ArticleFrontiers in immunology2022
Analysis of Tumor Glycosylation Characteristics and Implications for Immune Checkpoint Inhibitor's Efficacy for Breast Cancer.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 16 citations in OpenAlex.
- High-Penetrance Rare Variants Underlying Familial Lung Cancer Risk: Insights From Genetic Epidemiology of Lung Cancer Consortium.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Article
- Immunohistochemical expression of CANT1 and B3GNT3 in invasive ductal carcinoma of the breast: diagnostic and prognostic significance in lymph node metastasis.Diagnostic pathology · 2026Article
- Predicting immune responsiveness in ER-positive breast cancer for personalized therapy: a population-based study.NPJ precision oncology · 2025Article
- Glycoscience in Advancing PD-1/PD-L1-Axis-Targeted Tumor Immunotherapy.International journal of molecular sciences · 2025Review
- MAN2B1 in immune system-related diseases, neurodegenerative disorders and cancers: functions beyond α-mannosidosis.Expert reviews in molecular medicine · 2024Review
- A novel long non-coding RNA LINC00524 facilitates invasion and metastasis through interaction with TDP43 in breast cancer.Journal of cellular and molecular medicine · 2024Article
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- Article
- Identification of disulfidptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer.Frontiers in immunology · 2023Article
- Comprehensive Analysis Identified Glycosyltransferase Signature to Predict Glioma Prognosis and TAM Phenotype.BioMed research international · 2023Article
- Pan-cancer analysis of altered glycosyltransferases confers poor clinical outcomes.Clinical and translational discovery · 2022Article
- Landscape of prognosis and immunotherapy responsiveness under tumor glycosylation-related lncRNA patterns in breast cancer.Frontiers in immunology · 2022Article
- Nuclear size rectification: A potential new therapeutic approach to reduce metastasis in cancer.Frontiers in cell and developmental biology · 2022Review
- Identification of Differentially Expressed microRNAs Associated with Ischemic Stroke by Integrated Bioinformatics Approaches.International journal of genomics · 2022Article
- The cuproptosis-related signature predicts prognosis and indicates immune microenvironment in breast cancer.Frontiers in genetics · 2022Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The alterations of glycosylation, which is a common post-translational modification of proteins, have been acknowledged as key events in breast cancer (BC) oncogenesis and progression. The aberrant expression of glycosyltransferases leads to aberrant glycosylation patterns, posing the diagnostic potential in BC outcomes. The present study aims to establish a glycosyltransferase-based signature to predict BC prognosis and response to immune checkpoint inhibitors. We firstly screened 9 glycosyltransferase genes from The Cancer Genome Atlas (TCGA) database and accordingly established a glyco-signature for predicting the prognosis in BC patients. Patients with BC were successfully divided into high-risk and low-risk groups based on the median cutoff point for risk scores in this signature. Next, the combinational analyses of univariate and multivariate Cox regression, Kaplan-Meier, and receiver operating characteristic (ROC) curves were used to prove that this glyco-signature possessed excellent predictive performance for prognosis of BC patients, as the high-risk group possessed worse outcomes, in comparison to the low-risk group. Additionally, the Gene Set Enrichment Analysis (GSEA) and immunologic infiltration analysis were adopted and indicated that there was a more immunosuppressive state in the high-risk group than that in the low-risk group. The clinical sample validation verified that glycosyltransferase genes were differentially expressed in patients in the low- and high-risk groups, while the biomarkers of antitumor M1 macrophages were increased and N-glycosyltransferase STT3A decreased in the low-risk group. The final in vitro assay showed that the silencing of STT3A suppressed the proliferation and migration of BC cells. Collectively, our well-constructed glyco-signature is able to distinguish the high- and low-risk groups and accordingly predict BC prognosis, which will synergistically promote the prognosis evaluation and provide new immunotherapeutic targets for combating BC.
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