ArticleFrontiers in immunology2024
Single-cell RNA sequencing reveals key molecular drivers and immune landscape in uveal melanoma: implications for targeted therapy and prognostic modeling.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Demographic trends and geographic disparities in malignant neoplasm of eye and adnexa-related mortality in the United States, 1999-2023.Eye (London, England) · 2026Article
- Network-based analysis reveals potential microRNA regulation of oncogenic pathways in SOX10-depleted uveal melanoma.Cellular and molecular life sciences : CMLS · 2026Article
- Global research trends in metabolism-related intraocular malignancies: a multi-database bibliometric analysis and cross-validation study.Frontiers in molecular biosciences · 2025Article
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5 authors.
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Abstract
Background: Uveal melanoma (UM), arising from melanocytes in the choroid, accounts for 3% to 5% of all melanocytic tumors and over 70% of intraocular malignancies. Despite effective local treatments, metastasis remains a significant challenge, with more than half of patients developing metastatic disease within ten years. Conventional therapies often yield poor outcomes, highlighting the urgent need for novel therapeutic strategies to enhance survival and prognosis for UM patients. Methods: We conducted a detailed analysis of the GSE139829 dataset, focusing on scRNA-seq data from eight primary UM patients and three with metastatic disease. Through clustering and marker gene expression analyses, we identified distinct subtypes of UM tumor cells and examined their transcriptional, metabolic, and intercellular communication profiles. We developed a novel prognostic model, PCOLCE TCs Risk Score (PTRS), centered on the C5 Results: We identified eight distinct cell types in UM and classified tumor subpopulations into six subgroups. The C5 Conclusion: This study provides insights into UM metastasis via single-cell analysis, identifying C5
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