ArticleJournal of translational medicine2024
Single-cell and bulk transcriptome analysis reveals tumor cell heterogeneity and underlying molecular program in uveal melanoma.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Single-cell transcriptomic atlas of the human fetal uveal tract reveals heterogeneity in melanocyte populations.iScience · 2026Article
- Immunoediting and precision biomarkers in prostate cancer: The emerging role of liquid biopsy, immune contexture and HLA genotype (Review).International journal of oncology · 2026Review
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Multi-omics data reveal B cell regulated immune heterogeneity of MIF signaling pathway in uveal melanoma.Cancer cell international · 2026Article
- Single-cell landscape of melanoma reveals ETV5-driven C3 ID4Frontiers in immunology · 2026Article
- Exploring the Dynamic Changes of Intercellular Connections in Cervical Cancer: Insights From Transcriptomic Data Combined With Single-Cell Sequencing.Human mutation · 2026Article
- Harnessing plasma transcriptomics for non-invasive cancer biomarker identification: a comprehensive review.Discover oncology · 2025Review
- Machine learning identifies TIME subtypes linking EGFR mutations and immune states in lung adenocarcinoma.NPJ digital medicine · 2025Article
- Deep learning-based histomorphological subtyping and risk stratification of small cell lung cancer from hematoxylin and eosin-stained whole slide images.Genome medicine · 2025Article
- The Advance of Single-Cell RNA Sequencing Applications in Ocular Physiology and Disease Research.Biomolecules · 2025Review
- The Evolving Landscape of GEP-NENs in the Era of Precision Oncology: Molecular Insights into Tumor Heterogeneity.Cancers · 2025Review
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5 authors.
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Abstract
backgroundUveal melanoma (UM) is a rare and deadly eye cancer with high metastatic potential. Despite the predominance of malignant cells within the tumor microenvironment, the heterogeneity and underlying molecular features remain to be fully characterized.
methodsWe analyzed single-cell transcriptomic profiling of 37,660 malignant cells from 17 UM tumors. A consensus non-negative factorization algorithm was used to decipher transcriptional programs underlying tumor cell-intrinsic heterogeneity. Tumor-infiltrated immune cells were computationally estimated from bulk transcriptomes and bioinformatics methods. A gene signature was derived for subtyping and prognostic stratification and validated in multicenter cohorts.
resultsScRNA-seq analysis revealed the existence of diverse subpopulations and transcriptional variability among malignant cells within and between tumors. Furthermore, we observed that the heterogeneity of malignant cell states and compositions correlated with genomic, immunological, and clinical characteristics. By identifying gene expression programs associated with malignant cell heterogeneity at the single cell level, UM samples were classified into two distinct intra-tumoral subtypes (ITMH
conclusionsOur study provides insight into understanding the intra-tumoral heterogeneity of UM and its potential impact on patient stratification.
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