ArticleJournal of translational medicine2019
miRNA deregulation targets specific pathways in leiomyosarcoma development: an in silico analysis.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Therapeutic Vulnerabilities of the Key Genetic Drivers in Leiomyosarcoma.Medical sciences (Basel, Switzerland) · 2026Review
- Article
- Review
- MicroRNAs in the Pathogenesis, Prognostication and Prediction of Treatment Resistance in Soft Tissue Sarcomas.Cancers · 2023Review
- Placental miR-3940-3p Is Associated With Maternal Insulin Resistance in Late Pregnancy.The Journal of clinical endocrinology and metabolism · 2021Article
- Extracellular Vesicle-Contained microRNA ofFrontiers in cellular and infection microbiology · 2020Article
- The role of microRNAs in the pathogenesis, grading and treatment of hepatic fibrosis in schistosomiasis.Parasites & vectors · 2019Review
- Ion channels in sarcoma: pathophysiology and treatment options.Pflugers Archiv : European journal of physiology · 2019Review
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Authors and funding
4 authors.
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Abstract
backgroundMicroRNA (miRNA) mediate post-transcriptional gene repression and are involved in a variety of human diseases, including cancer. Soft tissue sarcomas are rare malignancies with a variety of histological subtypes which may occur virtually anywhere in the human body. Leiomyosarcoma is one of the most common subtypes, shows a smooth muscle phenotype and its cancerogenesis is still unclear. The aim of our study was to investigate the potential role of miRNA differential expression in leiomyosarcoma development.
methodsWe first employed the Sarcoma microRNA Expression Database, a repository that describes the patterns of over 1000 miRNA expression in various human sarcoma types, to identify differentially expressed miRNA comparing leiomyosarcoma and smooth muscle samples. Subsequently, we identified putative target genes of those miRNAs with the TargetScan prediction tool. Finally, we evaluated whether the retrieved pool of putative targets was enriched in genes belonging to specific molecular pathways by means of the Enrichr analysis tool. Protein-protein network analysis was analyzed by means of the STRING web tool.
resultsOut of 1120 miRNAs tested, the expression of 301 miRNAs was statistically significantly different between leiomyosarcoma and smooth muscle samples. The hypothetical targets could be predicted for 172 miRNAs. 438 genes were predicted to be the targets with high confidence (cumulative weighted context score cut-off level less than - 1.0) and analyzed for belonging to specific molecular pathways. Pathway analysis suggested that RNA Polymerase III, tRNA functions and synaptic neurotransmission (with special regard to dopamine mediated signaling) could be involved in leiomyosarcoma development.
conclusionsOur results demonstrate that data mining of publicly available repositories can be useful to suggest molecular pathways underlying the pathogenesis of rare tumors such as leiomyosarcoma.
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