ArticleScientific reports2021
Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- The glycobiology of prostate cancer: an update.Oncogene · 2026Review
- Article
- Distinct Proteomic and Glycosylation Signatures Differentiate A549 Tumor and BEAS-2B Nontumor Cell Line-Derived Small Extracellular Vesicles.Molecular & cellular proteomics : MCP · 2026Article
- Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations.Molecular oncology · 2025Article
- Intact glycopeptide analysis of human prostate tissue reveals site-specific heterogeneity of protein glycosylation in prostate cancer.Glycobiology · 2025Article
- Potential Glycobiomarkers in Maternal Obesity and Gestational Diabetes During Human Pregnancy.Journal of clinical medicine · 2025Article
- Microfibril-associated glycoprotein 4 forms octamers that mediate interactions with elastogenic proteins and cells.Nature communications · 2024Article
- In-Depth Glycoproteomic Assay of Urinary Prostatic Acid Phosphatase.ACS measurement science au · 2024Article
- Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS.Journal of applied statistics · 2024Article
- Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.Journal of proteome research · 2023Review
- Capitalizing glycomic changes for improved biomarker-based cancer diagnostics.Exploration of targeted anti-tumor therapy · 2023Review
- From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer.International journal of molecular sciences · 2022Review
- Proteomic Analysis of Lung Cancer Types-A Pilot Study.Cancers · 2022Article
- An analytical study on the identification of N-linked glycosylation sites using machine learning model.PeerJ. Computer science · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying molecular alterations occurring during cancer progression is essential for a deeper understanding of the underlying biological processes. Here we have analyzed cancerous and healthy prostate biopsies using nanoLC-MS(MS) to detect proteins with altered expression and N-glycosylation. We have identified 75 proteins with significantly changing expression during disease progression. The biological processes involved were assigned based on protein-protein interaction networks. These include cellular component organization, metabolic and localization processes. Multiple glycoproteins were identified with aberrant glycosylation in prostate cancer, where differences in glycosite-specific sialylation, fucosylation, and galactosylation were the most substantial. Many of the glycoproteins with altered N-glycosylation were extracellular matrix constituents, and are heavily involved in the establishment of the tumor microenvironment.
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