Advancing prognostic and therapeutic prediction in lung squamous cell carcinoma through integrated multi-omics analysis and 117 machine learning combinations. (PubMed, J Thorac Dis) - Oct 29, 2025 - "The optimal prognosis signature (OPS) was constructed based on the CC-related genes and 117 ML algorithms in early- and advanced-stage LUSC, with data sourced from TCGA, GSE157011, GSE73403, GSE37745, and GSE14814 cohorts...AZD6482_2169 and Selumetinib_1736 were identified as potential therapeutic agents for the high OPS group...Additionally, sepantronium bromide_1941 was identified as a potential therapeutic agent for the high OPS group. The single-cell analysis suggested that the OPS-related genes were predominantly expressed in epithelial cells. This study developed a novel approach for the precise and individualized treatment of LUSC patients using advanced ML and multi-omics integration technology."
Journal • Non Small Cell Lung Cancer • Oncology • Squamous Cell Carcinoma
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Guangcai Wan; Hongshuai Sun; Lianzhi Cui; Shuang Li; Xuefeng Wu
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