Integrating Multiomics and Machine Learning: Senescence-Regulated ALMS1-IT1/miR-7c-5p/HMGA2 Axis as a Novel Therapeutic Target for Head and Neck Squamous Cell Carcinoma.

ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) is distinguished by the absence of definitive diagnostic markers and effective treatment modalities, which results in its poor clinical outcomes. Although senescence-targeted therapies have emerged as promising interventions, the functional complexity of cellular senescence in HNSCC pathogenesis remains poorly characterized. This study investigated the role of senescence levels in HNSCC through an extensive multiomics analysis coupled with a diverse array of machine learning algorithms. Results indicate that elevated senescence levels in HNSCC, alongside a novel subtyping based on senescence-associated long noncoding RNAs, highlight significant variations in the tumor microenvironment and treatment responses across different subtypes. We used a

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC12268463 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature