Cargando…
Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma
BACKGROUND: Innate immune effectors, dendritic cells (DCs), influence cancer prognosis and immunotherapy significantly. As such, dendritic cells are important in killing tumors and influencing tumor microenvironment, whereas their roles in lung adenocarcinoma (LUAD) are largely unknown. METHODS: In...
Autores principales: | Zhang, Liangyu, Guan, Maohao, Zhang, Xun, Yu, Fengqiang, Lai, Fancai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590321/ https://www.ncbi.nlm.nih.gov/pubmed/37507593 http://dx.doi.org/10.1007/s00432-023-05151-w |
Ejemplares similares
-
In-depth single-cell and bulk-RNA sequencing developed a NETosis-related gene signature affects non-small-cell lung cancer prognosis and tumor microenvironment: results from over 3,000 patients
por: Zhang, Liangyu, et al.
Publicado: (2023) -
Protein Tyrosine Phosphatase Receptor Type R (PTPRR) Reduces AChR Clustering by Dephosphorylating MuSK
por: Chen, Yanxun, et al.
Publicado: (2022) -
The Comprehensive Analysis Identified an Autophagy Signature for the Prognosis and the Immunotherapy Efficiency Prediction in Lung Adenocarcinoma
por: Li, Xizhe, et al.
Publicado: (2022) -
Immune-Related Molecular Profiling of Thymoma With Myasthenia Gravis
por: Zhuang, Jinman, et al.
Publicado: (2021) -
Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis
por: Shu, Jianfeng, et al.
Publicado: (2023)