高级检索
当前位置: 首页 > 详情页

Disease-Specific IgG Fc Glycosylation Ratios as Personalized Biomarkers to Differentiate Non-Small Cell Lung Cancer from Benign Lung Diseases

文献详情

资源类型:
WOS体系:
机构: [1]Chinese Acad Med Sci, Inst Basic Med Sci, Dept Biophys & Struct Biol, Beijing 100005, Peoples R China [2]Peking Union Med Coll, Sch Basic Med, Beijing 100005, Peoples R China [3]Tumor Hosp Jilin Prov, Dept Lab, Changchun 130012, Jilin, Peoples R China [4]Heze Municipal Hosp, Dept Clin Lab, Heze 274031, Shandong, Peoples R China
出处:
ISSN:

关键词: SUBCLASS-SPECIFIC GLYCOSYLATION ANTIBODY EFFECTOR FUNCTIONS IMMUNOGLOBULIN-G RHEUMATOID-ARTHRITIS PROTEIN COMPLEXES HUMAN-SERUM ANTIINFLAMMATORY ACTIVITY STRUCTURAL-CHANGES OLIGOSACCHARIDES GALACTOSYLATION

摘要:
Purpose The authors aimed to separate Fc N-glycopeptides of disease-specific immunoglobulin G (DSIgG) as personalized biomarkers to distinguish non-small cell lung cancer (NSCLC) from benign lung diseases (BLDs). Experimental design DSIgG from 509 BLDs patients and 477 NSCLC patients was isolated using native polyacrylamide gel electrophoresis and then the Fc glycosylation was determined using mass spectrometry. Results For the patients below 60 years of age, a combination of the glycopeptides ratios with one fucose residue difference of DSIgG1 and DSIgG2 can differentiate NSCLC from BLDs, with area under curve (AUC) values of >0.76, sensitivities of >87%, and specificities of >61%. For the patients above 60 years of age, a combination of the glycopeptides ratios with one monosaccharide residue of DSIgG2 can differentiate NSCLC from BLDs, with AUC values of >0.78, sensitivities of >91%, and specificities of >54%. For the same participants, the commonly used clinical biomarkers have AUC values of 0.5-0.621, sensitivities of 15.8-32.9%, and specificities of 75.7-90.5%. Conclusions These findings indicate that these DSIgG Fc glycoforms are potential personalized biomarkers to differentiate NSCLC from BLDs.

基金编号: 2018-I2M-AI-014 21575164 7162127

语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 生化研究方法
最新[2025]版:
大类 | 3 区 生物学
小类 | 3 区 生化研究方法
第一作者:
第一作者机构: [1]Chinese Acad Med Sci, Inst Basic Med Sci, Dept Biophys & Struct Biol, Beijing 100005, Peoples R China [2]Peking Union Med Coll, Sch Basic Med, Beijing 100005, Peoples R China
通讯作者:
通讯机构: [1]Chinese Acad Med Sci, Inst Basic Med Sci, Dept Biophys & Struct Biol, Beijing 100005, Peoples R China [*1]Chinese Acad Med Sci, Inst Basic Med Sci, Dept Biophys & Struct Biol, Beijing 100005, Peoples R China [2]Peking Union Med Coll, Sch Basic Med, Beijing 100005, Peoples R China [*2]Peking Union Med Coll, Sch Basic Med, Beijing 100005, Peoples R China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:28559 今日访问量:10 总访问量:1599 更新日期:2025-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学附属北京同仁医院 技术支持:重庆聚合科技有限公司 地址:北京市东城区东交民巷1号(100730)