ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
- Temozolomide and ruxolitinib combination modulates miRNA-associated regulatory networks in glioblastoma stem cells.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Omics in Cutaneous Melanoma.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- SOX2-Induced Linc-ROR Upregulation Inhibits Gastric Carcinoma Cell Proliferation and Metastasis Via the miR-580-3p/ANXA10 Pathway.Biochemical genetics · 2023Article
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- MicroRNA-633 enhances melanoma cell proliferation and migration by suppressing KAI1.Oncology letters · 2021Article
- LncRNA XIST acts as a MicroRNA-520 sponge to regulate the Cisplatin resistance in NSCLC cells by mediating BAX through CeRNA network.International journal of medical sciences · 2021Article
- MicroRNAs: understanding their role in gene expression and cancer.Einstein (Sao Paulo, Brazil) · 2021Review
- Establishment and validation of an autophagy-related prognostic signature for survival predicting in cutaneous melanoma.American journal of cancer research · 2021Article
- Article
- Micro-RNA 122 and micro-RNA 96 affected human osteosarcoma biological behavior and associated with prognosis of patients with osteosarcoma.Bioscience reports · 2020Article
- Circular RNA hsa_circ_0072309 inhibits non-small cell lung cancer progression by sponging miR-580-3p.Bioscience reports · 2020Article
- Systemic Analysis of the Prognosis-Related RNA Alternative Splicing Signals in Melanoma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Article
- Identification of key microRNAs of plasma extracellular vesicles and their diagnostic and prognostic significance in melanoma.Open medicine (Warsaw, Poland) · 2020Article
- Bioinformatic Analysis Identifies Potential Key Genes in the Pathogenesis of Melanoma.Frontiers in oncology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Melanoma of the skin can be associated with early metastases and poor prognosis. This study aimed to identify microRNAs (miRNAs) and target genes associated with prognosis in melanoma using bioinformatics analysis. MATERIAL AND METHODS The Gene Expression Omnibus (GEO) database identified the microarray dataset GSE20994. Differentially expressed miRNAs (DE-miRNAs) were first identified using R language software and validated by GEO2R. Potential target genes of DE-miRNAs were screened, and their targets and prognostic role were evaluated in the miRTarBase database. Pathway enrichment and functional annotation analysis for target genes were established using the DAVID database. miRNA-hub gene networks and protein-protein interaction (PPI) networks were constructed and visualized using the STRING database and Cytoscape. Kaplan-Meier survival curves were constructed using transcriptome and survival data from the UALCAN web tool. RESULTS There were 132 upregulated and 134 down-regulated DE-miRNAs identified from human melanoma samples. From the top three upregulated miRNAs, there were 580 potential predicted target genes, and from the top three down-regulated miRNAs, there 543 potential predicted target genes. miR-300 was upregulated, and miR-629 was down-regulated in melanoma. Two pivotal bub genes, TP53 and GAPDH, were identified in the PPI network. Five out of ten hub genes were modulated by upregulated miR-580, and five by miR-629. Increased mRNA expression of DAPK2 was associated with increased OS, and increased mRNA expression of SKCM, TECPR2, and ZNF781 were associated with reduced OS. CONCLUSIONS Bioinformatics analysis identified miRNAs and target genes associated with melanoma that may represent potential prognostic and therapeutic biomarkers.
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