Integrative Mendelian randomization and spatial transcriptomics analysis reveals causal links between plasma lipidome and non-small cell lung cancer.

ABSTRACT:

Background

This study aimed to investigate the potential causal relationship between plasma lipidome and non-small cell lung cancer (NSCLC) using a two-sample Mendelian randomization (MR) approach based on large-scale genome-wide association study (GWAS) data.

Methods

A two-sample bidirectional MR analysis was conducted using summary-level data from the GeneRISK and FinnGen GWAS. Genetic instruments were selected for 179 plasma lipid traits. Causal effects were estimated using inverse variance weighting (IVW), MR-Egger, weighted median, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) methods. Spatial transcriptomic profiling and machine learning-based gene prioritization were further employed to explore potential mechanistic links.

Results

SUBMITTER: Zhang B 

PROVIDER: S-EPMC12618756 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature