Classifying molecular subtypes and establishing a prognosis model using oxidative stress-related genes for lung...

Oxidative stress correlates with the development and prognosis of lung adenocarcinoma (LUAD). This study, on the basis of oxidative stress-related genes (OSRGs), commences to identify molecular subtypes and develop prognostic model for LUAD.

LUAD samples were derived from the public database. OSRGs were acquired from GeneCards database. Molecular subtypes were classified by "ConsensusClusterPlus" package. Overall survival (OS) rate, clinical and immune infiltration features in different subtypes were compared. Differentially expressed genes (DEGs) were screened employing "limma" package. Thereafter, prognostic OSRGs signatures were identified via LASSO regression analysis. Further, we developed a RiskScore model and validated its predictive performance. Pathway enrichment analysis was carried out in different risk groups.

Two molecular subtypes (Cluster1, Cluster2) of LUAD were classified with different survival outcomes, clinical features, and immune cell infiltration. Subsequently, 7-OSRGs prognostic signatures in LUAD were identified to establish RiskScore model, comprising TPSB2, CENPH, HIST1H1E, SULT2B1, CCL20, SERPINE1, and DKK1. High-risk group exhibited lower OS rate than low-risk group. The model exhibited robustness and was an independent indicator in predicting LUAD prognosis. Additionally, high-risk group was chiefly involved in cell function-relevant pathways, while low-risk group was chiefly implicated in immune-relevant pathways.

This study distinguished two molecular subtypes and developed a prognostic RiskScore model linked to OSRGs in LUAD. However, these findings still require further verification through multiple prospective experiments.

Taken together, our current research could offer some guidance for the precise stratification and treatment of LUAD.