Aims: In this study, we propose a non-invasive approach utilizing quantitative proteomics analysis of urine samples to identify potential biomarkers for gastric cancer. Methods: Urine samples were collected from 30 gastric cancer patients, 30 early-stage gastric cancer patients, and 30 healthy controls at Beijing Shijitan and Beijing Friendship Hospitals. For further confirmation, we correlated our findings with The Cancer Genome Atlas database, which uses tandem mass tag tagged quantitative proteomics. Results: In individuals with advanced gastric cancer compared to control group, 376 urine proteins were differentially expressed, while 191 urine proteins were differentially expressed in individuals with early gastric cancer compared to control group. An analysis of gene ontology revealed that these differentially expressed proteins are primarily involved in cell adhesion, biological adhesion, and negative regulation. Through a comprehensive analysis that considered high FC value, low p-value, and alignment with existing literature, we identified five potential urine proteins (PYGB, ITGB3, COL1A1, and TNFRSF12A) as showing differential expression between the AGC and CG groups，three potential urine proteins (HSPA8, CTSL, and FTL) as showing differential expression between the EGC and CG groups. Conclusion: Understanding the roles and pathways of differentially expressed proteins has clarified the molecular mechanisms of gastric cancer.