Integration of the bulk transcriptome and single-cell transcriptome reveals efferocytosis features in lung adenocarcinoma prognosis and immunotherapy by combining deep learning
Our study developed a novel prognostic signature of efferocytosis-related genes. This prognostic signature accurately predicted survival prognosis as well as treatment outcome in LUAD patients and explored the role of HAVCR1 in lung adenocarcinoma progression.
Authors
- Chaoqun Lian (ORCID: https://orcid.org/0000-0003-4914-020X)
- Shengping Min
- Kai Zhang (ORCID: https://orcid.org/0000-0002-5783-946X)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-2488-5021)
- Xinyu Wang (ORCID: https://orcid.org/0000-0002-3173-6390)
- Xiaojing Wang (ORCID: https://orcid.org/0000-0001-6285-9193)
- Xueying Zhang (ORCID: https://orcid.org/0000-0003-1827-4336)
- Huili Chen
- Yiluo Xie
Institutions
- Bengbu Medical College (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1186/s12935-024-03571-3
- Citations
- 10
- Primary Topic
- Phagocytosis and Immune Regulation
- Type
- article
- Field-Weighted Citation Impact
- 2.40