Predicting the clinical prognosis of non-small cell lung cancer patients by predicting ALOX5 expression: a radiomics model.

ABSTRACT:

Background

Arachidonic acid 5-lipoxygenase (ALOX5) may play an important role in non-small cell lung cancer (NSCLC) progression and treatment and may be a potential prognostic biomarker for NSCLC. This study aimed to predict the clinical prognosis of NSCLC patients by predicting ALOX5 expression using a radiomics model.

Methods

Clinical and transcriptomic data of NSCLC patients were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and used for survival analysis (Kaplan-Meier survival curves: univariate and multivariate factors, Cox regression analysis, subgroup analysis and interaction test), correlation analysis of tumor clinical characteristics and immune cell abundance, and differential analysis of ferroptosis-related genes to evalu

SUBMITTER: Hu P 

PROVIDER: S-EPMC11986756 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature