Independent validation of lung adenocarcinoma prognostic risk scores incorporating cholesterol and estrogen metabolism related transcriptional biomarkers
Year: 2025
Type: article
Abstract: We investigated the prognostic significance of cholesterol metabolism-related genes (CMRGs) and estrogen metabolism-related genes (EMRGs) in lung adenocarcinoma (LUAD). Transcriptomic and clinical data from the cancer genome atlas (TCGA) and gene expression omnibus (GEO) databases were analyzed. Iterative sure independence screening and least absolute shrinkage and selection operator (ISIS-LASSO) Cox regression identified prognostic CMRGs and EMRGs. Two risk scores-Cholescore and Estrogenscore-were constructed and validated. High Cholescore was associated with poor overall survival (OS), reduced immune infiltration, low immune checkpoint expression, and high tumor purity, suggesting an immunosuppressive tumor microenvironment. Estrogenscore also independently predicted LUAD prognosis. Mediation analysis revealed that estrogen-related pathways partially mediated the impact of cholesterol metabolism on prognosis. A significant interaction between Cholescore and Estrogenscore was identified, and patients with both high scores had the worst OS and lowest predicted immunotherapy benefit. Combining the two scores significantly improved the area under the curve (AUC) for 1-5 years OS prediction. These findings suggest that integrating cholesterol and estrogen metabolism signatures can improve LUAD prognostic stratification and provide molecular insights into tumor-immune interactions and immunotherapy response prediction.
Source: Scientific Reports
Authors: Qian Zhu, Yuemei Zhang, Jian Ma, Yongjia Li, Hongya Liu, Zhongwen Gong, Ming Du, Xuemei Lian
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G2408573774, G3423756551, G5514438045
OpenAlex ID: W4415734915
