Evidence map›Paper›PMID 36999031›Full record

ArticleFrontiers in immunology2023

Identification and validation of IgG N-glycosylation biomarkers of esophageal carcinoma.

Huiying Pan, Zhiyuan Wu, Haiping Zhang, Jie Zhang, Yue Liu, Zhiwei Li, Wei Feng, Guiqi Wang, Yong Liu, Deli Zhao and 11 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 2 countries.

Huiying PanDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Zhiyuan WuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Haiping ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Jie ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yue LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Zhiwei LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Wei FengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Guiqi WangDepartment of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yong LiuDepartment of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Deli ZhaoCancer Centre, The Feicheng People's Hospital, Feicheng, Shandong, China.
Zhiyi ZhangDepartment of Gastroenterology, Gansu Wuwei Cancer Hospital, Wuwei, Gansu, China.
Yuqin LiuCancer Epidemiology Research Centre, Gansu Province Cancer Hospital, Lanzhou, Gansu, China.
Zhe ZhangDepartment of Occupational Health, Wuwei Center for Disease Prevention and Control, Wuwei, Gansu, China.
Xiangtong LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Lixin TaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yanxia LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xiaonan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xinghua YangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Feng ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Capital Medical University · CNHuawei Technologies (China) · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNEdith Cowan University · AULa Trobe University · AUZoucheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Altered Immunoglobulin G (IgG) N-glycosylation is associated with aging, inflammation, and diseases status, while its effect on esophageal squamous cell carcinoma (ESCC) remains unknown. As far as we know, this is the first study to explore and validate the association of IgG N-glycosylation and the carcinogenesis progression of ESCC, providing innovative biomarkers for the predictive identification and targeted prevention of ESCC. Methods: In total, 496 individuals of ESCC (n=114), precancerosis (n=187) and controls (n=195) from the discovery population (n=348) and validation population (n=148) were recruited in the study. IgG N-glycosylation profile was analyzed and an ESCC-related glycan score was composed by a stepwise ordinal logistic model in the discovery population. The receiver operating characteristic (ROC) curve with the bootstrapping procedure was used to assess the performance of the glycan score. Results: In the discovery population, the adjusted OR of GP20 (digalactosylated monosialylated biantennary with core and antennary fucose), IGP33 (the ratio of all fucosylated monosyalilated and disialylated structures), IGP44 (the proportion of high mannose glycan structures in total neutral IgG glycans), IGP58 (the percentage of all fucosylated structures in total neutral IgG glycans), IGP75 (the incidence of bisecting GlcNAc in all fucosylated digalactosylated structures in total neutral IgG glycans), and the glycan score are 4.03 (95% CI: 3.03-5.36, P<0.001), 0.69 (95% CI: 0.55-0.87, P<0.001), 0.56 (95% CI: 0.45-0.69, P<0.001), 0.52 (95% CI: 0.41-0.65, P<0.001), 7.17 (95% CI: 4.77-10.79, P<0.001), and 2.86 (95% CI: 2.33-3.53, P<0.001), respectively. Individuals in the highest tertile of the glycan score own an increased risk (OR: 11.41), compared with those in the lowest. The average multi-class AUC are 0.822 (95% CI: 0.786-0.849). Findings are verified in the validation population, with an average AUC of 0.807 (95% CI: 0.758-0.864). Discussion: Our study demonstrated that IgG N-glycans and the proposed glycan score appear to be promising predictive markers for ESCC, contributing to the early prevention of esophageal cancer. From the perspective of biological mechanism, IgG fucosylation and mannosylation might involve in the carcinogenesis progression of ESCC, and provide potential therapeutic targets for personalized interventions of cancer progression.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaBiomarkersGlycosylationHumansImmunoglobulin GPolysaccharidesBiomarkersImmunoglobulin GPolysaccharidesbiomarkersesophageal squamous cell carcinomaglycomicsglycosylationimmunoglobulin G

Identifiers

PMID36999031
PMCPMC10043232
OpenAlexW4324145527

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