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ABSTRACT: Background
Given the poor prognosis of lung squamous cell carcinoma (LUSC), the aim of this study was to screen for new prognostic biomarkers.Methods
The TGCA_LUSC dataset was used as the training set, and GSE73403 was used as the validation set. The genes involved in necroptosis-related pathways were acquired from the KEGG database, and the differential genes between the LUSC and normal samples were identified using the GSEA. A necroptosis signature was constructed by survival analysis, and its correlation with patient prognosis and clinical features was evaluated. The molecular characteristics and drug response associated with the necroptosis signature were also identified. The drug candidates were then validated at the cellular level.Results
The TCGA_LUSC dataset
SUBMITTER: Song GQ
PROVIDER: S-EPMC10713426 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature