Evidence map›Paper›PMID 39609732›Full record

ArticleClinical proteomics2024

Identification of serum N-glycans signatures in three major gastrointestinal cancers by high-throughput N-glycome profiling.

Si Liu, Jianmin Huang, Yuanyuan Liu, Jiajing Lin, Haobo Zhang, Liming Cheng, Weimin Ye, Xin Liu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

8 authors.

Si Liu *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Jianmin Huang *Digestive Endoscopy Center, South Branch of Fujian Provincial Hospital, Fuzhou, 350000, China.
Yuanyuan LiuThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, No. 1037 Luoyudong Road, Hongshan District, Wuhan, 430074, China.
Jiajing LinThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, No. 1037 Luoyudong Road, Hongshan District, Wuhan, 430074, China.
Haobo ZhangThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, No. 1037 Luoyudong Road, Hongshan District, Wuhan, 430074, China.
Liming ChengDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430074, China.
Weimin YeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China. ywm@fjmu.edu.cn.
Xin LiuThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, No. 1037 Luoyudong Road, Hongshan District, Wuhan, 430074, China. xliu@mail.hust.edu.cn.

Funding

High-Level Talents Research Start-Up Project of Fujian Medical University XRCZX2023015High-Level Talents Research Start-Up Project of Fujian Medical University XRCZX2023030Key Project of Education and Scientific Research for Young and Middle-aged People of Fujian Province JZ230019National Key Research and Development Program of China 2022YFC3400800National Natural Science Foundation of China 81827901National Natural Science Foundation of China 82272418
6 · The paper itself

Abstract

backgroundAlternative N-glycosylation of serum proteins has been observed in colorectal cancer (CRC), esophageal squamous cell carcinoma (ESCC) and gastric cancer (GC), while comparative study among those three cancers has not been reported before. We aimed to identify serum N-glycans signatures and introduce a discriminative model across the gastrointestinal cancers.

methodsThe study population was initially screened according to the exclusion criteria process. Serum N-glycans profiling was characterized by a high-throughput assay based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Diagnostic model was built by random forest, and unsupervised machine learning was performed to illustrate the differentiation between the three major gastrointestinal (GI) cancers.

resultsWe have found that three major gastrointestinal cancers strongly associated with significantly decreased mannosylation and mono-galactosylation, as well as increased sialylation of serum glycoproteins. A highly accurate discriminative power (> 0.90) for those gastrointestinal cancers was obtained with serum N-glycome based predictive model. Additionally, serum N-glycome profile exhibited distinct distributions across GI cancers, and several altered N-glycans were hyper-regulated in each specific disease.

conclusionsSerum N-glycome profile was differentially expressed in three major gastrointestinal cancers, providing a new clinical tool for cancer diagnosis and throwing a light upon the disease-specific molecular signatures.

Identifiers

PMID39609732
PMCPMC11604001

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