Serum protein N-glycome patterns reveal alterations associated with endometrial cancer and its phenotypes of differentiation

被引:1
作者
Zhang, Zejian [1 ]
Cao, Zhen [2 ]
Wang, Jinhui [3 ]
Li, Zepeng [4 ]
Wang, Tao [3 ]
Xiang, Yang [3 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Med Res Ctr, State Key Lab Complex Severe & Rare Dis, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Gen Surg, Beijing, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Natl Clin Res Ctr Obstet & Gynecol Dis, Dept Obstet & Gynecol, Beijing, Peoples R China
[4] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Clin Lab, Beijing, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2023年 / 14卷
基金
中国国家自然科学基金;
关键词
endometrial cancer; diagnosis; N-glycosylation; serum N-glycome; biomarker; mass spectrometry; BIOMARKER; GLYCOSYLATION; TOOL;
D O I
10.3389/fendo.2023.1157487
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundAberrant N-glycosylation and its involvement in pathogenesis have been reported in endometrial cancer (EC). Nevertheless, the serum N-glycomic signature of EC remains unknown. Here, we investigated serum N-glycome patterns of EC to identify candidate biomarkers. MethodsThis study enrolled 34 untreated EC patients and 34 matched healthy controls (HC) from Peking Union Medical College Hospital. State-of-the-art MS-based methods were employed for N-glycans profiling. Multivariate and univariate statistical analyses were used to identify discriminative N-glycans driving classification. Receiver operating characteristic analyses were performed to evaluate classification accuracy. ResultsEC patients displayed distinct differences in serum N-glycome and had abnormal high-mannose and hybrid-type N-glycans, fucosylation, galactosylation, and linkage-specific sialylation compared with HC. The glycan panel built with the four most discriminative and biologically important derived N-glycan traits could accurately identify EC (random forest model, the area under the curve [AUC]=0.993 [95%CI 0.955-1]). The performance was validated by two other models. Total hybrid-type N-glycans significantly associated with the differentiation types of EC could effectively stratify EC into well- or poorly-differentiated subgroups (AUC>0.8). ConclusionThis study provides the initial evidence supporting the utility of serum N-glycomic signature as potential markers for the diagnosis and phenotyping of EC.
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页数:13
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