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Dataset Information

Construction and validation of an oxidative phosphorylation-related gene signature in lung squamous cell carcinoma patients.


ABSTRACT:

Background

Metabolic reprogramming, particularly toward oxidative phosphorylation (OXPHOS), is a hallmark of lung squamous cell carcinoma (LUSC) and contributes to its aggressive phenotype and immunosuppressive microenvironment. While OXPHOS activation is increasingly recognized as a key metabolic feature in LUSC, its prognostic implications and associated gene signatures remain underexplored. This study aimed to identify OXPHOS-related differentially expressed genes (DEGs) and construct a robust prognostic signature for LUSC.

Methods

Using GEO datasets, we developed an OXPHOS-related prognostic signature via ssGSEA, differential analysis, and LASSO-Cox regression.

Results

An 8-gene OXPHOS-related signature (LTBP1, MFGE8, ACTN1, CD59, CDC25C, SAAL1, SFXN4, PTTG

SUBMITTER: Dai N 

PROVIDER: S-EPMC12688223 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature