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

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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Bibliographic Details
Main Authors: Dongxiao Ding, Gang Huang, Liangbin Wang, Ke Shi, Junjie Ying, Wenjun Shang, Li Wang, Chong Zhang, Maofen Jiang, Yaxing Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
immune escape
machine learning
lung adenocarcinoma
prognostic signature
immunotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1622345/full
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https://www.frontiersin.org/articles/10.3389/fcell.2025.1622345/full

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