Site-specific immunoglobulin G N-glycosylation is associated with gastric cancer progression

被引:0
|
作者
Xu, Tingting [1 ]
Huang, Jianmin [2 ]
Lin, Jiajing [3 ]
Liu, Yuanyuan [3 ]
Wang, Yi [4 ]
Shen, Wenkang [2 ]
He, Jianjie [3 ]
Chen, Shuyun [1 ]
Zhu, Xi [1 ]
Que, Yuqin [1 ]
Hu, Mengting [1 ]
Chen, Yu [1 ]
Cheng, Liming [4 ]
He, Honghao [5 ]
Liu, Xin [3 ]
Liu, Si [1 ]
机构
[1] Fujian Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Fuzhou 350122, Peoples R China
[2] Fuzhou Univ, Digest Endoscopy Ctr, Affiliated Prov Hosp, Fuzhou 350000, Peoples R China
[3] Huazhong Univ Sci & Technol, Hubei Bioinformat & Mol Imaging Key Lab, Dept Biomed Engn,Wuhan Natl Lab Optoelect, Coll Life Sci & Technol,Key Lab Biomed Photon MOE, Wuhan 430074, Peoples R China
[4] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Lab Med, Wuhan 430074, Peoples R China
[5] Sino US Telemed Wuhan Co Ltd, Wuhan 430074, Peoples R China
关键词
Gastric cancer; IgG N-glycans; IgG glycopeptides; IL-11; Bioinformatics analysis; EFFECTOR FUNCTIONS; GLYCANS; GLYCOME; METHYLAMIDATION; STRATEGY; MS;
D O I
10.1186/s12885-025-13616-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundThe relationship between cancer development and alterations in IgG N-glycosylation has been well-established. However, comprehensive profiling of the N-glycome and N-glycoproteome in gastric cancer (GC) remains limited. Furthermore, the prognostic potential of IgG N-glycan patterns in identifying precursors to GC has yet to be fully elucidated.MethodsThe IgG N-glycome in GC was characterized using a custom high-throughput orthogonal mass spectrometry approach. Multivariate analysis was employed to identify and assess glycomic alterations. A comprehensive bioinformatics analysis was also conducted to investigate the differential expression of N-glycosylation-related genes and their potential roles in GC pathogenesis. Additionally, interleukin-11 (IL-11) levels were quantified using a standardized enzyme-linked immunosorbent assay (ELISA).ResultsGalactosylation and sialylation of IgG decreased mainly in the IgG1 and IgG2 subclasses in GC, with subclass-specific changes in IgG3 and IgG4 galactosylation. These glycan modifications were represented by unique glycopeptides (IgG1_H5N5, IgG2_H4N3F1, IgG2_H4N4, IgG2_H4N4F1S1, IgG3/4_H4N4F1, IgG3/4_H4N4F1S1), which outperformed CA72-4 for GC diagnosis. Analysis of key glycogenes revealed differential expression patterns, implicating a functional role for IgG N-glycosylation in GC. Notably, the abundance of specific IgG glycosylation exhibited a significant correlation with serum level of IL-11.ConclusionsAlterations in subclass-specific IgG N-glycosylation represent promising biomarkers for the detection and monitoring of GC progression, potentially influenced by cytokine-driven inflammation. Understanding these changes could improve our knowledge of molecular mechanisms, aiding in diagnostic improvements and therapeutic development.
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页数:13
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