ArticleFrontiers in immunology2022
A Necroptosis-Related Prognostic Model of Uveal Melanoma Was Constructed by Single-Cell Sequencing Analysis and Weighted Co-Expression Network Analysis Based on Public Databases.
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 53 papers.
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53 citing papers in PubMed, 78 citations in OpenAlex.
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- Mapping the role of cytokine signaling at single-cell and structural resolution in uveal melanoma.Genes and immunity · 2025Article
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- Development and validation of a radiomic prediction model for TACC3 expression and prognosis in non-small cell lung cancer using contrast-enhanced CT imaging.Translational oncology · 2025Article
- The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.Frontiers in cellular and infection microbiology · 2025Article
- Mendelian Randomization and Transcriptome Data Analysis Reveal Bidirectional Causal Relationships and Mechanisms between Type 2 Diabetes and Gastric Cancer.Current medicinal chemistry · 2025Article
- Novel Identification of CD74 as a Biomarker for Diagnosing and Prognosing Sepsis Patients.Journal of inflammation research · 2025Article
- Pathomic and bioinformatics analysis of clinical-pathological and genomic factors for pancreatic cancer prognosis.Scientific reports · 2024Article
- Article
- Leveraging MRI radiomics signature for predicting the diagnosis of CXCL9 in breast cancer.Heliyon · 2024Article
- Hypoxia-related lncRNA correlates with prognosis and immune microenvironment in uveal melanoma.Cancer cell international · 2024Article
- Prediction of TNFRSF9 expression and molecular pathological features in thyroid cancer using machine learning to construct Pathomics models.Endocrine · 2024Article
- Construction of a pathomics model for predicting mRNAsi in lung adenocarcinoma and exploration of biological mechanism.Heliyon · 2024Article
- Characterizing the relationship between MRI radiomics and AHR expression and deriving a predictive model for prognostic assessment in glioblastoma.Neuroradiology · 2024Article
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Authors and funding
10 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundUveal melanoma(UVM) is the most common intraocular malignancy and has a poor prognosis. The clinical significance of necroptosis(NCPS) in UVM is unclear.
methodsWe first identified necroptosis genes in UVM by single-cell analysis of the GSE139829 dataset from the GEO database and weighted co-expression network analysis of TCGA data. COX regression and Lasso regression were used to construct the prognostic model. Then survival analysis, immune microenvironment analysis, and mutation analysis were carried out. Finally, cell experiments were performed to verify the role of ITPA in UVM.
resultBy necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001). Besides, the high-NCPS group had higher levels of immune checkpoint-related gene expression, suggesting that they might be more likely to benefit from immunotherapy. The cell experiments confirmed the role of ITPA, the most significant gene in the model, in UVM. After ITPA was knocked down, the activity, proliferation, and invasion ability of the MuM-2B cell line were significantly reduced.
conclusionOur study can provide a reference for the diagnosis and treatment of patients with UVM.
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