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.