Machine learning developed an immune evasion signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) is one of the most common cancers worldwide and a major cause of cancer-related deaths. The advancement of immunotherapy has expanded the treatment options for LUAD. However, the clinical outcomes of LUAD patients have not been as anticipated, potentially due to...

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Bibliografische Detailangaben

Hauptverfasser:	Dongxiao Ding, Gang Huang, Liangbin Wang, Ke Shi, Junjie Ying, Wenjun Shang, Li Wang, Chong Zhang, Maofen Jiang, Yaxing Shen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-06-01
Schriftenreihe:	Frontiers in Cell and Developmental Biology
Schlagworte:	immune escape machine learning lung adenocarcinoma prognostic signature immunotherapy
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fcell.2025.1622345/full
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