ArticleMolecular cancer research : MCR2021
N-Glycosylation Patterns Correlate with Hepatocellular Carcinoma Genetic Subtypes.
Article in Molecular cancer research : MCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 37 citations in OpenAlex.
- A comprehensive landscape of human organ N-glycoproteome.Nature communications · 2026Article
- Impaired glycosylation promotes rapid transition to hepatocellular carcinoma in model of diet-induced steatotic liver disease.The Journal of clinical investigation · 2026Article
- MIMIC: a flexible pipeline to register and summarize IMC-MSI experiments.Communications biology · 2026Article
- STT3A-mediated FCN3 N-glycosylation promotes Treg cell activation to drive hepatocellular carcinoma progression via Wnt/β-catenin.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Unveiling the hidden regulators: how post-translational modifications influence the progression and treatment of hepatocellular carcinoma.Frontiers in oncology · 2026Review
- Current Advancements in Serum Protein Biomarkers for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma.Immunity, inflammation and disease · 2025Review
- N-Linked Fucosylated Glycans Are Biomarkers for Prostate Cancer with a Neuroendocrine and Metastatic Phenotype.Molecular cancer research : MCR · 2025Article
- Post-translational modifications in hepatocellular carcinoma: unlocking new frontiers in immunotherapy.Frontiers in immunology · 2025Review
- Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma.Communications medicine · 2024Article
- Preoperative Serum Glycan Levels Reflect Progression of Patients With Hepatocellular Carcinoma.Cancer medicine · 2024Article
- The Spatial Extracellular Proteomic Tumor Microenvironment Distinguishes Molecular Subtypes of Hepatocellular Carcinoma.Journal of proteome research · 2024Article
- Article
- Spatial Omics Reveals that Cancer-Associated Glycan Changes Occur Early in Liver Disease Development in a Western Diet Mouse Model of MASLD.Journal of proteome research · 2024Article
- An N-glycome tissue atlas of 15 human normal and cancer tissue types determined by MALDI-imaging mass spectrometry.Scientific reports · 2024Article
- Recent Developments and Application of Mass Spectrometry Imaging in N-Glycosylation Studies: An Overview.Mass spectrometry (Tokyo, Japan) · 2024Review
- Blood biomarkers of hepatocellular carcinoma: a critical review.Frontiers in cell and developmental biology · 2024Review
- Loss of cis-PTase function in the liver promotes a highly penetrant form of fatty liver disease that rapidly transitions to hepatocellular carcinoma.bioRxiv : the preprint server for biology · 2023Article
- Article
- The role of N-glycosylation modification in the pathogenesis of liver cancer.Cell death & disease · 2023Review
- Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach.Advances in cancer research · 2023Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Hepatocellular carcinoma (HCC) is the second leading cause of cancer deaths globally, and the incidence rate in the United States is increasing. Studies have identified inter- and intratumor heterogeneity as histologic and/or molecular subtypes/variants associated with response to certain molecular targeted therapies. Spatial HCC tissue profiling of N-linked glycosylation by matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) may serve as a new method to evaluate the tumor heterogeneity. Previous work has identified significant changes in the N-linked glycosylation of HCC tumors but has not accounted for the heterogeneous genetic and molecular nature of HCC. To determine the correlation between HCC-specific N-glycosylation changes and genetic/molecular tumor features, we profiled HCC tissue samples with MALDI-IMS and correlated the spatial N-glycosylation with a widely used HCC molecular classification (Hoshida subtypes). MALDI-IMS data displayed trends that could approximately distinguish between subtypes, with subtype 1 demonstrating significantly dysregulated N-glycosylation versus adjacent nontumor tissue. Although there were no individual N-glycan structures that could identify specific subtypes, trends emerged regarding the correlation of branched glycan expression to HCC as a whole and fucosylated glycan expression to subtype 1 tumors specifically. IMPLICATIONS: Correlating N-glycosylation to specific subtypes offers the specific detection of subtypes of HCC, which could both enhance early HCC sensitivity and guide targeted clinical therapies.
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Registered trials
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