CN)
- Second Affiliated Hospital of Nanchang University (CN)
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
- First Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Genes & Genomics
- Published
- 2025-02-24
- DOI
- https://doi.org/10.1007/s13258-025-01621-2
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.81