Recent studies have indicated that the GIMAP family is downregulated in lung cancer and correlates with poor prognosis, although the underlying mechanisms remain unclear. This study aimed to elucidate the mechanism behind GIMAP1 downregulation in lung cancer. Bioinformatics tools were employed to assess the correlation between the GIMAP family and various cancers. Specifically, GIMAP1 was selected for further investigation, and its role in lung adenocarcinoma was confirmed through RNA sequencing analysis, Gene Set Enrichment Analysis (GSEA) of differentially expressed genes, correlation analysis with immune cell infiltration, and assay of the GIMAP1-TMX1 interaction. Based on bioinformatics analysis and real-world cohort studies, it was found that GIMAP1 was underexpressed in lung cancer tissues but exhibited elevated expression following immunotherapy. Overexpression of GIMAP1 was shown to influence several immune signaling pathways. In patients with high GIMAP1 expression, there was a significant increase in the infiltration of CD8