ArticleFrontiers in endocrinology2023
Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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49 citing papers in PubMed, 60 citations in OpenAlex.
- Review
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- Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines.BMC cancer · 2025Article
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- Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.International journal of molecular sciences · 2025Review
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- Roles and functions of tumor-infiltrating lymphocytes and tertiary lymphoid structures in gastric cancer progression.Frontiers in immunology · 2025Review
- Metabolic reprogramming and immune microenvironment characteristics in laryngeal carcinoma: advances in immunotherapy.Frontiers in immunology · 2025Review
- The malignant signature gene of cancer-associated fibroblasts serves as a potential prognostic biomarker for colon adenocarcinoma patients.Frontiers in immunology · 2025Article
- Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.Frontiers in oncology · 2025Article
- Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.Frontiers in oncology · 2025Article
- Disulfidptosis as a key regulator of glioblastoma progression and immune cell impairment.Frontiers in immunology · 2025Article
- AI-driven eyelid tumor classification in ocular oncology using proteomic data.NPJ precision oncology · 2024Article
- AUP1 transcriptionally activated by KDM5B reprograms lipid metabolism to promote the malignant progression of cervical cancer.International journal of oncology · 2024Article
- Heterogeneity and molecular landscape of melanoma: implications for targeted therapy.Molecular biomedicine · 2024Review
- Integrating single-cell and multi-omic approaches reveals Euphorbiae Humifusae Herba-dependent mitochondrial dysfunction in non-small-cell lung cancer.Journal of cellular and molecular medicine · 2024Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Increasing evidence suggests a correlation between glycosylation and the onset of cancer. However, the clinical relevance of glycosylation-related genes (GRGs) in uveal melanoma (UM) is yet to be fully understood. This study aimed to shed light on the impact of GRGs on UM prognosis. Methods: To identify the most influential genes in UM, we employed the AUCell and WGCNA algorithms. The GRGs signature was established by integrating bulk RNA-seq and scRNA-seq data. UM patients were separated into two groups based on their risk scores, the GCNS_low and GCNS_high groups, and the differences in clinicopathological correlation, functional enrichment, immune response, mutational burden, and immunotherapy between the two groups were examined. The role of the critical gene AUP1 in UM was validated through Results: The GRGs signature was comprised of AUP1, HNMT, PARP8, ARC, ALG5, AKAP13, and ISG20. The GCNS was a significant prognostic factor for UM, and high GCNS correlated with poorer outcomes. Patients with high GCNS displayed heightened immune-related characteristics, such as immune cell infiltration and immune scores. Conclusion: Our gene signature provides an independent predictor of UM patient survival and represents a starting point for further investigation of GRGs in UM. It offers a novel perspective on the clinical diagnosis and treatment of UM.
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