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An Integrative Machine Learning Approach Identifies a Cancer- Associated Fibroblast–Driven Predictive Model for Early-Stage Lung Squamous Cell Carcinoma

2026-03-20

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<title>Abstract</title> <p> <bold>Background</bold> Lung squamous cell carcinoma (LUSC) remains associated with unfavorable clinical outcomes, even in early-stage disease. Increasing evidence indicates that the tumor microenvironment (TME), particularly cancer-associated fibroblasts (CAFs), plays a crucial role in tumor progression and therapeutic resistance. However, the prognostic and therapeutic implications...

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Literature Corpus work
4d742b7e-8e63-5d11-a370-601f4de7a04c
DOI
10.21203/rs.3.rs-8948144/v1
Open publication

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