Harnessing single-cell and multi-omics insights: STING pathway-based predictive signature for immunotherapy response in lung adenocarcinoma

Harnessing single-cell and multi-omics insights: STING pathway-based predictive signature for immunotherapy response in lung adenocarcinoma

BackgroundLung adenocarcinoma is the most prevalent type of small-cell carcinoma, with a poor prognosis. For advanced-stage patients, the efficacy of immunotherapy is suboptimal. The STING signaling pathway plays a pivotal role in the immunotherapy of lung adenocarcinoma; therefore, further investig...

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Bibliographic Details
Main Authors: Yang Ding, Dingli Wang, Dali Yan, Jun Fan, Zongli Ding, Lei Xue
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Immunology
Subjects:
non-small cell lung cancer
lung adenocarcinoma
single-cell RNA sequencing
prognosis signature
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1575084/full
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