SLC16A3 and lung adenocarcinoma: A CT radiomics model effectively predicted the combined expression of these genes (AUC = 0.765), linking imaging features to molecular phenotypes.<h4>Conclusion</h4>This study reveals that the synergistic expression pattern of PSMB5, PSMB7 and SLC16A3 is closely associated with lung adenocarcinoma metastasis and poor prognosis, confirming their potential value as prognostic biomarkers and therapeutic targets.