ArticleOpen medicine (Warsaw, Poland)2020
Identification of key microRNAs of plasma extracellular vesicles and their diagnostic and prognostic significance in melanoma.
Article in Open medicine (Warsaw, Poland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Omics in Cutaneous Melanoma.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification.Computational and structural biotechnology journal · 2025Article
- Extracellular Vesicles in Skin: Biological Function and Therapeutic Potential.International journal of nanomedicine · 2025Review
- A New Approach to Melanoma Treatment: microRNAs.Current topics in medicinal chemistry · 2024Review
- MicroRNA as a Diagnostic Tool, Therapeutic Target and Potential Biomarker in Cutaneous Malignant Melanoma Detection-Narrative Review.International journal of molecular sciences · 2023Review
- Mir-421 and mir-550a-1 are potential prognostic markers in esophageal adenocarcinoma.Biology direct · 2023Article
- A bibliometric and visualized research on global trends of immune checkpoint inhibitors related complications in melanoma, 2011-2021.Frontiers in endocrinology · 2023Article
- Comprehensive Analysis of LncRNA AC010789.1 Delays Androgenic Alopecia Progression by Targeting MicroRNA-21 and the Wnt/Frontiers in genetics · 2022Article
- Effect of Sun exposure-induced ferroptosis mechanisms on pathology and potential biological processes of primary melanoma by microarray data analysis.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Melanoma is one of the most highly metastatic, aggressive and fatal malignant tumors in skin cancer. This study employs bioinformatics to identify key microRNAs and target genes (TGs) of plasma extracellular vesicles (pEVs) and their diagnostic and prognostic significance in melanoma. The gene expression microarray dataset (GSE100508) was downloaded from the Gene Expression Omnibus database. Differential analysis of miRNAs in pEVs was performed to compare melanoma samples and healthy samples. Then, TGs of the differential miRNAs (DE-miRNAs) in melanoma were selected, and differential genes were analyzed by bioinformatics (including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment, protein-protein interaction network and prognostic analysis). A total of 55 DE-miRNAs were found, and 3,083 and 1,351 candidate TGs were diagnostically correlated with the top ten upregulated DE-miRNAs and all downregulated DE-miRNAs, respectively. Prognostic analysis results showed that high expression levels of hsa-miR-550a-3p, CDK2 and POLR2A and low expression levels of hsa-miR-150-5p in melanoma patients were associated with significantly reduced overall survival. In conclusion, bioinformatics analysis identified key miRNAs and TGs in pEVs of melanoma, which may represent potential biomarkers for the early diagnosis and treatment of this cancer.
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