ArticleJournal of cancer research and clinical oncology2023
Identification of glycogene-based prognostic signature and validation of B3GNT7 as a potential biomarker and therapeutic target in breast cancer.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- A Prognostic Risk Model Based on Immune Genes in Thyroid Cancer and Its Correlation With Tumor-Associated Immune Cell Infiltration Abundance.Cancer medicine · 2026Article
- B3GNT7 regulates mucin glycosylation and protects against colitis and infection.bioRxiv : the preprint server for biology · 2026Article
- Charting the immune terrain: a novel risk model for thyroid cancer prognosis.Frontiers in genetics · 2026Article
- Reduced JAG1 Expression Through miR-200 Overexpression or Crispr-Cas Mediated Knockout Impairs TNBC Growth and Metastasis.Molecular carcinogenesis · 2025Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBreast cancer is the most common cancer worldwide, with the fifth highest mortality rate among all cancers and high risk of metastasis. However, potential biomarkers and molecular mechanisms underlying the stratification of breast cancer in terms of clinical outcomes remain to be investigated. Therefore, we aimed to find a novel prognostic biomarker and therapeutic target for breast cancer patients.
methodsUnsupervised hierarchical clustering was used to perform comprehensive transcriptomic study of total 185 glycogenes in public datasets of breast cancer with clinicopathological and survival information. A glycogene-based signature for subtype classification was discovered using Limma packages, and relevance to four known molecular features was identified by GSVA. Experimental verification was performed and biological functions of B3GNT7 were characterized by quantitative RT-PCR, western blot, transwell assays, and lectin immunofluorescence staining in breast cancer cells.
resultsA 23-glycogene signature was identified for the classification of breast cancer. Among the 23 glycogenes, B3GNTs showed significantly positive associations with ER
conclusionsHerein, we discovered a unique 23-gene signature for breast cancer patient glycogene-type classification. Among these genes, B3GNT7 was shown to be a potential biomarker for unfavorable outcomes and therapeutic target of breast cancer.
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