ArticleInternational journal of ophthalmology2020
Identification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis.
Article in International journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 27 citations in OpenAlex.
- Epigenetics of Malignant Melanoma: Mechanisms, Diagnostic Approaches and Therapeutic Applications.Oncology research · 2026Review
- Development and Validation of an Extracellular Matrix Gene Expression Signature for Prognostic Prediction in Patients with Uveal Melanoma.International journal of molecular sciences · 2025Article
- Mitochondrial ribosomal proteins: potential targets for cancer prognosis and therapy.Frontiers in oncology · 2025Review
- Machine-learning and scRNA-Seq-based diagnostic and prognostic models illustrating survival and therapy response of lung adenocarcinoma.Genes and immunity · 2024Article
- RNA-seq analysis identifies transcriptomic profiles associated with anal cancer recurrence among people living with HIV.Annals of medicine · 2023Article
- Validation of an Ultraviolet Light Response Gene Signature for Predicting Prognosis in Patients with Uveal Melanoma.Biomolecules · 2023Article
- Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.Biological procedures online · 2023Article
- The Cancer/Testis Antigen CT45A1 Promotes Transcription of OncogenicJournal of breast cancer · 2023Article
- Advances in the role of SWI/SNF complexes in tumours.Journal of cellular and molecular medicine · 2023Review
- MicroRNA as a Diagnostic Tool, Therapeutic Target and Potential Biomarker in Cutaneous Malignant Melanoma Detection-Narrative Review.International journal of molecular sciences · 2023Review
- Tumor subtypes and signature model construction based on chromatin regulators for better prediction of prognosis in uveal melanoma.Pathology oncology research : POR · 2023Article
- Identification of 5 microRNA biomarkers associated with the prognosis of uveal melanoma.Medicine · 2022Article
- Article
- SWI/SNF Chromatin Remodeling Enzymes in Melanoma.Epigenomes · 2022Review
- Dysregulation of B7 family and its association with tumor microenvironment in uveal melanoma.Frontiers in immunology · 2022Article
- MiR-520a-5p/PPP5C regulation pattern is identified as the key to gemcitabine resistance in pancreatic cancer.Frontiers in oncology · 2022Article
- A Novel Four Genes of Prognostic Signature for Uveal Melanoma.Journal of oncology · 2022Article
- Identification of the Tumor Immune Microenvironment and Therapeutic Biomarkers by a Novel Molecular Subtype Based on Aging-Related Genes in Hepatocellular Carcinoma.Frontiers in surgery · 2022Article
- Profiling and Integrated Analysis of Differentially Expressed MicroRNAs as Novel Biomarkers of Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Abnormal Expression of Mitochondrial Ribosomal Proteins and Their Encoding Genes with Cell Apoptosis and Diseases.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo identify metastatic genes and miRNAs and to investigate the metastatic mechanism of uveal melanoma (UVM).
methodsGSE27831, GSE39717, and GSE73652 gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database, and the limma R package was used to identify differentially expressed genes (DEGs). Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed using the DAVID online tool. A comprehensive list of interacting DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes (STRING) database and Cytoscape software. The Cytoscape MCODE plug-in was used to identify clustered sub-networks and modules of hub genes from the protein-protein interaction network. GEPIA online software was used for survival analysis of UVM patients (
resultsThere were 1600 up-regulated genes and 1399 down-regulated genes. The up-regulated genes were mainly involved in protein translation in the cytosol, whereas the down-regulated genes were correlated with extracellular matrix organization and cell adhesion in the extracellular space. Among the 2999 DEGs, five genes,
conclusionAfter analyzing the metastasis-related enriched terms and signaling pathways, the up-regulated DEGs are mainly involved in protein synthesis and cell proliferation by ribosome and mitogen-activated protein kinase (MAPK) pathways. However, the down-regulated DEGs are mainly involved in processes that reduced cell-cell adhesion and promoted cell migration in the extracellular matrix through PI3K-Akt signaling pathway, focal adhesion, and extracellular matrix-receptor interactions. Bioinformatics and interaction analysis may provide new insights on the events leading up to the development and progression of UVM.
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