Evidence map›Paper›PMID 39923034›Full record

ArticleClinical proteomics2025

Integrated proteomics and N-glycoproteomic characterization of glioblastoma multiform revealed N-glycosylation heterogeneities as well as alterations in sialyation and fucosylation.

Mingjun Hu, Kaiyue Xu, Ge Yang, Bo Yan, Qianqian Yang, Liang Wang, Shisheng Sun, Huijuan Wang

Abstract read
In one paragraph

Article in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 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.

Mingjun HuFaculty of Life Sciences and Medicine, Northwest University Chang An Hospital, Northwest University, Xi'an, 710069, Shaanxi, China.
Kaiyue XuNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Ge YangNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Bo YanNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Qianqian YangNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Liang WangDepartment of Neurosurgery, Tangdu Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Shisheng SunNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China. suns@nwu.edu.cn.
Huijuan WangNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, Shaanxi, China. whj@nwu.edu.cn.

Funding

Natural Science Basic Research Program of Shaanxi Province Program No. 2023-JC-YB-712Xi'an Science and Technology plan project 2024JH-YLYB-0451Xi'an Talent Program XAYC210032
6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is the most common malignant primary brain tumor. Notwithstanding tremendous efforts having been put in multi-omics research to profile the dysregulated molecular mechanisms and cellular pathways, there is still a lack of understanding about the glycoproteomic of GBM. Glycosylation as one of the most important post-translational modifications is crucial in regulating cell proliferation and relevant oncogenic pathways.

resultsIn the study, we systematically profiled N-glycoproteomics of para-cancerous and cancerous tissues from GBM patients to reveal the site-specific N-glycosylation pattern defined by intact glycopeptides. We identified and quantified 1863 distinct intact glycopeptides (IGPs) with 161 N-linked glycan compositions and 326 glycosites. There were 396 IGPs from 43 glycoproteins differed between adjacent tissues and GBM. Then, proteomic and glycoproteomic data were combined, and the normalized glycosylation alteration was calculated to determine whether the difference was attributed to the global protein levels or glycosylation. The altered glycosylation triggered by site-specific N-glycans and glycoprotein abundance, as well as glycosite heterogeneity, were demonstrated. Ultimately, an examination of the overall glycosylation levels revealed a positive contribution of sialylated or/and fucosylated glycans.

conclusionsOverall, the dataset highlighted molecular complexity and distinct profiling at translational and post-translational levels, providing valuable information for novel therapeutic approaches and specific detection strategies.

Indexed as

Glioblastoma multiformIntact glycopeptidesN-glycanN-glycosylation heterogeneitiesProteomics

Identifiers

PMID39923034
PMCPMC11807306

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.