Cong Zhang, Bin Liu, Xianjin Xie* and Degan Lu* Pages 1 - 17 ( 17 )
Background: Reactive oxygen species (ROS) are potential targets for treating malignant tumors.
Aims: The aim of this study was to probe into the mechanisms of disease development and treatment in lung adenocarcinoma (LUAD).
Objective: This study investigated the impact of ROS on the progression of LUAD at different transcriptomic levels and analyzed key molecules involved in the regulation of LUAD.
Methods: Single-cell RNA-seq (scRNA-seq) data of LUAD were clustered and annotated to determine cell types. Scissor cells based on LUAD bulk transcriptome and epithelial scRNA-seq data were used to classify subsets associated with ROS phenotypes. Least absolute shrinkage and selection operator (LASSO) and stepwise multivariate regression analyses were performed between the Scissor-positive and Scissor-negative epithelial cells to select key differentially expressed genes (DEGs) for developing a ROS-related signature.
Results: The ROS score was significantly negatively correlated with the overall survival (OS) of LUAD. Seven cell types from the LUAD tissues were identified. The ROS-related gene signature was significantly correlated with metabolism, tumor microenvironment (TME) indicators, and the half-maximal inhibitory concentration (IC50) values of 10 drugs. The gene signature was verified as an independent indicator for LUAD prognosis.
Conclusion: The current study provided novel insights into the impact of ROS on LUAD pathology at both single-cell and bulk-tissue levels, facilitating the prognostic evaluation and drug therapy development for patients with LUAD.
Reactive oxygen species, lung adenocarcinoma, prognosis, metabolism, tumor microenvironment, drug therapy.