ArticleRSC advances2025
Quantitative proteomic and glycoproteomic analysis identifies CLCA1, FBN1, and FGB as potential biomarkers for ulcerative colitis.
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
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Who cites it
2 citing papers in PubMed.
- Protein glycosylation profiling in lung adenocarcinoma and precursor lesions: analysis of FFPE tissue sections.Analytical and bioanalytical chemistry · 2026Article
- An epithelial mesenchymal transition associated gene signature stratifies risk of ulcerative colitis associated colorectal cancer.Discover oncology · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulcerative colitis (UC), a prevalent inflammatory bowel disease (IBD), significantly increases the risk of colorectal cancer with prolonged duration. Current diagnostic approaches for UC rely on clinical symptoms, inflammatory markers, and endoscopic findings. However, these methods often face challenges due to symptom overlap with Crohn's disease (CD) and other gastrointestinal conditions. This highlights a critical need for reliable biomarkers in human body fluids for accurate UC diagnosis and effective therapeutic intervention. To address this, we employed quantitative proteomic and glycoproteomic analysis using liquid chromatography-mass spectrometry on proteins extracted from UC tissues and paracancerous (PCA) tissues. Our comprehensive findings revealed that three differentially expressed glycoproteins (CLCA1, FBN1, and FGB) are likely associated with UC, although their expression patterns differ slightly different from those in CD. Site-specific glycosylation analysis further revealed that each
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Registered trials
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