ArticleGlycoconjugate journal2021
Serum N-glycan profiles differ for various breast cancer subtypes.
Article in Glycoconjugate journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Sequential MALDI-MSI-Based Multiomics Reveals Spatial Lipid, Glycan, and Tryptic Peptide Signatures in Breast Tumor Histopathology.Analytical chemistry · 2026Article
- Hematologic Glyco-Signatures: Emerging Blood-Based Sugar Codes Linked to Hyper-Aggressive Breast Cancer.Breast cancer (Dove Medical Press) · 2026Review
- Article
- N-Glycan-Dependent Proinflammatory Effects of IgM in Anti-MAG Neuropathy.Neurology(R) neuroimmunology & neuroinflammation · 2025Article
- Glycomics in Human Diseases and Its Emerging Role in Biomarker Discovery.Biomedicines · 2025Review
- Upregulation of Sulfated N-Glycans in Serum as Predictive Biomarkers for Early-Stage Breast Cancer.International journal of molecular sciences · 2025Article
- N-glycan as new potential biomarker for predicting treatment response in patients with type 2 diabetes mellitus.Biomarkers in medicine · 2024Article
- Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level.Nature communications · 2024Article
- Recent advances in N-glycan biomarker discovery among human diseases.Acta biochimica et biophysica Sinica · 2024Review
- The Human BloodJACS Au · 2024Review
- Heterogeneity of Glycan Biomarker Clusters as an Indicator of Recurrence in Pancreatic Cancer.bioRxiv : the preprint server for biology · 2023Article
- Heterogeneity of glycan biomarker clusters as an indicator of recurrence in pancreatic cancer.Frontiers in oncology · 2023Article
- Multiomics insights on the onset, progression, and metastatic evolution of breast cancer.Frontiers in oncology · 2023Review
- Integrating age, BMI, and serum N-glycans detected by MALDI mass spectrometry to classify suspicious mammogram findings as benign lesions or breast cancer.Scientific reports · 2022Article
- Toolbox Accelerating Glycomics (TAG): Improving Large-Scale Serum Glycomics and Refinement to Identify SALSA-Modified and Rare Glycans.International journal of molecular sciences · 2022Article
- High-Throughput Glycomic Methods.Chemical reviews · 2022Review
- Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022.Mass spectrometry reviewsReview
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study.
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