Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma

Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma

BackgroundThe Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which AhR influences melanoma remain insufficiently underst...

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Bibliographic Details
Main Authors: Qianru Li, Heli Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
Aryl Hydrocarbon Receptor
melanoma
prognostic model
immune cell infiltration
machine learning models
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1519345/full
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