Evidence map›Paper›PMID 41093273›Full record

ArticleMolecular & cellular proteomics : MCP2025

Glycoprotein-Notebook: A Pan-Cancer Glycoproteomic Database and Toolkit for Analysis of Protein Glycosylation Changes Associated With Cancer Phenotypes.

Hui Zhang, Trung Hoang, Yingwei Hu

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Article in Molecular & cellular proteomics : MCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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3 · Its place in the literature

Who cites it

6 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

3 authors.

Hui ZhangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: huizhang@jhu.edu.
Trung HoangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yingwei HuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: yhu39@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein glycosylation plays a pivotal role in various biological processes, and the analysis of intact glycopeptides (IGPs) has emerged as a powerful approach for characterizing alterations in protein glycosylation associated with diseases. Despite the critical insights gained from IGP analysis, dedicated databases and specialized tools for comprehensive glycoproteomics remain scarce. In response to this deficiency, we developed "Glycoprotein-Notebook," an online resource that consolidates the mass spectrometry evidence for IGPs identified from pan-cancer types studied in the Clinical Proteomic Tumor Analysis Consortium projects and provides analytical tools for in-depth glycopeptide characterization. Using pancreatic ductal adenocarcinoma as a case study, we validated and showcased the toolkit's analytical capabilities. Our results underscore the promise of IGPs as cancer-specific diagnostic and therapeutic targets. Accordingly, Glycoprotein-Notebook emerges as a valuable resource for cancer researchers exploring the intricate relationship between protein glycosylation and cancer phenotypes.

Indexed as

Databases, ProteinGlycoproteinsNeoplasmsPancreatic NeoplasmsProteomicsCarcinoma, Pancreatic DuctalGlycopeptidesGlycosylationHumansPhenotypeGlycopeptidesGlycoproteinscancerdatabaseglycopeptidesglycoproteomicsmass spectrometrypancreatic ductal adenocarcinoma

Identifiers

PMID41093273
PMCPMC12681939

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Registered trials

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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.