This study aimed to investigate the association of IgG glycosylation and 
esophageal precancerosis for squamous cell carcinoma and determine its role in 
inflammation. Primary glycans selected by the least absolute shrinkage and 
selection operator (LASSO) algorithm were validated using univariate and 
multivariate logistics models plus restricted cubic spline functions. In total, 
24 direct glycans and 27 derived traits were detected, among which four glycans 
and three derived traits were primarily selected. Then, GP5 (adjusted OR: 
0.805), GP17 (adjusted OR: 1.305), G12n (adjusted OR: 1.271), Gal_1 (adjusted 
OR: 0.776) and Fuc (adjusted OR: 0.737) were validated and significantly 
associated with esophageal precancerosis. In addition, there was a consistent 
positive association in GP17 and G12n and a negative association in GP5, Gal_1, 
and Fuc by restricted cubic spline function. Compared with esophageal 
inflammation, GP17, G12n, and Fuc were still independently associated with 
precancerosis. In brief, the IgG glycosylation profile was independently 
associated with esophageal precancerosis beyond inflammation, which could be an 
early biomarker for esophageal cancer.Prevention Relevance: IgG glycosylation 
profile is associated with esophageal precancerosis and specific IgG glycans 
involves in the early stage of esophageal cancer, which is independent of 
inflammation.