EFNA3 and gastric cancer: This study aimed to stratify gastric cancer samples by invasion and, within a multi-omics framework, comprehensively assess their clinical features to identify stable biomarkers with translational potential.<h4>Methods</h4>By integrating multiple machine-learning algorithms with multi-omics data, we identified EFNA3 as a core gene closely associated with the invasive phenotype.