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Dataset Information

The necroptosis signature and molecular mechanism of lung squamous cell carcinoma.


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